Neural Computation - Contents -- Volume 25, Number 7 - July 1, 2013
Available online for download now:
http://www.mitpressjournals.org/toc/neco/25/7
Review
Learning Quadratic Receptive Fields From Neural Responses to Natural Stimuli
Gasper Tkacik, Kanaka Rajan, and Olivier Marre
Article
Design and Analysis of Closed-loop Decoder Adaptation Algorithms for
Brain-machine Interfaces
Jose Carmena, Siddharth Dangi, Amy Orsborn, and Helene Moorman
Letters
Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits
Alberto Bernacchia, Xiao-Jing Wang
Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks
Natasha Cayco Gajic, Eric T. Shea-Brown
The Role of the Extracellular Conductivity Profiles in the Compartmental Models
for Neurons: Particulars for Layer 5 Pyramidal Cells
Jorge Riera, Kai Wang, Herve Enjieu-Kadji, and Ryuta Kawashima
A Calcium-based Simple Model of Multiple Spike Interactions in
Spike-timing Dependent Plasticity
Takumi Uramoto, Hiroyuki Torikai
Identifying Functional Bases for Multidimensional Neural Computations
Tatyana Sharpee, Joel Kaardal, Jeffrey Fitzgerald, and Michael J. Berry II
Combinatorial Neural Codes From a Mathematical Coding Theory Perspective
Carina Curto, Vladimir Itskov, Katherine Morrison, Zachary Roth, and Judy L Walker
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation
Nima Reyhani
------------
ON-LINE -- http://www.mitpressjournals.org/neuralcomp
SUBSCRIPTIONS - 2013 - VOLUME 25 - 12 ISSUES
USA Others Electronic Only
Student/Retired $70 $193 $65
Individual $124 $187 $115
Institution $1,035 $1,098 $926
Canada: Add 5% GST
MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders@mit.edu
------------
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
Monday, June 3, 2013
[Comp-neuro] post-doc positions in selectionist neural dynamics
Two 24 month post-doc positions are available in the Centre for Computational Neuroscience and Robotics, University of Sussex.2 One is in computational neuroscience and one in neurophysiology, to work on an interdisciplinary EU FP7 FET project (INSIGHT) on Darwinian and selectionist neural dynamics. INSIGHT is an exciting multi-disciplinary project with the following partners: Parmenides Foundation (Prof. Eors Szathmary), QMUL (Dr. Chrisantha Fernando), EPFL (Prof. Dario Floreano), SONY/Barcelona (Prof. Luc Steels), and Sussex (Prof. Phil Husbands, Dr. Kevin Staras). For background see the following Frontiers in Comp. Neurosci. paper: http://www.frontiersin.org/Journal/Abstract.aspx?ART_DOI=10.3389/fncom.2012.00024&name=computational_neuroscience
post-doc 1: computational neuroscience
application process and further details: http://www.sussex.ac.uk/aboutus/jobs/161
The post will involve realistic simulations of neuronal networks in order to explore the kinds of replication of information that can take place in the nervous system. The research will involve collaboration with an electrophysiology post-doc who will be looking for empirical evidence of such mechanisms. Insights from this work will be used to inform research at partner institutions on the design of cognitive architectures for robotics.
post-doc 2: neurophysiology
application process and further details: http://www.sussex.ac.uk/aboutus/jobs/162
The post will involve electrophysiology/imaging experiments on neural network cultures using a multi-electrode array system and/or imaging rig. Experiments will examine the influences of imposed stimulation patterns on on-going neuronal activity characteristics. The research will involve collaboration with a computational neuroscience research fellow (post-doc 1 above).
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
post-doc 1: computational neuroscience
application process and further details: http://www.sussex.ac.uk/aboutus/jobs/161
The post will involve realistic simulations of neuronal networks in order to explore the kinds of replication of information that can take place in the nervous system. The research will involve collaboration with an electrophysiology post-doc who will be looking for empirical evidence of such mechanisms. Insights from this work will be used to inform research at partner institutions on the design of cognitive architectures for robotics.
post-doc 2: neurophysiology
application process and further details: http://www.sussex.ac.uk/aboutus/jobs/162
The post will involve electrophysiology/imaging experiments on neural network cultures using a multi-electrode array system and/or imaging rig. Experiments will examine the influences of imposed stimulation patterns on on-going neuronal activity characteristics. The research will involve collaboration with a computational neuroscience research fellow (post-doc 1 above).
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
[Comp-neuro] Frontiers in Neural Circuits Research Topic
Frontiers in Neural Circuits Research Topic
Towards an integrated approach to measurement, analysis and modeling of cortical networks
Topic Editors:
A. Ravishankar Rao, IBM Research, USA
Guillermo A. Cecchi, IBM Watson Research Center, USA
Ehud Kaplan, Mt. Sinai School of Medicine, NYC, USA
Recent technological advances have led to an unprecedented increase in the volume and detail of neuroscientific data, creating significant challenges in their processing and interpretation. We tackle this challenge via a network-centric approach, which matches the physical structure of the brain.
Progress is essential on three major fronts:
1. Measurement of neural activity
2. Estimation of network structures from this activity, and their analysis
3. Modeling network function, leading to theoretical understanding.
We emphasize that these three fronts are interdependent but must evolve synergestically. The model and theoretical understanding needs to be grounded in constraints produced by the measurement process. Insights derived from modeling can be used to drive novel experiments and measurement techniques.
Suggested topics include, but are not limited to:
1. Methodologies for network model validation.
2. Interesting emergent properties that may arise from the network, such as synchrony.
3. Multi-scale modeling that bridges gaps between the single neuron level and behavior at higher level.
4. Applications of cortical network modeling to understand disease function.
For further details, please refer to http://www.frontiersin.org/neural_circuits/researchtopics/Towards_an_integrated_approach/1717
Abstract Submission: June 15, 2013
Full Article Submission: October 1, 2013
Further information: ravirao at us.ibm.com
Towards an integrated approach to measurement, analysis and modeling of cortical networks
Topic Editors:
A. Ravishankar Rao, IBM Research, USA
Guillermo A. Cecchi, IBM Watson Research Center, USA
Ehud Kaplan, Mt. Sinai School of Medicine, NYC, USA
Recent technological advances have led to an unprecedented increase in the volume and detail of neuroscientific data, creating significant challenges in their processing and interpretation. We tackle this challenge via a network-centric approach, which matches the physical structure of the brain.
Progress is essential on three major fronts:
1. Measurement of neural activity
2. Estimation of network structures from this activity, and their analysis
3. Modeling network function, leading to theoretical understanding.
We emphasize that these three fronts are interdependent but must evolve synergestically. The model and theoretical understanding needs to be grounded in constraints produced by the measurement process. Insights derived from modeling can be used to drive novel experiments and measurement techniques.
Suggested topics include, but are not limited to:
1. Methodologies for network model validation.
2. Interesting emergent properties that may arise from the network, such as synchrony.
3. Multi-scale modeling that bridges gaps between the single neuron level and behavior at higher level.
4. Applications of cortical network modeling to understand disease function.
For further details, please refer to http://www.frontiersin.org/neural_circuits/researchtopics/Towards_an_integrated_approach/1717
Abstract Submission: June 15, 2013
Full Article Submission: October 1, 2013
Further information: ravirao at us.ibm.com
[Comp-neuro] Release of NEST 2.2.2
Dear colleagues,
We are very happy to announce the release of NEST 2.2.2!
NEST is a fast and efficient simulator for networks of spiking neurons
developed by NEST Initiative, distributed under the terms of the GNU
General Public License version 2 (or later) and can be downloaded from
http://www.nest-initiative.org/index.php/Software:Download
Additionally, we make available Ubuntu-based live media in both ISO and
OVA formats, suitable, for example, for importing into VirtualBox, or
burning to a DVD. NEST, NEURON, Brian, PyNN and other software comes
pre-installed, which is useful for trying out NEST without installing it
on your computer, especially for Windows and Mac OS X users.
NEST 2.2.2 is primarily a bugfix release, resolving bugs in various
components of NEST 2.2.1 and featuring several important improvements,
such as new and updated models, as well as performance enhancements.
Release notes for NEST 2.2.2
----------------------------
* New models and devices:
- `iaf_psc_alpha_multisynapse`
- `iaf_psc_exp_multisynapse`
- `mcculloch_pitts_neuron`
- `ginzburg_neuron`
- `spin_detector`
- `sinusoidal_gamma_generator`
* Updated models and devices:
- `smp_generator` is replaced by `sinusoidal_poisson_generator`, which
sends an '''individual''' spike train to each of its targets by default;
be wary when updating your code!
In order to replicate the old behavior of the `smp_generator` (all
targets receive the same spike train), set `/individual_spike_trains` to
`false` on the `sinusoidal_poisson_generator` model before creating a
generator node.
- `iaf_psc_alpha`: bugfixes
- `stdp_dopamine_synapse`: bugfixes
* PyNEST: fixes to the `DataConnect()` interface
* Topology:
- more efficient `GetTargetNodes()` implementation
- lognormal distribution for parameter values
* Various bugfixes to the kernel, SLI, build system and other areas
As always, please use the NEST user mailing list for posting support
requests and bug reports.
Happy simulating!
Beautiful greetings on behalf of the NEST Initiative,
--
Dipl.-Phys. Yury V. Zaytsev
Simulation Lab Neuroscience
Jülich Supercomputing Centre
Institute for Advanced Simulation
Jülich Research Center
http://www.fz-juelich.de/ias/jsc
Office: +49 2461 61-9466
Fax # : +49 2461 61-9460
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
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
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
We are very happy to announce the release of NEST 2.2.2!
NEST is a fast and efficient simulator for networks of spiking neurons
developed by NEST Initiative, distributed under the terms of the GNU
General Public License version 2 (or later) and can be downloaded from
http://www.nest-initiative.org/index.php/Software:Download
Additionally, we make available Ubuntu-based live media in both ISO and
OVA formats, suitable, for example, for importing into VirtualBox, or
burning to a DVD. NEST, NEURON, Brian, PyNN and other software comes
pre-installed, which is useful for trying out NEST without installing it
on your computer, especially for Windows and Mac OS X users.
NEST 2.2.2 is primarily a bugfix release, resolving bugs in various
components of NEST 2.2.1 and featuring several important improvements,
such as new and updated models, as well as performance enhancements.
Release notes for NEST 2.2.2
----------------------------
* New models and devices:
- `iaf_psc_alpha_multisynapse`
- `iaf_psc_exp_multisynapse`
- `mcculloch_pitts_neuron`
- `ginzburg_neuron`
- `spin_detector`
- `sinusoidal_gamma_generator`
* Updated models and devices:
- `smp_generator` is replaced by `sinusoidal_poisson_generator`, which
sends an '''individual''' spike train to each of its targets by default;
be wary when updating your code!
In order to replicate the old behavior of the `smp_generator` (all
targets receive the same spike train), set `/individual_spike_trains` to
`false` on the `sinusoidal_poisson_generator` model before creating a
generator node.
- `iaf_psc_alpha`: bugfixes
- `stdp_dopamine_synapse`: bugfixes
* PyNEST: fixes to the `DataConnect()` interface
* Topology:
- more efficient `GetTargetNodes()` implementation
- lognormal distribution for parameter values
* Various bugfixes to the kernel, SLI, build system and other areas
As always, please use the NEST user mailing list for posting support
requests and bug reports.
Happy simulating!
Beautiful greetings on behalf of the NEST Initiative,
--
Dipl.-Phys. Yury V. Zaytsev
Simulation Lab Neuroscience
Jülich Supercomputing Centre
Institute for Advanced Simulation
Jülich Research Center
http://www.fz-juelich.de/ias/jsc
Office: +49 2461 61-9466
Fax # : +49 2461 61-9460
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
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
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
[Comp-neuro] 2 PhD + 2 PostDoc in Computational Cognitive Neuroimaging, Uni of Birmingham, UK
2 PhD and 2 PostDoc positions in Computational Cognitive Neuroimaging
- Multisensory integration and learning;
University of Birmingham, UK
In our natural dynamic environment the senses are constantly bombarded with many different signals. How does the human brain integrate information from multiple senses to form a coherent percept and interact effectively with our environment?
- Multisensory integration and learning;
University of Birmingham, UK
In our natural dynamic environment the senses are constantly bombarded with many different signals. How does the human brain integrate information from multiple senses to form a coherent percept and interact effectively with our environment?
To study the neural mechanisms underlying multisensory integration and learning in humans, we combine psychophysics and functional imaging (fMRI, EEG/MEG & combined TMS-fMRI). Effective connectivity analyses (e.g. Dynamic Causal Modelling) are used to investigate how information is integrated from the senses through distinct interactions amongst brain regions. To provide a more informed perspective on the computational mechanisms, we combine functional imaging with models of Bayesian inference and learning.
The Computational Cognitive Neuroimaging Group (Prof Uta Noppeney) is seeking 2 enthusiastic PhD and 2 PostDoc candidates with a strong quantitative background. Applicants should have a background in neuroscience, psychology, computer science, physics or related areas. Prior experience in functional imaging, MatLab, data analysis and/or machine learning would be an advantage.
The Computational Cognitive Neuroimaging lab is based at the Computational Neuroscience and Cognitive Robotics Centre and the Department of Psychology of the University of Birmingham, UK. The centre provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 3rd in the UK research assessment exercise.
Applications will be considered until the positions are filled. Starting dates are flexible. For further information, please contact u.nopppeney@bham.ac.uk and see
http://www.birmingham.ac.uk/research/activity/cncr/index.aspx
http://www.birmingham.ac.uk/schools/psychology/index.aspx
http://www.birmingham.ac.uk/research/activity/behavioural-neuro/comp-cog-neuro/index.aspx
For application to the PostDoc positions, please send applications to
http://www.jobs.ac.uk/job/AGQ331/research-fellow-multisensory-integration-and-learning/
[Comp-neuro] Call for Papers: Neurotechnix 2013: Special Session on Brain-computer Interfaces and Brain Stimulation for Neurorehabilitation
Dear colleagues,
we are pleased to announce the Special Session
as part of the
held from 18-20th September 2013 in Vilamoura, Portugal.
Important dates:
Complete Paper/Extended Abstract Submission: June 17, 2013
Authors Notification: July 4, 2013
Final Submission and Registration: July 18, 2013
--------------------------------------------------
Scope of the session:
Brain-computer interfaces (BCIs) and brain stimulation are unique methods for neurorehabilitation because they allow a direct interaction with the patient's brain. BCIs enable biofeedback approaches for paralyzed patients, while brain stimulation techniques modulate the activity of neuronal circuits to support brain reorganization. However, towards their application as reliable treatment options, important challenges such as a deeper understanding of neural (re-)organization, the design of suitable feedback and stimulation paradigms, the adaptation to individual patients and the transfer from the laboratory to clinical settings need to be faced.
We invite neuroscientists, engineers and clinicians to submit abstracts and papers discussing recent developments and future trends in the fields of neurostimulation and BCIs with a focus on their application towards the rehabilitation of patients.
Topics:
- Brain-computer interfaces
- Decoding of brain activity
- Neurofeedback
- Brain stimulation
- Closed-loop stimulation systems
- Chronic pain
- Stroke, amyotrophic lateral sclerosis and other neurodegenerative diseases
--------------------------------------------------
Publication:
All accepted Extended Abstracts will be published in the Book of Abstracts of the congress and on CD-ROM support, without ISBN. All accepted Complete Papers (full and short) will be published in the Congress Proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef. The Congress Proceedings will be submitted to appropriate indexes for indexation.
--------------------------------------------------
For more information, please visit the website of the special session:
http://www.neurotechnix.org/BrainRehab.aspx
and the conference website:
http://www.neurotechnix.org/Home.aspx
--------------------------------------------------
We are looking forward to meeting you at the conference!
Organizers:
Martin Bogdan (University of Leipzig, Germany)
Ander Ramos Murguialday (University of Tübingen, Germany)
Armin Walter (University of Tübingen, Germany)
Francisco Perales (University of the Balearic Island, Spain)
we are pleased to announce the Special Session
Brain-computer Interfaces and Brain Stimulation for Neurorehabilitation
(BrainRehab 2013)
(BrainRehab 2013)
as part of the
Neurotechnix 2013
International Congress on Neurotechnology, Electronics and Informatics
International Congress on Neurotechnology, Electronics and Informatics
held from 18-20th September 2013 in Vilamoura, Portugal.
Important dates:
Complete Paper/Extended Abstract Submission: June 17, 2013
Authors Notification: July 4, 2013
Final Submission and Registration: July 18, 2013
--------------------------------------------------
Scope of the session:
Brain-computer interfaces (BCIs) and brain stimulation are unique methods for neurorehabilitation because they allow a direct interaction with the patient's brain. BCIs enable biofeedback approaches for paralyzed patients, while brain stimulation techniques modulate the activity of neuronal circuits to support brain reorganization. However, towards their application as reliable treatment options, important challenges such as a deeper understanding of neural (re-)organization, the design of suitable feedback and stimulation paradigms, the adaptation to individual patients and the transfer from the laboratory to clinical settings need to be faced.
We invite neuroscientists, engineers and clinicians to submit abstracts and papers discussing recent developments and future trends in the fields of neurostimulation and BCIs with a focus on their application towards the rehabilitation of patients.
Topics:
- Brain-computer interfaces
- Decoding of brain activity
- Neurofeedback
- Brain stimulation
- Closed-loop stimulation systems
- Chronic pain
- Stroke, amyotrophic lateral sclerosis and other neurodegenerative diseases
--------------------------------------------------
Publication:
All accepted Extended Abstracts will be published in the Book of Abstracts of the congress and on CD-ROM support, without ISBN. All accepted Complete Papers (full and short) will be published in the Congress Proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef. The Congress Proceedings will be submitted to appropriate indexes for indexation.
--------------------------------------------------
For more information, please visit the website of the special session:
http://www.neurotechnix.org/BrainRehab.aspx
and the conference website:
http://www.neurotechnix.org/Home.aspx
--------------------------------------------------
We are looking forward to meeting you at the conference!
Organizers:
Martin Bogdan (University of Leipzig, Germany)
Ander Ramos Murguialday (University of Tübingen, Germany)
Armin Walter (University of Tübingen, Germany)
Francisco Perales (University of the Balearic Island, Spain)
-- Armin Walter Eberhard Karls Universität Tübingen Faculty of Science Department of Computer Engineering Sand 14 (Room C206) 72076 Tübingen, Germany Phone: +49 7071 29-70492 Fax: +49 7071 29-5062 armin.walter@uni-tuebingen.de
Saturday, June 1, 2013
[Comp-neuro] Summer School AACIMP late registration deadline is extended!
Please forward this letter to everyone who might be interested.
VIII Summer School "Achievements and Applications of Contemporary Informatics, Mathematics and Physics" (AACIMP - 2013)
August 1- 17, 2013, Kyiv (Ukraine), website: http://summerschool.ssa.org.ua.
Late registration deadline is extended till June 20.
Registration is still open for two streams: Neuroscience and Operational Research.
Neuroscience (NS) stream - gives an overview of the field for students, postgraduates and young scientists mainly with physical and mathematical background and aims to give initial knowledge and induce interest to Neuroscience. The curriculum includes broad range of topics from subcellular level to cognition and social behaviour considered mainly from computational point of view. It provides all required information to understand biological bases of modelled processes.
Operational Research (OR) stream - introduces methods of mathematical analysis that allow better solutions dealing with the complex challenges from the real life of businesses and governments. Operational Research is truly interdisciplinary it unites diverse subjects such as financial models, transportation optimization and many others to provide better understanding of the world and improve the quality of decisions made. There are no requirements on preliminary experience of participants in Operational Research, but a good mathematical background would improve the personal learning outcome of the course.
To participate in the Summer School, a student has to fill in an application form on the AACIMP-2013 website (summerschool.ssa.org.ua). The decision on the acceptance is made by the Organizing Committee based on student's skills, range of interests and motivation.
DAAD scholarships for students that are currently studying in Germany (covering all costs). More information about scholarships can be found on the DAAD Go East program website http://goeast.daad.de/.
You can find all the details of registration, information about courses, terms of participation, scholarships and payment at the AACIMP-2013 website: http://summerschool.ssa.org.ua.
Sorry for the multiple copies of this message.
Best regards,
Organizing Committee
Summer School AACIMP-2013
37, Peremohy avenue, building 1, room 299(15)
03056, Ukraine, Kyiv, phone/fax: +38 044 454 9243
e-mail: summerschool@ssa.org.ua
Subscribe to:
Posts (Atom)