[Comp-neuro] Workshop on “Perception and cognition in the brain – integrating single cell recordings, spiking neurons and a brain theory” at IJCNN 2013 in Dallas, Texas

The following post-conference workshop will be held on August 9, Friday, 2013 at the IJCNN 2013 in Dallas, Texas. One might be able to register for this workshop separately. Please check the IJCNN website. Anyone interested in this workshop can contact us.

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"Perception and cognition in the brain – integrating single cell recordings, spiking neurons and a brain theory"

 

IJCNN 2013, Dallas, Texas, Aug 9, 2013

 

Sponsors –          1. Autonomous Machine Learning (AML) Section of INNS (International Neural Network Society)

                                2.  Spiking Neural Network SIG of INNS

 

Presenters:

 

Narayan Srinivasa, HRL Laboratories, USA (http://www.frontiersin.org/people/NarayanSrinivasa/63753/profile )

Moran Cerf, New York University, USA (http://www.morancerf.com/cv.php)

Asim Roy, Arizona State University, USA (http://lifeboat.com/ex/bios.asim.roy)

 

Abstract:

 

Even after decades of research, the mechanisms by which perception and cognition arise in the brain have been elusive to us. This workshop will present research in three separate but related areas to get a better understanding of these mechanisms in the brain. We will first review and summarize the findings of over four decades of research on single cell recordings of the brain, both in animals and humans, to provide a better understanding of how the internal mechanisms of the brain work. This will also cover some recent recordings from the medial temporal lobe region of the human brain that relate to higher level perception and cognition. Second, we will review the relevance of spike coding and provide examples of spiking neural network models and related neuromorphic technology that are under development. Some of the next generation of robots will be built using such neuromorphic chips that implement some of these ideas. Third, we will review a new brain theory that postulates that localist representation, instead of a distributed one, and grandmother cells are used widely in the brain. This theory is based on substantial neurophysiological evidence and shows the pathway to perception and cognition in the brain. In fact, the most efficient and easily accessible form of semantic cognition could be built with grandmother cells. We will try to integrate these research findings for a better understanding of the processes within the brain.

 

After these presentations, we will have open discussions about research and collaboration to build the next generation of robots that possess the skills of perception and cognition.

 

Some references:

 

A.            Narayan Srinivasa's work on spiking neurons

 

1.       Corey M. Thibeault, Kirill Minkovich, Michael J. O'Brien, Frederick C. Harris and Narayan Srinivasa

Efficiently passing messages in distributed spiking neural network simulation

2.       Karl Dockendorf and Narayan Srinivasa

Learning and prospective recall of noisy spike pattern episodes

3.       Corey M. Thibeault and Narayan Srinivasa

Using a hybrid neuron in physiologically inspired models of the basal ganglia

 

B.            Moran Cerf's work on single cell recordings

 

1.       Moran Cerf, Nikhil Thiruvengadam, Florian Mormann, Alexander Kraskov, Rodrigo Quian Quiroga, Christof Koch & Itzhak Fried

On-line, voluntary control of human temporal lobe neurons

2.       Florian Mormann, Julien Dubois, Simon Kornblith, Milica Milosavljevic, Moran Cerf, Matias Ison, Naotsugu Tsuchiya, Alexander Kraskov, Rodrigo Quian Quiroga, Ralph Adolphs, Itzhak Fried & Christof Koch

A category-specific response to animals in the right human amygdala

 

C.            Asim Roy's work on brain theories

 

1. Asim Roy: A theory of the brain: localist representation is used widely in the brain

2. Asim Roy: An extension of the localist representation theory: grandmother cells are also widely used in the brain

3. Asim Roy: Connectionism, controllers and a brain theory

 

 

[Comp-neuro] Cognitive Computation journal (Springer): Table of Contents, Vol.5, No.2 / June 2013 Issue

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

We are delighted to announce the publication of Volume 5, No.2/June 2013 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559

This Issue comprises a Special Issue titled: Advances on Brain Inspired Computing / 2012 Brain Inspired Cognitive Systems (BICS 2012) Conference, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu.

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/12559/5/2/page/1

A list of the most downloaded articles (which can always be read for FREE) can be found here:
http://www.springer.com/biomed/neuroscience/journal/12559#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!
=======================================================
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 500 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 weeks of receipt.

We also welcome relevant high quality proposals for Special Issues - five are already planned for 2013-14, including a forthcoming Special Issue (Sep 2013 Issue) to celebrate the work of the late Professor John Taylor, founding Chair of Cognitive Computation's Editorial Advisory Board.

With our very best wishes for the Summer, 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)

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Table of Contents Alert -- Cognitive Computation Vol 5 No 2, June 2013
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Special Issue: Advances on Brain Inspired Computing / 2012 Brain Inspired Cognitive Systems (BICS 2012) Conference
Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu

Special Issue Editorial: Advances on Brain Inspired Computing
Stefano Squartini, Sanqing Hu & Qingshan Liu
http://link.springer.com/article/10.1007/s12559-013-9215-2

Learning Effects in Coupled Arrays of Cellular Neural Oscillators
Robert Kozma & Marko Puljic
http://link.springer.com/article/10.1007/s12559-012-9182-z

Robust Bayesian Classification with Incomplete Data
Xunan Zhang, Shiji Song & Cheng Wu
http://link.springer.com/article/10.1007/s12559-012-9188-6

Mussels Wandering Optimization: An Ecologically Inspired Algorithm for Global Optimization
Jing An, Qi Kang, Lei Wang & Qidi Wu
http://link.springer.com/article/10.1007/s12559-012-9189-5

Quantized Control Design for Coupled Dynamic Networks with Communication Constraints
Guotao Hui, Bonan Huang, Yingchun Wang & Xiangping Meng
http://link.springer.com/article/10.1007/s12559-013-9203-6

Underdetermined Blind Source Separation by Parallel Factor Analysis in Time-Frequency Domain
Liu Yang, Jun Lv & Yong Xiang
http://link.springer.com/article/10.1007/s12559-012-9177-9

Distributed Interference Alignment Algorithm for Multiple-Input Multiple-Output Networks with Uncoordinated Interference
Liang Zhong, Guangxi Zhu, Zhengmin Kong & Jian Liu
http://link.springer.com/article/10.1007/s12559-012-9195-7

Automatic Removal of Artifacts from Attention Deficit Hyperactivity Disorder Electroencephalograms Based on Independent Component Analysis
Ling Zou, Soukun Xu, Zhenghua Ma, Jieru Lu & Wenjing Su
http://link.springer.com/article/10.1007/s12559-012-9199-3

Common Sense Knowledge for Handwritten Chinese Text Recognition
Qiu-Feng Wang, Erik Cambria, Cheng-Lin Liu & Amir Hussain
http://link.springer.com/article/10.1007/s12559-012-9183-y

Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential
Bin Xia, Xing Li, Hong Xie, Wenlu Yang, Jie Li & Lianghua He
http://link.springer.com/article/10.1007/s12559-013-9202-7

Bio-inspired Approach for Smooth Motion Control of Wheeled Mobile Robots
Z. J. Jia, Y. D. Song & W. C. Cai
http://link.springer.com/article/10.1007/s12559-012-9186-8

Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management
Matteo Boaro, Danilo Fuselli, Francesco De Angelis, Derong Liu, Qinglai Wei & Francesco Piazza
http://link.springer.com/article/10.1007/s12559-012-9191-y

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

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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 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.

[Comp-neuro] research positions in Computional Neuroscience for postdocs and graduate students

POSITION: Xaq Pitkow's Computational Neuroscience group jointly at the Baylor College of Medicine and Rice University (neuro.bcm.edu/pitkowlab) is just starting and I am seeking highly motivated researchers to help build a fun, dynamic, collaborative lab environment. We have broad research interests with a primary focus on developing theories of the computational functions of neural networks, especially how they compute properties of the world using ambiguous sensory evidence. A few related topics include: distributed neural representations, algorithms for statistical inference, models of the natural environment, and computation by nonlinear recurrent networks. Successful applicants are welcome to pursue research in collaboration with experimentalists and/or in pure theory.

QUALIFICATIONS: The main selection criteria will be outstanding research accomplishments, quantitative skills, creativity and promise of future achievement. A strong quantitative background is required for both graduate students and postdocs, and postdoctoral applicants must have a Ph.D in a relevant discipline. Previous experience with neurobiology is helpful but not necessary: Computational Neuroscience benefits from researchers with backgrounds in physics, mathematics, neuroscience, psychology, biology and biophysics, statistics, machine learning, computer science, electrical engineering, and other related areas.

ENVIRONMENT: Baylor is one of the nation's top neuroscience research institutes and has strong experimental interests in systems neuroscience (neuro.bcm.edu). Rice is a leading research and teaching institution with strengths in electrical and computer engineering (ece.rice.edu) and continuing growth in neuroengineering. Houston hosts an outstanding greater research community, including multiple labs pursuing computational neuroscience. Our lab will be active in developing cross-institutional connections between Baylor, Rice, University of Texas at Houston, and the University of Houston.

APPLYING: Postdoctoral fellowships are for an initial appointment of one year, with possible extensions to three years depending on progress. The positions provide a highly competitive annual salary and benefits. Applicants should email a letter of research interests and CV to Xaq Pitkow (xaq(a)cns.bcm.edu), and should also arrange to have three letters of reference sent. The start date is flexible, and I look forward to reviewing completed applications as they arrive.

[Comp-neuro] LASCON 2014 - V Latin American School on Computational Neuroscience (Call for applications)

**** Apologies for cross-posting ****
 
V  Latin American School on Computational Neuroscience - LASCON 2014

January 12 - February 07, 2014, Natal, Brazil

http://sisne.org/lascon

FIRST ANNOUNCEMENT

Dear Colleagues, 

Following the success of the previous four editions of LASCON (Latin American School on Computational Neuroscience), held in 2006, 2008, 2010 and 2012, I am pleased to announce the 5th LASCON, which will take place between January 12 and February 7 in Natal, Brazil. 

 

LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. These models will be taught via a combination of theoretical lectures and hands-on tutorials with the use of the programs neuroConstruct, NEURON, GENESIS, XPPAUT, NEST and Matlab.

 

Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The groups and projects will be defined at the middle of the second week, after interviews between students and lecturers/organizer. In the beginning of the fourth week there will be an informal poster session in which student groups will make presentations of the progress achieved. Based on the suggestions and comments made by lecturers and other students the groups will resume work to prepare the final oral presentation. 

 

Theoretical classes and tutorials will be given by the following people:

 

Adriano Tort (Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil)

Arnd Roth (University College, London, UK)

Avrama Blackwell (Krasnow Institute, George Mason University, Fairfax, VA, USA)

David Beeman (University of Colorado, Boulder, CO, USA)

Gennady Cymbalyuk (Georgia State University, Atlanta, GA, USA)

Rodrigo Quiroga (University of Leicester, Leicester, UK)

Sacha van Albada (Research Center Juelich, Juelich, Germany)

Volker Steuber (University of Hertfordshire, Hatfield, UK)

 

The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page (http://sisne.org/lascon). Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation.

 

There is no registration fee for the school. Costs for accommodation will be covered by the school organization but travel costs will have to be covered by the students.

 

In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well.

 

The application deadline is September 21 2013.

 

I am looking forward to see you in Natal.

Best regards,

Antonio Roque

LASCON organizer

--

Dr. Antonio C. Roque
Professor Associado
Departamento de Fisica
FFCLRP, Universidade de Sao Paulo
14040-901 Ribeirao Preto-SP
Brazil  -  Brasil

E-mails:

antonior@ffclrp.usp.br

aroquesilva@gmail.com
URL: www.sisne.org

Tels: +55 16 3602-3768 (sala/office);
         +55 16 3602-3859 (lab)
FAX: +55 16 3602-4887

 

[Comp-neuro] Open for Submission: ICEEE2013 - Poland - IEEE

The Society of Digital Information and Wireless Communications (SDIWC)
have the following conference wherein researchers are encourage in
submitting a paper or more.

THE SECOND INTERNATIONAL CONFERENCE ON E-LEARNING AND E-TECHNOLOGIES IN
EDUCATION (ICEEE2013)
Technical University of Lodz, Poland
Sept. 23-25, 2013

All papers in this conference will be submitted to IEEE for potential
inclusion to IEEE Xplore.

The main objective of this conference is to provide a medium for
professionals, engineers, academicians, scientists, and researchers from
over the world to present the result of their research activities in the
field of Computer Science, Engineering and Information Technology. ICEEE
2013 provides opportunities for the delegates to share the knowledge,
ideas, innovations and problem solving techniques.

Research topics are (but not limited to):
- Mobile Learning (M-learning)
- E-Learning Hardware and Software
- Ontology and Meta-Data Standards
- Security Aspects
- Computer-Aided Assessment
- Virtual Labs and Virtual Classrooms
- Joint Degrees
- Authoring Tools and Content Development
- Medical Applications
- Technology Support for Pervasive Learning
- Groupware Tools
- Blended Learning
- Teacher Evaluation
- Higher Education vs. Vocational Training
- Technology Enhanced Learning
- Educating the Educators
- Assessment Software Tools
- E-Learning Success Cases

Papers should be submitted electronically as pdf format without author(s)
name. All papers will be fully refereed by a minimum of two specialized
referees. You may SUBMIT YOUR PAPERS NOW, visit
http://sdiwc.net/conferences/2013/iceee2013/

Notification of acceptance: 4 weeks from the date of submitting the paper
or September 5, 2013
Camera Ready submission : September 15, 2013
Registration : September 15, 2013
Conference dates : September 23- 25, 2013


Copyright © 2013 SDIWC || www.sdiwc.net

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Comp-neuro@neuroinf.org
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[Comp-neuro] seeking used Grass Instruments audio monitor

Subject line says it all! Anyone got an older model in a cupboard somewhere that they would be willing to sell to me?
The current version is
http://www.grasstechnologies.com/products/amplifiers/am10.html


--
Dr Jenny C. A. Read
Reader in Vision Science Mobile 0756 151 6988
Institute of Neuroscience Office +44 191 222 7559
Newcastle University, NE2 4HH Website jennyreadresearch.com


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Comp-neuro@neuroinf.org
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[Comp-neuro] Postdoc/Univ. Assistant position for Machine Learning applications in Neuroscience

I am inviting applications for a Postdoc/University Assistant position
in my team at the Graz University of Technology (Faculty for Computer
Science) for research on

Machine Learning with Applications in Computational Neuroscience.

This position will be partially funded by the EU Flagship Project "Human
Brain Project" http://www.humanbrainproject.eu/
and by the EU-Project BrainScaleS
http://brainscales.kip.uni-heidelberg.de/index.html

This Postdoc position can be combined with a half-time position as
University Assistant (Universitäts-Assistent) at the Graz University of
Technology. Such position usually runs for 4 years, involves teaching a
course in Machine Learning, and provides a good entrance stage for a
career as University Professor (including a Habilitation).

One of our goals in Machine Learning is to develop for our collaboration
with leading Labs in Experimental Neuroscience new methods for the
analysis of data, especially for new recording methods such as 2-photon
calcium imaging from hundreds of neurons in vivo over extended periods
of time (even while the animal learns new behaviours).

Another goal of our Lab is to apply methods and insights from Machine
Learning to elucidate through theoretical models and computer
simulations the emergence of computational organization in networks of
neurons in the brain, and to improve our understanding of various
learning processes in the brain on the basis of experimental data from
neuroscience and cognitive science. We have a very active research group
in this area, involving also Prof. Robert Legenstein and several
postdocs and phd students.

Expected qualifications:
Excellent research skills, very good knowledge in Machine Lerning
(including a Phd in a related area), a genuine interest in answering
fundamental open questions about learning processes in the brain, and
the capability to work in an interdisciplinary research team and in the
context of international research projects are expected. Experience in
programming, computer simulations or data analysis will be helpful.

Please send your CV, a list of your publications (and pdf's for
publications that are not freely online available), information about
your grades, a letter describing your scientific interests and goals,
and names and email addresses of referees

by July 7 to my assistant Regina Heidinger:

regina.heidinger@igi.tugraz.at

--
Prof. Dr. Wolfgang Maass
Institut fuer Grundlagen der Informationsverarbeitung
Technische Universitaet Graz
Inffeldgasse 16b , A-8010 Graz, Austria
Tel.: ++43/316/873-5811
Fax ++43/316/873-5805
http://www.igi.tugraz.at/maass/Welcome.html
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[Comp-neuro] Symposium on Emergent Social Behaviours in Bio-hybrid Systems

Dear colleagues, 

 
It is our pleasure to announce the forthcoming 'Symposium on Emergent Social Behaviours in Bio-hybrid Systems'. The symposium will run as a satellite to the Living Machines 2013 conference (http://www.csnetwork.eu/livingmachines/conf2013), and will take place on Friday 2nd August in the Sir Alexander Fleming Building, Imperial College London. Registration will be on a first-come-first-served basis, so please book your place early! For more details please see:

http://www.csnetwork.eu/livingmachines/conf2013/workshop

This symposium will explore the emergence of biohybrid societies comprising living systems (i.e., organisms) and embodied artificial systems (i.e., robots). Biohybrid societies research is a new science, which poses exciting new questions at the interface between computational biology, biomimetic and bio-inspired robotics, swarm robotics and swarm intelligence, and artificial intelligence and artificial life. How can living and artificial systems self-organise to generate complex aggregate behaviours? By what processes can mixed societies maintain group-level homeostasis? How might organisms and robots compete and/or cooperate in order to achieve common goals? What can biohybrid societies research reveal about the organisation of natural social systems? How can control over the individual be used to exert control over the group? By what laws might biohybrid societies emerge, develop, and evolve? Biohybrid societies research also raises important ethical questions about potential benefits to and impacts upon animal welfare, about the safety of biohybrid systems, and about the potential impacts of biohybrid technologies for e.g., agriculture, entertainment, and health. With these questions in mind, the symposium will feature invited talks tackling 'core' themes, as well as exploratory short-talks at open invitation, a poster session, and a structured panel discussion addressing broader concepts and potential impacts.
 
Confirmed speakers:
 
Terence Deacon, University of California, Berkeley.
title TBC
 
Chrisantha Fernando, Queen Mary University of London.
Darwinian Neurodynamics
 
Andrew Adamatzky, University of the West of England.
Advances in Physarum Machines
 
Thomas Schmickl, University of Graz.
From Biology & Robots to Biohybrid Systems
 
Roderich Groß, University of Sheffield.
Collective Behavior: Minimalism, Evolution and Science Automation
 
José Halloy, Universite Paris Diderot.
Biological and technological challenges of social bio-hybrid systems of animals and robots generating collective intelligence
  
We look forward to meeting you in London, 
 
Stuart Wilson
Thomas Schmickl
José Halloy

-- 
Dr. Stuart P. Wilson (Lecturer in Cognitive Neuroscience)
Department of Psychology (Room 2-42)
University of Sheffield
Sheffield, S10 2TP, UK.

Tel: +44 (0) 114 222 6595 
Fax: +44 (0) 114 276 6515 
Email: S.P.Wilson@Sheffield.ac.uk 
Group: abrg.group.shef.ac.uk/people/stuart/

Personal: spwilson.staff.shef.ac.uk

Departmental: www.sheffield.ac.uk/psychology/staff/academic/stuart_wilson

[Comp-neuro] Computational modelling: from neurons to systems and behaviour, 11-13 September, Sheffield, UK

Computational modelling: from neurons to systems and behaviour
3rd NAMASEN Training Workshop, Sheffield, UK
11-13 September 2013
 
NAMASEN (http://www.namasen.net/) is a multi-disciplinary Initial Training Network (ITN) funded under the EU FP7 Marie Curie Actions. Its 3rd workshop, hosted by the University of Sheffield, UK, is open to PhD students and researchers and will focus on theory and models in Neuroscience.

The aim of the workshop is to provide a view of current computational and theoretical models that can be employed to tackle key biological questions such as neural plasticity and its role in memory formation, dendritic and neural computation, and reinforcement learning and its role in decision-making and shaping behaviour.

List of confirmed speakers in alphabetical order:

Claudia Clopath,  Imperial College, UK

Peter Dayan Gatsby Unit, University College London, UK

Wulfram Gerstner, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Michele Giugliano, University of Antwerp, Belgium

Kevin Gurney, University of Sheffield, UK

Dieter Jaeger, Emory University, USA

Robert Legenstein, Graz University of Technology, Austria

Jean Pascal Pfister, University Bern, Switzerland

Panayiota Poirazi, Foundation for Research and Technology - Hellas (FORTH), Greece

Tony Prescott, University of Sheffield, UK

Magnus Richardson, University of Warwick, UK

Mark Van Rossum, University of Edinburgh, UK

Idan Segev, Hebrew University, Israel

Harel Shouval, The University of Texas, USA

 
The last day of the event, Friday the 13th, will consist of two soft skills sessions. Coffee breaks, refreshments and a light lunch will be offered to all participants.
 

Registration is free for participants outside NAMASEN. For more information please see: http://www.namasen.net/drupal/sites/WorkshopShefffield2013/index.html.


We look forward to welcome you in Sheffield.

The organization committee:

Eleni Vasilaki – Tiago Gehring - Panayiota Poirazi

-- Dr Eleni Vasilaki, Lecturer
Web: www.dcs.shef.ac.uk/~eleni

[Comp-neuro] [Frontiers Research Topic] on Neuronal stochastic variability: influences on spiking dynamics and network activity

Dear Colleagues,

In collaboration with Frontiers in Neuroscience, we are currently organizing a Research Topic, "Neuronal stochastic variability: influences on spiking dynamics and network activity".

This will be published in Frontiers in Computational Neuroscience. Details are as follows.

Topic Editors: 

Mark D. McDonnell, University of South Australia, Australia 
Joshua H. Goldwyn, New York University, USA 
Benjamin Lindner, Bernstein Center for Computational Neuroscience, Germany

Description: 

Stochastic fluctuations are intrinsic to and unavoidable at every stage of neural dynamics. Ion channels undergo random conformational changes, neurotransmitter release at synapses is discrete and probabilistic, neural networks are embedded in spontaneous background activity, to name a few. 

The mathematical and computational tool sets contributing to our understanding of stochastic neural dynamics have expanded rapidly in recent years. New theories have emerged detailing the dynamics and computational power of the balanced state in recurrent networks. At the cellular level, novel stochastic extensions to the classical Hodgkin-Huxley model have enlarged our understanding of neuronal dynamics and action potential initiation. Analytical methods have been developed that allow for the calculation of the firing statistics of simplified phenomenological integrate-and-fire models, taking into account adaptation currents or temporal correlations of the noise. 

This special topic calls for papers that are focused on identified physiological/internal noise sources and mechanisms, where the meaning of "internal" can vary in scale from ion channel to synapse to neuron to network, and so forth, provided it is generated by intrinsic biophysical processes. 

We encourage submissions that bridge noise sources across scales. For instance, how do synaptic and membrane noise sources filter through and reverberate in small networks? It is also timely to consider noise and variability from sources that have received relatively little attention. What are the effects of cell-type heterogeneity or membrane inhomogeneity? How do extracellular electrical interactions (ephaptic communication) and neurotransmitter diffusion in the synaptic cleft influence dynamics and computation? 

Ideal contributions will introduce innovative mathematical analysis and/or computational methods that relate to empirical measures of neural activity and illuminate the functional role of intrinsic noise in the brain. 

The following are OUT OF SCOPE for this special topic: 

1. papers that do not make an informed attempt to state a neurophysiologically relevant intrinsic noise model as a starting point; 
2. papers focused on non-invasive variability such as measured by EEG and fMRI; 
3. papers on the impact of extrinsic noise that is artificially introduced into biological sensory systems, such as through injected currents; 
4. papers concerned with artificial neural network algorithms/theory that lack a neurobiological foundation.

Deadline for abstract submission: 15 Sep 2013
Deadline for full article submission: 15 Mar 2014

For more information about this topic and Frontiers in Computational Neuroscience, please visit:

http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neuronal_stochastic_variabilit/1936

Researchers are welcomed to submit on or before the abstract submission date a max. 1 page abstract/outline of work related to the focus of the research topic using the following link: http://www.frontiersin.org/Submission/SubmissionHome.aspx?st=3&tid=1936

Authors will be notified by the host editor whether their abstract has been accepted.

Regards,

Mark D. McDonnell, Joshua H. Goldwyn and Benjamin Lindner

[Comp-neuro] PhD studentship at the UCL Ear Institute

Please forward to anyone who might be interested.

 

A 3 year PhD studentship in auditory cognitive neuroscience is available as part of a research collaboration between the UCL Ear Institute (London, UK) and NTT Communication Science Labs (Nippon Telegraph and Telephone corporation, Atsugi, Japan). The student will be based at the UCL Ear Institute and supervised by Dr. Maria Chait. They will also be working with Prof. Makio Kashino and Dr. Shigeto Furukawa (NTT).  The project will use psychophysics, eye tracking, autonomic response measures and MEG functional brain imaging to investigate which features of sound are perceptually salient. Namely, those sounds that automatically capture attention in a busy scene, even when listeners’ initial perceptual focus is elsewhere.

 

The UCL Ear Institute provides state-of-the-art research facilities across a wide range of disciplines and is one of the foremost centres for hearing, speech and language-related research within Europe.

 

Key Requirements

The PhD start date would be September  2013.  Applicants should have a UK/EU nationality and a 1^St class, or upper 2^nd degree in a relevant discipline (e.g. Psychology, Neuroscience, Engineering). The PhD work would require good programming skills (e.g. in Matlab). Previous experience with auditory research, functional brain imaging, signal processing and/or acoustics is desirable.

 

For an informal discussion, or to submit an application please contact Dr. Maria Chait (m.chait@ucl.ac.uk). Applicants should submit a supporting statement, a CV, and the details of two academic referees.  The closing date for receipt of applications is July 15th, 2013.The studentship includes fees and a yearly stipend (about £16000;  tax free).

 

 

Maria Chait PhD

m.chait@ucl.ac.uk

 

Senior Lecturer

UCL Ear Institute

332 Gray's Inn Road

London WC1X 8EE

 

[Comp-neuro] Postdoctoral position in Valparaiso, Chile

Dear all,

The following position is available.

Best Regards

Post-Doctoral position available at the Computational Neuroscience lab, Centro Interdisciplinario de Neurociencia de Valparaíso. Dr. Patricio Orio

Research Topic: Mathematical modeling of the electrical activity of cold sensitive nerve endings.

In order to understand the dynamics of thermosensation in physiological and pathological conditions, we will fit and analyze conductance-based models of cold receptors. We will employ parameter optimization algorithms and tools for dynamical system analysis. This work will not only shed light about the role of different ion conductances in cold thermoreceptors, but also on how an oscillatory system can maintain its regular behaviour despite dramatic changes of parameters induced by temperature.

Applicants must be interested in working in an interdisciplinary work environment, as well as possess mathematical knowledge in dynamical systems, neural excitability and/or analysis of oscillatory phenomena. Also programming skills are desirable. Possible applicant's profiles include:

- PhD in physics or applied mathematics with interest on biological phenomena.

- PhD in neuroscience or related areas with advanced mathematical skills.

CONTACT Interested candidates should send CV and references to Dr. Rodolfo Madrid e-mail: rodolfo.madrid@usach.cl

Funded by CONICYT Grant ACT-1113: Physiological role of TRP channels in thermal sensory transduction and synaptic plasticity

--

Prof. Patricio Orio

Centro Interdisciplinario de Neurociencias de Valparaíso CINV

Facultad de Ciencias

Universidad de Valparaíso, Chile

[Comp-neuro] Postdoctoral position in Sleep and Cognition

The Sleep and Cognition (SaC) Lab of the Department of Psychology at the University of California, Riverside is soliciting applications from cognitive psychologists, neuroscientists, and engineers for a postdoctoral research position. The researcher will work with existing and ongoing data sets related to the effect of pharmacology and sleep on memory consolidation. Successful candidates should have experience in applying signal processing and non-linear analysis techniques to EEG recordings, as well as programming skills. Experience in sleep methodology is desirable, but not essential. Researchers must possess a doctoral degree. The University of California offers excellent benefits. Salary is based on researchexperience. The initial appointment is for 1 year with a possibility of extension. Please send your CV, statement of research interests and the names of three references or make inquires to Sara C. Mednick smednick@ucr.edu.

Thank you.

Sara Mednick

--
Assistant Professor
University of California, Riverside
Department of Psychology
Sleep and Cognition Lab
www.saramednick.com

[Comp-neuro] New book release: "How to build a brain: A neural architecture for biological cognition"

Dear colleagues,

We are pleased to announce the release of a new book based on the work in our lab:

Chris Eliasmith. How to build a brain: A neural architecture for biological cognition. Oxford University Press, New York, NY, 2013.

One goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that are able to explain the flexibility and adaptiveness of biological systems. "How to build a brain" provides a detailed guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena. Examples of such models are provided, and they are shown to explain a wide range of data.  These models are not introduced as independent considerations of brain function, but instead integrated to give rise to what is currently the world's largest functional brain model.[1]

All of the software used in the book is available for free at http://www.nengo.ca.  The book includes 8 detailed, hands-on tutorials that exploit this software, providing practical experience with the concepts and models presented throughout. In addition, all the source code for this project is available at https://github.com/ctn-waterloo/nengo_1.4 for those looking to work with (or contribute to) the development version.

We hope this book will spark some interesting conversations, and eagerly invite any comments or discussion.

Centre for Theoretical Neuroscience
University of Waterloo


[1] Eliasmith,C. T.C. Stewart, X. Choo, T. Bekolay, T. DeWolf, Y. Tang, and D. Rasmussen. A large-scale model of the functioning brain. Science, 338:1202-1205, 2012.

 

 

[Comp-neuro] Postdoc in Computational Neuroscience

Dear all,

The following 3 year post is available in Scotland. Note that
I will be at the CNS meeting in Paris and can answer queries there.

Thanks,
Bruce Graham

-------------------------------------------------------------------
Post-doctoral research assistant in computational neuroscience (3 year FTA):
Location: School of Natural Sciences, University of Stirling, Scotland, U.K.
Job number: SCH00213
Full time, Fixed Term Contract (expected dates 01/10/2013 - 31/09/2016)
Grade 6 £24,049 - £29,541
Closing date: 26th July 2013

The Biotechnology and Biological Sciences Research Council-funded project
"Balancing resource and energy usage for optimal performance in a neural
system", will use a tightly integrated programme of experiments and
computational modelling to study activity-dependent regulation in the
medial nucleus of the trapezoid body (MNTB) in the mammalian auditory
brainstem, which plays a key role in sound source localisation (SSL). We
will examine how different intrinsic plasticity mechanisms, evoked by
incoming neural activity, obtain satisfactory functional performance in
this nucleus from a limited set of noisy resources (neurons, ion channels,
synapses etc) while minimising energy usage. This project is a
collaboration between computational modellers at Stirling (Dr Bruce
Graham) and Edinburgh (Dr Matthias Hennig), and the experimental lab of
Prof. Ian Forsythe at the University of Leicester. The PDRA at Stirling
will carry out the computational modelling. A PDRA at Leicester will be
conducting the experiments. Continuous interaction between the two PDRAs
will be necessary.

Essential:
PhD in relevant area (or close to completion of PhD).
The candidate should have good computational modelling skills (preferably
in compartment modelling of neurons); be familiar with numerical
mathematics and dynamic and stochastic systems; have proven computer
programming ability in a high-level language such as Java or C++;
demonstrated ability to work both independently and as part of a team and
an aptitude for working across the life sciences interface; a proven track
record in this field (e.g. through peer-reviewed publications of
international quality), and an ability to present their work to a
specialist audience.
They must be willing to travel to other project sites for collaboration
(short visits).

Desirable:
Strong candidates would demonstrate one or more of the following: A sound
knowledge of the nervous system and neurons; experience with the NEURON
simulator and MATLAB software; a knowledge of parameter identification
and optimisation techniques for modelling.; proven ability to work in an
inter-disciplinary team, across the life sciences interface.; proven
communication skills with non-specialists.

Additional Information
For informal enquires, or to discuss how you might fit into our project,
please contact the project principal investigator, Dr Bruce Graham (01786
467432, b.graham@cs.stir.ac.uk).
To apply, go to http://www.stir.ac.uk/about/jobs/list/ (Postdoctoral
Research Assistant)



--
Dr Bruce Graham, Reader (b.graham@cs.stir.ac.uk)
Computing Science and Mathematics,
School of Natural Sciences,
University of Stirling,
Stirling FK9 4LA
phone: +44 1786 467 432 fax: +44 1786 464 551
Coauthor of "Principles of Computational Modelling in Neuroscience", CUP
July 2011

--
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.

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

[Comp-neuro] Three Panton Fellowships available for open science projects

Dear list subscribers,

This message is to let you know that the Open Knowledge Foundation have three Panton Fellowships (£8,000 each) available to award this year to graduate students or early career researchers with an idea or project involving open data (open as per http://opendefinition.org/ ).

To be eligible the applicants have to be based in Europe and hold a valid EU passport.

The deadline for applications is July 12th, 2013.

Further details of how to apply, and information on eligibility are here: http://pantonprinciples.org/panton-fellowships/

--

Ross Mounce

Community Coordinator, Open Science  |  @rmounce

The Open Knowledge Foundation

Empowering through Open Knowledge

http://okfn.org/  |  @okfn  |  OKF on Facebook  |  Blog  |  Newsletter

[Comp-neuro] New book: (Redish) The Mind within the Brain: How we make decisions and how those decisions go wrong

Now available:

A. David Redish (2013)
_The Mind within the Brain: How we make decisions and how those decisions go wrong_

Oxford University Press

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

Our choices make us who we are, and yet how we make those choices has remained shrouded in mystery.   Over the past decades, a multitude of fields studying decision-making have converged on similar mechanisms, suggesting that decision-making within the mammalian brain (including the human) arises from an interaction of identifiable subsystems.  These systems include both those involved in action-selection (Reflexes, Pavlovian, Deliberative, and Procedural) and support systems (Perceptual, Motor, Motivational, and Situation-recognition).   The book shows how current science understands these systems, following from the evidence that the mind is instantiated by a physical brain. The fact that we are physical brains has implications for understanding both normal function (imagination, memory, decision-making) and abnormal dysfunction (addiction, gambling, psychiatric disorders), as well as implications for what differentiates humans from other animals, our understanding of morality, and consciousness.

Table of Contents:

DECISIONS AND THE BRAIN
1. What Is a Decision?
2. The Tale of the Thermostat
3. The Definition of Value
4. Value, Euphoria, and the Do-It-Again Signal
5. Risk and Reward

THE DECISION-MAKING SYSTEM
6. Multiple Decision-Making Systems
7. Reflexes
8. Emotion and the Pavlovian Action-Selection System
9. Deliberation
10. The Habits of Our Lives
11. Integrating Information
12. The Stories We Tell
13. Motivation
14. The Tradeoff Between Exploration and Exploitation
15. Self-Control

THE BRAIN WITH A MIND OF ITS OWN
16. The Physical Mind
17. Imagination
18. Addiction
19. Gambling and Behavioral Addictions
20. Post-Traumatic Stress Disorder
21. Computational Psychiatry

THE HUMAN CONDITION
22. What Makes Us Human?
23. The Science of Morality
24. The Conundrum of Robotics

Epilogue

APPENDIX
A. Information Processing in Neurons
B. Gleaning Information fr om the Brain
C. Content-Addressable Memory

[Comp-neuro] Invitation to eSMCs Summer School on Embodiment and Morphological Computation

eSMCs Summer School 2013 on Embodiment and Morphological Computation, September 22-28, 2013

summerschool2013.esmcs.eu

Invitation
We cordially invite you to the summer school “Embodiment and Morphological Computation”, which will take place at the University of Zurich, Switzerland in September 2013. The school will give a comprehensive overview of the state-of-the art in the fields of embodied cognition, morphological computation and neuronal mechanisms of enactive cognition. In addition it aims at connecting renowned researchers in the field with students and post-docs who are interested in the corresponding subjects.

The school will be the third in a series of summer schools funded and organized by the EU FP-7 project "Extending sensorimotor contingencies to cognition - eSMCs" (esmcs.eu). This year the school is jointly organized by the Artificial Intelligence Lab at the University of Zurich (www.ailab.ch) and the Dept. of Neurophysiology at the UKE Hamburg (uke.de/neurophysiology).

Content

The five-day school will be structured around the following themes:

1. embodiment and morphology

2. active perception and sensorimotor contingencies

3. information theory

4. neuroscience of motor cognition

5. embodiment and awareness

The school will comprise keynote lectures in the mornings and workshops in the afternoons, which serve for in-depth discussions of topics from the keynote lectures. The workshops will feature hands-on tutorials where students will have the opportunity to build their own robots using the robotic toolkit EmbedIT (embed-it.ch/) to study the impact of morphology on locomotion behavior.

Participation in the school will be free of charge, but participants will have to cover their own expenses.

Confirmed Speakers:

Auke Iijspeert, EPFL Lausanne, Switzerland.

Josh Bongard, University of Vermont, USA

Fumiya Ida, ETH Zurich, Switzerland

Marek McGann, Mary Immaculate College, Limerick, Ireland

Wolfgang Prinz, University of Münster, Germany

Daniel Polani, University of Hertfordshire, UK

Rajesh Rao, University of Washington, USA

Ricarda Schubotz, University of Münster, Germany

Angelo Maravita, University of Milano-Bicocca, Italy

Catherine Tallon-Baudry, École Normale Supérieure, Paris, France

Herbert Peremans, University of Antwerp, Belgium

Rolf Pfeifer, University of Zurich, Switzerland

Helmut Hauser, University of Zurich, Switzerland

Important dates:

- Application deadline: 31.7.2013

- Notification of acceptance: 9.8.2013

- Summer school: 22.9.-28.9.2013

How to apply:

The school is open to 50 PhD students and post-docs who are working on the themes addressed. Interested participants shall submit written information on their scientific background, projects involved, and motivation to attend. Admission will be on a competitive basis.

Applications should be sent via email to esmcs-summerschool@ifi.uzh.ch. Please state on a single page (11pt font):

- Your scientific background and degree

- Your motivation to come to this school

- The topic of your thesis

- Any prior knowledge in the field

Participation in the school is free.

Further Information:
All relevant information can be found at summerschool2013.esmcs.eu. For further questions, please don't hesitate to contact us (esmcs-summerschool@ifi.uzh.ch). Previous schools in this series were "The future of the embodied mind", held 2011 in San Sebastián, Spain (summerschool2011.esmcs.eu/), and a conjunction with the "Barcelona cognition, brain and technology summer school" in 2012 (bcbt.upf.edu/bcbt11/).

On behalf of the eSMCs consortium,

Rolf Pfeifer, AI-Lab, University of Zurich

Andreas Engel, Dept. of Neurophysiology, UKE Hamburg

--   Nico Schmidt, Ph.D. Student  Artificial Intelligence Laboratory  Dept. of Informatics, University of Zurich  Andreasstr. 15, CH-8050 Zurich, Switzerland  Phone: +41 (0) 44 63 54563  Fax:   +41 (0) 44 63 54507  Email: nico.schmidt@uzh.ch  Web: http://www.ifi.uzh.ch/ailab/nschmidt

[Comp-neuro] Funded PHD in VR/neuroscience at Sussex

Applications are invited for a fully-funded 3.5 year PhD studentship funded by the European Research Council to join a team within the Psychiatry group, the Brighton and Sussex Medical School (BSMS) and the Sackler Centre for Consciousness Science, University of Sussex. The aims of the research project are to examine the effects of heart-timing on the processing of fear and threat stimuli and the implications for human-machine interaction. 

The studentship will be based at BSMS Psychiatry and the Sackler Centre for Consciousness Science, University of Sussex. Prof Hugo Critchley and Prof Anil Seth will supervise. The studentship will suit candidates with a computer science or similar strong technical background with a keen interest in cognitive neuroscience and related disciplines. It will involve implementation of heart-timing manipulations of stimuli in virtual and augmented reality (VR/AR) settings to explore effects on fear processing, fear-learning (conditioning) and safety-learning (extinction).The student will work within a team of basic and clinical neuroscientists focusing on mind-brain-body interactions using integrative approaches including behavioural psychophysiology and brain imaging. The project offers a range of training opportunities through which the student will be able to acquire skills in cognitive and behavioural neuroscience, autonomic psychophysiology and related areas of computational science, psychology and neurobiology. This will provide the student with critical skills and a depth and breadth of experience to make them a highly competitive candidate for a postdoctoral research position.  For more about the 'Cardiac Control of Fear in the Brain' project see http://www.bsms.ac.uk/about/news/fear-controlling-research-win-european-grant/. More about the Sackler Centre for Consciousness Science is here http://www.sussex.ac.uk/sackler/.  

More details are available at http://www.findaphd.com/search/ProjectDetails.aspx?PJID=45836&LID=207

The studentship is limited to UK/EU applications.

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

Anil K. Seth, D.Phil.

Professor of Cognitive and Computational Neuroscience

Co-Director, Sackler Centre for Consciousness Science

University of Sussex

www.anilseth.com

a.k.seth@sussex.ac.uk