Wednesday, October 31, 2012
We announce the release of MOOSE 2.0.0, "Kalakand"*. Debian packages and
tarballs can be downloaded from
The latest code is in the usual SourceForge repository at
This is the first full release of MOOSE. In this release the MOOSE team has
been conservative about features, and has instead focused on the basics:
a decent GUI, documentation, basic numerics, and a cleaner install
In this release you can load and run NEUROML (compartmental neuronal models
and networks) from the GUI. You can also load, run, and save chemical
models in the Kinetikit (kkit.g) format. There are demo models for each of
There are also a couple of standalone demos, most importantly the Squid demo
for the original Hodgkin-Huxley model. This is based on the GENESIS demo
same name and is an excellent teaching tool.
The scripting language is now Python. The GUI is written in this, and we
have production simulations in Python.
Behind the scenes we have set in place a more structured development process
with a strong test framework. We invite you to look at the roadmap and
indicate what developments you would like best.
We aim to have a much shorter and incremental release cycle from now.
the build process is now easier with the debian packaging, so it will be
simpler to grab the latest source code from SourceForge if you want to
new features/bugs hot off the keyboard. Along the way we will fold in the
ports to other OSs, depending on what else is prioritized in the roadmap.
*Kalakand is an Indian milk-based sweet. The naming scheme is from an
tradition to name things after Indian sweets. The order is alphabetical
sequence of most Indian alphabets.
The MOOSE team:
Niraj Dudani Neuronal solver, parallelization
Subhasis Ray Python interface, XML standards
G.V.HarshaRani Web page design and User Interface
Chaitanya.H Visualization and User Interface
Aditya Gilra NeuroML reader and .deb packaging
Upinder S. Bhalla Primary Architect, Chemical kinetic solvers
Comp-neuro mailing list
(http://ergodic.ugr.es/neurofisica/neurofisica.html) within the Institute
"Carlos I" for Theoretical and Computatinal Physics (http://ic1.ugr.es/)
is looking for suitable candidates interested to apply for the Spanish
"Ramon y Cajal" program to incorporate researchers in the Spanish research
institutions including the universities. In some sense it is similar to a
tenure track position program (assistant/associate professor level). In
case of success the candidate will be incorporated in our group at the
Granada University (we are looking candidates with research topics in the
frontier of biology, physics, neuroscience, biophysics, computational
etc. Experiementalists are also welcome).
The "Ramon y Cajal" program is very competitive so the suitable
candidates must have a strong scientific background with a large record of
high impact factor publications, and to have more than 4 year of
The application procedure started last October 29th 2012 and will finish
the next November 27th 2012
The gross salary per year for the successful candidate will be 33.720 €.
All information is included in this pdf:
http://boe.es/boe/dias/2012/10/24/pdfs/BOE-A-2012-13213.pdf (sorry it is
An official Spanish government web page in English follows
Only are eligible candidates that have obtained their Ph.D. after 01/01/2002
For people interested in a two-year postdoc in our lab there is also an
additional postdoc contract program "Juan de la Cierva" with deadline for
candidate application the next November 20th 2012. Please visit the link
below for further information:
Granada is a very pleasant city to live, with a well know university and
with many cultural events along the year. It is also one of the cheapest
cities to live in Spain. There also very interesting places to visit in
surroundings of the city including the highest mountains in Spain (the
Sierra Nevada mountain range) with a well known sky resort (which is
further south across Europe) very near to the city. Also Granada is just
30 miles far from the Mediterranean sea with very beautiful and pleasant
Concerning our group we constitute a theoretical and computational
neuroscience group at University of Granada. The group is formed for an
small number of researchers experts in theoretical physics, statistical
physics, neurophysics and computational neuroscience. Most of our recent
work is focused in nonequilibrium statistical mechanics of neural
computational neuroscience, biophysics, theoretical biology, complex
networks applied to neuroscience, stochastic resonance phenomena in
biological systems, etc. For more details visit the page
Comp-neuro mailing list
A postdoctoral position is available at the Department of Developmental Neurophysiology, Center for Molecular Neurobiology Hamburg, Germany.
Our group investigates the synchronized patterns of electrical activity in the immature brain, their relevance for development of cognitive and behavioral abilities and their impairment associated with neurological disorders like perinatal ischemia or schizophrenia (www.zmnh.uni-hamburg.de/zmnh/groups/hanganu/hanganu).
The multidisciplinary project encompasses in vivo and in vitro electrophysiology, molecular biology, optogenetics, behavioral and pharmacological investigation. The position offers an excellent opportunity to perform highly collaborative research.
Qualified candidates should have a strong background in mathematics/physics background, preferentially with experience in signal processing and/or new methodology for neural data analysis, as well as good programming experience. Experience in experimental neuroscience or technology development may be relevant. Good communication skills are mandatory. The position is available from January 2013 or later and will run initially for 2-3 years.
The salary will be on the level of the German public service research salary (E13-14).
Applications including (i) CV, (ii) a brief statement of expertise and interests, (iii) academic achievements and list of publications and (iv) 2 letters of reference should be sent to Prof. Dr. Ileana Hanganu-Opatz by email (firstname.lastname@example.org).
Incomplete applications will not be considered.
-- --------------------------------------------------------------------- Prof. Dr. Ileana Hanganu-Opatz, PhD University of Hamburg University Medical Center Hamburg-Eppendorf Center for Molecular Neurobiology (ZMNH) Falkenried 94 20251 Hamburg Germany Phone: 040 - 7410 58966 Fax: 040 - 7410 58925 Email: email@example.com Website: www.zmnh.uni-hamburg.de/zmnh/groups/hanganu/hanganu
Pflichtangaben gemäß Gesetz über elektronische Handelsregister und Genossenschaftsregister sowie das Unternehmensregister (EHUG):
Körperschaft des öffentlichen Rechts
Prof. Dr. med. Martin Zeitz (Vorsitzender)
Dr. Alexander Kirstein
Prof. Dr. Dr. Uwe Koch-Gromus
Tuesday, October 30, 2012
Please consider to contribute to and/or forward to the appropriate groups the
following opportunity to submit and publish original scientific results to ICAS
The submission deadline is extended to November 12, 2012.
Authors of selected papers will be invited to submit extended article versions to
one of the IARIA Journals: http://www.iariajournals.org
============== ICAS 2013 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
ICAS 2013, The Ninth International Conference on Autonomic and Autonomous Systems
March 24 - 29, 2013 - Lisbon, Portugal
General page: http://www.iaria.org/conferences2013/ICAS13.html
Call for Papers: http://www.iaria.org/conferences2013/CfPICAS13.html
- regular papers
- short papers (work in progress)
Submission page: http://www.iaria.org/conferences2013/SubmitICAS13.html
Submission deadline: November 12, 2012
Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals:
Print proceedings will be available via Curran Associates, Inc.:
Articles will be archived in the free access ThinkMind Digital Library:
Please note the Poster and Work in Progress options.
The topics suggested by the conference can be discussed in term of concepts, state
of the art, research, standards, implementations, running experiments,
applications, and industrial case studies. Authors are invited to submit complete
unpublished papers, which are not under review in any other conference or journal
in the following, but not limited to, topic areas.
All tracks are open to both research and industry contributions, in terms of
Regular papers, Posters, Work in progress, Technical/marketing/business
presentations, Demos, Tutorials, and Panels.
Before submission, please check and conform with the Editorial rules:
ICAS 2013 Topics (topics and submission details: see CfP on the site)
SYSAT: Advances in system automation
Methods, techniques ant tools for automation features; Methodologies for automating
of design systems; Industrial automation for production chains; Nonlinear
optimization and automation control; Nonlinearities and system stabilization;
Automation in safety systems; Structured uncertainty; Open and closed automation
loops; Test systems automation; Theory on systems robustness; Fault-tolerant
AUTSY: Theory and Practice of Autonomous Systems
Design, implementation and deployment of autonomous systems; Frameworks and
architectures for component and system autonomy; Design methodologies for
autonomous systems; Composing autonomous systems; Formalisms and languages for
autonomous systems; Logics and paradigms for autonomous systems; Ambient and
real-time paradigms for autonomous systems; Delegation and trust in autonomous
systems; Centralized and distributed autonomous systems; Collocation and
interaction between autonomous and non-autonomous systems; Dependability in
autonomous systems; Survivability and recovery in autonomous systems; Monitoring
and control in autonomous systems; Performance and security in autonomous systems;
Management of autonomous systems; Testing autonomous systems; Maintainability of
AWARE: Design and Deployment of Context-awareness Networks, Services and
Context-aware fundamental concepts, mechanisms, and applications; Modeling
context-aware systems; Specification and implementation of awareness behavioral
contexts; Development and deployment of large-scale context-aware systems and
subsystems; User awareness requirements and design techniques for interfaces and
systems; Methodologies, metrics, tools, and experiments for specifying
context-aware systems; Tools evaluations, Experiment evaluations
AUTONOMIC: Autonomic Computing: Design and Management of Self-behavioral Networks
Theory, architectures, frameworks and practice of self-adaptive management
mechanisms; Modeling and techniques for specifying self-ilities; Self-stabilization
and dynamic stability criteria and mechanisms; Tools, languages and platforms for
designing self-driven systems; Autonomic computing and GRID networking; Autonomic
computing and proactive computing for autonomous systems; Practices, criteria and
methods to implement, test, and evaluate industrial autonomic systems; Experiences
with autonomic computing systems
CLOUD: Cloud computing and Virtualization
Hardware-as-a-service; Software-as-a-service [SaaS applicaitions];
Platform-as-service; On-demand computing models; Cloud Computing programming and
application development; Scalability, discovery of services and data in Cloud
computing infrastructures; Privacy, security, ownership and reliability issues;
Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud
computing; Load balancing; Application streaming; Cloud SLAs, business models and
pricing policies; Custom platforms; Large-scale compute infrastructures; Managing
applications in the clouds; Data centers; Process in the clouds; Content and
service distribution in Cloud computing infrastructures; Multiple applications can
run on one computer (virtualization a la VMWare); Grid computing (multiple
computers can be used to run one application); Virtualization platforms; Open
virtualization format; Cloud-computing vendor governance and regulatory compliance
MCMAC: Monitoring, Control, and Management of Autonomous Self-aware and
Agent-based autonomous systems; Policy-driven self-awareness mechanisms and their
applicability in autonomic systems; Autonomy in GRID networking and utility
computing; Studies on autonomous industrial applications, services, and their
developing environment; Prototypes, experimental systems, tools for autonomous
systems, GRID middleware
CASES: Automation in specialized mobile environments
Theory, frameworks, mechanisms and case studies for satellite systems;
Spatial/temporal constraints in satellites systems; Trajectory corrections, speed,
and path accuracy in satellite systems; Mechanisms and case studies for nomadic
code systems; Platforms for mobile agents and active mobile code; Performance in
nomadic code systems; Case studies systems for mobile robot systems; Guidance in an
a priori unknown environment; Coaching/learning techniques; Pose maintenance, and
mapping; Sensing for autonomous vehicles; Planning for autonomous vehicles; Mobile
networks, Ad hoc networks and self-reconfigurable networks
ALCOC: Algorithms and theory for control and computation
Control theory and specific characteristics; Types of computation theories; Tools
for computation and control; Algorithms and data structures; Special algorithmic
techniques; Algorithmic applications; Domain case studies; Technologies case
studies for computation and control; Application-aware networking
MODEL: Modeling, virtualization, any-on-demand, MDA, SOA
Modeling techniques, tools, methodologies, languages; Model-driven architectures
(MDA); Service-oriented architectures (SOA); Utility computing frameworks and
fundamentals; Enabled applications through virtualization; Small-scale
virtualization methodologies and techniques; Resource containers, physical resource
multiplexing, and segmentation; Large-scale virtualization methodologies and
techniques; Management of virtualized systems; Platforms, tools, environments, and
case studies; Making virtualization real; On-demand utilities; Adaptive enterprise;
Managing utility-based systems; Development environments, tools, prototypes
SELF: Self-adaptability and self-management of context-aware systems
Novel approaches to modeling and representing context adaptability,
self-adaptability, and self-manageability; Models of computation for
self-management context-aware systems; Use of MDA/MDD (Model Driven Architecture /
Model Driven Development) for context-aware systems; Design methods for
self-adaptable context-aware systems; Applications of advanced modeling languages
to context self-adaptability; Methods for managing adding context to existing
systems and context-conflict free systems; Architectures and middleware models for
self-adaptable context-aware systems; Models of different adaptation and
self-adaptation mechanisms (component-based adaptation approach, aspect oriented
approach, etc.); System stability in the presence of context inconsistency;
Learning and self-adaptability of context-aware systems; Business considerations
and organizational modeling of self-adaptable context-aware systems; Performance
evaluation of self-adaptable context-aware systems; Scalability of self-adaptable
KUI: Knowledge-based user interface
Evolving intelligent user interface for WWW; User interface design in autonomic
systems; Adaptive interfaces in a knowledge-based design; Knowledge-based support
for the user interface design process; Built-in knowledge in adaptive user
interfaces; Requirements for interface knowledge representation; Levels for
knowledge-based user interface; User interface knowledge on the dynamic behavior;
Support techniques for knowledge-based user interfaces; Intelligent user interface
for real-time systems; Planning-based control of interface animation; Model-based
user interface design; Knowledge-based user interface migration; Automated user
interface requirements discovery for scientific computing; Knowledge-based user
interface management systems; 3D User interface design; Task-oriented knowledge
user interfaces; User-interfaces in a domestic environment; Centralised control in
the home; User-interfaces for the elderly or disabled; User-interfaces for the
visually, aurally, or mobility impaired; Interfacing with ambient intelligence
systems; Assisted living interfaces; Interfaces for security/alarm systems
AMMO: Adaptive management and mobility
QoE and adaptation in mobile environments; Content marking and management (i.e.
MPEG21); Adaptive coding (H.265, FEC schemes, etc.. ); Admission control resource
allocation algorithms; Monitoring and feedback systems; Link adaptation mechanisms;
Cross layer approaches; Adaptation protocols (with IMS and NGNs scenarios); QoE vs
NQoS mapping systems; Congestion control mechanisms; Fairness issues (fair sharing,
bandwidth allocation...); Optimization/management mechanisms (MOO, fuzzy logic,
machine learning, etc.)
Comp-neuro mailing list
We are delighted to announce that the upcoming 11th International Conference on Vibration Problems, to be held in Lisbon, Portugal during 9-12 September, 2013 is now open to abstract submissions. You are invited to submit your original and unpublished research work so as to be included for its presentation in the conference in the Mini-Symposium entitled "Neural-Oscillation and Cognition" within ICOVP-2013. Please register in www.icovp.com and follow the instructions on the web.
All accepted full-length papers will be published in ICOVP-2013 Electronic Proceedings. Some of the best selected papers will be published in special sections of a premier journal "Journal of Sound and Vibration" (JSV) printed by Elsevier.
Selected best papers of Mini-Symposium-11(Neural-Oscillation and Cognition)will be published in a special issue of Journal of Integrative Neuroscience(JIN)- an Interdisciplinary Journal published by Imperial College Press having an Impact Factor 1.26 with Prof. Dr. Roman R. Poznanski as the Editor-in- Chief.
The scope of this Mini-Symposium is as follows:
The major problem of cognitive neuroscience is to understand how our behavioural processes are related to the workings of brain and nervous systems. To understand the subjective mental processes in a meaningful and quantitative way a new level of description is needed. Of late a trend has emerged to study different forms of cognition in terms of their neural-oscillation correlates. Questions have been raised whether the combined and synchronous actions of nerve cells, glial cells and their associated molecules can explain the underlying mechanism of cognition.
Although over the last decade some insight has been gained, especially with advances in brain imaging, a unified interpretation, however, is very much lacking. It is to be emphasized that experimental and numerical works are mandatory for any scientific progress but it can reveal its full value only when it is embedded within a conceptually sound theoretical frame work. The aim of the session is to explore this possibility.
The areas include, but not limited to:
Electromagnetic-neurophysiological models of cognition, Neural correlates of vision, perception, attention, memory, intention, recognition, decision making, linguistics, reasoning, emotion,consciousness, Realistic neural network dynamics, Quantum mechanical models of cognition, Brain imaging, EEG,MEG, Neural computing, Cognitive function disorder
15 February 2013: notification of acceptance
31 May 2013: deadline for full paper submission
We thank you for helping us attract quality papers and look forward to working together to make it a successful conference.
For any further details and clarification, please visit the website:
With kind regards
Dr Kanad Ray, JK Lakshmipat University (JKLU) Jaipur, India
Organizer of MS:11(Neural Oscillation and Cognition)
Monday, October 29, 2012
The 9th International Workshop on Multimodal Interfaces; July 15th - August 9th 2013; Lisbon (Portugal)
After the previous workshops, held in Mons (Belgium), Dubrovnik (Croatia), Istanbul (Turkey), Paris (France), Genova (Switzerland), Amsterdam (The Netherlands), Plzen (Czech Republic) and Metz (France) which had an impressive success record and had proven the viability and usefulness of this original workshop, the 9th edition will take place in the New University of Lisbon (Portugal). eNTERFACE workshops aim at establishing a tradition of collaborative, localized research and development work by gathering, in a single place, a team of senior project leaders in multimodal interfaces, researchers, and (undergraduate) students, to work on a pre-specified list of challenges, for 4 weeks. Participants are organized in teams, attached to specific projects, working on free software. Each week will typically consist of working sessions by the teams on their respective projects plus a tutorial given by an invited senior researcher and a presentation of the results achieved by each project group. The last week will be devoted to writing an article on the results obtained by the teams plus a big session where all the groups will present their achievements. Proceedings are expected to be published by Springer, IFIP AICT series (indexed in Web of Science).
The eNTERFACE'13 committee now invites researchers to submit project proposals that will be evaluated by the scientific committee. All the information asked to submit a project is available on the website of the workshop (http://eventos.fct.unl.pt/enterface13). The proposals should contain a full description of the project's objectives, required hardwares/softwares and relevant literatures. When submitting a project proposal, a list of potential candidates can be proposed by the authors. Although not exhaustive, the submitted projects can cover one or several of the topics listed below. A special focus of this year is on assistive, rehabilitation and educational technologies.
- Presence and telepresence
- Teleoperation and telerobotics
- Assistive and rehabilitation technologies
- Human-robot and human-environments interactions in smart environments
- Game and serious game applications
- Multimodal interfaces for collaborative systems
- Multimodal signal analysis and synthesis
- Signal-level and meaning-level data fusion
- Usability in ubiquitous computing
- Intuitive interfaces and personalized systems in real and virtual environments
- User, context and semantics aware self-learning and adapting systems
- Applications of multimodal interfaces
* January 12th, 2013: Reception of a 1 page Notification of Interest, with a summary of project goals, work-packages and deliverables;
* February 2nd, 2013: Reception of the complete project proposal in the format provided by the Author's kit;
* February 17th, 2013: Notification of project acceptance; publication of the Call for Participation;
* April 1st, 2013: Closing of the Call for Participation;
* April 15th, 2013: Publication of teams;
* July 15th – August 9th, 2013: eNTERFACE'13 Workshop.
Website of the workshop: http://eventos.fct.unl.pt/enterface13
Proposals should be submitted in PDF format to: firstname.lastname@example.org
The organizing committee of eNTERFACE'13 is looking forward for your submissions.
Please add this to the mailing list.
Postdoctoral Researcher in Computational Neuroscience
The laboratories of Dr. Patrick Hof (Department of Neuroscience, Mount Sinai School of Medicine, New York, NY) and Dr. Christina Weaver (Department of Mathematics, Franklin & Marshall College, Lancaster, PA) seek a highly motivated postdoctoral fellow to develop computational models of cortical neurons, and new methods to analyze these models. The NIH funded research explores interactions between morphological and physiological changes in the aging primate cortex. The postdoctoral fellow will be based at Mount Sinai's Department of Neuroscience and Computational Neurobiology and Imaging Center (CNIC) with Dr. Hof, but will collaborate closely with Dr. Weaver and with Dr. Jennifer Luebke (Boston University School of Medicine, Boston, MA). The candidate will also have the opportunity to learn experimental techniques including confocal imaging and in vitro electrophysiology. Further information on the Computational Neurobiology and Imaging Center can be found at http://www.mssm.edu/cnic .
Candidates should have, or be near finishing, a Ph.D. in math, physics or computer science with a strong demonstrated interest in neuroscience, or a Ph.D. in neuroscience with a strong computational background. Experience with computer programming is essential. Experience with NEURON compartmental modeling software and automated parameter optimization is preferred. Strong communication skills in English are required. The position is available immediately, for an initial two-year appointment (renewable). Salary will be commensurate with experience, according to the NIH NRSA pay scale.
Applications received by December 15, 2012 will receive full consideration. Interested applicants should send their CV, a brief statement of current and future research interests, and the contact information of three references to email@example.com.
Friday, October 26, 2012
[Comp-neuro] Program in Neural Computation at the Center for the Neural Basis of Cognition in Pittsburgh
Computational neuroscience brings many ideas and tools associated with computation to the study of the nervous system. Major influences have come from the success of biophysical models of neural activity, the enduring appeal of the brain-as-computer metaphor, and the increasing prominence of statistical and machine learning methods throughout science. Here in Pittsburgh we have an exceptionally large and vibrant community of neuroscientists who develop and/or apply cutting-edge computational methods in their work. We encourage qualified and motivated students to apply to the graduate Program in Neural Computation sponsored by the Center for the Neural Basis of Cognition. The Program is jointly run through Carnegie Mellon University and the University of Pittsburgh, and seeks to train high caliber PhD students in the growing field of computational neuroscience. Applicants seeking to merge experimental and computational training are especially encouraged to apply.
Please see the following for more information
APPLICATION DEADLINE: Dec 1, 2012. http://www.cnbc.cmu.edu/pnc
List of participating faculty:
Those whose expertise is primarily computational include:
Brent Doiron (Pitt, Mathematics)
Bill Eddy (CMU, Statistics and Machine Learning)
Bard Ermentrout (Pitt, Mathematics)
Chris Genovese (CMU, Statistics)
Satish Iyengar (Pitt, Statistics)
Rob Kass (CMU, CNBC, Statistics, and Machine Learning)
Pat Loughlin (Pitt, Bioengineering)
Tom Mitchell (CMU, Machine Learning)
Paul Munro (Pitt, Information Science and Telecommunications)
David Plaut (CMU, CNBC and Psychology)
Jonathan Rubin (Pitt, Mathematics)
Cosma Shalizi (CMU, Statistics)
Dave Touretzky (CMU, Computer Science)
Valérie Ventura (CMU, Statistics)
Byron Yu (CMU, Biomedical and Electrical and Computer Engineering)
Additional faculty whose expertise is both computational and experimental include:
John Anderson (CMU, Psychology and Computer Science)
Aaron Batista (Pitt, Bioengineering)
Steven Chase (CMU, CNBC and Biomedical Engineering)
Marlene Cohen (Pitt, Neuroscience)
Neeraj Gandhi (Pitt, Otolaryngology)
Charles Kemp (CMU, Psychology)
Seong-Gi Kim (Pitt, Radiology)
Tai Sing Lee (CMU, CNBC and Computer Science)
Anne-Marie Oswald (Pitt, Neuroscience)
Lynn Reder (CMU, Psychology)
Mark Redfern (Pitt, Bioengineering)
Andrew Schwartz (Pitt, Neurobiology)
Matthew Smith (Pitt, Ophthalmology)
Daniel Simons (Pitt, Neurobiology)
Michael Tarr (CMU, CNBC and Psychology)
Robert Turner (Pitt, Neurobiology)
Nathan Urban (CMU, CNBC and Biology)
Wei Wang (Pitt, Physical Medicine and Rehabilitation)
Douglas Weber (Pitt, Physical Medicine and Rehabilitation)
Brent Doiron, PhD
Department of Mathematics
University of Pittsburgh
Pittsburgh, PA, 15260
[Comp-neuro] CALL FOR PAPERS - International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)
International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)
Friday March 22, 2013, Grenoble, France
held in conjunction with DATE'13 conference
Biological neural systems are well known for their robust and power-efficient operation in highly noisy environments.
Biological circuits are made up of low-precision, unreliable and massively parallel neural elements with highly reconfigurable and plastic connections.
Two of the most interesting properties of the neural systems are its self-organizing capabilities and its template architecture.
Recent research in biologically-plausible neural networks has demonstrated interesting principles about learning and neural computation. Understanding and applying these principles to practical problems is only possible if large-scale neural simulators or circuits can be constructed. This workshop will outline key modelling abstractions for the brain and focus on recent neural network models. Aspects of neuronal processing and computational issues related to modelling these processes will be discussed. Hardware and software solutions readily usable by neuroscientists and computer scientists and efficient enough to construct very large networks comparable to brain networks will be presented.
**Target Audience and Workshop Format**
The workshop is designed to attract both newcomers to neuromorphic computing, as well as neuromorphic researchers who wish to interact with the DATE community to stimulate new ideas, topics and collaborations. Since this is a hot area but one that is probably new to a large segment of the DATE community, half of the workshop will be devoted to a comprehensive introduction to Neuromorphic and Brain-Based Computing, where the audience will be exposed to basic definitions, key concepts, abstractions, design flows, and design constraints; also some highly visible research projects will be presented as exemplars to provide an overview of existing and emerging solutions in this domain. The other half of the event will create a forum for interactive discussion and exchange of ideas and experiences between researchers through posters and demonstrations, with the goal of highlighting details on applicability, performance, and strengths of current solutions. Our aim is for attendees to learn about emerging Neuromorphic and Brain-Based computing techniques, highlight publicly available modelling and simulation tools, and view directions for longer term research.
**Topics of interest**
Authors are invited to submit original unpublished works on topics from a wide range of Neuromorphic and Brain-Based computing areas, including but not limited to:
- Formal models
- Hardware architectures
- Software tools
- Systems and applications
- Simulation Infrastructures
Submissions are invited in the form of 2-page extended abstract describing the novelties and advantages of the work.
Submissions must be done through Easychair at https://www.easychair.org/conferences/?conf=neucomp2013
All submissions will be evaluated with regard to their suitability for the workshop, originality and technical soundness. Selected submissions will be accepted for oral presentation and/or poster/interactive presentations. This workshop does not require blind submissions. Informal proceedings with accepted papers will be made available at the workshop as detailed below.
- Submission deadline November 26th, 2012
- Notification of acceptance December 10th, 2012
- Final program December 15th, 2012
**Informal Workshop Digest**
NeuComp 2013 will distribute an informal workshop digest to all workshop participants. NeuComp 2013 presenters are encouraged to submit papers for inclusion in this informal workshop digest.
Note that since the informal workshop digest is only distributed to workshop participants (and is not archived as part of DATE or ACM/IEEE digital libraries), authors are free to submit their work to other archival conferences and journals.
The workshop will combine oral and interactive sessions (posters and demonstrations) together with invited talks representing major neuromorphic research projects (e.g., BrainScaleS, NeuCod, SpiNNaker, SyNAPSE). The event will be designed to be highly interactive, with ample time for discussion and cross-disciplinary engagement.
**Confirmed Invited speakers**
- Claude Berrou (Telecom Bretagne, FR)
- Daniel Hammerstrom (DARPA and Portland State University, USA)
- Steve Furber (Manchester University, UK)
- Jeff Krichmar (UC Irvine, USA)
- Karlheinz Meier (Heidelberg University, GER)
- Emre Neftci (UCSD, USA)
- Narayan Srinivasa (HRL, USA)
**Technical Program Committee**
Jeff Krichmar University of California – Irvine, Irvine, USA (Technical Program Co-Chair)
Philippe Coussy Université de Bretagne-Sud/Lab-STICC, FR (Technical Program Co-chair)
Angelo Arleo Université Pierre et Marie Curie, FR
Claude Berrou Telecom Bretagne/Lab-STICC, FR
Romain Brette ENS Paris, FR
Gert Cauwenbergh UCSD, USA
Jorg Conradt TU Munich, GER
Nikil Dutt UC Irvine, USA
Steve Furber Manchester University, UK
Karlheinz Meier Heidelberg University, GER
Vijaykrishnan Narayanan Pennsylvania State University, USA
Narayan Srinivasa HRL, USA
Massimiliano Versace Boston University, USA
Philippe Coussy, Université de Bretagne-Sud/Lab-STICC, Lorient, FR
Nikil Dutt, University of California – Irvine, Irvine, CA USA
If you have any questions about paper submission or the workshop, please contact firstname.lastname@example.org and email@example.com.
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
Comp-neuro mailing list
The goal of the group is to develop models for human perception, learning and decision making using Bayesian inference. The specific project is to model the neural mechanisms of value-based decision making. This project is in collaboration with the group of John O'Doherty at Caltech (http://www.odohertylab.org/). An emphasis will be placed on linking the theoretical modeling work at Leipzig to experimental findings based on neuroimaging data acquired at Caltech. We expect strong interactions between both groups, supported by a generous travel budget for visits between the MPI-CBS and Caltech groups.
The research will be conducted at the MPI-CBS in Leipzig, Germany, an internationally leading centre for cognitive and imaging neuroscience. For theoretical work, the institute is equipped with high-performance computing facilities. For experimental work, the institute is equipped with a 7.0 T MRI scanner, two 3.0 MRI scanners, a 306 channels MEG system, a TMS and several EEG systems. All facilities are supported by experienced IT and physics staff.
The candidate must have a PhD (or equivalent) in computational neuroscience, physics, or a related field. Essential skills comprise prior experience in computational neuroscience or decision making. Experience in modelling of neuroimaging data and matlab programming expertise would be advantageous.
The position is for three years, starting at the candidate's earliest convenience. Salary is dependent on experience and according to German Public service regulations.
Interested candidates are encouraged to get in touch at their earliest convenience. Applications are considered until 30th of November 2012 but reviewing of the applications will start immediately.
For questions about this position please contact Dr. Stefan Kiebel (kiebel at cbs.mpg.de).
The following documents should be included in the application in a single PDF-file and sent by email to dynamics at cbs.mpg.de: A cover letter including a brief description of personal qualifications and future research interests, curriculum vitae, and contact details of two personal references.
We seek to increase the number of women in those areas where they are under-represented and therefore explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply.
Dr. Stefan Kiebel
Max Planck Institute for
Human Cognitive and Brain Sciences
Phone: ++49 341/9940-2435
Fax: ++49 341/9940-2221
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Computational Neuroscience - Artificial recognition of sounds in complex scenes from auditory neuronal activity
From £35622 - £41567 depending on circumstance per annum
Applications are invited for the above post to work with Dr Chris Sumner and Professor S Coombes on a Marie Curie Initial Training Network funded project in Computational Neuroscience to underpin work at Nottingham on the coding of complex sound scenes in the auditory system. The successful candidate will register for a 3 year PhD in the School of Mathematical Sciences.
This is an exciting opportunity to contribute to a joint venture between Mathematical Sciences and the MRC Institute of Hearing Research, on an EU funded project in Neural Engineering with a focus on theoretical work to understand neural computation. The MRC Institute of Hearing Research is a world leading research institute conducting basic and applied work in hearing (www.ihr.mrc.ac.uk). This project will develop algorithms for recognising complex sounds (e.g. speech, music) and mixtures of sounds from neural activity in the brain. It will use computer models of the auditory system, recordings of brain activity, pattern recognition and machine learning techniques to help design better recognition algorithms for recognising sounds from neural activity. The developed algorithms will be used to probe how the brain itself separates sound sources. Applications are encouraged from highly numerate students with degrees in engineering, maths and physics.
The fellowship includes a flexible secondment, most likely in the second year, working with Dr Aristodemos Pnevmatikakis at Athens Information Technology in Greece. It also includes a three-month visit to Universitat Politècnica de Catalunya in Spain to work with Professor Jordi Garcia-Ojalvo. Candidates must therefore be able to move between countries as necessary.
Candidates must be in the first 4 years of their research careers and not been awarded a doctorate degree. Preference will be given to candidates with experience in mathematical and computational neuroscience. As part of our commitment to promoting diversity we encourage applications from women. To comply with the Marie Curie Actions rule for mobility, applicants must not have resided, worked, or studied in the UK for more than 12 months in the 3 years prior to Sept 2012.
This full-time post is available from the 1st January 2013 or as soon as possible thereafter and will be offered on a fixed-term contract for a period of 36 months.
Informal enquiries may be addressed to Dr Chris Sumner (firstname.lastname@example.org), Prof S Coombes (email@example.com), or Dr Aristodemos Pnevmatikakis (firstname.lastname@example.org). Please note that applications sent directly to these email addresses will not be accepted. For information about the School of Mathematical Sciences, one of the most active in the UK, see: http://www.nottingham.ac.uk/mathematics/index.aspx
Applications will be received online at https://my.nottingham.ac.uk/pgapps/welcome/. Please indicate clearly in your application that you are applying for the Early Stage Researcher position in Computational Neuroscience - Artificial recognition of sounds in complex scenes from auditory neuronal activity.
Closing date: 30 November 2012.
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theta (and other band) oscillations coordinate brain regions for
Functional magnetic resonance imaging (fMRI) research in our laboratory
has found that human hippocampal activity tracks spatial-goal
information during navigation (see Howard et al., 2011, for coverage of
the SfN poster by Nature click here). To understand the role of theta
oscillations we will build on recent advances in magnetoencephalography
(MEG) analysis and virtual navigation (Cornwell et al., 2008). Time
permitting, we will also explore navigation with fMRI studies.
The post-holder should have some experience with MEG and have an
interest in how our brain processes spatial information and recalls the
past. Experience in Matlab and Python programming would also be
The research is funded by the Wellcome Trust and is a collaboration
between Dr Hugo Spiers and Prof Emrah Duzel. Collaborators on the
project are Prof Peter Dayan and Dr William Penny, who will provide
input into the project design and analysis.
The post-holder will be based in the UCL Institute of Behavioural
Neuroscience and collect neuroimaging data at the Wellcome Trust Centre
for Neuroimaging at UCL.
For more information please e-mail Dr Spiers at email@example.com
To apply go via: http://www.ucl.ac.uk/spierslab/LabVacancies
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