[Comp-neuro] Open Postdoc positions at Bernstein Center Freiburg, Germany

Dear Computational Neuroscience Community,

 

Please find below our job posting for Postdoc positions at the Bernstein Center Freiburg (BCF), Germany.

 

Best regards

Birgit Ahrens

 

 

 

Postdoc Position on Structure and Dynamics of Cortical Networks in the Computational Neuroscience lab of Prof. Stefan Rotter

 

Our goal is to understand the interplay between network topology and spiking activity dynamics in the neocortex and other parts of the mammalian brain, and to explore the possibilities and constraints of dynamical brain function. Our main tools are mathematical/numerical network modeling and statistical data analysis, often used side by side within the framework of stochastic point processes and statistical graph theory. In collaboration with physiologists and anatomists, we seek to develop new perspectives for the model-based analysis and interpretation of neuronal signals.

We are a young group of researchers from mathematics, physics, computer science and biology and invite applications to join the lab for a 2-3 year PostDoc project, and to enter the PostDoc program in Computational Neuroscience at the Bernstein Center Freiburg.

The Bernstein Center Freiburg performs research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs         

 

 

Postdoc position in Non-Clinical Epilepsy Research in the Biomicrotechnology lab of Prof. Ulrich Egert

 

We are currently offering a Postdoc position (2 years) in the Laboratory for Biomicrotechnology (http://www.bcf.uni-freiburg.de/people/details/egert) at the University of Freiburg.

The project investigates mechanisms underlying mesiotemporal lobe epilepsy from the perspective of the dysfunction of interaction between subnetworks in the hippocampal formation (Froriep et al. 2012, Epilepsia). We aim to use targeted stimulation to reduce the circuit's susceptibility for seizures.

It is essential that you have a background in neuroscience, ideally in experimental neurophysiology in vivo as well as a PhD degree. You should further be competent in data analysis and have an affinity for the network perspective.

The project is part of the Cluster of Excellence "BrainLinks-BrainTools'' (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neurophysiology, computational neuroscience and neurotechnology.

Further details on: www.bcf.uni-freiburg.de/jobs         

 

 

Postdoc position in Neurotechnology & Computational Neuroscience in the lab of Prof. Stefan Rotter

 

We are looking for a postdoctoral researcher to join an international team of scientists and engineers in the NeuroSeeker project (see http://www.neuroseeker.eu/). The goal of the project is to develop and apply new methods and software to improve the yield of novel high-resolution probes for recording activity from many neurons simultaneously.

Candidates should hold a PhD in physics, applied mathematics, computer science or biology, with proven experience in software engineering and user-oriented application programming (C++ and/or Python). Specific knowledge and scientific publications in the fields of "statistical analysis of neuronal data" and/or "numerical methods and data structures in the neurosciences" are a requirement.

Funding is already available, starting date is negotiable.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs         

 

 

 

-- Dr. Birgit Ahrens --
Coordinator for the Teaching & Training Programs
Bernstein Center Freiburg
Albert-Ludwig University of Freiburg
Hansastr. 9a
D - 79104 Freiburg
Germany

Phone: +49 (0) 761 203-9575
Fax: +49 (0) 761 203-9559

Email: birgit.ahrens@bcf.uni-freiburg.de
Web: www.bcf.uni-freiburg.de

 

[Comp-neuro] Open PhD positions at Bernstein Center Freiburg, Germany

Dear Computational Neuroscience Community,

 

Please find below our job posting for PhD positions at the Bernstein Center Freiburg (BCF), Germany.

 

Best regards

Birgit Ahrens

 

 

 

PhD position in Neurotechnology and Computational Neuroscience

 

A PhD position is available in the lab of Carsten Mehring at the Bernstein Center of the University of Freiburg, Germany.

This is a new lab, established to study sensorimotor behavior and brain-machine interfaces. Research topics include: motor adaptation and motor skill learning; brain-machine and machine-brain interfaces; neuronal dynamics; decision making. The primary research tools are behavioural experiments (using virtual reality), electrophysiology and neuroimaging (EEG, ECoG, fNIRS), transcranial electrical stimulation (tDCS&tACS), advanced neural signal analysis and computational modeling.

We invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program “iCoNeT” at the Bernstein Center Freiburg. The project is financed by a fellowship of the DAAD that can only be awarded to non-German applicants that have not been staying in Germany for more than 15 months at the time of their application.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application.

Please apply using our online form at https://yoda.bcf.uni-freiburg.de/ and indicate "Mehring" as preferred project. The deadline for applications is February 28, 2014.

Further details on: www.bcf.uni-freiburg.de/jobs

 

 

PhD position in Experimental Epilepsy Research

 

The goal Prof. Carola Haas’ group of researchers form medicine and biology is to understand the interplay between molecular, cellular and functional determinants leading to focal epilepsies in the mammalian brain. Our main tools are in vivo animal models and in vitro approaches to study the contribution of new neurons to epileptogenesis in the dentate gyrus network.

We invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program “iCoNeT” at the Bernstein Center Freiburg. The project is financed by a fellowship of the DAAD that can only be awarded to non-German applicants that have not been staying in Germany for more than 15 months at the time of their application.

The successful applicant has prior training in neuroscience and/or experience with molecular biological techniques to trace cellular progeny. Good knowledge of the English language, high motivation for independent work, but also ability to work in an international team are mandatory.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application.

Please apply using our online form at https://yoda.bcf.uni-freiburg.de/ and indicate "Haas" as preferred project. The deadline for applications is February 28, 2014.

Further details on: www.bcf.uni-freiburg.de/jobs

 

 

PhD position on Structure and Dynamics of Cortical Networks in the Computational Neuroscience lab of Prof. Stefan Rotter

 

Our goal is to understand the interplay between network topology and spiking activity dynamics in the neocortex and other parts of the mammalian brain, and to explore the possibilities and constraints of dynamical brain function. Our main tools are mathematical/numerical network modeling and statistical data analysis, often used side by side within the framework of stochastic point processes and statistical graph theory. In collaboration with physiologists and anatomists, we seek to develop new perspectives for the model-based analysis and interpretation of neuronal signals.

We are a young group of researchers from mathematics, physics, computer science and biology and invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program in Computational Neuroscience at the Bernstein Center Freiburg.

The Bernstein Center Freiburg performs research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs

 

 

PhD position on Closed-Loop Control of Neuronal Networks Using Machine-Learning Techniques in the Biomicrotechnology lab of Prof. Ulrich Egert

 

We are currently offering a PhD position for a candidate with a background in experimental network neuroscience.

The project investigates the opportunities of machine learning in order to develop controllers that interact with neuronal networks. The project is part of the Cluster of Excellence "BrainLinks-BrainTools'' (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neuroscience and engineering.

Our aim is to identify the fundamental principles and boundary conditions relevant to control network activity with machine learning algorithms and through various points of intervention. We use cultured neuronal networks on microelectrode arrays as a model system to test out concepts of network control. Eventually these concepts will be expanded and adapted to in vivo applications to improve the efficacy of neurotechnical implants, such as in deep brain stimulation.

It is essential that the candidate has a background in neuroscience, ideally in experimental neurophysiology, an MSc degree and a strong interest in network analysis. The international PhD training program of the Bernstein Center Freiburg will help you fill in any knowledge gaps that you may have.

Further details on: www.bcf.uni-freiburg.de/jobs

 

 

PhD position on sensorimotor processing in the basal ganglia

 

A PhD position is available in the new junior research group of Robert Schmidt in the Cluster of Excellence BrainLinks-BrainTools in Freiburg (Germany). We currently assemble a young, ambitious research team to study neural foundations of action selection, initiation and execution at the intersection of computational and experimental neuroscience.

The research project is centered around the analysis of electrophysiological recordings from rats performing behavioral tasks.

Our goal is to gain understanding of basal ganglia processing of sensory- and movement-related information (see e.g. Schmidt et al., 2013. Canceling actions involves a race between basal ganglia pathways. Nat. Neurosci. 16: 1118-1124.). We want to integrate advanced data analysis methods with computational modelling and clinical applications (e.g. for Parkinson's Disease). The project includes close collaborations with computational and experimental groups in Freiburg (e.g. Ad Aertsen and Arvind Kumar at the Bernstein Center Freiburg), and internationally (e.g. Joshua Berke at University of Michigan, USA and Nicolas Mallet at CNRS Bordeaux, France).

The ideal candidate has profound neurobiological knowledge, programming skills (e.g. Matlab or Python), and mathematical expertise. High motivation and interest in neuroscientific research is mandatory. Experience in the analysis of neurophysiological data and computational modelling is a big plus. Applicants with degrees from interdisciplinary programs such as computational neuroscience or cognitive science are highly welcome, but applicants from other disciplines such as biology or physics are also strongly encouraged to apply.

The position is for three years (65% TV-L E13) and is starting as soon as possible.

Please send your CV together with contact details of at least two referees and a scientific research statement (max. 2 pages) as PDF files to basal-ganglia@brainlinks-braintools.uni-freiburg.de.

 

 

 

 

-- Dr. Birgit Ahrens --
Coordinator for the Teaching & Training Programs
Bernstein Center Freiburg
Albert-Ludwig University of Freiburg
Hansastr. 9a
D - 79104 Freiburg
Germany

Phone: +49 (0) 761 203-9575
Fax: +49 (0) 761 203-9559

Email: birgit.ahrens@bcf.uni-freiburg.de
Web: www.bcf.uni-freiburg.de

 

[visionlist] 2nd call 24th Intl Conf. on Artificial Neural Networks (ICANN 2014)

2nd Call for Papers
with travel awards and key notes

===================================================================

ICANN 2014: 24th Annual Conference on Artificial Neural Networks
15 - 19 September 2014, University of Hamburg, Germany
http://icann2014.org/

===================================================================

The International Conference on Artificial Neural Networks (ICANN)
is the annual flagship conference of the European Neural Network
Society (ENNS). In 2014 the University of Hamburg will organize
the 24th ICANN Conference from 15th to 19th September 2014 in
Hamburg, Germany.

KEYNOTE SPEAKERS:

Christopher M. Bishop (Microsoft Research, Cambridge, UK)
Yann LeCun (New York University, NY, USA)
Kevin Gurney (University of Sheffield, Sheffield, UK)
Barbara Hammer (Bielefeld University, Bielefeld, Germany)
Jun Tani (KAIST, Daejeon, Republic of Korea)
Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain)

ORGANIZATION:

General Chair:
Stefan Wermter (Hamburg, Germany)
Program co-Chairs
Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President)
Wlodzislaw Duch (Torun, Poland & Singapore, ENNS Past-President)
Petia Koprinkova-Hristova (Sofia, Bulgaria)
Günther Palm (Ulm, Germany)
Cornelius Weber (Hamburg, Germany)
Timo Honkela (Helsinki, Finland)
Local Organizing Committee Chairs:
Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen
Jirak, Katja Koesters, Erik Strahl

VENUE:

Hamburg is the second-largest city in Germany, home to over
1.8 million people. Situated at the river Elbe, the port of Hamburg
is the second-largest port in Europe. The University of Hamburg is
the largest institution for research and education in the north of
Germany.

The venue of the conference is the ESA building of the University
of Hamburg, situated at Edmund-Siemers-Allee near the city centre
and easily reachable from Dammtor Railway Station. Hamburg Airport
can be reached easily via public transport.

For the accomodation we arranged guaranteed rates for a couple of
hotels in Hamburg for ICANN 2014.

CONFERENCE TOPICS:

ICANN 2014 will feature the main tracks Brain Inspired Computing and
Machine Learning research, with strong cross-disciplinary
interactions and applications. All research fields dealing with
Neural Networks will be present at the conference.
A non-exhaustive list of topics includes:

Brain Inspired Computing: Cognitive models, Computational
Neuroscience, Self-organization, Reinforcement Learning, Neural
Control and Planning, Hybrid Neural-Symbolic Architectures,
Neural Dynamics, Recurrent Networks, Deep Learning.

Machine Learning: Neural Network Theory, Neural Network Models,
Graphical Models, Bayesian Networks, Kernel Methods, Generative
Models, Information Theoretic Learning, Reinforcement Learning,
Relational Learning, Dynamical Models.

Neural Applications for: Intelligent Robotics, Neurorobotics,
Language Processing, Image Processing, Sensor Fusion, Pattern
Recognition, Data Mining, Neural Agents, Brain-Computer
Interaction, Neural Hardware, Evolutionary Neural Networks.

PAPERS:

Papers of maximum 8 pages length will be refereed to international
standards by at least three referees. Accepted papers of contributing
authors will be published in Springer-Verlag Lecture Notes in
Compute Science (LNCS) series. Submission of papers will be online.
More details are available on the conference web site.

DEMONSTRATIONS:

ICANN 2014 will host demonstrations to showcase research and
applications of neural networks. Demonstrations are self-contained,
i.e. independent of any presented talk or poster. For a demonstration
proposal, we request a 1-page description of your demonstration and
its features. Later, you will communicate which resources (space /
duration / projector / internet / etc.) you require. Decisions about
demonstrations will be made within two weeks after submission
deadline. A full conference registration is required for the
demonstration.

We invite you to submit proposals for Demonstrations to:
ICANN2014@informatik.uni-hamburg.de

TRAVEL AWARDS:

As in previous years, the European Neural Network Society (ENNS) will
offer at least five student travel awards of 400 Euro each for students
presenting papers.In addition, the selected students will be able to
register to the conference for free and will become ENNS members
for the next year (2015).

The deadline for sending the Travel Grant application (that includes
a Letter of Interest to the PC chairs, Studentship Proof and detailed CV
of the candidate) is the 14th of April, 2014. The award will be sent to
the student by 28th April and paid during the conference. More details
can be found on the website.

DEADLINES:

Submission of full papers: * 17 February 2014 *
Notification of acceptance: 7 April 2014
Submission of Demonstration proposals: 21 April 2014
Camera-ready paper and registration: 5 May 2014

Conference dates: 15-19 September 2014

CONFERENCE WEBSITE:

http://www.icann2014.org

***********************************************
Professor Dr. Stefan Wermter
Chair of Knowledge Technology
Department of Computer Science
University of Hamburg
Vogt Koelln Str. 30
22527 Hamburg, Germany

http://www.informatik.uni-hamburg.de/~wermter/
http://www.informatik.uni-hamburg.de/WTM/
***********************************************

_______________________________________________
visionlist mailing list
visionlist@visionscience.com
http://visionscience.com/mailman/listinfo/visionlist

[Comp-neuro] 2nd call 24th Intl Conf. on Artificial Neural Networks (ICANN 2014)

2nd Call for Papers
with travel awards and key notes

===================================================================

ICANN 2014: 24th Annual Conference on Artificial Neural Networks
15 - 19 September 2014, University of Hamburg, Germany
http://icann2014.org/

===================================================================

The International Conference on Artificial Neural Networks (ICANN)
is the annual flagship conference of the European Neural Network
Society (ENNS). In 2014 the University of Hamburg will organize
the 24th ICANN Conference from 15th to 19th September 2014 in
Hamburg, Germany.


KEYNOTE SPEAKERS:

Christopher M. Bishop (Microsoft Research, Cambridge, UK)
Yann LeCun (New York University, NY, USA)
Kevin Gurney (University of Sheffield, Sheffield, UK)
Barbara Hammer (Bielefeld University, Bielefeld, Germany)
Jun Tani (KAIST, Daejeon, Republic of Korea)
Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain)


ORGANIZATION:

General Chair:
Stefan Wermter (Hamburg, Germany)
Program co-Chairs
Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President)
Wlodzislaw Duch (Torun, Poland & Singapore, ENNS Past-President)
Petia Koprinkova-Hristova (Sofia, Bulgaria)
Günther Palm (Ulm, Germany)
Cornelius Weber (Hamburg, Germany)
Timo Honkela (Helsinki, Finland)
Local Organizing Committee Chairs:
Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen
Jirak, Katja Koesters, Erik Strahl


VENUE:

Hamburg is the second-largest city in Germany, home to over
1.8 million people. Situated at the river Elbe, the port of Hamburg
is the second-largest port in Europe. The University of Hamburg is
the largest institution for research and education in the north of
Germany.

The venue of the conference is the ESA building of the University
of Hamburg, situated at Edmund-Siemers-Allee near the city centre
and easily reachable from Dammtor Railway Station. Hamburg Airport
can be reached easily via public transport.

For the accomodation we arranged guaranteed rates for a couple of
hotels in Hamburg for ICANN 2014.


CONFERENCE TOPICS:

ICANN 2014 will feature the main tracks Brain Inspired Computing and
Machine Learning research, with strong cross-disciplinary
interactions and applications. All research fields dealing with
Neural Networks will be present at the conference.
A non-exhaustive list of topics includes:

Brain Inspired Computing: Cognitive models, Computational
Neuroscience, Self-organization, Reinforcement Learning, Neural
Control and Planning, Hybrid Neural-Symbolic Architectures,
Neural Dynamics, Recurrent Networks, Deep Learning.

Machine Learning: Neural Network Theory, Neural Network Models,
Graphical Models, Bayesian Networks, Kernel Methods, Generative
Models, Information Theoretic Learning, Reinforcement Learning,
Relational Learning, Dynamical Models.

Neural Applications for: Intelligent Robotics, Neurorobotics,
Language Processing, Image Processing, Sensor Fusion, Pattern
Recognition, Data Mining, Neural Agents, Brain-Computer
Interaction, Neural Hardware, Evolutionary Neural Networks.

PAPERS:

Papers of maximum 8 pages length will be refereed to international
standards by at least three referees. Accepted papers of contributing
authors will be published in Springer-Verlag Lecture Notes in
Compute Science (LNCS) series. Submission of papers will be online.
More details are available on the conference web site.


DEMONSTRATIONS:

ICANN 2014 will host demonstrations to showcase research and
applications of neural networks. Demonstrations are self-contained,
i.e. independent of any presented talk or poster. For a demonstration
proposal, we request a 1-page description of your demonstration and
its features. Later, you will communicate which resources (space /
duration / projector / internet / etc.) you require. Decisions about
demonstrations will be made within two weeks after submission
deadline. A full conference registration is required for the
demonstration.

We invite you to submit proposals for Demonstrations to:
ICANN2014@informatik.uni-hamburg.de


TRAVEL AWARDS:

As in previous years, the European Neural Network Society (ENNS) will
offer at least five student travel awards of 400 Euro each for students
presenting papers.In addition, the selected students will be able to
register to the conference for free and will become ENNS members
for the next year (2015).

The deadline for sending the Travel Grant application (that includes
a Letter of Interest to the PC chairs, Studentship Proof and detailed CV
of the candidate) is the 14th of April, 2014. The award will be sent to
the student by 28th April and paid during the conference. More details
can be found on the website.


DEADLINES:

Submission of full papers: * 17 February 2014 *
Notification of acceptance: 7 April 2014
Submission of Demonstration proposals: 21 April 2014
Camera-ready paper and registration: 5 May 2014

Conference dates: 15-19 September 2014


CONFERENCE WEBSITE:

http://www.icann2014.org


***********************************************
Professor Dr. Stefan Wermter
Chair of Knowledge Technology
Department of Computer Science
University of Hamburg
Vogt Koelln Str. 30
22527 Hamburg, Germany

http://www.informatik.uni-hamburg.de/~wermter/
http://www.informatik.uni-hamburg.de/WTM/
***********************************************



_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro

[Comp-neuro] Cognitive Computation journal (Springer): Table of Contents, Vol.5, No.4 / Dec 2013 Issue

Dear Colleagues: (with advance apologies for any cross-postings)

We are delighted to announce the publication of Volume 5, No.4/Dec
2013 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559

In addition to regular papers (which include an invited paper by
Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled:
Moral Judgment, Human Motivation, and Neural Networks), this Issue
comprises a Special Issue titled: Advanced Cognitive Systems Based on
Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B.
Alonso. (The Guest Editorial is available here:
http://link.springer.com/content/pdf/10.1007%2Fs12559-013-9237-9.pdf )
The individual list of published articles (Table of Contents) for this
Issue can be viewed here (and also at the end of this message,
followed by an overview of the previous Issues/Archive listings):
http://link.springer.com/journal/12559/5/4/page/1

You may also be interested in the journal's Seminal Special Issue (Sep
2013 Issue): In Memory of John G Taylor: A Polymath Scholar, by Guest
Editors: Vassilis Cutsuridis and Amir Hussain (the Guest Editorial is
available here:
http://link.springer.com/content/pdf/10.1007%2Fs12559-013-9226-z.pdf
and full listing of articles can be found at:
http://link.springer.com/journal/12559/5/3/page/1)

A list of the journal's most downloaded articles (which can always be
read for FREE) can be found here:
http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realtime

Other 'Online First' published articles not yet in a print issue can
be viewed here:
http://www.springerlink.com/content/121361/?Content+Status=Accepted

All previous Volumes and Issues of the journal can be viewed here:
http://link.springer.com/journal/volumesAndIssues/12559

=======================================================
NEW: ISI Impact Factor for Cognitive Computation of 0.867 for 2012 (5
year IF: 1.137)
=======================================================
As you will know, Cognitive Computation was selected for coverage in
Thomson Reuter's products and services in 2011. Beginning with V.1
(1) 2009, this publication is now indexed and abstracted in:
♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal
Citation Reports/Science Edition ♦ Current Contents®/Engineering
Computing and Technology ♦ Neuroscience Citation Index® Cognitive
Computation also received its first Impact Factor of
1.0 (Thomson Reuters Journal Citation Reports® 2011) in 2011
0.867(Thomson Reuters Journal Citation Reports® 2011) in 2012

============================================
Reminder: New Cognitive Computation "LinkedIn" Group:
============================================
To further strengthen the bonds amongst the interdisciplinary audience
of Cognitive Computation, we have set-up a "Cognitive Computation
LinkedIn group", which has over 700 members already! We warmly invite
you to join us at: http://www.linkedin.com/groups?gid=3155048

For further information on the journal and to sign up for electronic
"Table of Contents alerts" please visit the Cognitive Computation
homepage: http://www.springer.com/12559 or follow us on Twitter at:
http://twitter.com/CognComput for the latest On-line First Issues.

For any questions with regards to LinkedIn and/or Twitter, please
contact Springer's Publishing Editor: Dr. Martijn Roelandse:
martijn.roelandse@springer.com

Finally, we would like to invite you to submit short or regular papers
describing original research or timely review of important areas - our
aim is to peer review all papers within approximately six-eight weeks
of receipt.

We also welcome relevant high quality proposals for Special Issues -
five are already planned for 2014-15 (for CFPs, see:
http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press
)

With our very best wishes for the New Year to all aspiring readers and
authors of Cognitive Computation,

Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation)
E-mail: ahu@cs.stir.ac.uk (University of Stirling, Scotland, UK)
Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive
Computation) (Imperial College, London, UK)

---------------------------------------------------------------------------------------------------------------
Table of Contents Alert -- Cognitive Computation Vol 5 No 4, Dec 2013
---------------------------------------------------------------------------------------------------------------

Special Issue on Advanced Cognitive Systems Based on Nonlinear Analysis

Carlos M. Travieso & Jesús B. Alonso
http://link.springer.com/article/10.1007/s12559-013-9237-9


Characterizing Neurological Disease from Voice Quality Biomechanical Analysis

Pedro Gómez-Vilda , Victoria Rodellar-Biarge , Víctor Nieto-Lluis ,
Cristina Muñoz-Mulas , Luis Miguel Mazaira-Fernández , Rafael
Martínez-Olalla , Agustín Álvarez-Marquina , Carlos Ramírez-Calvo &
Mario Fernández-Fernández
http://link.springer.com/article/10.1007/s12559-013-9207-2


Auditory-Inspired Morphological Processing of Speech Spectrograms:
Applications in Automatic Speech Recognition and Speech Enhancement

Joyner Cadore , Francisco J. Valverde-Albacete , Ascensión
Gallardo-Antolín & Carmen Peláez-Moreno
http://link.springer.com/article/10.1007/s12559-012-9196-6


Detecting Speech Polarity with High-Order Statistics

Thomas Drugman & Thierry Dutoit
http://link.springer.com/article/10.1007/s12559-012-9167-y


Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words

J. R. Orozco-Arroyave , J. F. Vargas-Bonilla , J. D. Arias-Londoño ,
S. Murillo-Rendón , G. Castellanos-Domínguez & J. F. Garcés
http://link.springer.com/article/10.1007/s12559-012-9166-z


Improving Automatic Detection of Obstructive Sleep Apnea Through
Nonlinear Analysis of Sustained Speech

José Luis Blanco , Luis A. Hernández , Rubén Fernández & Daniel Ramos
http://link.springer.com/article/10.1007/s12559-012-9168-x


Voice Quality Modification Using a Harmonics Plus Noise Model

Àngel Calzada Defez & Joan Claudi Dr Socoró Carrié
http://link.springer.com/article/10.1007/s12559-012-9193-9


A Fast Gradient Approximation for Nonlinear Blind Signal Processing

Jordi Solé-Casals & Cesar F. Caiafa
http://link.springer.com/article/10.1007/s12559-012-9192-x


Improved Convolutive and Under-Determined Blind Audio Source
Separation with MRF Smoothing

Rafał Zdunek
http://link.springer.com/article/10.1007/s12559-012-9185-9


A Real-Time Speech Enhancement Framework in Noisy and Reverberated
Acoustic Scenarios

Rudy Rotili , Emanuele Principi , Stefano Squartini & Björn Schuller
http://link.springer.com/article/10.1007/s12559-012-9176-x


Global Selection of Features for Nonlinear Dynamics Characterization
of Emotional Speech

Patricia Henríquez Rodríguez , Jesús B. Alonso Hernández , Miguel A.
Ferrer Ballester , Carlos M. Travieso González & Juan R.
Orozco-Arroyave
http://link.springer.com/article/10.1007/s12559-012-9157-0


Children's Emotion Recognition from Spontaneous Speech Using a Reduced
Set of Acoustic and Linguistic Features

Santiago Planet & Ignasi Iriondo
http://link.springer.com/article/10.1007/s12559-012-9174-z


Low-variance Multitaper Mel-frequency Cepstral Coefficient Features
for Speech and Speaker Recognition Systems

Md. Jahangir Alam , Patrick Kenny & Douglas O'Shaughnessy
http://link.springer.com/article/10.1007/s12559-012-9197-5


Enhancing the Feature Extraction Process for Automatic Speech
Recognition with Fractal Dimensions

Aitzol Ezeiza , Karmele López de Ipiña , Carmen Hernández & Nora Barroso
http://link.springer.com/article/10.1007/s12559-012-9165-0


Meteorological Prediction Implemented on Field-Programmable Gate Array

José L. Vásquez , Santiago T. Pérez , Carlos M. Travieso & Jesús B. Alonso
http://link.springer.com/article/10.1007/s12559-012-9158-z


Automatic Apnea Identification by Transformation of the Cepstral Domain

Carlos M. Travieso , Jesús B. Alonso , Marcos del Pozo-Baños , Jaime
R. Ticay-Rivas & Karmele Lopez-de-Ipiña
http://link.springer.com/article/10.1007/s12559-012-9184-x

-------Regular Papers--------------------------------------------------------------------

(Invited Paper) Moral Judgment, Human Motivation, and Neural Networks

Ron Sun
http://link.springer.com/article/10.1007/s12559-012-9181-0


A Twin Multi-Class Classification Support Vector Machine

Yitian Xu , Rui Guo & Laisheng Wang
http://link.springer.com/article/10.1007/s12559-012-9179-7


Binocular Energy Estimation Based on Properties of the Human Visual System

Rafik Bensalma & Mohamed-Chaker Larabi
http://link.springer.com/article/10.1007/s12559-012-9187-7


A Perceptual Visual Feature Extraction Method Achieved by Imitating V1
and V4 of the Human Visual System

Sungho Kim , Soon Kwon & In So Kweon
http://link.springer.com/article/10.1007/s12559-012-9194-8


Erratum to: Blame the Opponent! Effects of Multimodal Discrediting
Moves in Public Debates

Francesca D'Errico & Isabella Poggi
http://link.springer.com/article/10.1007/s12559-012-9190-z


---------------------------------------------------
Previous Issues/Archive: Overview:
---------------------------------------------------

All previous Volumes and Issues can be viewed here:
http://link.springer.com/journal/volumesAndIssues/12559

Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March
2009, can be viewed here (which included invited authoritative reviews
by leading researchers in their areas - including keynote papers from
London University's John Taylor, Igor Aleksander and Stanford
University's James McClelland, and invited papers from Ron Sun, Pentti
Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and
Tom Ziemke):
http://www.springerlink.com/content/1866-9956/1/1/

The full listing of Vol. 1, No. 2 / June 2009, can be viewed here
(which included invited reviews and original research contributions
from leading researchers, including Rodney Douglas, Giacomo Indiveri,
Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann
Pulvermuller):
http://www.springerlink.com/content/1866-9956/1/2/

The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here:
http://www.springerlink.com/content/1866-9956/1/3/

The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here:
http://www.springerlink.com/content/1866-9956/1/4/

The full listing of Vol.2, No. 1 / March 2010, can be viewed here:
http://www.springerlink.com/content/1866-9956/2/1/

The full listing of Vol.2, No. 2 / June 2010, can be viewed here:
http://www.springerlink.com/content/1866-9956/2/2/

The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here:
http://www.springerlink.com/content/1866-9956/2/3/

The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here:
http://www.springerlink.com/content/1866-9956/2/4/

The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on:
Saliency, Attention, Active Visual Search and Picture Scanning, edited
by John Taylor and Vassilis Cutsuridis), can be viewed here:
http://www.springerlink.com/content/1866-9956/3/1/
The Guest Editorial can be viewed here:
http://www.springerlink.com/content/hu2245056415633l/

The full listing of Vol.3, No.2 / June 2011 can be viewed here:
http://www.springerlink.com/content/1866-9956/3/2/

The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on:
Cognitive Behavioural Systems, Guest Edited by: Anna Esposito,
Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos
Faundez-Zanuy), can be viewed here:
http://www.springerlink.com/content/1866-9956/3/3/
The Guest Editorial for the special issue can be viewed here:
http://www.springerlink.com/content/h4718567520t2h84/

The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here:
http://www.springerlink.com/content/1866-9956/3/4/

The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here:
http://www.springerlink.com/content/1866-9956/4/1/

The full listing of Vol. 4, No.2 / June 2012 can be viewed here:
http://www.springerlink.com/content/1866-9956/4/2/

The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on:
Computational Creativity, Intelligence and Autonomy, Edited by: J.
Mark Bishop and Yasemin J. Erden) can be viewed here:
http://www.springerlink.com/content/1866-9956/4/3/

The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled:
"Cognitive & Emotional Information Processing", Edited by: Stefano
Squartini, Björn Schuller and Amir Hussain, which is followed by a
number of regular papers), can be viewed here:
http://link.springer.com/journal/12559/4/4/page/1

The full listing of Vol. 5, No.1 / March 2013 Special Issue titled:
Computational Intelligence and Applications Guest Editors: Zhigang
Zeng & Haibo He, which is followed by a number of regular papers), can
be viewed here:
http://link.springer.com/journal/12559/5/1/page/1

The full listing of Vol. 5, No.2 / June 2013 Special Issue titled:
Advances on Brain Inspired Computing, Guest Editors: Stefano
Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of
regular papers), can be viewed here:
http://link.springer.com/journal/12559/5/2/page/1

The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In
Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis
Cutsuridis & Amir Hussain, which is followed by a number of regular
papers), can be viewed here:
http://link.springer.com/journal/12559/5/3/page/1

--------------------------------------------------------------------------------------------
The University of Stirling is ranked in the top 50 in the world in The
Times Higher Education 100 Under 50 table, which ranks the world's
best 100 universities under 50 years old.
The University of Stirling is a charity registered in Scotland,
number SC 011159.

--
The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*.
94% of our 2012 graduates were in work and/or further study within six months of graduation.
*The Telegraph
The University of Stirling is a charity registered in Scotland, number SC 011159.

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Comp-neuro@neuroinf.org
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[Comp-neuro] Funded Postdoctoral Position in Image Analysis

FUNDED POSTDOCTORAL POSITION with emphasis on advanced image analysis
techniques, single particle tracking and/or modeling is available for a
highly motivated candidate at Washington University School of Medicine.

Our lab is dedicated to studying the mechanisms of synaptic transmission
at individual synapses and the role of synaptic plasticity in information
processing. Several current projects have translational emphasis on
dysfunction in information processing in neurological disorders such as
autism and mental retardation. The lab utilizes cutting-edge imaging and
electrophysiological tools in combination with image analysis and
computational techniques to approach these questions.

More information can be found on the lab website: www.klyachkolab.wustl.edu

Successful candidates will be in charge of the computational aspects of
these projects and will be able to combine them with experimental
approaches if desired. Qualified applicants are expected to hold a
doctoral degree (Ph.D.) in physics, engineering or life sciences, have
extensive experience in image/data analysis techniques and
computational/statistical methods. In depth knowledge of Matlab is
essential.

Trainee will work in a highly interactive multidisciplinary research
environment at Washington University, which has been consistently ranked
among the top five Medical Schools in the country. Highly competitive
salary and benefits are available and will commensurate with experience.
Interested applicants should provide their CV and names of two or three
references via email to:

Vitaly Klyachko, PhD
Assistant Professor
Department of Biomedical Engineering
Department of Cell Biology and Physiology
Washington University School of Medicine
E-mail: klyachko@wustl.edu

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Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro

[Comp-neuro] Latest update: International Symposium on the Role of Eye Movements in Vision – Yarbus-100

Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)

The Yarbus-100 Organizing Committee is pleased to present the latest up-to-date information on the Yarbus-100 Symposium

 

Important notes

- To be included in the Scientific Program, please submit a short report (up to 4000 words, including summary up to 150 words, but subtracting 400 words from the word limit per each figure or table included) or abstract (up to 400 words);

- To be included in the Schedule of Master Classes or Evening Entertainment Sessions, please provide description of scientific content and of the presentation equipment you need;

- Despite its conjunction with Young Scientists' School and Conference of the IITP (ITaS), the Yarbus-100 Symposium has no age restrictions for its participants!

-  More detailed information will be posted in a week on the IITP web site (English version is in development): http://itas2014.iitp.ru/?q=en 

 

Important dates

March, 10: Deadline for short report/abstract submission

April, 15: Decisions will be made

May, 1: Deadline for early payment (24 000 roubles)

August, 31: Departure from Moscow to Nizhny Novgorod by bus

 

Invited lectures

 Prof. Nicholas Wade "How were eye movements recorded before Yarbus?"

 Dr. Susana Martinez-Conde "From exploration to fixation: an integrative view of Yarbus's vision"

 Dr. Martin Rolfs "Shifting attention for active vision, then and now"

 Prof. Artem Belopolsky "Spatiotopic target-distractor competition in the oculomotor system"

 

Master Classes (as of Feb 1, 2014)

 Neurobotics (SMI) class on attention and emotion recognition.

 Alexander Zhegallo (Moscow State University of Psychology & Education) class on eye tracking data (both raw and processed) analysis.

 IITP RAS class on characteristics of fixation micro movements (dependence on visual task and viewing conditions).

 

We are looking forward to welcoming you and/or your colleagues at the symposium Yarbus-100 and the conference ITaS'14.

We strongly urge you to fill the registration form to indicate your participation as soon as possible, if you have not yet done so: http://tinyurl.com/lnn8ryd 

For any questions and suggestions please contact Andrey Bolshakov at: yarbus100@iitp.ru .

 

 

[Comp-neuro] Reminder: Submit your special issue article to The Scientific World Journal - one month left!

Dear colleagues,

 

Together with the other guest editors [Paolo Massobrio (University of Genova, Italy), Danny Eytan (The Hospital for Sick Children, Canada), Paolo Bonifazi (Tel Aviv University, Israel) and Paul Tiesinga (Radboud University Nijmegen, The Netherlands)], I have the pleasure to invite you to submit original research articles as well as reviews to the special issue titled ‘Hybrid Systems to Investigate the Computational and Learning Properties of Neuronal Assemblies’ to be published in The Scientific World Journal (http://www.hindawi.com/journals/tswj/).

The Scientific World Journal is open access and with an impact factor of 1.730. You can find the call for paper here: http://www.hindawi.com/journals/tswj/si/438539/cfp/.

 

Potential topics include, but are not limited to:

·         Encoding of inputs and retrieval of memories in cultured and simulated neuronal networks

·         Learning and adaptation in cultured networks

·         Electrophysiological experiments in closed-loop systems

·         Mathematical neuronal network models as tools to deduce computational properties of neural circuits

·         Hybrid systems: living networks coupled to artificial ones

·         Software and hardware strategies to manipulate and control neuronal dynamics

 

Deadline for article submission: March 7^th, 2014; Publication date: May 16^th, 2014.

 

We look forward to receiving your contribution!

 

Best regards

Michela Chiappalone

 

Lead Guest Editor

The Scientific World Journal

 

 

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

Dr Michela Chiappalone, PhD

NeuroTech Group

Department of Neuroscience and Brain Technologies (NBT)

Italian Institute of Technology (IIT)

Via Morego 30

16163 Genova (Italy)

 

e-mail : michela.chiappalone@iit.it

web-site : www.iit.it

direct phone :  +39 010 71781743

 

 

 

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

Dr Michela Chiappalone, PhD

NeuroTech Group

Department of Neuroscience and Brain Technologies (NBT)

Italian Institute of Technology (IIT)

Via Morego 30

16163 Genova (Italy)

 

e-mail : michela.chiappalone@iit.it

web-site : www.iit.it

direct phone :  +39 010 71781743

 

[Comp-neuro] Centre for Doctoral Training in Neurotechnology at Imperial College London

EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health

 

Ten fully funded PhD studentships are currently available for the 4-year postgraduate research training programme in Neurotechnology at Imperial College London.

 

Neurotechnology is the use of insights and tools from engineering, mathematics, physics, chemistry, and biology to investigate neural function and treat dysfunction.  Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The Centre will train a new generation of multidisciplinary researchers at the interface of neuroscience and engineering, to address this challenge.

 

The Centre spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial, with investigators from the Departments of Bioengineering, Mechanical Engineering, Electrical and Electronic Engineering, Computing, Chemistry, Physics, Life Sciences, and the Division of Brain Sciences. Directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews, it intends to admit approximately 14 students per year. All research projects will involve a team of supervisors, each of whom will bring complementary expertise to the project. In addition to researchers from across Imperial College, the Centre involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute and the University of Oxford.

 

Studentships will begin with an MRes in Neurotechnology, which forms an integral part of the four year training programme. During this year, student will take 3 months of taught courses specially developed for the CDT, followed by laboratory rotations as part of a single research training project. At the end of the first year, students enter the PhD phase having developed the interdisciplinary and technical skills to thrive in a cutting edge research environment, and make the most impact with their PhD.

 

In the current round, funding is available for the following ten projects:

1. Wearable wireless sensor arrays to detect the progression of amyotrophic lateral sclerosis (ALS). Prof Martyn Boutelle, Dr E M Drakakis and Prof Chris Shaw.
2. High-resolution mapping of age-related functional changes in cortical connectivity. Dr Stephen Brickley, Dr Paul Chadderton and Prof William Wisden.
3. Development of a bedside ‘hand-and-brain training’ rehabilitation aid for stroke patients. Prof Etienne Burdet, Dr Paul Bentley, Dr David Soto and Dr Caroline Alexander.
4. Experimental and computational study of auditory receptive field properties and connectivity. Dr Claudia Clopath, Dr Paul Chadderton.
5. High-throughput Visualization and Computational Consequences of Increased Synaptic Plasticity and Axon Regeneration in the Living Aged Brain. Dr Vincenzo De Paola, Dr Claudia Clopath, Dr Anil Bharath.
6. Hilbert-Huang Transform (HHT)-based Automated Neonatal EEG Early Warning System. Dr E M Drakakis, Prof D Azzopardi, Dr E Eftekhar.
7. Machine learning and human adaptability: towards a hierarchical model of executive cognition and brain function. Dr Aldo Faisal, Dr Adam Hampshire.
8. Designing novel imaging probes for targeting inflammatory lesions in brain disorders. Prof Nicholas Long, Dr Felicity Gavins.
9. Investigating Sports Related Concussion with a Wearable In-Ear System for Continuous Monitoring of Brain and Body Functions.  Prof D Mandic, Prof D Sharp. 
   
10. Optical decoding of peripheral nerve signals. Dr Simon Schultz, Prof Mark Neil, Prof Thomas Knöpfel.

Further information on these projects is available from http://www3.imperial.ac.uk/neurotechnology/cdt/projects

 

Who should apply

 

Applicants should be seeking to undertake a multidisciplinary 4-year research training programme at the interface between neuroscience and engineering. Applicants should have or expect to obtain a first or upper second class degree in an engineering or physical sciences discipline. Students with a biological or medical sciences background will be considered in exceptional circumstances, provided they can demonstrate substantial quantitative skills. Applicants would normally need to meet EPSRC eligibility criteria, however a small number of fully funded places may be open to EU students who do not satisfy these criteria.

 

Funding

 

Studentships will cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance will be provided for research consumables and for conference attendance.

 

How to Apply

 

To be considered for this round, you must apply via the CDT website by 5pm, Monday 24^th Feb. For more information on the programme, for details on the projects available, and how to apply, please visit: http://www3.imperial.ac.uk/neurotechnology/cdt

 

We urge prospective applicants to contact project supervisors as soon as possible. Early application is encouraged and a number of early offers may be made.

 

--

Simon R Schultz
Royal Society Industry Fellow
Director, Centre for Neurotechnology
Institute of Biomedical Engineering & Department of Bioengineering
Imperial College London
Lab website: http://www.schultzlab.org
Centre: http://www.imperial.ac.uk/neurotechnology
EU ITN: http://www.neural-engineering.eu