- Comp-neuro - lists.cnsorg.org

Postdoctoral position in systems neuroscience at the University of Manchester
by Mark Humphries April 17, 2014

April 17, 2014

We seek an electrophysiologist to join a team investigating the neural basis of perception. This is a BBSRC-funded project led by Dr Rasmus Petersen in collaboration with Dr Mark Humphries at the University of Manchester, UK. The project is a multidisciplinary team effort involving both experimentalists and computational modellers. Your primary role will be experimental. You will be using state-of-the-art electrophysiological methods to investigate active perception in an awake, behaving in vivo model, using a whisker-guided sensory discrimination task. You will also have the opportunity to develop your skills in data analysis. You will hold a Ph.D. in neuroscience and experience of electrophysiological recording in vivo. Experience with data analysis is an advantage. The position is immediately available and will be for up to 3 years. For more details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=7514 Informal enquiries can be made to Dr Rasmus Petersen. Email r.petersen(a)manchester.ac.uk<mailto:r.petersen@manchester.ac.uk> Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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Fully funded combined theoretical and experimental neuroscience PhD at UCL
by Peter Latham April 16, 2014

April 16, 2014

We are looking for an exceptional candidate to carry out a combined theoretical and experimental PhD. The student will receive training from two labs: Professor Peter Latham (Gatsby Computational Neuroscience Unit; theory) and Professor Michael Hausser (Wolfson Institute for Biomedical Research; experiment). The candidate will initially be based at the Gatsby Unit with Professor Latham, taking courses in computational neuroscience and developing theories at the circuit level; the rest of the PhD will be with Professor Hausser testing those theories using advanced experimental tools for linking neural circuit function with behavior (most notably targeted optogenetics and fast 2-photon imaging). The applicant should have a strong analytical background and a keen interest in neuroscience. Experience in an experimental lab is desirable but not absolutely necessary. The applicant will be fully funded for four years. Start date is flexible (but ideally by 1 October 2014). Closing date is May 15! Applicants should apply directly to Professor Latham (pel(a)gatsby.ucl.ac.uk) Please send, in PDF or plain text format where possible, the following: - CV - statement of research interests, - transcript(s) for previous degrees, and arrange for three academic letters of recommendation, also to pel(a)gatsby.ucl.ac.uk . For further details of research interests please visit our websites: Latham: http://www.gatsby.ucl.ac.uk/~pel/ Hausser: http://www.dendrites.org/

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Second Call for Papers: LDAB@CIBB2014
by Andrea Bracciali April 16, 2014

April 16, 2014

[We apologize if you have received multiple copies of this message] ==================================================== Second Call for Papers Large-scale and HPC data analysis in bioinformatics: Intelligent methods for computational, systems and synthetic biology. 26-28 June 2014 University of Cambridge, UK http://www.cussb.unisr.it/cibb2014/ss.html#LSAHDAIB Special Session of CIBB 2014: Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics http://www.cussb.unisr.it/cibb2014/index.html *** Submission deadline: 5th May 2014 *** ==================================================== AIMS and SCOPE Biomedical research is currently facing the Big Data wave created by the huge amount of experiments performed every day in omics sciences. This new situation demands appropriate IT-infrastructures and scalable software to analyse data within an acceptable timespan. Massive parallel clusters, distributed technologies, on-Chip solutions such as GPGPU and Xeon Phi must be exploited with adequate algorithmic solutions to reach their full potential. The aim of this special session is to bring together researchers interested in cutting-edge methods to address the challenges posed by the huge amount of data produced in omics science. The idea is to present the latest advancements concerning High Performance Computing solutions required to treat multi-omics data and the related Big Data paradigms that are needed to manage the large-scale challenges of current computational biology. Examples of relevant areas of interest within this context include - but are not limited to - - Next-Generation Sequencing data analysis and interpretation, - Genomics patterns identification and mining, - Transcriptomics and Proteomics data integration, - Systems Biology models simulation and optimization, - Structural Biology and Molecular Dynamics, - Synthetic Biology circuits design and simulation. SUBMISSION GUIDELINES http://www.cussb.unisr.it/cibb2014/calls.html#submissions Papers should be submitted in PDF format on the Easy Chair conference system. Paper length should be at least 4 pages and should not exceed 6 pages. Papers are required to be structured according to the following five sections: • 1. Scientific background • 2. Material and methods • 3. Results • 4. Conclusion • 5. References (no more than 10) (Please refer to the latex template on the web page for more accurate instructions). Please note that only PDF versions of papers can be accepted, as the proceedings of CIBB will be produced starting from them. A correct submission requires selecting this special session in the submission system. PUBLICATION Each paper will be peer-reviewed and the resulting scores used to determine invitations for oral or poster presentations. Following the conference, an extended version of the presented contributions (12 page format) will be considered for publication in the Springer’s Lecture Notes in Bioinformatics (LNBI) series. Moreover, a selection of the best papers will be considered for pu blication in a special issue of BMC Bioinformatics dedicated to CIBB2014. IMPORTANT DATES Paper submission: 5th May 2014 Acceptance notification: 10th May 2014 Camera ready due: 30th May 2014 Conference: 26th - 28th June 2014 ORGANISERS Andrea Bracciali, University of Stirling, UK Ivan Merelli, CNR-ITB, Italy CONTACTS Andrea Bracciali, University of Stirling, UK Computing Science and Mathematics School of Natural Sciences Stirling University abb(a)cs.stir.ac.uk +44 (0)1786 467446 Ivan Merelli, CNR-ITB, Italy Institute for Biomedical Technologies Consiglio Nazionale delle Ricerche ivan.merelli(a)itb.cnr.it +39 02 26422600

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Post-doctoral position - Boston University
by Michael Hasselmo April 16, 2014

April 16, 2014

Post-doctoral position – Boston University The Hasselmo laboratory in the Center for Memory and Brain at Boston University is looking for a post-doctoral fellow to work on a multi-disciplinary university research initiative (MURI) project in collaboration with the Leonard and Roy labs at MIT and the Milford lab at QUT. Applicants should have experience in the area of robotics with an emphasis on spatial navigation and computational neuroscience. This background should include a degree in electrical engineering, computer science, computational neuroscience or mechanical engineering. The successful candidate will extend current research on goal directed spatial behavior, including work on modeling navigation in robots guided by models of neurophysiological circuits. He/she will also implement previously developed computational models in 3D simulation environments and robotic hardware. The ideal candidate will have experience in path planning, autonomous navigation, computational modeling, neural networks, AI and/or computer vision. Excellent programming skills in MATLAB, Python and/or C++ are a must. Experience in implementing computational models on hardware platforms is a plus. Requirements: - A degree in one of the following areas: electrical engineering, computer science, computational neuroscience, mechanical engineering. - Experience in robotics, mathematical modeling, autonomous navigation, and/or neural networks. - Excellent coding skills in MATLAB, C++ and/or Python. -- Prof. Michael Hasselmo Center for Memory and Brain, Department of Psychological and Brain Sciences, Graduate Program for Neuroscience, Principal Investigator, ONR Multi-disciplinary University Research Initiative on Grid cells and Autonomous Systems, Boston University, 2 Cummington St., Boston, MA, 02215, USA Tel: (617) 353-1397, e-mail: hasselmo(a)bu.edu, http://www.bu.edu/hasselmo

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Recruitment for Post-doctoral Position: Sinapse, Singapore
by Wong Kian Foong April 16, 2014

April 16, 2014

Postdoctoral Research in Neuroimaging Data Processing and Analysis National University of Singapore – Singapore Institute for Neurotechnology (Cognitive Engineering Group) A postdoctoral appointment is available in the Singapore Institute for Neurotechnology (SINAPSE) (http://sinapseinstitute.org/) at National University of Singapore. The post-holder will be a member Professor Anastasios Bezerianos’s group focused on Neuroimaging data processing and analysis. Professor Bezerianos’s group makes use of concurrent EEG and fMRI recording to study the mechanisms of brain under various mental states. We are looking for a research fellow who is interested in developing and employing advanced signal processing techniques for analysis of neuroimaging data and developing pattern recognition approaches to classify different brain states. The candidate has to have expertise in design and running of fMRI experiments, management of fMRI data and knwoledge of existing tools for fMRI image analaysis The ideal candidate should have a strong background in Neuroimaging data processing and (or) machine learning techniques. Previous experience on multimodal neuroimaging signal processing techniques is preferable but not necessary. Previous research experience with concurrent EEG/fMRI techniques would be an advantage. You will have the ability to manage the day-to-day running of research project including assisting junior researchers, and good communication and writing skills. You will have to and should be able to work independently as well as in a team. You will have the ability to deliver results to the required standard and schedule. The position is full-time fixed-term for minimum 1 year in the first instance with potential 2 year extension. Competitive salaries according to the NUS standards. Interested applicants will be required to send you CV and supporting documents to: Prof. Anastasios Bezerianos Singapore Institute for Neurotechnology National University of Singapore Email: tassos.bezerianos(a)nus.edu.sg

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Applications open for INCF two-day course "Introduction to neuroinformatics"
by Malin Sandström April 16, 2014

April 16, 2014

Dear all, Application is now open for our two-day course "Introduction to Neuroinformatics" in Leiden in August. The course aim is to give researchers and advanced students an introduction to the field, with lectures given by carefully selected world experts. The content is suitable for both neuroscience and informatics backgrounds. Please help us spread the word to fellow researchers and students in your department! There is no course fee, and we have some travel support available. The application deadline is May 20th. More info: http://www.incf.org/community/events/incf-short-course-2014 Download course poster: http://www.incf.org/community/events/incf-short-course-2014/at_download/eve… In case of questions, please contact Mathew Abrams on course-admin(a)incf.org Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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BCF/NWG course "Analysis and Models in Neurophysiology" 2014 at the Bernstein Center Freiburg, Germany
by Birgit Ahrens April 16, 2014

April 16, 2014

BCF/NWG-Course "Analysis and Models in Neurophysiology" /Sunday, October 5 - Friday, October 10, 2014 / /Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany/ *Aim of the course:* The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. *The course includes various topics such as*: * Neuron models and spike train statistics * Point processes and correlation measures * Systems and signals * Local field potentials The course will consist of lectures in the morning and and matching exercises using Matlab and Mathematica in the afternoon. Experience with these software packages will be helpful but is not required for registration. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master-students and PhD-students (preferentially in their first year). *Application:* Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Experience using Matlab/Python/Mathematika * Background in neuroscience The course is limited to 20 participants. *Course fees:* NWG members - 50EUR, others - 125EUR *Application deadline: *June 30, 2014 *More information: *http://www.bcf.uni-freiburg.de/events/conferences-workshops/20141005-nwgcourse *-- Dr. Birgit Ahrens --* Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

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Research Fellowship Opportunity in Cognitive Neuroscience
by Naotsugu Tsuchiya April 16, 2014

April 16, 2014

Dear All, The School of Psychological Sciences is pleased to announce the opening of a call for a *Research Fellow in Cognitive Neuroscience*. Expressions of interest from suitably qualified applicants are sought and appointments may be made at the level of Research Fellow, Senior Research Fellow or Principal Research Fellow, depending upon experience. Salary and research support are available for 4 years. Domestic and international applicants are welcome to apply. Please see the attached document or follow the link below for further information regarding this outstanding career opportunity. http://jobs.monash.edu.au/jobDetails.asp?sJobIDs=523427&lWorkTypeID=&lLocat… Best wishes Mark Bellgrove and Kim Cornish -- Professor Mark Bellgrove Research Chair School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences Monash University, Clayton Campus Room 533, Building 17 Victoria, 3800 AUSTRALIA Tel +61 3 990 24200 Fax +61 3 99053948 Monash Provider No. 00008C www.med.monash.edu.au/psych/research -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. Associate Professor School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences, Monash University 2. ARC Future Fellow homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage/Main.html

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Deadline Extension: AAAI Workshop on Incentives and Trust in Electronic Communities (WIT-EC) 2014
by Jay Zhang April 16, 2014

April 16, 2014

Sorry for multiple copies. The submission deadline of the AAAI WIT-EC 2014 has been extended to April 25, 2014. CALL FOR PAPER AAAI 2014 WORKSHOP ON INCENTIVE AND TRUST IN E-COMMUITIES (WIT-EC'14) http://trust.sce.ntu.edu.sg/wit-ec14/ The 3nd WIT-EC workshop will be held together with the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI'14), July 27-31, 2014, in Quebec, Canada. Trust and incentive have bidirectional relationships. As trustworthiness measures are used as part of incentive mechanisms to promote honesty in electronic communities, incentive mechanisms motivate participants to contribute their truthful opinions that are useful for trust modeling. Hence, trust and reputation systems should not only provide a means to detect and prevent malicious activities but also design a mechanism to discourage dishonesty attitudes amongst participants. The evidential success of combining these two concepts inspires and encourages researchers in the trust community to enhance the efficacy and performance of trust modeling approaches by adopting various incentive mechanisms. The main objective of this workshop is to bring together researchers and practitioners of both fields, to foster an exchange of information and ideas, and to facilitate a discussion of current and emerging topics relevant to building effective trust, reputation and incentive mechanisms for electronic communities. Topics of interest include, but are not limited to: - Social, cognitive trust, reputation - Computational trust, reputation - Incentive Mechanisms - Cross-cultural approaches - Components and dimensions of sociotechnical trust - Game theoretic approaches to trust and reputation - Game theory and trusting behaviours - Risk management and trust-based decision making - Trust management dynamics - Trust, regret, and forgiveness - Economic drivers for trustworthy systems - Trust and economic models - Trust metrics assessment and threat analysis - Context-aware trust assessments - Trust-aware recommender systems - Evolution of trust - Trust-based incentive mechanisms - Robustness of trust and reputation systems - Trust metrics assessment and threat analysis - Robustness of incentive mechanisms - Deception and fraud, and its detection and prevention - Attacks on, and defences for, trust, reputation and incentive mechanisms - Testbeds and framework of trust - User interfaces to incentive mechanisms - Real-world applications for virtual communities (e.g. e-commerce, social network, e-health, e-learning, blog, online tutoring systems) Previous Workshops: Reacting to the strong needs and trend, the first Workshop on Incentives and Trust in E-Commerce (WIT-EC'12) was organized with the 13th ACM Conference on Electronic Commerce (EC'12), on June 4-8, 2012, in Valencia, Spain, to bring together researchers in both the area of game theory for designing incentive mechanisms and the area of trust and reputation modeling, towards the design of more effective trust, reputation and incentive mechanisms for creating safe e-marketplace environments. The second Workshop on Incentive and Trust in E-commerce has been held together with the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), on August 3-9, 2013, in Beijing, China. Following up the success of the WIT-EC'12 workshop, we invite eight accepted papers to the special issue of Computational Intelligence on Incentives and Trust in E-Commerce ( http://www.ntu.edu.sg/home/zhangj/doc/cfp-ci-si-trust.pdf ) aiming to further elicit articles in a more comprehensive and extended form that contribute to the resolving of the above mentioned challenges. Workshop Co-Chairs Stephen Marsh, University of Ontario Institute of Technology, Canada Jie Zhang, Nanyang Technological University, Singapore Christian Jensen, Technical University of Denmark, Denmark Zeinab Noorian, University of Saskatchewan, Canada Program Committee Sviatoslav Braynov, University of Illinois at Springfield, USA Chris Burnett, University of Aberdeen, UK Robin Cohen, University of Waterloo, Canada Babak Esfandiari, Carleton University, Canada Rino Falcone, Institute of Cognitive Science and Technologies, CNR, Italy Carol Fung, Virginia Commonwealth University, USA Audun Josang, University of Oslo, Norway Sama Khosravifar, University of Tehran, Iran Siyuan Liu, Nanyang Technological University, Singapore Tim Muller, Nanyang Technological University, Singapore Masakatsu Nishigaki, Shizouka University, Japan Thanasis Papaioannou, EPFL, Switzerland Sarvapali Ramchurn, University of Southampton, UK Thomas Tran, University of Ottawa, Canada Kewen Wu, University of Saskatchewan, Canada Contact Info Zeinab Noorian z.noorian(a)unb.ca Important Dates Paper Submission Deadline : April 25, 2014 Notification of Acceptance: May 1, 2014 Camera-ready Paper: May 15, 2014 Workshop Date: July 27, 2014 Submission and Proceedings Papers must be formatted according to the AAAI 2014 style guide. We solicit short and long papers as well as research demos. Long papers (6 pages) present original research work; short papers (4 pages) report on work in progress or describe demo systems. All the selected papers will be published in an AAAI technical report volume. Submissions will be reviewed for relevance, originality, significance, validity and clarity. All articles selected for publication will be reviewed by at least two reviewers with expertise in the area. As previous years, we plan to invite the best papers for a journal special issue.

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Computational Modeling of Cognition-Emotion Interactions - Quebec City - July 23, 2014
by Jean-Marc April 15, 2014

April 15, 2014

CFP: Workshop on ***"Computational Modeling of Cognition-Emotion Interactions: Relevance to Mechanisms of Affective Disorders and Psychotherapeutic Action"*** To be held at the 36^th Annual Meeting of the Cognitive Science Society July 23, 2014 Quebec City, Quebec, Canada Recent years have witnessed an increasing interest in developing computational models of emotion and emotion-cognition interaction, within the emerging area of computational affective science.At the same time, emotion theorists and clinical psychologists have been recognizing the importance of moving beyond descriptive characterizations of affective disorders, and identifying the underlying mechanisms that mediate both psychopathology and psychotherapeutic action. Computational models of cognition-emotion interactions have the potential to facilitate more accurate assessment and diagnosis of affective disorders, and to provide a basis for more efficient and targeted approaches to treatment, through an improved understanding of the mechanisms of therapeutic action. In spite of the significant synergy that could result from a dialogue among researchers and practitioners in affective modeling, emotion research and clinical psychology, limited interaction exists among these communities. The goal of this workshop is to provide a forum for interdisciplinary dialog among the members of these research communities, and explore how computational models of emotion-cognition interaction can help elucidate the mechanisms mediating affective disorders, as well as the mechanisms of therapeutic action. Workshop Format To facilitate cross-disciplinary discussions and interaction, the workshop format will emphasize moderated panels, small working groups, and open discussion, in addition to the traditional paper sessions. To this end, we encourage submissions of proposals for discussion topics, panels and small working groups. Keynote address:Keith Oatley, University of Toronto-- "The cognitive bases of emotions, emotional disorders and psychotherapy." *Submission Guidelines* Interested participants should submit extended abstracts (1-3 pages), discussion and working group topics (1 page), or panel proposals (1-2 pages) to hudlicka(a)cs.umass.edu <mailto:Hudlicka@ieee.org> by *June 1*.Relevant topics include: ·Which processes mediating cognition-emotion interactions are sufficiently well understood to support computational modeling (e.g., affective biases on attention & perception; emotion regulation; cognitive appraisal)? ·How can models of these processes contribute to an understanding of the mechanisms of therapeutic action, across different types of psychotherapies (e.g., cognitive, psychodynamic, emotion-focused)? ·What are the relative benefits and drawbacks of the dominant theoretical perspectives on emotion with respect to computational models of emotion-cognition interaction and therapeutic action (e.g., discrete / categorical models, dimensional models (PAD), componential models)? ·What are the best representational and reasoning approaches for modeling cognitive-affective schemas and their transformation during therapy?Can we characterize the differences in these transformations across distinct therapeutic approaches (e.g., cognitive, metacognitive, emotion-focused, motivational interviewing, psychodynamic)? ·What are the most appropriate computational methods for modeling the distinct modalities of affective processes (e.g., physiological / somatic, expressive /behavioral, cognitive)? ·How can we model intermodal interactions across processes operating at different time scales? ·What types of data are necessary to develop these models, and how can these be obtained? ·For a given affective process and modality, what criteria determine the best level of model resolution (e.g., models of lower-level processes via connectionist methods vs. higher-level symbolic models)? ·How can we validate computational models of cognition-emotion interactions and therapeutic action, and what are the limits of this validation (e.g., validation of detailed symbolic models hypothesizing specific internal mental constructs, such as goals or plans, may not be possible with current technologies). Addressing these questions from a multi-disciplinary perspective will provide the context within which concrete gaps in both theoretical knowledge and methodologies can be identified, and research priorities established. Submitters will receive notification of acceptance/rejection by *June 15.* For more information see: https://people.cs.umass.edu/~hudlicka/cogsci2014-cog-em.html Post-Workshop Publication The workshop papers will be published as a separate report, and both the papers and the presentations will be made available on the workshop web site. The workshop organizers will also pursue the possibility of a special issue of a relevant journal (TBD) and/or an edited volume in the Affective Science Series published by Oxford University Press. Program Committee Eva Hudlicka, Chair, Psychometrix Associates & University of Massachusetts-Amherst Michael Arbib, University of Southern California Jorge Armony, McGill University Luc Beaudoin, Simon Fraser University Jean-Marc Fellous, University of Arizona Ian Horswill, Northwestern University Richard Lane, University of Arizona

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