Wednesday, October 30, 2013

[Comp-neuro] Frontiers Computational Neuroscience call for papers

Frontiers call for papers

-----------------------------

Frontiers in Computational Neuroscience, special issue on "Hierarchical object representations in the visual cortex and computer vision"

 

Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. 

In this special issue we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.

 

All articles become freely available upon publication and benefit from the unique marketing tools developed by Frontiers. As is the standard for Gold open-access journals, articles submitted to a research topic will be subject to a publishing fee.

 

Abstract submssion deadline: Dec, 2nd 2013

Full paper submission deadline: Apr 1st 2014

 

http://www.frontiersin.org/computational_neuroscience/researchtopics/hierarchical_object_representa/2258

[Comp-neuro] Simulation of Adaptive Behavior 2014, Call for Papers

----------------------------------------------------------------------------------

CALL FOR PAPERS

FROM ANIMALS TO ANIMATS 13
The 13th International Conference on the SIMULATION OF ADAPTIVE BEHAVIOR (SAB2014)
22-26 July 2014, Castellon, Spain

(coming soon) http://www.sab2014.org/ (coming soon)


ORGANIZING COMMITTEE
Conference Chairs: Angel P. del Pobil, John Hallam
Program Chairs: Eris Chinellato, Enric Cervera, Antonio Morales
Organizing Committee Chair: Ester Martinez-Martin


IMPORTANT DATES
Call for workshops deadline: March 3rd, 2014
Paper submission deadline: January 27th, 2014
Conference dates: July 22nd-24th, 2014
Workshops dates: July 27th and 28th, 2014


The objective of this interdisciplinary conference is to bring together
researchers in computer science, artificial intelligence, alife, control,
robotics, neurosciences, ethology, evolutionary biology, and related fields so as
to further our understanding of the behaviors and underlying mechanisms that allow
natural and artificial animals to adapt and survive in uncertain environments. The
conference will focus on experiments with well-defined models --- robot models,
computer simulation models, mathematical models --- designed to help characterize
and compare various organizational principles or architectures underlying adaptive
behavior in real animals and in synthetic agents, the animats.

Contributions treating any of the following topics from the perspective of
adaptive behavior will receive special emphasis:

The Animat approach
Motor control
Body and brain co-evolution
Self-assembling and self-replication
Sensory-motor coordination
Action selection and behavioral sequencing
Navigation and mapping
Internal models and representation
Evolution, development and learning
Motivation and emotion
Collective and social behavior
Communication and language
Emergent structures and behaviors
Neural correlates of behavior
Evolutionary and co-evolutionary approaches
Bio-inspired and hybrid robotics
Autonomous robotics
Humanoid robotics
Cognitive and developmental robotics
Embodiment and soft robotics
Software agents and virtual creatures
Applied adaptive behavior
Animats in education
Philosophical and psychological issues

Authors should make every effort to suggest implications of their work for both
natural and artificial animals, and to distinguish the portions of their work
which use simulation from those using a physical agent.

Papers that do not deal explicitly with adaptive behavior will be rejected.

CONFERENCE FORMAT:
Following the tradition of SAB conferences, the conference will be single track,
with additional poster sessions. Each poster session will start with poster
spotlights giving presenters the opportunity to present orally their main results.

PUBLISHER: Springer Lecture Notes on Artificial Intelligence.
Both oral and poster presentations will be published in the conference
proceedings. Selected authors may additionally be invited to submit extended
versions for a conference Special Issue of the Journal of Adaptive Behavior.

SUBMISSION INSTRUCTIONS:
Submitted papers must not exceed 10 pages.
Detailed submission instructions will be available from the conference Web site.

CONTACT US:
Please contact us at sab2014@isab.org if you have questions

John Hallam, Angel P. del Pobil
---------------------------------------------------------------------------------
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Tuesday, October 29, 2013

[Comp-neuro] RAST for Neuroscience 2013, San Diego, Nov. 9 - 13

Dear all,

Apologies if you have received multiple copies.

I am please to announce the Related Abstract Search Tool (RAST) for
Neuroscience 2013 (SfN2013)!

The RAST was developed by the former Laboratory for Neuroinformatics at
RIKEN Brain Science Institute. The lab has been closed, but I'm glad
the tool could have been made available this year again!
The RAST for Neuroscience 2013 (SfN2013) can be accessed at

http://ras.ni.brain.riken.jp/SfN2013/

For mobile devices such as iPad,iPhone,and Android based tablets
and smartphones, a web application is available at:

http://ras.ni.brain.riken.jp/SfN2013/mobile/htdocs

Since this is a web application, all you need is a web browser.

The RAST allows you to search not only by providing keyword(s), but
also by selecting one or multiple abstracts which you are interested
in to search for its related abstracts. This feature may provide
results focused on the user's interest. That is, abstracts related
to a single abstract by means of document similarity may belong to
a different research topic. However, abstracts mutually similar to
multiple selected abstracts have higher chance in belonging to the
similar topic. RAST also suggests possible candidates of keywords
by automatically extracting major words from the list of related
abstracts. You can also use these words to refine your search.
Moreover, not all related abstracts will contain the provided
keyword(s). These abstracts cannot be searched by the ordinary
keyword search, and thus we call them "Hidden treasure". You can
create a list by clicking on Add to Cart button at each abstract,
where abstracts will be sorted by date and time. You can also
print the list with or without the abstract body from your Printing
Cart. You can restore your "Printing Cart" by saving the ID which is
displayed on the top right corner. Try and find your "hidden treasures"
with RAST! A quick guide is shown on the top page, and a detailed
guide can be accessed by clicking on "How to use".

Any comments or questions are very welcomed at:
ras@ni.brain.riken.jp


Shiro Usui
-------------------------------------------
Shiro USUI, Ph.D usui@eiiris.tut.ac.jp
EIIRIS, ToyohashiTech.(Toyohashi Univ.Tech)
Hibarigaoka, Tempaku, Toyohashi 441-8580 Japan
Tel:+81-532-81-5154
Cel:+81-90-7175-0861
http://www.eiiris.tut.ac.jp
-------------------------------------------
INCF Japan-node (NIJC) RIKEN BSI
Hirosawa, Wako, Saitama 351-0198 Japan
usuishiro@riken.jp
Tel:+81-48-467-6454
Cel:+81-90-7175-0861
http://www.neuroinf.jp
-------------------------------------------
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[visionlist] RAST for Neuroscience 2013, San Diego, Nov. 9 - 13

Dear all,

Apologies if you have received multiple copies.

I am please to announce the Related Abstract Search Tool (RAST) for
Neuroscience 2013 (SfN2013)!

The RAST was developed by the former Laboratory for Neuroinformatics at
RIKEN Brain Science Institute. The lab has been closed, but I'm glad
the tool could have been made available this year again!
The RAST for Neuroscience 2013 (SfN2013) can be accessed at

http://ras.ni.brain.riken.jp/SfN2013/

For mobile devices such as iPad,iPhone,and Android based tablets
and smartphones, a web application is available at:

http://ras.ni.brain.riken.jp/SfN2013/mobile/htdocs

Since this is a web application, all you need is a web browser.

The RAST allows you to search not only by providing keyword(s), but
also by selecting one or multiple abstracts which you are interested
in to search for its related abstracts. This feature may provide
results focused on the user's interest. That is, abstracts related
to a single abstract by means of document similarity may belong to
a different research topic. However, abstracts mutually similar to
multiple selected abstracts have higher chance in belonging to the
similar topic. RAST also suggests possible candidates of keywords
by automatically extracting major words from the list of related
abstracts. You can also use these words to refine your search.
Moreover, not all related abstracts will contain the provided
keyword(s). These abstracts cannot be searched by the ordinary
keyword search, and thus we call them "Hidden treasure". You can
create a list by clicking on Add to Cart button at each abstract,
where abstracts will be sorted by date and time. You can also
print the list with or without the abstract body from your Printing
Cart. You can restore your "Printing Cart" by saving the ID which is
displayed on the top right corner. Try and find your "hidden treasures"
with RAST! A quick guide is shown on the top page, and a detailed
guide can be accessed by clicking on "How to use".

Any comments or questions are very welcomed at:
ras@ni.brain.riken.jp


Shiro Usui
-------------------------------------------
Shiro USUI, Ph.D usui@eiiris.tut.ac.jp
EIIRIS, ToyohashiTech.(Toyohashi Univ.Tech)
Hibarigaoka, Tempaku, Toyohashi 441-8580 Japan
Tel:+81-532-81-5154
Cel:+81-90-7175-0861
http://www.eiiris.tut.ac.jp
-------------------------------------------
INCF Japan-node (NIJC) RIKEN BSI
Hirosawa, Wako, Saitama 351-0198 Japan
usuishiro@riken.jp
Tel:+81-48-467-6454
Cel:+81-90-7175-0861
http://www.neuroinf.jp
-------------------------------------------
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[Comp-neuro] Doctoral studies in Computational/Theoretical Neuroscience at New York University

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A full listing of neuroscience-related graduate programs is available at http://neuroscience.nyu.edu, and a listing of computationally-oriented faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests.

** Center for Neural Science (CNS) (deadline: 12 December)
[http://www.cns.nyu.edu/doctoral/]
[Graduate Studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/]

* André A. Fenton - Molecular, neural, behavioral, and computational aspects of memory.
* Paul W. Glimcher - Decision-making in humans and animals.
* Roozbeh Kiani - Vision and decision-making.
* Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making.
* Tony Movshon - Vision and visual development.
* Bijan Pesaran - Neuronal dynamics and decision making.
* Alex Reyes - Functional interactions of neurons in a network.
* John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation.
* Nava Rubin - Visual perception and the neural basis of vision.
* Robert Shapley - Visual physiology and perception.
* Eero Simoncelli - Computational vision.
* Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits.

** Psychology, Cognition & Perception program (deadline: 12 December)
[http://www.psych.nyu.edu/programs/cp/]

* Nathaniel Daw (also in CNS) - Models of decision-making and neuromodulation.
* David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention.
* Michael Landy - Computational approaches to vision.
* Laurence Maloney - Mathematical approaches to psychology and neuroscience.
* Gary Marcus - Origins of the human mind.
* Denis Pelli - Visual object recognition.
* Jonathan Winawer - Visual perception and memory.

** Mathematics (deadline: 18 December )
[http://math.nyu.edu/degree/phd/]

* David Cai - Nonlinear stochastic behavior in physical and biological systems.
* David McLaughlin - Nonlinear wave equations, computational visual neuroscience.
* Aaditya Rangan - computational neurobiology, numerical analysis.
* Charles Peskin - Mathematical biology.
* Michael Shelley - Modeling and large-scale computation, computational visual neuroscience.
* Daniel Tranchina - Information processing in the retina.

** Computer Science (deadline: 12 December)
[http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html]

* Davi Geiger - Computational vision and learning.
* Yann LeCun - machine learning, hierarchical visual processing, robotics.

** Electrical and Computer Engineering, Poly campus, Brooklyn (deadline: 1 December)
[http://www.poly.edu/academics/programs/electrical-engineering-phd]

* Jonathan Viventi - Brain-computer interfaces and brain recording technologies.

** Economics (deadline: 18 December)

* Andrew Caplin - Economic theory, neurobiology of decision.
* Andrew Schotter - Experimental economics, game theory, neurobiology of decision.


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[Comp-neuro] 2 Postdoc positions, Insect Robotics Group, Edinburgh

Two postdoctoral research associate positions are available in the Insect Robotics group, led by Professor Barbara Webb at the University of Edinburgh, to work on computational neuroscience and robot models of learning in larval Drosophila, as part of the European FET-Open project MINIMAL (Miniature Insect Model of Active Learning).

You must either already have a PhD in a relevant area or be nearing completion of your PhD studies, and must have a track record of related publications. Excellent skills in programming are essential. Candidates with expertise in large scale spiking neuron simulations, behavioural analysis methods, and/or neuroanatomical databases will be preferred. Ideally, candidates would also have knowledge of invertebrate brain and behaviour models, and/or familiarity with issues in learning theory from a computational perspective.

The posts are available from 1st January 2014, ending December 30th 2017. The closing date and interviews will be in early December. Initial enquiries should be made directly to Barbara Webb <B.Webb@ed.ac.uk>.

Further details:

MINIMAL is a European research project funded by the EC Seventh Framework FET-Open. The MINIMAL consortium consists of the University of Edinburgh (co-ordinating site); Leibniz Institute for Neurobiology (Germany); Centre for Genomic Regulation (Spain); and Brainwave Discovery (UK).

The project takes biological inspiration for a vision of small low-power devices that are able to learn rapidly and autonomously about environmental contingencies, enabling prediction and adaptive anticipatory actions. Larval Drosophila have fewer than 10,000 neurons, yet express a variety of orientation and learning behaviours, including non-trivial anticipatory actions requiring context-dependent evaluation of their value. Current computational learning theory cannot fully account for or replicate these capacities. We aim to develop a new foundation for understanding natural learning by developing a complete multilevel model of learning in larvae.

Our aims are: (1) to analyse at a fine scale how ongoing larval behaviour is controlled and altered by associative conditioning, linked to agent-based models that ground learning capabilities in sensorimotor control; (2) to build one-to-one computational neural models that can be validated by exploiting the recent expansion of the Drosophila neurogenetic toolkit to gain unprecedented ability to characterise and manipulate neural circuits during unconstrained behaviour; (3) to derive from these models novel, generalisable algorithms and circuit architectures that can be used to enhance the learning and anticipatory capabilities of machines.

Principal Duties

You will be expected to work with other members of the project and other sites in the development of computational models of larval behaviour, larval neural circuits and learning algorithms.

RA1 will take a leading role in the development of the neural circuit model. This will be a spiking neural model that copies one-to-one the neurons in the olfactory learning pathway of Drosophila larvae. It will be interfaced to a behavioural simulation, and to a robot model, and will be used to test hypotheses about the key mechanisms and locations of synaptic modification, and how the acquisition of associations interacts with behavioural control. Predictions from the model will be tested by our project partners using neurogenetic methods to measure and alter neural function in freely behaving animals.

RA2 will take a leading role in the derivation of abstracted algorithms for efficient minimalist learning based on the behavioural and neural models investigated in the project. They will also, as appropriate, be involved in the development of a comprehensive data base, the Virtual Larvae Brain, of neural anatomy, connectivity and physiology of the brain of larval Drosophila, and in development of advanced methods for tracking and analysing larval behaviour under diverse sensory and learning conditions.

Both RAs will be crucially involved in the scientific direction of the project, in dissemination of project results through publications and scientific meetings, in supervision of PhD students associated with the project, in day-to-day management and regular reporting of progress.

The posts are based in the School of Informatics, the largest, longest established and highest quality research grouping in Informatics in the UK. The University of Edinburgh provides a range of tailored training and career development programmes for postdoctoral research staff and you will be strongly encouraged to participate.

--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

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Monday, October 28, 2013

[Comp-neuro] 3 year Postdoc in Neural Population Model Data Assimilation, Reading, UK

Postdoctoral Fellow in Neural Population Model Data Assimilation
School of Systems Engineering, School of Meteorology and Center for Integrative Neuroscience and Neurodynamics
University of Reading, UK

Closing date: 21 November 2013
Reference number: RS13077

Interviews: 28 November 2013
Start date: 1 December 2013, or as soon as possible thereafter

Post type: full-time, fixed term for 3 years
Payscale: £27,854 to £36,298 per annum

You will play a pivotal role in an exciting interdisciplinary collaboration between the School of Systems Engineering (Prof Ingo Bojak), the School of Meteorology (Prof Peter Jan van Leeuwen) and the Center for Integrative Neuroscience and Neurodynamics (CINN, Prof Douglas Saddy) at the University of Reading. Together we will bring world-leading Data Assimilation techniques, developed in particular for weather forecasting, to bear on computational neuroscience by demonstrating that spontaneous and task-driven neuroimaging data (EEG and fMRI BOLD) can be described, understood and forecast in terms of highly realistic and complex models comprising a large number of neural masses distributed over a cortical discretization mesh. 

You will have:

• Prior research experience in at least one of the following fields: Data Assimilation, Computational Neuroscience or Computational Neuroimaging Analysis
• Excellent skills in applied mathematics, scientific programming, scientific methods and research presentation
• A PhD in a relevant field, excellent scientific publication(s) and a track record of producing useful software (preferably C/C++ and Fortran 90)
• Enthusiasm for an interdisciplinary project focused on neuroscience, a winning, creative personality and the drive to push technical boundaries together with our team

For further particulars, please click here.

Informal questions are welcomed by Prof Ingo Bojak (Project Leader, Neural Population Models)Prof Peter Jan van Leeuwen (Project Co-Leader, Data Assimilation) and Prof Douglas Saddy (Project Co-Leader, Neuroimaging).

To apply click here on the "Apply online" button. Alternatively, if you wish to apply using a hardcopy form please email recruitment@reading.ac.uk or contact Human Resources, University of Reading, Whiteknights, PO Box 217, Reading RG6 6AH or Telephone +44(0)118 378 6771 (voicemail).

Please quote the relevant reference number RS13077.

We value a diverse workforce and welcome applications from all sections of the community.

[Comp-neuro] Reminder: Advances in Neural Population Models and Their Networks

Dear colleagues, 

May we remind you of the Open Thematic Series ("special issue") in the Springer open access journal EPJ Nonlinear Biomedical Physics:

Advances in Neural Population Models and Their Networks 

This special issue arises from two CNS*13 workshops ("Advances in Neural Mass Modelling" and "Full Brain Network Dynamics - Modelling, Analyses, Experiments", respectively), but welcomes topical submissions from all.

Deadline for submissions is 15 November 2013, and will not be moved. The full announcement can be found here as PDF, but is also reproduced below. If you have any questions please feel free to contact us via i.bojak@reading.ac.uk.

As (guest) editors, we look forward to receiving your contributions to what promises to be an exciting special issue.

Best wishes,
Ingo Bojak, Stephan van Gils and Sid Visser


Full announcement
Neural population models (NPMs) describe the overall behaviour of large ensembles of neurons. Various names have been used for this general approach according to mathematical and conceptual detail: neural mass models, mean field models, neural field models, cortical field theory, etc. Since not all neurons are modelled individually, a distinct advantage of these lumped models is the reduction in dimensionality of both the parameter and variable space, which reduces computation time and makes possible sophisticated mathematical analyses of the model's behaviour as well as their application to experimental data. Nevertheless, NPMs retain their biological interpretability, allowing researchers to investigate a wide range of brain function in health and disease, as well as the effects of drugs and other extraneous influences. 

Current non-invasive neuroimaging methods such as EEG, fMRI and MEG measure in various ways the activity of sizable groups of neurons, making their data a natural target for NPMs. Furthermore, thanks to the speed with which NPMs can be evaluated one can computationally match the ability of these modalities to record the activity of entire brains. In combination with rapid experimental progress in determining the large scale connectivity (the connectome), this is leading to novel NPM-based methods for the modelling of partial or even full brain networks. Typically such models are characterized by time delays via signal propagation along connecting fibres with NPMs as network nodes. They promise to make NPMs the tool of choice for neuroimaging analysis in the future. 

Topics of interest for this thematic series include but are not limited to the following advances in neural population modelling: 
• the inclusion of neural mechanisms such as spike rate adaptation or bursting 
• the effects of higher order statistics on the dynamics 
• the formal and/or computational correspondence between microscopic and macroscopic models 
• adapting models for different regions of the brain 
• describing pathologies and drug effects 
• the development of new analytic tools for these systems 
• determining the effects of connectivity on dynamics 
• building partial and full brain networks 
• studying large scale brain dynamics in health and disease 
• addressing cognition through associated brain processes 
Authors are cordially invited to submit original research papers on novel techniques, theoretical analyses and simulations, as well as applications to experiment and data analysis, of recent developments in neural population models and their networks. 

Submission Instructions
Before submission, authors should carefully read over the 'Instructions for Authors', which are located at http://www.epjnonlinearbiomedphys.com/authors/instructions. Prospective authors should submit an electronic copy of their complete manuscript through the SpringerOpen submission system at http://www.epjnonlinearbiomedphys.com/manuscript according to the submission schedule. They should choose the section 'Systems Neurosciences and Integrative Brain Research' and then choose the subsection "Thematic series: Advances in Neural Population Models and Their Networks". In addition, they should specify the manuscript as a submission to the "Thematic series on Advances in Neural Population Models and Their Networks" in the cover letter. 

Submission Schedule 
Manuscript due: November 15, 2013 

Guest Editors 
Ingo Bojak, School of Systems Engineering, University of Reading, UK and Donders Centre for Neuroscience, Radboud University Nijmegen (Medical Centre), The Netherlands 
Stephan A. van Gils, Applied Mathematics, University of Twente, The Netherlands 
Sid Visser, School of Mathematical Sciences, University of Nottingham, UK 

For any queries please contact Ingo Bojak, i.bojak@reading.ac.uk.

[Comp-neuro] Vacancy: ESR Marie Curie training position in Amsterdam


CESR2:
The link between single cell activity and cognitive performance

One ESR Marie Curie training position in the field of computational neuroscience is available at the Department of Integrative Neurophysiology at
the Center for Neurogenomics and Cognitive research (www.cncr.nl) VU University Amsterdam, in the
team of Christiaan de Kock within the Innovative Doctorate Program CognitionNet.

The project involves data-mining existing data-sets on spiking activity of identified cortical neurons of awake (head-fixed) behaving rats. We are looking for a candidate with experience in data processing, programming or statistical analysis.

for more information:

http://www.cncr.nl/jobs/vacancies   (CESR2)

evelyn.van.royen@sylics.com

Yours sincerely, Christiaan de Kock
--   Christiaan PJ de Kock, PhD  Dept. of Integrative Neurophysiology  Center for Neurogenomics and Cognitive Research (CNCR)  Neuroscience Campus   VU University Amsterdam  De Boelelaan 1085, room C-456  1081 HV Amsterdam  The Netherlands    telnr. 0031 20 598 37 43  faxnr. 0031 20 598 71 12  christiaan.de.kock@falw.vu.nl  cncr.nl

[Comp-neuro] reminder, Sparks Workshop Announcement: Neuroengineering the Brain

Dear CompNeuro members,

 

  -- reminder --

 

we cordially invite you to the NNCN Sparks Workshop

 

                Neuroengineering the Brain: from Neuroscience to Robotics ... and back

 

taking place December 2-4, 2013 near Munich, Germany.

 

The workshop brings together leading researchers in the border areas between computational neuroscience and systems engineering with a focus on robotics, to discuss currently available neuromorphic computing approaches applicable in future technical systems.

 

Detailed information: http://www.sparks2013.de

 

Attendance is limited; please register on the web pages as soon as possible if you want to attend.

Seats will be allocated on first-come-first-served basis.

 

 

We are very much looking forward to your participation!

 

The workshop organizing team

 

  Jorg Conradt, Gordon Cheng, Stefan Ehrlich, Susanne Schneider

 

 

--

Jƶrg Conradt

Prof. of Neuroscientific System Theory      www.nst.ei.tum.de

Cluster "Cognition for Technical Systems"   www.cotesys.org

Institute of Automatic Control Engineering  www.lsr.ei.tum.de

Technische UniversitƤt MĆ¼nchen, Karlstr. 45, 80333 Munich, Germany

Tel: +49 89 289-26902, Fax: +49 89 289-26901, E-mail: conradt@tum.de

 

Sunday, October 27, 2013

[visionlist] Postdoctoral researcher positions available, Laboratory for Integrated Theoretical Neuroscience at RIKEN Brain Science Institute, Japan

Dear colleagues,

Applications are invited for opening positions for postdoctoral scientists to work at the Laboratory for Integrated Theoretical Neuroscience (Lab Head: Hiro Nakahara), RIKEN Brain Science Institute. Our laboratory's long-term research goal is to understand the computational principles that underlie the way neural systems realize adaptive decision-making and associated learning. We work on two main areas, decision making and neural coding, using computational approaches and conducting human fMRI experiments. In this way, we build computational and mathematical models and analyze behavioral, neurophysiological, and imaging data, often closely combined with experimental investigations. (Find details about our laboratory on our website: http://www.itn.brain.riken.jp). We are seeking enthusiastic and well-qualified postdoctoral fellows to join our research activities in any of the following topics. (This job advert is on http://www.brain.riken.go.jp/en/careers/20131021_h_!
nakahara_r.html).

1) Human fMRI experiments: We study value-based (reward-based) decision-making and learning as well as social decision-making and learning. We welcome candidates who want to investigate the underlying neural and cognitive processes with respect to key computations such as model-based analysis (e.g., reinforcement learning and Bayesian frameworks). We are also interested in the techniques of neural decoding and connectivity analysis, combined with model-based analyses, and extending our research into the domain of computational psychiatry.

2) Modeling studies: We build computational and mathematical models for understanding the neural, cognitive, and computational processes of value-based and social decision-making. We are interested, for example, in integrating reinforcement learning with state representational learning and in investigating the relationship of model-free and model-based reinforcement learning in neural circuits. Circuit-wise, we are interested in the basal ganglia-related circuit, including dopamine neuron functions and in relation to prefrontal areas and other subcortical areas (e.g., the lateral habenula, amygdala, and neuromodulator circuits).

3) Neural coding studies: We analyze neural data, particularly fMRI and neurophysiological data, often developing new methods of analysis. We address to the underlying neural mechanisms for decision-making and, more generally, contribute to understanding neural coding: computation and coding realized by the collective activity and interactions of neurons. With respect to fMRI data, we plan to advance model-based analysis, for instance, in combination with developing methods for neural decoding and connectivity analysis. As for neurophysiological data (e.g., via collaboration with experimental laboratories using animal experiments), we are analyzing dopamine neural activity from behaving monkey experiments, based on new theories of reinforcement learning, and are also planning to analyze large-scale simultaneous recording of neural activities from behaving rat experiments, with the aim of answering how neural interactions give rise to reinforcement and representational learni!
ng.

Applicants should have, or be expecting to receive, a Ph.D., and have research interest and background in the area of (or related to) research described above. Please send your application to itninfo@brain.riken.jp; for what to be sent as the application materials, please refer to http://www.brain.riken.go.jp/en/careers/20131021_h_nakahara_r.html. Application review will begin immediately and continue until the position is filled. Start date is flexible, but an early starting time is preferred. Informal inquiry should also be sent to itninfo@brain.riken.jp.

Best wishes,

Hiro

Hiroyuki Nakahara, Ph.D.
Laboratory for Integrated Theoretical Neuroscience
RIKEN Brain Science Institute
http://www.itn.brain.riken.jp

--
hiroyuki nakahara
http://www.itn.brain.riken.jp

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[Comp-neuro] Postdoctoral researcher positions available, Laboratory for Integrated Theoretical Neuroscience at RIKEN Brain Science Institute, Japan

Dear colleagues,

Applications are invited for opening positions for postdoctoral scientists to work at the Laboratory for Integrated Theoretical Neuroscience (Lab Head: Hiro Nakahara), RIKEN Brain Science Institute. Our laboratory's long-term research goal is to understand the computational principles that underlie the way neural systems realize adaptive decision-making and associated learning. We work on two main areas, decision making and neural coding, using computational approaches and conducting human fMRI experiments. In this way, we build computational and mathematical models and analyze behavioral, neurophysiological, and imaging data, often closely combined with experimental investigations. (Find details about our laboratory on our website: http://www.itn.brain.riken.jp). We are seeking enthusiastic and well-qualified postdoctoral fellows to join our research activities in any of the following topics. (This job advert is on http://www.brain.riken.go.jp/en/careers/20131021_h_!
nakahara_r.html).

1) Human fMRI experiments: We study value-based (reward-based) decision-making and learning as well as social decision-making and learning. We welcome candidates who want to investigate the underlying neural and cognitive processes with respect to key computations such as model-based analysis (e.g., reinforcement learning and Bayesian frameworks). We are also interested in the techniques of neural decoding and connectivity analysis, combined with model-based analyses, and extending our research into the domain of computational psychiatry.

2) Modeling studies: We build computational and mathematical models for understanding the neural, cognitive, and computational processes of value-based and social decision-making. We are interested, for example, in integrating reinforcement learning with state representational learning and in investigating the relationship of model-free and model-based reinforcement learning in neural circuits. Circuit-wise, we are interested in the basal ganglia-related circuit, including dopamine neuron functions and in relation to prefrontal areas and other subcortical areas (e.g., the lateral habenula, amygdala, and neuromodulator circuits).

3) Neural coding studies: We analyze neural data, particularly fMRI and neurophysiological data, often developing new methods of analysis. We address to the underlying neural mechanisms for decision-making and, more generally, contribute to understanding neural coding: computation and coding realized by the collective activity and interactions of neurons. With respect to fMRI data, we plan to advance model-based analysis, for instance, in combination with developing methods for neural decoding and connectivity analysis. As for neurophysiological data (e.g., via collaboration with experimental laboratories using animal experiments), we are analyzing dopamine neural activity from behaving monkey experiments, based on new theories of reinforcement learning, and are also planning to analyze large-scale simultaneous recording of neural activities from behaving rat experiments, with the aim of answering how neural interactions give rise to reinforcement and representational learni!
ng.

Applicants should have, or be expecting to receive, a Ph.D., and have research interest and background in the area of (or related to) research described above. Please send your application to itninfo@brain.riken.jp; for what to be sent as the application materials, please refer to http://www.brain.riken.go.jp/en/careers/20131021_h_nakahara_r.html. Application review will begin immediately and continue until the position is filled. Start date is flexible, but an early starting time is preferred. Informal inquiry should also be sent to itninfo@brain.riken.jp.

Best wishes,

Hiro

Hiroyuki Nakahara, Ph.D.
Laboratory for Integrated Theoretical Neuroscience
RIKEN Brain Science Institute
http://www.itn.brain.riken.jp

--
hiroyuki nakahara
http://www.itn.brain.riken.jp

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Friday, October 25, 2013

[Comp-neuro] Postdoctoral Position in Cerebellar Modeling

A postdoctoral position in the area of biological neuron modeling  in the cerebellar nuclei is available in the lab of Dieter Jaeger at Emory University (Atlanta, USA).  The project is tightly integrated with an experimental project of recording multiple cerebellar neurons in behaving mice in the lab of Detlef Heck in Memphis (TN, USA) and aims to reproduce recorded cerebellar nuclei activity in compartmental simulations.  It is funded by an NIH CRCNS award.  Simulations are based on a published model of cerebellar nuclei neurons (Steuber, V., N. W. Schultheiss, et al. (2011)  "Determinants of synaptic integration and heterogeneity in rebound firing explored with data driven models of deep cerebellar nucleus cells." JCNS 30: 633-658; Steuber, V. and D. Jaeger (2013). "Modeling the generation of output by the cerebellar nuclei." Neural Networks 47(0): 112-119.).

For productive engagement in this project the candidate must have previous experience in compartmental modeling using Neuron or Genesis simulators as well as be proficient in using Matlab.  The position is available immediately.  Compensation is based on posted NIH NRSA levels.

Interested candidates please email djaeger@emory.edu with a C.V. a brief statement of research interests, and the name of two references.  Pre-application questions are also welcome.

 

--
Dieter Jaeger
Professor
Department of Biology, Emory University
1510 Clifton Rd., Atlanta, GA 30322
404 727 8139, e-mail: djaeger@emory.edu

http://www.biology.emory.edu/research/Jaeger

 




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[Comp-neuro] Postdoctoral Fellow: Indianapolis, US/Paris, France

Postdoctoral position:  Indianapolis, Indiana, United States/Paris, France    

A postdoctoral position is available for a USA-France collaborative project on the influence of alcohol on the central dopamine system. The project combines computational and experimental techniques. The post-doc will design a biophysical model of the brain circuitry affected by alcohol. The position is available beginning January 2014 for up to three years. The time will be divided between two institutions: Indiana University-Purdue University at Indianapolis, Indiana, USA, and Ɖcole Normale SupĆ©rieure, Paris, France. In Indianapolis, the post-doc will work with Prof. Kuznetsov (Mathematics Dept.) and Prof. Lapish (Psycology Dept.). In Paris, he or she will work with Prof. Gutkin (Group of Neural Theory, ENS) and Prof. Mamelli (Institut du Fer a Moulin, INSERM). Both locations provide an excellent environment for collaborative research in quantitative biosciences.

Qualifications:  Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience.

How to Apply:  Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet at iupui.edu, or by regular mail:  402 N. Blackford Street, LD 270, Indianapolis, IN 46202.  

IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Patti Holt at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.edu and www.math.iupui.edu.    


--
Alexey Kuznetsov
Associate Professor
Dept. of Mathematical Sciences, IUPUI
Science Building, LD 270,
402 N. Blackford St.,
Indianapolis, IN

Thursday, October 24, 2013

[Comp-neuro] Job offer: PhD student in computational neuroscience in JĆ¼lich, Germany

Dear all,

we are are seeking a PhD student in computational neuroscience - please find more information below.

Kind regards,

Martina





Project title:

Structure, dynamics and function of the septo-hippocampal network in Alzheimer's disease

Project summary:

Increasing evidence points to a cascade of functional and neuropathological changes in the progression of Alzheimer's disease (AD), from early synaptic dysfunction to synapse and cell loss at later stages. The medial septal nucleus and the hippocampus are among the first brain structures affected by progressing AD. It is widely accepted that the hippocampus is crucial for the formation of new memories. The medial septum plays a central role in generating rhythmic theta activity in the hippocampus, thereby promoting synaptic plasticity in the hippocampus and, hence, learning.

In a joint project with Prof. Dr. Stefan Remy from the German Center for Neurodegenerative Diseases (DZNE; http://www.dzne.de/en/sites/bonn/research-groups/remy.html), we will investigate how AD related changes at the synaptic and neuronal level affect the dynamics and the functional properties of the septo-hippocampal network during different stages of the disease. We will combine mathematical modeling approaches and novel optogenetic-imaging and electrophysiology experiments to obtain a deeper understanding of how networks maintain and adapt their performance in the intact and the neurodegenerative brain. Moreover, we will manipulate neural networks to improve and potentially restore network performance in vivo, in vitro, and in silico.

For the modeling part of the project, we are inviting a PhD candidate with a background in Computational Neuroscience, Physics, Computer Science or related fields. The research will be conducted at the Institute of Neuroscience and Medicine (INM-6), JĆ¼lich Research Centre, JĆ¼lich, Germany (www.csn.fz-juelich.de). We offer a position in a creative and international team, themes ranging from computational neuroscience to simulation technology. The JĆ¼lich Research Centre is one of the largest research centers in Germany, with best scientific equipment worldwide, on a green campus, near the cultural centers Kƶln, DĆ¼sseldorf und Aachen. The PhD position is available for 3 years, starting as soon as possible.

Applications, including a motivation letter, a CV, copies of university certificates, and one letter of reference should be sent as a single PDF email attachment (max. 10MB) latest until December 1st, 2013, to

Dr. Tom Tetzlaff (t.tetzlaff@fz-juelich.de) and
Prof. Dr. Sonja GrĆ¼n (s.gruen@fz-juelich.de)

Inst. of Neuroscience and Medicine (INM-6) &
Inst. for Advanced Simulation (IAS-6)
JĆ¼lich Research Centre and JARA
JĆ¼lich, Germany
www.csn.fz-juelich.de



--         Martina Reske, Ph.D.  Scientific Coordinator  Computational and Systems Neuroscience  Institute of Neuroscience and Medicine (INM-6)  Forschungszentrum Juelich  Leo-Brandt-Strasse  52425 Juelich  Germany  Tel. +49.2461.611916  Fax. +49.2461.619460


------------------------------------------------------------------------------------------------
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Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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Wednesday, October 23, 2013

[Comp-neuro] SAN 2014, Utrecht, NL: Early Bird Fee ends Friday 1 November


Please note that the discounted early bird registration last until November 1st 2013 and the deadline for abstracts is December 1st 2013.
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2014 SAN / NIHC Conference
Dear colleague,

We would like to update you about the SAN2014 Meeting. In our previous e-mail we have introduced the highlights and the key speakers of the conference. In recent weeks the confirmed program has been considerably extended (see below). 
 
The early bird registration fee expires Friday, 1 November. Register now underhttp://applied-neuroscience.org/index.php/san2014/online-registration.
 
Keynote speakers
Niels Birbaumer, John Gruzelier, Katya Rubia, Pascal Fries, Jeff Daskalakis, Thomas Schlaepfer

Invited speakers
Christian Cajochen, Herbert Bauer, Anne Roefs, Olga Bazanova, Odile van den Heuvel, David Linden, Karin Roelofs

SAN/NIHC Symposia
  • Sleep, circadian rhythmicity and Chronobiology (Eus van Someren)
  • Wakefulness regulation, QEEG and individualized medicine (Christian Sander)
  • Neurofeedback in ADHD (Ute Strehl & Hartmut Heinrich)
  • Food, Brain and Cognition (Anita Jansen)
  • Human enhancement & optimal performance (John Gruzelier)
  • Brain Computer Interfaces (BCI) (Nick Ramsey)
  • Affective Neuroscience (Guillen Fernandez)
  • Neurofeedback and learning theory (Rien Breteler)
  • Social Neuroscience (Jack van Honk)
  • Non-EEG Neurofeedback: fMRI, NIRS (Rainer Goebel)
  • Learning, Education and Neuroscience (Lydia Krabbendam)
  • Traumatic Brain Injury & Blast Injury (Eric Vermetten)
The conference is jointly organized by the Society of Applied Neurosciences (SAN) and the National Initiative Brain and Cognition (NIHC) and is aimed at highlighting a wide range of applications of brain and cognition research. The conference will be held from January 30th to February 2nd, 2014 in the Royal Dutch Jaarbeurs in Utrecht (The Netherlands).
 
On http://applied-neuroscience.org/index.php/san2014/ you can find more information about this conference, e.g registration details and abstract submission details. Please note that the deadline for abstracts is December 1st 2013.
 
We look forward to welcoming you in Utrecht!
 
 
Kind regards,
 
Martijn Arns, Leon Kenemans & John Gruzelier
SAN 2014 Organizing Committee
 
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Our mailing address is:
Nationaal Initiatief Hersenen en Cognitie
Laan van Nieuw Oost Indiƫ 300
The Hague, 93014
Netherlands


telefoon 070 344 09 33 | e-mail: nihc@nwo.nl | web:
 www.hersenenencognitie.nl






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[Comp-neuro] Neuroscience Graduate Group at the University of Pennsylvania

The Neuroscience Graduate Group (NGG) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2014. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and growing community of scholars in this field, including:

Vijay Balasubramanian, Department of Physics
Danielle S Bassett, Department of Bioengineering
David H Brainard, Department of Psychology
Maja Bucan, Department of Genetics
Gregory C Carlson, Department of Psychiatry
Alice S Chen-Plotkin, Department of Neurology
Brian Chow, Department of Bioengineering
Yale E Cohen, Department of Otorhinolaryngology
Diego Contreras, Department of Neuroscience
Christopher M Fang-Yen, Department of Bioengineering
Maria Neimark Geffen, Department of Otorhinolaryngology
Joshua I Gold, Department of Neuroscience
John B Hogenesch, Department of Pharmacology
Joseph W Kable, Department of Psychology
Michael J Kahana, Department of Psychology
Max Kelz, Department of Anesthesiology
Brian Litt, Departments of Neurology and Bioengineering
Joel D Mainland, Department of Neuroscience
Javier F Medina, Department of Psychology
Nicole C Rust, Department of Psychology
Robert G Smith, Department of Neuroscience
Alan A Stocker, Department of Psychology

Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups.

The application deadline for the NGG is December 2, 2013. For more details please see our website:

-----
Joshua Gold
University of Pennsylvania
Department of Neuroscience
116 Johnson Pavilion
3610 Hamilton Walk
Philadelphia, PA 19104-6074

office phone: 215-746-0028
lab phone: 215-746-0168



[Comp-neuro] PhD program in Neuroscience at George Mason University.

Applicants with a theoretical/quantitative background particularly welcome!

Deadline: January 4, 2014 for Fall 2014

We are seeking highly motivated and creative students for the Interdisciplinary PhD program in Neuroscience at George Mason University. This PhD program offers students the opportunity to apply their skills to challenging problems in brain research, while working with faculty with primary appointments in physics, molecular neuroscience, cognitive psychology, and bioinformatics / computational biology. The Theoretical and Computational track within the Neuroscience PhD program aims to train the next generation of neuroscientists with the broad range of computational and analytical skills that are essential to understand the organization and function of complex neural systems.  Research approaches of the faculty range from the subcellular and molecular level to the systems and behavioral level.  Some of the areas that students will contribute to include: Molecular profiling of drug effects in the brain, cellular signaling underlying memory, the relationship between dendritic morphology and neuronal activity, nonlinear dynamics of neurons and networks of neurons, and fMRI investigations of reasoning, attention and human performance. 
The curriculum is research intensive, and electives allows students to concentrate on computational and  theoretical aspects of neuroscience, or alternatively experimental aspects.

Applications should be submitted by January 4 for Fall admission. The deadline is December 15 for degree holders from non-US institutions.  Financial assistance is available at competitive levels through graduate research assistantships to outstanding candidates.

For more information, see
http://neuroscience.gmu.edu/programs/sc-phd-neur/

Kim Avrama Blackwell
Director, Interdisciplinary Neuroscience PhD Program
Professor, Molecular Neuroscience Department
Krasnow Institute for Advanced Studies
George Mason University

[Comp-neuro] CfP: Special Issue on "Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence"

Please accept our apologies if you receive multiple copies of this CFP!


================================================================================
*CALL FOR PAPERS*
********************************************************************************

Robotics and Autonomous Systems Journal

Special Issue on
Emerging Spatial Competences:
From Machine Perception to Sensorimotor Intelligence

================================================================================
*IMPORTANT DATES*
- January 31, 2014: Paper submission deadline
- March 31, 2014: Notification of paper acceptance
- April 30, 2014: Camera ready paper submission
- Late Spring 2014: Expected publication date


================================================================================
*AIMS AND OBJECTIVES*

Following the recent evolution of robotics and AI in different fields of
application, the increasing complexity of the *actions *that an artificial
agent needs to perform, is directly dependent on the complexity of the
*sensory information * that it can acquire and *interpret*, i.e. *perceive*.

>From this point of view, an efficient and internal representation of the
sensory information is at the base of a robot to develop a *human-like
capability *of interaction with the surrounding environment. Particularly,
in the space at a *reachable distance*, not only visual and auditory, but
also tactile and proprioceptive information rise to be relevant to gain a
comprehensive spatial cognition. This information, coming from different senses,
can be in principle integrated and used to experience an awareness of the
environment both to actively interact with it, and to calibrate the
interaction itself. Besides, the early sensory and sensorimotor
mechanisms, that at a first glance may appear simple processes, are
grounded on highly structured and complex algorithms that are far from
being understood and modeled. By exploiting an early synergy between *sensing
modules* and *motor control*,
the loop between action and perception comes to be not just closed at system
level, but shortened at an inner one. This would allow not only the
emergence of *spatial competences* but also their *continuous adaptation* to
changes in the environment or in the body, which could modify its interactions
with the world.

The aim of this special issue is to survey a state of the art of
methodologies, concepts, algorithms and techniques that would serve as bricks
on which to build and develop artificial agents with such a spatial
competence; perceptual and cognitive understanding of space should emerge from
sensorimotor exercise.

The *action-perception loop* has never been so close!


================================================================================
*PAPER SUBMISSION*
We invite original contributions that provide novel solutions to address the
relevant topics including but not limited to:
- Theoretical or practical aspects of machine sensing (for computer
vision, robot audition, artificial touch, etc.)
- Multisensory data fusion, processing, learning and integration
- Computational neural modeling
- Embodied robotics: perception, cognition, and behaviors
- Machine learning for sensorimotor control and intelligence
- Neural networks: models, theories, learning algorithms and applications
- Engineering application of sensorimotor intelligence to pattern
recognition, computer vision, speech recognition, human-robot
interactions.

As a follow-up of the IJCNN 2013 special session, we invite in particular the
special session participants to submit profoundly extended versions of
their conference submission to go through a new peer review process,
together with contributions not published in the conference proceedings.

Papers should be typeset according to the format instructions for the
Robotics and Autonomous Systems Journal, available on the Elsevier web site
(http://www.elsevier.com/journals/robotics-and-autonomous-systems/0921-8890/guide-for-authors).


================================================================================
*GUEST EDITORS*

_Agostino Gibaldi_, agostino.gibaldi@unige.it
Department of Informatics, Bioengineering, Robotics and System Engineering
University of Genoa, Italy
Advanced Research Center on Electronic Systems (ARCES)
University of Bologna, Italy

_Silvio P. Sabatini_, silvio.sabatini@unige.it
Department of Informatics, Bioengineering, Robotics and System Engineering
University of Genoa, Italy

_Sylvain Argentieri_, sylvain.argentieri@upmc.fr
Institute for Intelligent Systems and Robotics (ISIR)
Université Pierre et Marie Curie, Paris, France

_Zhengping Ji_, jizhengp@gmail.com
Advanced Image Research Laboratory (AIRL)
Samsung, Pasadena, CA, U.S.A
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