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[IEEE ICCI*CC'16:] RE: IEEE ICCI*CC'16 Update
by Yingxu Wang Feb. 24, 2016

Feb. 24, 2016

Dear Colleague, The 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'16) will be held at Stanford University, CA, USA during Aug. 22-23, 2016 (http://www.ucalgary.ca/icci_cc/iccicc-16) The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE Computer, Computational Intelligence, and SMC Societies. It forms a transdisciplinary field that studies the internal information processing mechanisms of the brain, the underlying abstract intelligence (aI) theories and denotational mathematics, and their engineering applications in cognitive computing, computational intelligence, and cognitive systems. Paper submission is via Easy Chair at: https://www.easychair.org/conferences/?conf=iccicc2016. Submission deadline is approaching on Feb. 29, 2016. Special session papers may get a grace period by coordination of the session chairs. The conference will be featured by a number of keynote speeches that highlight the cutting-edge theories and novel technologies for cognitive systems and computational intelligence inspired by the brain such as: a) Natural Language Understanding vs. Natural Language Precisiation Prof. Lotfi A. Zadeh, UC Berkeley, USA b) Hebbian Learning and the LMS Algorithm Prof. Bernard Widrow, Stanford \university, USA c) Deep Learning and Deep Thinking by Cognitive Robots and Computational Intelligent Systems Prof. Yingxu Wang, University of Calgary, Canada You are welcome to submit a paper to IEEE ICCI*CC'16 or to organize a special session related to the theme of the conference. The Proceedings of ICCI*CC'16 will be published by IEEE CS Press and indexed by EI, DBLP, and IEEE eXplore. Selected papers from the proceedings will be published in leading international journals and IEEE transactions. We look forward to having an opportunity to meet you at IEEE ICCI*CC'16. Best regards, Prof. Yingxu Wang IEEE ICCI*CC'16 Co-Chair _______________________________________________ This message was sent to all subscribers of ieeeicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: ieeeicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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1st Call for Abstracts: the 8th Int'l Workshop on Guided Self-Organization (GSO-2016, Cancun, Mexico, 7 July 2016)
by Joseph Lizier Feb. 24, 2016

Feb. 24, 2016

Dear All, This is an announcement and Call for Abstracts for the Eighth International Workshop on Guided Self-Organization (GSO-2016) to be held on July 7, 2016 at ALIFE XV in Cancun, Mexico: http://guided-self.org/gso8/ The GSO Workshop will bring together invited experts and researchers in self-organizing systems, with particular emphasis on the information- and network-theoretic foundations of GSO and the information dynamics of complex systems. The following topics are of special interest: information-theoretic measures of complexity, nonlinear dynamics, complex networks, information-driven self-organization (IDSO), applications of GSO to complex networks, distributed computation, machine learning, swarm intelligence, bio-inspired systems, computational neuroscience, systems biology, cooperative and modular robotics, etc. Submissions to the workshop are extended abstracts (one page). If interested in participating, please send an extended abstract (by May 29, 2016) by email to: prokopenko.mikhail(a)gmail.com The notifications are expected by June 10, 2016. Authors of accepted submissions will present the content to the workshop. We expect that selected papers of GSO-2016 will be published in a special issue (research topic) of Frontiers of Robotics and AI, or Artificial Life journals. Please consult above website for more information. Best wishes, Mikhail Prokopenko Carlos Gershenson Daniel Polani <apologies for possible cross-posting>

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Postdoc in Bordeaux, France. Application deadline 01/04/2016.
by Nicolas P. Rougier Feb. 24, 2016

Feb. 24, 2016

Postdoc in Bordeaux, France at the Neurodegenerative Diseases Institute <http://www.imn-bordeaux.org/en/> Application deadline 01/04/2016. Details & application at INRIA website <http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-…>. Actor–critic models of the basal ganglia We developed a model of the basal ganglia (Piron et al., 2016) that introduces an action selection mechanism that is based upon the competition between a positive feedback through the direct pathway and a negative feedback through the hyperdirect pathway. The model also exploits the parallel organization of circuits between the basal ganglia and the cortex using segregated loops: one loop allows to choose the cue and one loop allows to make the actual motor selection. Learning occurs between the cognitive cortex and the cognitive striatum using a simple reinforcement learning where the values of the different cues are updated after each decision. As in most computational models of the basal ganglia, this model relies on an actor-critic architecture where the dopamine signal is used to encode the temporal difference prediction error signal in the critic (Joel et al., 2002; Khamassi et al., 2005). However, this algorithm is not very elaborated and its implementation is not biologically plausible since values are stored outside the model. The objectives of this postdoc is thus to review and to re-implement (Python) main actor-critic models of the literature in order to compare them on a common set of decision tasks (two-arm bandit task for example) in terms of biological plausibility and performances. Special attention will be given to the "Primary Value and Learned Value Pavlovian Learning Algorithm" model (O'Reilly, 2007) and the AGREL model (Roefselma et al. 2005). From these replications (that will be published in ReScience <http://rescience.github.io/>), the most plausible and compatible mechanisms will be implemented in our own model of the basal ganglia in order to replace the current reinforcement learning algorithm (Guthrie et al., 2013, Piron et al. 2016). Profiles PhD in computational neuroscience or computer science (machine learning) with strong experience in Python & the scientific Python stack (numpy, scipy, matplotlib, git/github). References • Joel, D., Niv, Y., & Ruppin, E. (2002). Actor–critic models of the basal ganglia: New anatomical and computational perspectives. Neural Networks, 15(4-6), 535–547. • Khamassi, M., Lachèze, L., Girard, B., Berthoz, A., Guillot, A. (2005). Actor-critic models of reinforcement learning in the basal ganglia: From natural to artificial rats. Adaptive Behavior, 13 (2). • Guthrie, M., Leblois, A., Garenne, A., & Boraud, T. (2013). Interaction between cognitive and motor cortico-basal ganglia loops during decision making: a computational study. Journal of Neurophysiology, 109(12). • C. Piron, D. Kase, M. Topalidou, M. Goillandeau, H. Orignac, T. N'Guyen, N.P. Rougier, T. Boraud, The globus pallidus pars interna in goal oriented and habitual behavior. Resolving an old standing paradox, Movement Disorders, (2016), to appear. • O'Reilly, R. C., Frank, M. J., Hazy, T. E., & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm. Behavioral Neuroscience, 121(1). • Roelfsema, P.R., van Ooyen A. (2005). Attention-gated reinforcement learning of internal representations for classification. Neural Computation. Nicolas P. Rougier

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Postdoc and PhD positions and further opportunities in the Bernstein group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer)
by Memmesheimer, Raoul M. Feb. 23, 2016

Feb. 23, 2016

Postdoc and PhD positions and further opportunities in the Bernstein group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer) There are fully funded positions available at the PhD and at the postdoctoral researcher level in my future group at FIAS Frankfurt, with an envisaged starting date of July 2016. At an earlier career stage, you can write your Bachelor’s or Master’s thesis, or do a short-term internship to get to know research in theoretical neuroscience/neurophysics. Depending on the project and the need, financial support is available. Optimal backgrounds of applicants include theoretical neuroscience and/or theoretical physics, computer science, mathematics, quantitative biology. Under the overarching topic “Bridging the scales: Spiking in artificial and biological neural computation”, we aim to develop spiking networks for the solution of artificial intelligence problems and we aim to understand healthy and pathological spike patterns. Your theoretical work in the group may delineate principles underlying effective computations with spiking neurons, investigate the origins of pathological dynamics in the hippocampus, or explore the impact of coupling nonlinearities found in this brain region. Some of the planned projects are directly guided by recent experimental results and aim at explanations that have been requested by experimentally working collaborative partners. Others have a higher level of abstraction and explore rather principal questions. For the different projects, collaborative partnerships have been arranged with experimentally working scientists at Heidelberg University (group of A. Draguhn) and Bonn University (group of H. Beck), and with theoretically working groups at Columbia University (group of L. Abbott), Radboud Unversity (group of H.J. Kappen) and FIAS Frankfurt (group of Jochen Triesch). Of course I am also happy to discuss your own ideas for your future research in the group. If you are interested in more information, see my website (www.memmesheimer.net) contact me via email (rm3354(a)cumc.columbia.edu) at CoSyne 2016, or, if you are in the neighborhood, drop by at my office at Columbia University. -- Raoul-Martin Memmesheimer Center for Theoretical Neuroscience, Columbia University, New York, USA Web: www.memmesheimer.net Phone: +1 (646) 774 7329 Email: rm3354(a)cumc.columbia.edu<mailto:rm3354@cumc.columbia.edu>

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2016 Summer workshop on the dynamic brain: applications open
by Adrienne Fairhall Feb. 23, 2016

Feb. 23, 2016

View online Announcing the Summer Workshop on the Dynamic Brain, co-hosted by the Allen Institute for Brain Science and the Computational Neuroscience Program at the University of Washington and directed by Drs. Christof Koch and Adrienne Fairhall. This intensive, two-week, projects-based, interdisciplinary course aims to give advanced students in neuroscience, biology, physics, engineering and computer science a rapid introduction to the current state of understanding of the neurobiology of sensory processing, including anatomy, physiology and neural coding. The workshop will include data analyses, Python and other software boot-camps, and lectures, taught by faculty from the University of Washington and the Allen Institute for Brain Science, on topics focused on the mammalian cortex and closely associated satellite structures. Subscribe | Unsubscribe | Feedback | Privacy Policy Copyright ©2016. Allen Institute for Brain Science. All Rights Reserved.

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Post-doctoral Research Fellow - Computational Modelling of Deep brain Stimulation for Parkinson's disease
by Olga Grant Feb. 23, 2016

Feb. 23, 2016

Post-doctoral Research Fellow - Computational Modelling of Deep brain Stimulation for Parkinson's disease Highly motivated candidates are invited to join an exciting new project to develop multiscale models of the neuromuscular system for closed-loop deep brain stimulation (DBS). We are seeking a post-doctoral research fellow to develop models of the electric field around the implanted electrode during deep brain stimulation and its interaction with surrounding neurons. Despite the success of DBS, the mechanisms by which it works are not yet understood. This project aims to address this question and to design closed-loop control strategies for DBS through a combination of computational modelling and experimentation. The project represents an exciting opportunity for enthusiastic candidates to work on a new multidisciplinary research project funded by the European Research Council (ERC). The Neuromuscular Systems and Neural Engineering Lab is a multidisciplinary research group led by Prof. Madeleine Lowery in the School of Electrical and Electronic Engineering at University College Dublin. Our research involves applying engineering principles, in particular mathematical modelling, signal analysis and experimentation, to understand how the nervous system controls muscle in healthy and diseased states. Through this research we aim to improve our understanding of the neuromuscular system to address fundamental questions in the control of human movement and to develop improved therapeutic and rehabilitation strategies. Candidates should hold a PhD in Biomedical Engineering, Electrical/Electronic Engineering or a related discipline, with prior experience in electromagnetic finite element analysis and/or computational neural modelling. Excellent communication, analytical and programming skills are required. Full details of the position and the application process are available through the UCD Human Resources website ( <https://www.ucd.ie/hr/jobvacancies/> https://www.ucd.ie/hr/jobvacancies/) . Informal enquiries may be made to Prof. Madeleine Lowery UCD School of electrical Electronic & Communications Engineering University College Dublin Belfield Dublin 4 Ireland madeleine.lowery(a)ucd.ie Tel. +353 1 716 1911 ____________________________________ Dr Olga M Grant Research Project Manager School of Electrical & Electronic Engineering Tel +353 (1) 7161778

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Postdoctoral position in computational neuroscience (sensory processing & decision-making)
by Ralf Haefner Feb. 23, 2016

Feb. 23, 2016

A postdoctoral position is available in the computational neuroscience group of Ralf Haefner in the department for Brain & Cognitive Sciences at the University of Rochester (NY). The focus of our group is on understanding the neural basis of perceptual decision-making. Based on the assumption that the brain performs probabilistic inference using an internal model of the world, we ask questions such as: What is the nature of the internal model? How is it learnt? How are posterior beliefs represented by spiking responses of populations of neurons? What algorithm does the brain use to compute its beliefs? How do cognitive priors influence sensory processing? What is the role of attention in a probabilistic inference framework? What is the role of feedback connections to sensory areas more generally? In order to answer these questions, we perform studies ranging from purely theoretical at the interface of neuroscience and machine learning, to neural data analysis, to psychophysics. Our collaborations with electrophysiology labs inside our department (Greg DeAngelis, Jude Mitchell) and externally (e.g. Born lab at Harvard Medical School, Cumming lab at NIH) allow for the testing of theoretical models using state-of-the-art cortical population recordings in behaving animals and, if desired, the opportunity to record your own data. We also collaborate with the theoretical groups of Jakob Macke (Caesar Institute, Bonn) and Stefano Panzeri (IIT in Trieste). For past work indicative of future directions see... Haefner et al. NatNeuro 2013: http://www.nature.com/neuro/journal/v16/n2/full/nn.3309.html Smolyanskaya et al. Neuron 2015: http://www.cell.com/neuron/abstract/S0896-6273(15)00561-9 Haefner et al. Neuron 2016 (accepted): http://arxiv.org/abs/1409.0257 …and our presentations at the upcoming COSYNE 2016: Poster II-17 (Main Meeting, Fri): Chicharro et. al at Poster III-1 (Main Meeting, Sat): Lange et al. at Talk in “choice-related feedback” Workshop (Tue), Haefner et al. We’re looking for a motivated candidate with strong mathematical and programming skills. The ideal candidate would also be familiar with (or quick to pick up) machine learning techniques, especially relating to inference in probabilistic models, and/or any relevant neuroscience background. The successful candidate with join a highly collaborative department with a strong tradition in probabilistic modeling across a wide range from sensory processing to linguistics (https://www.bcs.rochester.edu/research/index.html <https://www.bcs.rochester.edu/research/index.html> ). The city of Rochester is located on the shore of Lake Ontario in upstate New York on the edge of the finger lakes region, and has a high quality of life (http://en.wikipedia.org/wiki/Rochester,_New_York <http://en.wikipedia.org/wiki/Rochester,_New_York> ). Start date and duration are flexible. Please send applications including a brief research statement, a CV and names of 2-3 references by email. I'll be at COSYNE for both conference and workshops and available to meet there in person. Ralf Haefner Assistant Professor Brain & Cognitive Sciences University of Rochester (NY) rhaefner(a)bcs.rochester.edu <mailto:rhaefner@bcs.rochester.edu>

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Postdoc positions: computational modeling of neurodegenerative disease
by Christina M. Weaver Feb. 23, 2016

Feb. 23, 2016

Two postdoctoral positions, one empirical and one computational, are available in the interdisciplinary research group of Drs. Jennifer Luebke (Boston University School of Medicine, Boston MA) and Christina Weaver (Franklin & Marshall College, Lancaster PA) starting as early as April 2016. The research project involves the assessment of the detailed structure and function of cortical and striatal neurons in mouse models of Huntington’s disease, and computational modeling of these neurons. Experimental approaches will make extensive use of in vitro slice electrophysiology (whole-cell patch-clamp recordings) and cellular imaging techniques (primarily confocal fluorescence microscopy). Computational modeling of the empirically characterized neurons will use parameter optimization algorithms developed in the Weaver lab, and will eventually be incorporated into local microcircuits and larger cortico-striatal networks. For an overview of our interdisciplinary approach, see our joint publications including Luebke et al., *Cerebral Cortex* (2015), PMID 24323499 and Coskren et al., *J. Comput. Neuro*. (2015), PMID 25527184. Applicants should have a strong background in neuroscience and/or modeling, and have a keen interest in imaging, biophysical, and computational approaches in neuroscience research. Review of applications will begin March 10, 2016, and will continue until the positions are filled. Interested applicants should send their CV, a brief statement of current and future research interests, and the contact information of three references to christina.weaver(a)fandm.edu or jluebke(a)bu.edu. Required Skills * For Empirical position (Boston, MA): Experience with electrophysiology and/or confocal imaging is preferred. Additional background or strong interest in computational neuroscience is a plus. * For Modeling position (based in Lancaster, PA with occasional travel to Boston): Experience with NEURON compartmental modeling software and/or automated parameter optimization is preferred. * Excellent written and verbal communication skills * Ph.D., M.D. or equivalent from an accredited institution * We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor. Job Location Boston, Massachusetts and Lancaster, Pennsylvania, United States Position Type Full-Time/Regular Salary Conditions and remuneration will be according to the regulations of the National Institutes of Health for postdoctoral trainees. Bottom of Form Christina M. Weaver, Ph.D. Associate Professor of Mathematics Department of Mathematics and Computer Science Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Phone: (717) 291-3872 Fax: (717) 358-4507 Email: christina.weaver(a)fandm.edu

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2nd call for illusion submissions: the 12th Best Illusion of the Year Contest
by Susana Martinez-Conde Feb. 23, 2016

Feb. 23, 2016

****2nd CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 12TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** <http://illusionoftheyear.com> http://illusionoftheyear.com We are happy to announce the 12th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute videos, in mp4 format, featuring novel illusions (unpublished, or published no earlier than 2015) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2016 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com) until April 15, 2016. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ----------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Empire Innovator Scholar Director, Laboratory of Integrative Neuroscience State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 http://smc.neuralcorrelate.com <http://smc.neuralcorrelate.com/>

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2nd announcement: 4th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2016)
by Daniel Wójcik Feb. 22, 2016

Feb. 22, 2016

4th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2016) Understanding neurons, cognition and behavior through neuroinformatics Place: Nencki Institute of Experimental Biology, and Faculty of Physics, University of Warsaw Warsaw, Poland Time: June 15-18, 2016 More information and applications at http://bit.do/bnni2016 Important dates: 28 February 2016 Application deadline [EXTENDED] 13 March 2016 Acceptance notification 15-18 June 2016 Summer School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2016 to be held at the Nencki Institute of Experimental Biology and the Faculty of Physics of the University of Warsaw. The course is interdisciplinary and covers modeling at different levels of organization of the brain, analysis of neural data, brain atlases, and other aspects of neuroinformatics. The course combines lectures, tutorials and computer exercises. This summer school is the fourth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, BNNI 2014 in Tampere, BNNI 2015 in Tartu). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in natural and life sciences, from physics, chemistry, mathematics, computer science, informatics and information technology, to biology, medicine, and psychology, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain are required to benefit from the school. Faculty includes Piotr Durka, University of Warsaw, Warsaw, Poland Gaute Einevoll, Norwegian University of Life Sciences, Aas, Norway Bruce Graham, University of Stirling, United Kingdom Marja-Leena Linne, Tampere University of Technology, Finland Szymon Łęski, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Ausra Saudargiene, Vytautas Magnus University, Kaunas, Lithuania Eleni Vasilaki, University of Sheffield, Sheffield, United Kingdom Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw, Poland Jarosław Żygierewicz, University of Warsaw, Warsaw, Poland Venue The lectures will be held at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences and the computer classes in the Faculty of Physics of the University of Warsaw. The two buildings are next to each other, they are located at the center of Ochota campus, encompassing a number of university departments and research institutes. Practical arrangements There is a small tuition fee of 100 euros. The organizers will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. Small financial support is available for those without funding. Inexpensive lodging for all the students will be organized. The course is supported by the IBRO-PERC committee, University of Warsaw, and the Nencki Institute We are looking forward to welcome you at the BNNI 2016 in Warsaw, Poland! -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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