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2 Postdoc positions in modeling dendritic integration and synaptic plasticity
by Walter Senn 25 Feb '16

25 Feb '16

Dear Colleagues, dear all, We are inviting applications for 2 postdoc positions (for at least 2 years, earliest start April 1, 2016) in computational neuroscience at the University of Bern, Switzerland. Our research is devoted to models of synaptic plasticity and dendritic integration that serve as a computational paradigm for learning in neuronal networks. We have recently suggested to consider “Learning by the dendritic prediction of somatic spiking” (Neuron 2014) that assigns an intrinsic computational task to neurons and dendrites. This concept will be extended by including dendritic nonlinearities and considering networks of such neuronal prediction elements. The 2 positions are: 1) Postdoc for modeling dendritic integration. We have shown how the error-backpropagation algorithm translates to a dendritic tree that displays NMDA-spikes in individual dendritic branches (PLoS Comp Biol 2016). Along these ideas a biophysical model of dendritic integration will be worked out that makes also contact to Bayesian integration. 2) Postdoc for modeling synaptic plasticity and learning in networks. The neurons as intrinsic prediction elements will be connected to form a network that mimics various learning tasks and that is particularly suited for imitation learning. You will profit from generous travel funding and from collaborations in- and outside the Human Brain Project, and you will also enjoy the beautiful city and surrounding of Switzerland’s capital. Ideal candidates have a strong background in computational neuroscience and machine learning. Please send CV, letter of motivation, and publication list by March 11 to Walter Senn (senn(a)pyl.unibe.ch) and Sabine Herzog (herzog(a)pyl.unibe.ch) With best wishes Walter Senn PS: For recent work of our group see http://www.physio.unibe.ch/~senn/neuroscience.aspx

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Call for Applications: Paul J. Salem Postdoctoral Scholars in Computational Brain Science – Brown Institute for Brain Science
by Michael J Frank 25 Feb '16

25 Feb '16

The Brown Institute for Brain Science Initiative for Computation in Brain and Mind <http://compneuro.clps.brown.edu> is seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The postdoctoral scholars will lead an exciting new project at the interface between machine learning and neuroscience. In particular, we are looking for computational neuroscientists interested in the application and development of novel machine learning methods for the analysis of neural recordings. Candidates are expected to have a solid background in modern machine learning and signal processing as well as demonstrated interest in experimental neuroscience. In addition, to conducting primary research with large neural data sets, candidates will be involved in the mentoring of students, and the organization of workshops. Candidates are expected to interact closely with the Neurotechnology group within the Brain Institute. The initial appointment is for 12 months with the potential to renew. The salary is competitive. The start date is negotiable although funding is available now. Research group: *The Initiative for Computation in Brain and Mind (ICBM;* <http://compneuro.clps.brown.edu>http://compneuro.clps.brown.edu) which began Fall 2013 within the Brown Institute for Brain Science, creates an exciting intellectual environment that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. ICBM has 16 core computational faculty (http://compneuro.clps.brown.edu/people/) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. Computational neuroscience tools at Brown have been applied in projects including brain-machine control of robotic arms in paralyzed humans; models of visual systems in biological organisms and their innovative application for classifying animal behavioral patterns; predicting and quantifying effects of genetics, disease, medications, and brain stimulation on motor and cognitive function; identification of the source of neural rhythms and their roles in sensorimotor function; development of fundamental theories of brain plasticity, and learning; state-of-the art models of machine learning and reinforcement learning in computer science. The Brown Institute for Brain Science (BIBS) advances multidisciplinary research, technology development, and training in the brain sciences. BIBS unites more than 100 faculty from departments across Brown, spanning basic and clinical departments, and physical and biological sciences. BIBS creates opportunities and essential support to advance interdisciplinary research efforts among these groups including training funds to support interdisciplinary scholarship and research. Requirements: Candidates must have received their PhDs within 3 years of the application deadline, and will work under the supervision of faculty members at Brown University who are affiliated with the Initiative for Computation in Brain and Mind. They must have a strong background in computational neuroscience and machine learning, with a track record of relevant publications at top venues (such as NIPS or ICML). Excellent programming skills are required (C/C++/Matlab/Python). Application: Please send your applications by email to cbm-info(a)brown.edu. Please include a brief statement of interests, a curriculum vitae, a list of publications and 2-3 letters of reference (addressed directly to cbm-info(a)brown.edu) There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. ------------------------------ Michael J Frank, PhD, Professor Laboratory for Neural Computation and Cognition Brown University http://ski.clps.brown.edu (401)-863-6872

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

24 Feb '16

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 24 Feb '16

24 Feb '16

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 24 Feb '16

24 Feb '16

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. 23 Feb '16

23 Feb '16

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 23 Feb '16

23 Feb '16

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 23 Feb '16

23 Feb '16

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 23 Feb '16

23 Feb '16

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 23 Feb '16

23 Feb '16

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 23 Feb '16

23 Feb '16

****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 22 Feb '16

22 Feb '16

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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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation
by Aurel A. Lazar 22 Feb '16

22 Feb '16

Columbia Workshop on Brain Circuits, Memory and Computation Friday and Saturday, March 18-19, 2016 | 501 NWC Building Organizer and Program Chair: Aurel A. Lazar (Columbia University) The goal of the workshop is to bring together researchers interested in developing executable models of neural computa- tion/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encod- ing/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. Program Overview Friday 09:00 AM - 05:30 PM 09:00 AM - 09:45 AM Alexander Borst (MPI Neurobiology), Functional Characterization of the Input Elements to the Drosophila Motion Detector 09:45 AM - 10:30 AM Michael B. Reiser (HHMI Janelia), The Circuit Basis of Directional Selectivity in the Drosophila Visual System 10:30 AM - 11:00 AM Coee Break 11:00 AM - 11:45 AM Thomas R. Clandinin (Stanford), How Does Contrast Selectivity Emerge in Motion Processing Pathways 11:45 AM - 12:30 PM Chung-Chuan Lo (National Tsing Hua University), The Virtual Fly Brain { from Bench-Top to Cyberspace 12:30 PM - 02:00 PM Lunch Break (On your own, see a list of restaurants in the area on the back) 02:00 PM - 02:45 PM J. Douglas Armstrong (University of Edinburgh), VirtualFlyBrain.org - An Integration Hub for Drosophila Neuroscience 02:45 PM - 03:30 PM Michael Hawrylycz (Allen Institute for Brain Science), Multiscale Gene Expression Signatures in the Mammalian Brain 03:30 PM - 04:00 PM Afternoon Break 04:00 PM - 04:45 PM Gaby Maimon (Rockefeller University), Probing the Neurophysiological Basis of Cognitive Operations in Behaving Drosophila 04:45 PM - 05:30 PM Stanley Heinze (Lund University), Merging Information about Direction and Distance - the Bee Central Complex as the Potential Neural Substrate for Path Integration Saturday 09:00 AM - 05:30 PM 09:00 AM - 09:45 AM Glenn C. Turner (HHMI Janelia), The Mushroom Body and Learning - Flexibly Assigning Valence to Odors 09:45 AM - 10:30 AM Vanessa Ruta (Rockefeller University), Circuit Mechanisms for Flexible Sensory Processing in Drosophila 10:30 AM - 11:00 AM Coee Break 11:00 AM - 11:45 AM Marta Zlatic (HHMI Janelia), Circuits Principles of Memory-Based Behavioral Choice 11:45 AM - 12:30 PM Friedrich T. Sommer (UC Berkeley), Interplay of Structural and Weight Plasticity: Eects on Memory Capacity and Connections to Cognitive Phenomena 12:30 PM - 02:00 PM Lunch Break (On your own, see a list of restaurants in the area on the back) 02:00 PM - 02:45 PM Mala Murthy (Princeton University), Neural Mechanisms for Dynamic Acoustic Communication in Flies 02:45 PM - 03:30 PM Matthieu Louis (Center for Genomic Regulation, Barcelona), Bayesian Maggots: Multisensory Integration in the Drosophila Larva 03:30 PM - 04:00 PM Afternoon Break 04:00 PM - 04:45 PM Kwabena Boahen (Stanford University), Neuromorphic Chips: Combining Analog Computation with Digital Communication 04:45 PM - 05:30 PM Panel Discussion: The Logic of NeuroInformation Processing of the Fruit Fly Brain Registration is free but all participants have to register at: https://bcmc16.eventbrite.com/ Workshop Website: http://www.bionet.ee.columbia.edu/workshops/bcmc/2016 Aurel http://www.bionet.ee.columbia.edu

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ICANN 2016 Barcelona - Last Call for contributions
by antonio 22 Feb '16

22 Feb '16

*Last Call for Oral Presentation, Poster Presentation and/or Full **P**aper Contribution* *www.icann2016.org* *ICANN 2016 * 25th Annual Conference on Artificial Neural Networks BarcelonaTech (UPC), Barcelona, Spain 6 - 9 September 2016* Special event*: ENNS 25th Anniversary ============================================================ /The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2016 the Universitat Politècnica de Catalunya (BarcelonaTech) will organis//e the 25th ICANN Conference from //the //6th to //the //9th //of //September 2016 in Barcelona, Spain, in collaboration with the Universit//at//Pompeu Fabra (UPF)./ *INVITED KEYNOTE SPEAKERS* 1. *Wlodek Duch *(Nicolaus Copernicus University, Torun, Poland) 2. *Erkki Oja *(Aalto University, Helsinki, Finland) 3. *Joaquin Fuster *(University of California at Los Angeles, USA) 4. *Murray Shanahan* (Imperial College London, UK) 5. *Günther Palm*(University of Ulm, Germany) 6. *Stephen Coombes *(University of Nottingham, UK) 7. *Etienne Koechlin*( Pierre and Marie Curie University, France) *IMPORTANT DATES* /Submission of abstracts and papers: /1 March 2016 /Submission of //d//emonstration proposals: /1 March 2016 /Notification of acceptance:/8 May 2016 /Camera-ready paper and registration: /15 May 2016 /Conference dates:/6-9 September 2016 *CONFERENCE TOPICS* ICANN 2016 will feature the main tracks /Brain Inspired Computing/ and /Machine Learning Research/, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: * Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. * Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. * Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *** CONFERENCE REGISTRATION FEE**S* Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim to fully implement the academicnot-for-profit policy. Undergraduate students (Bachelor and Master level): 90 EUR PhD Students: 200 EUR Regular delegates: 250 EUR *ENNS members have a reduction of 40 EUR* Students can apply for ENNS funded travel grants to attend (see the conference website). *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2016 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and with a 2-hour presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of a maximum length of 8 pages.Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract. The abstracts will be published all together in a proceedings section without an author index. In case of programme constraints the priority will be given to original contributions accompanied by a full paper submission. Submission of communications will be online. More details are available on the conference website (http://icann2016.org/index.php/contributors/submission) *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. *ORGANISATION** General Chair:*/ Antonio J. Pons Rivero/(UPC Barcelona, Spain)* Local**co-Chairs:* /Jordi Garcia-Ojalvo/(UPF Barcelona, Spain), /Paul Verschure/(UPF Barcelona, Spain) *Organising Committee Chairs:*/ Daniel Malagarriga/(UPC Barcelona, Spain), /Lara Escuain/(UPC Barcelona, Spain), /Caroline Kleinheny/(ENNS Lausanne, Switzerland) *Honorary Chair: *Alessandro E. P. Villa * Communication* *Chair:*/ Paolo Masulli/(ENNS Lausanne, Switzerland) *********************************************** Antonio J. Pons Rivero General Chair of ICANN 2016 Terrassa School of Industrial and Aeronautical Engineering (ETSEIAT) Nonlinear dynamics, nonlinear optics and lasers Group BarcelonaTech (UPC) Edifici GAIA Rbla. Sant Nebridi, 22 08222 Terrassa, Spain Caroline Kleinheny Secretary of the European Neural Network Society University of Lausanne Internef 137k, Quartier UNIL Dorigny 1015 Lausanne, Switzerland ***********************************************

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CFP-SEARCH 2016: Safe, Energy-Aware, & Reliable Connected Health Workshop
by Youssef Iraqi 22 Feb '16

22 Feb '16

Apologies if you received multiple copies of this CFP. CALL FOR PAPERS SEARCH 2016: Safe, Energy-Aware, & Reliable Connected Health Workshop https://sites.google.com/site/searchw2016/ In conjunction with The First IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2016) Washington D.C., June 27-29, 2016 http://conferences.computer.org/chase/ is inviting you to submit your research work to this workshop and also to forward to the appropriate groups this invitation. ------------------------------------- Purpose and scope ------------------------------------- This workshop, organized in conjunction with CHASE 2016, provides an international forum for research community working on energy efficient, green, safe, and reliable connected health research areas. Topics of interest include, but are not limited to: • Energy efficient protocols for connected health. • Energy efficient medical sensors. • Energy optimization in connected health. • Energy efficient resource allocation in connected health. • Safety issues in connected health. • Fault Tolerance in connected health. • Reliability of connected health technologies: m-Health, WBSN. • Safety and security concerns in connected medical devices. • Testing and validation of connected health technologies and architectures. • Simulation based methods in connected health. • Formal methods in connected health. • Surveys and state of the art reports in the area. • Other related topics ------------------------------------- Submission ------------------------------------- Perspective authors are invited to submit their papers using EDAS System (https://edas.info/newPaper.php?c=21965) A full paper should not have more than six (6) IEEE style pages including results, figures and references. One (1) additional page is allowed with a charge of USD100, if accepted. Papers exceeding 7 pages will not be accepted at EDAS, nor will they be reviewed at all. Papers will be reviewed with the standard reviewing procedure (with at least 3 independent anonymous reviews). Accepted papers will be published on IEEE Explore (http://ieeexplore.ieee.org/) Authors can use the standard IEEE templates for Microsoft Word or LaTeX formats that can be found at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Submission link: http://edas.info/newPaper.php?c=21965 ------------------------------------- Important Dates ------------------------------------- - Papers Submissions Deadline: March 11, 2016 - Notification of Acceptance: April 18, 2016 - Deadline for Author Registration: May 15, 2016 - Deadline for Camera-ready Papers: May 15, 2015 -------------------------------------------------------------------------- IMPORTANT IEEE POLICY ANNOUNCEMENT -------------------------------------------------------------------------- The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented. Note: To be published in the IEEE Workshop Proceedings and to be eligible for publication in IEEE /Xplore®/, an author of an accepted paper is required to register for the workshop and the paper must be presented by an author of that paper at the workshop unless the TPC Chair grants permission for a substitute presenter arranged in advance of the event and who is qualified both to present and answer questions. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper.Papers will be published in the IEEE CHASE 2016 Proceedings and submitted to IEEE /Xplore®/. IEEE CHASE 2016 TPC Chairs. Dr. Youssef Iraqi Associate Professor Electrical and Computer Engineering Department [cid:logo.gif] PO Box 127788, Abu Dhabi, UAE T +971 (0)2 501 8323 F +971 (0)2 447 2441 Youssef.Iraqi(a)kustar.ac.ae [cid:twitter.jpg]<https://twitter.com/KhalifaUni> [cid:fb.jpg] <https://www.facebook.com/KhalifaUniversity> [cid:youtube.jpg] <http://www.youtube.com/user/KhalifaUniversity> [cid:instagram.jpg] <http://instagram.com/khalifauni> [cid:linkedin.jpg] <https://www.linkedin.com/company/khalifa-university-?trk=biz-companies-cym> [cid:slogan.png]

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Postdoctoral position at Kyoto U
by Hidetoshi Urakubo 22 Feb '16

22 Feb '16

Dear all, Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for research position for analyses of three-dimensional microscopic images and/or functional magnetic images (fMRI, for example) from the animal/human brain, with a strong motivation into systems/computational neuroscience. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Lab, Dep Sys Sci, Grad Sch Info, Kyoto U Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== ============== 1) We are seeking a highly motivated post-doc researcher, with a background in image processing, neuroinformatics, or systems/computational neuroscience. We are conducting a research project, “Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; http://brainminds.jp/en/ ; Phil. Trans. R. Soc. B 370: 20140310).” This project aims to map the structure and function of neuronal circuits to understand the vast complexity of the human brain. The candidate will work on the projects on 3D reconstitution of marmoset brain atlas from 3D microscopic images (from EM and/or Optical) under collaboration with experiment teams. 2) We are also seeking a highly motivated post-doc researcher, with a background of systems/computational neuroscience, especially using a combination of brain imaging (EEG, fMRI, etc) and theoretical/computational modeling. Please see our references (Shikauchi and Ishii 2015, Scientific Rep. 5, 17648; Yoshida and Ishii 2006, Neuron 50(5), pp. 781-789). For both of them, a PhD or a MD degree, a proven track record of peer-reviewed publications, and solid communication skills in English and/or Japanese are essential. All projects are done with our tenure track and post-doc researchers of various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory also has a strong collaboration with other laboratories in Advanced Telecommunications Research Institute International (ATR) and RIKEN Brain Science Institute. [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer The position is open after April 1st 2016 (negotiable) Work location is Yoshidahonmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501 The contract is annually renewable up to 3 years based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto U regulations (Kyoto University’s regultions). [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Number of openings] One or two [Deadline for application] May 1st (will remain open if positions are not filled) [Send application to] Shin Ishii Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shin Ishii <ishii-sec(a)sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

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Call For Participation: 2016 Telluride Neuromorphic Cognition Engineering Workshop
by Ralph Etienne-Cummings 22 Feb '16

22 Feb '16

*Telluride Neuromorphic Cognition Engineering Workshop 2016 Wiki ¶ <https://neuromorphs.net/nm/wiki/2016#TellurideNeuromorphicCognitionEngineer…>* Sunday Jun 26th - Saturday July 16th, 2016 - * click here for workshop calendar <https://www.google.com/calendar/embed?src=hguqv4rgstl12d0m0n6c704nsg%40grou…>, Telluride Elementary School, Telluride, Colorado - click for google map location <https://maps.google.com/maps/myplaces?ll=37.939984,-107.815039&spn=0.011998…>.* *Applications to the 2016 Telluride Neuromorphic Cognition Engineering Workshop* 2016 NEUROMORPHIC COGNITION ENGINEERING WORKSHOP https://neuromorphs.net/nm/wiki/2016 Sunday June 26th - Saturday July 16th, 2016, Telluride, Colorado *IMPORTANT DATES FOR APPLICATION (Instructions are at the bottom of the page)* Application Website Open - 16th February, 2016 Applications Due - 2nd April, 2016 Notification of Acceptance - 15th April, 2016 *Application website: https://academicjobsonline.org/ajo/jobs/7040 <https://academicjobsonline.org/ajo/jobs/7040>.* *GOALS:* Neuromorphic engineers design and fabricate artificial neural systems whose organizing principles are based on those of biological nervous systems. Over the past 18 years, this research community has focused on the understanding of low-level sensory processing and systems infrastructure; efforts are now expanding to apply this knowledge and infrastructure to addressing higher-level problems in perception, cognition, and learning. In this 3-week intensive workshop and through the Institute for Neuromorphic Engineering (INE), the mission is to promote interaction between senior and junior researchers; to educate new members of the community; to introduce new enabling fields and applications to the community; to promote on-going collaborative activities emerging from the Workshop, and to promote a self-sustaining research field. *FORMAT:* The three week summer workshop will include background lectures on systems and cognitive neuroscience (in particular sensory processing, learning and memory, motor systems and attention), practical tutorials on emerging hardware design, mobile robots, hands-on projects, and special interest groups. Participants are required to take part and possibly complete at least one of the projects proposed. They are furthermore encouraged to become involved in as many of the other activities proposed as interest and time allow. There will be two lectures in the morning that cover issues that are important to the community in general. Because of the diverse range of backgrounds among the participants, some of these lectures will be tutorials, rather than detailed reports of current research. These lectures will be given by invited speakers. Projects and interest groups meet in the late afternoons, and after dinner. In the early afternoon there will be tutorials on a wide spectrum of topics, including analog VLSI, mobile robotics, vision and auditory systems, central-pattern-generators, selective attention mechanisms, cognitive systems, etc. *2016 TOPIC AREAS:* Decoding Multi-Modal Effects on Auditory Cognition: Edmund Lalor (Trinity College Dublin), Alain de Cheveigne (UPMC, France), Malcolm Slaney (Google), and Shihab Shamma (UM-College Park) Spike-Based Cognition in Active Neuromorphic Systems: Ryad Benjamin Benosman (UPMC, Paris), Cornelia Fermuller (Univ. of Maryland), Garrick Orchard (National University of Singapore), Michele Rucci (Boston University), and Bert Shi (Hong Kong University of Science and Technology) Neuromorphic Path Planning for Robots in a Disaster Response Scenario: Jeff Krichmar (University of California, Irvine) and Jennifer Hasler (Georgia Institute of Technology) Neuromorphic Tactile Sensing:James Wright (MARCS Institute, Western Sydney University), Jonathan Tapson (MARCS Institute, Western Sydney University), and Nitish V. Thakor (SINAPSE, Singapore University for Neurotechnology) Computational Neuroscience (invitational mini-workshop): Terry Sejnowski (Salk Institute) *LOCATION AND ARRANGEMENTS:* The summer school will take place in the small town of Telluride, 9000 feet high in southwest Colorado, about 6 hours drive away from Denver (350 miles). There are several small airports (e.g. Montrose) close to Telluride. All facilities within the beautifully renovated public school building are fully accessible to participants with disabilities. Participants will be housed in ski condominiums, within walking distance of the school. Participants are expected to share condominiums. The workshop is intended to be very informal and hands-on. Participants are not required to have had previous experience in analog VLSI circuit design, computational or machine vision, systems level neurophysiology or modeling the brain at the systems level. However, we strongly encourage active researchers with relevant backgrounds from academia, industry and national laboratories to apply, in particular if they are prepared to work on specific projects, talk about their own work or bring demonstrations to Telluride (e.g. robots, chips, software). Wireless internet access will be provided. Technical staff present throughout the workshops will assist with software and hardware issues. We encourage participants to bring along their personal laptop. No cars are required. Given the small size of the town, we recommend that you do not rent a car. Bring hiking boots, warm clothes, rain gear, and a backpack, since Telluride is surrounded by beautiful mountains. Unless otherwise arranged with one of the organizers, we expect participants to stay for the entire duration of this three week workshop. *FINANCIAL ARRANGEMENTS:* Notification of acceptances will be mailed out around the April 15th, 2016. The Workshop covers all your accommodations and facilities costs for the 3 weeks duration. You are responsible for your own travel to the Workshop. Registration Fees: For expenses not covered by federal funds, a Workshop registration fee is required. The fee is $1500 per participant for the 3-week Workshop. This is expected from all participants at the time of acceptance. Accommodations: The cost of a shared condominium, typically a bedroom in a shared condo for senior participants or a shared room for students, will be covered for all academic participants. Upgrades to a private rooms or condos will cost extra. Participants from National Laboratories and Industry are expected to pay for these condominiums. The 2016 Workshop and Summer School on Neuromorphic Engineering is sponsored by the National Science Foundation, Institute of Neuromorphic Engineering, University of Maryland - College Park, Institute for Neuroinformatics – University of Zurich and ETH Zurich, Georgia Institute of Technology, Johns Hopkins University, Boston University, University of Western Sydney and the Salk Institute. *Workshop Directors:* Cornelia Fermüller (University of Maryland) Ralph Etienne-Cummings (Johns Hopkins Univ.) Shih-Chii Liu (University of Zurich and ETH Zurich) Timmer Horiuchi (University of Maryland) Katalin Gotthard (University of Arizona) Michael Pfeiffer (University of Zurich and ETH Zurich) Francisco Barranco (University of Granada) Former 2007-2013 Workshop Director: Tobi Delbruck (University of Zurich and ETH Zurich) Workshop Advisory Board: Andreas Andreou (Johns Hopkins University) Andre van Schaik (University Western Sydney, Australia) Avis Cohen (University of Maryland) Barbara Shinn-Cunningham (Boston University) Giacomo Indiveri (Institute of Neuroinformatics, University of Zurich and ETH Zurich) Jonathan Tapson (University Western Sydney, Australia) Malcolm Slaney (Google) Jennifer Hasler (Georgia Institute of Technology) Rodney Douglas (Institute of Neuroinformatics, University of Zurich and ETH Zurich) Shihab Shamma (University of Maryland) Tobi Delbruck (Institute of Neuroinformatics, University of Zurich and ETH Zurich) *HOW TO APPLY:* Applicants should be at the level of graduate students or above (i.e. postdoctoral fellows, faculty, research and engineering staff and the equivalent positions in industry and national laboratories). We actively encourage women and minority candidates to apply. Anyone interested in proposing or discussing specific projects should contact the appropriate topic leaders directly. The application website is (after February 16th, 2016): https://academicjobsonline.org/ajo/jobs/7040 <https://academicjobsonline.org/ajo/jobs/7040>. Application information needed: Contact email address. First name, Last name, Affiliation, valid e-mail address. Curriculum Vitae (a short version, please). One page summary of background and interests relevant to the workshop, including possible ideas for workshop projects. Please indicate which topic areas you would most likely join. Two letters of recommendation (uploaded directly by references). Applicants will be notified by e-mail. 16th February, 2016 - Applications accepted on website 2nd April, 2016 - Applications Due 15th April, 2016 - Notification of Acceptance -- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png@01CFC064.B58B46A0]

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POSTDOCTORAL POSITION IN COMPUTATIONAL COGNITIVE DEVELOPMENT
by Dirk Bernhardt-Walther 21 Feb '16

21 Feb '16

The Cognitive Development Lab at The Ohio State University under the direction of Dr. Vladimir Sloutsky is seeking applicants for a postdoctoral research associate position for an NIH-funded project studying the development and neurobiology of categorization. The successful candidate is expected to work closely with Vladimir Sloutsky, Jay Myung, and Brandon Turner (at Ohio State) and Brad Love (at UCL) on modeling of cross-sectional and longitudinal data, on linking of genetic and behavioral data across development, and on model selection. The postdoc is expected to be an active part of the Cognitive Development lab that has general research interests in the development of cognition and to interact actively with Drs. Myung, Turner, and Love. The position is for three years with a possibility of reappointment. A successful candidate must have a Ph.D. in psychology, cognitive science, neuroscience, or related field and have a strong research record and previous experience in computational or statistical modeling. Although previous experience with developmental research is not necessary, special consideration will be given to candidates who have interest in understanding the development of cognition. Primary responsibilities will include active participation in research and collaboration with other members of the lab and the research team. Interested applicants should send a CV, research statement, representative publications, and names of three recommenders to Alicia Sciemca ( alicia.scimeca(a)gmail.com) -- the lab manager at the Cognitive Development Lab. Informal inquires may be sent to Vladimir Sloutsky (sloutsky.1(a)osu.edu) Applications will be received until the position is filled. The earliest start date is Summer of 2016. To learn more about research in the lab, visit our website: http://cogdev.osu.edu

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MBL Methods in Computational Neuroscience Course: Applications due March 7
by Mark Steven Goldman 20 Feb '16

20 Feb '16

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 27 to August 24, 2016, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 7*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The Final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2016 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2016 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Peter Dayan, University College London Sophie Deneve, Ecole Normale Superieure Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Maria Geffen, University of Pennsylvania John Huguenard, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Ken Miller, Columbia University Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Michael Stryker, UCSF Josh Tenenbaum, MIT Daniel Wolpert, Cambridge University

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Deadline Extension: GreeNets 2016 - June 27-29, 2016 - Valencia, Spain
by Sandra Sendra 19 Feb '16

19 Feb '16

==================================================================================== 3rd EAI International Conference on Green Communications and Networking - GreeNets 2016 June 27-29, 2016 Valencia, Spain http://greenets.org/2016/show/home ==================================================================================== HIGHLIGHTS - Submission Deadline: March 31, 2016 - The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT. - Proceedings are submitted for inclusion to the leading indexing services: DBLP, Google Scholar, Thomson Scientific ISI Proceedings, EI Elsevier Engineering Index, CrossRef, Scopus, as well as ICST's own EU Digital Library (EUDL). - Selected papers will be invited to publish in the EAI Endorsed Transactions on Energy Web and in the special issue of EAI Transactions on Intelligent Communication Protocols and Algorithms. - All accepted papers will be published by Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries CALL FOR PAPERS [Scope] Global warming and climate change have been a growing worldwide concern. Six sources, i.e., transportation, power, buildings, industry, agriculture and forestry, and land use, have been identified as major contributors to the rise of global carbon dioxide (CO2). The mobile industry is seen as a potential enabler to reduce greenhouse gases contributed by these six sources provided that appropriate measures are implemented. On the other hand, the mobile industry itself will also contribute to CO2 emission through network operations, mobile equipments, etc. To meet the requirement of low-carbon economy development, it is necessary to reduce the operation expenditure or energy consumption of mobile networks, while maintaining acceptable quality of service. This conference will explore and explain the scope and challenges of designing, building, and deploying GreeNets. In this regard, the conference aims to establish a forum to bring together research professionals from diverse f! ields including green mobile networ ks, system architectures, networking & communication protocols, applications, test-bed and prototype, traffic balance and energy-efficient cooperation transmission, system and application issues related to GreeNets. [Topics] The conference invites original technical papers that were not previously published and are not currently under review for publication elsewhere. Topics include, but are not limited to: - Communications and Networking: Communication techniques and protocols for GreeNets Energy-efficient transmission technologies based on the cooperation communication Scalable and flexible energy efficiency mobile network architectures, deployments, and applications - Energy-efficient network architecture & protocols: Scalability and mobility issues in energy efficiency cross-layer design MAC Protocols and QoS Designing for mobile networks - Systems and Technology: Transactions and workflows in green mobile networks Adaptability and stability of green mobile networks Mobile and multimedia supported green mobile networks Experimental and test bed studies for energy efficiency mobile networks, simulation tools - Energy-efficient management: Energy-efficient traffic balance, cooperation and management Distributed energy efficiency resource management techniques Protocols for cooperative management and control [Publications] Accepted papers will be published in Springer's LNICST series and will appear in the SpringerLink, one of the largest digital libraries online that covers a variety of scientific disciplines, as well as in the ICST's own EU Digital Library (EUDL). LNICST volumes are submitted for inclusion to leading indexing services, including DBLP, Google Scholar, ACM Digital Library, ISI Proceedings, EI Engineering Index, CrossRef, Scopus. Selected papers will be invited to a Special Issue on Green Communications and Networking 2016 in: - International Journal ACM/Springer Mobile Networks & Applications (MONET): http://www.springer.com/engineering/signals/journal/11036 - EAI Transactions on Energy Web http://eai.eu/transaction/energy-web - EAI Transactions on Intelligent Communication Protocols and Algorithms http://eai.eu/transaction/intelligent-communication-protocols-and-algorithms [Paper submission] All the papers formatted according with the instructions have to be submitted through the conference online system at: http://greenets.org/2016/show/initial-submission [Important dates] Full Paper Submission deadline: 31 March 2016 Notification and Registration opens: 25 April 2016 Camera-ready deadline: 22 May 2016 [Conference organising committees] General Chair: Jaime Lloret, Universidad Politecnica de Valencia, Spain TPC Chair: Javier Aguiar, University of Valladolid, Spain Publicity and Social Media Chair / Co-Chairs: Kayhan Zrar Ghafoor, Koya University, Iraq Workshops Chair: Sabu M. Thampi, Indian Institute of Information Technology and Management- Kerala (IIITM-K), India Sponsorship & Exhibits Chair: Raquel Lacuesta, University of Zaragoza Publications Chair: Jose Miguel Jimenez, Integrated Management Coastal Research Institute, Universidad Politecnica de Valencia,Spain Lorena Parra, Integrated Management Coastal Research Institute, Universidad Politecnica de Valencia,Spain Panels Chair: Milos Stojmenovic, Singidunum University,Belgrade, Serbia Tutorials Chair: Jose Maria Alcaraz, University of the West of Scotland, Scotland,UK Demos, Posters and PhD Track Chair: Gregorio Martinez, University of Murcia, Spain Local Chair: Sandra Sendra, Integrated Management Coastal Research Institute, Universidad Polit�cnica de Valencia, Spain Web Chair: Alejandro Canovas, Integrated Management Coastal Research Institute, Universidad Polit�cnica de Valencia,Spain ABOUT EAI The European Alliance for Innovation is a dynamic eco-system for fostering ICT enabled innovation to improve European competitiveness and to benefit society. EAI uses open e-platforms to inspire grassroots collaboration among all relevant actors, from organizations to individuals, to stimulate community driven innovation to its institutional and individual members worldwide. Through EAI, organizations find ideas and talent, and individual innovators find organizations for their ingenuity and craft. Join the innovation community at www.eai.eu

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2016 NEURON Summer Course
by Ted Carnevale 19 Feb '16

19 Feb '16

The 2016 NEURON Summer Course, which will be held at the HHMI|Janelia Research Campus in Ashburn, Virginia, is now open for registration. The course has two components, which can be taken individually or together depending on your needs and experience with NEURON. NEURON Fundamentals runs from June 20-24. This component presents a thorough introduction to computational modeling of neurons and networks of neurons with NEURON, and introduces parallel simulation. It is suitable for individuals at all levels of expertise. Parallel Simulation with NEURON runs from June 25-27. This component focuses on the needs of experienced NEURON users who want to create models that will run on parallel hardware, and presumes knowledge of how to write hoc or Python code for NEURON. You may apply for one or both components, but registration is subject to approval by the course's faculty. Space is limited, and applications will be considered in the order received. The application deadline is Friday, May 20, 2016. No applications will be accepted after that date, and there will be no on-site registration. For more information and the on-line application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

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call for papers: PRNI 2016 submission now open
by Jo Etzel 19 Feb '16

19 Feb '16

******* please accept our apologies for cross-posting ******* ------------------------------------------------------------------------------ SECOND CALL FOR PAPERS: SUBMISSION NOW OPEN PRNI 2016 6th International Workshop on Pattern Recognition in Neuroimaging 22-24 June 2016 Fondazione Bruno Kessler (FBK), Trento, Italy www.prni.org - @PRNI2016 - www.facebook.com/PRNI2016/ ------------------------------------------------------------------------------ Paper submission opens: 18 February 2016 Paper submission deadline: 18 March 2016, 11:59 pm PST Acceptance notification: 22 April 2016 Camera-ready paper deadline: 7 May 2016 Oral and poster sessions: 22-24 June 2016 Pattern recognition techniques have become an important tool for neuroimaging data analysis. These techniques are helping to elucidate normal and abnormal brain function, cognition and perception, anatomical and functional brain architecture, biomarkers for diagnosis and personalized medicine, and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. PRNI welcomes submissions on topics including, but not limited to: * Learning from neuroimaging data - Algorithms for brain-state decoding or encoding - Optimization and regularization - Bayesian analysis of neuroimaging data - Causal inference and time delay techniques - Network and connectivity models (the connectome) - Dynamic and time-varying models - Dynamical systems and simulations - Empirical mode decomposition, multiscale decompositions - Combination of different data modalities - Efficient algorithms for large-scale data analysis * Interpretability of models and results - High-dimensional data visualization - Multivariate and multiple hypothesis testing - Summarization and presentation of inference results * Applications - Disease diagnosis and prognosis - Real-time decoding of brain states - Analysis of resting-state and task-based data - MEG, EEG, structural MRI, fMRI, diffusion MRI, ECoG, NIRS Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. Manuscript submission is now open, and ends 18 March 2016. Accepted manuscripts will be assigned either to an oral or poster sessions; all accepted manuscripts will be included in the workshop proceedings.

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Cajal Course in Computational Neuroscience 2016
by Máté Lengyel 18 Feb '16

18 Feb '16

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 7-27 August 2016, Champalimaud Centre for the Unknown, Lisbon, Portugal + pre-school 2-5 August 2016 http://www.cccn.pt Applications deadline: 28 March 2016 DIRECTORS * Gilles Laurent (Max Plank Institute for Brain Research, Germany) * Máté Lengyel (University of Cambridge, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning will be devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students will work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. An optional four-day pre-school in mathematics and programming is available to students who want to catch up on or fine-tune their math and programming skills. Essential details: * Course size: 24 students maximum * Fee (which covers tuition, lodging, and meals): 2500 EUR (+ 300 EUR for optional pre-school) * Scholarships and travel stipends are available. * Application deadline: 28 March 2015 * Notification of results: April 2015 Information and application http://www.cccn.pt Contact address: Tânia Li Chen <tania.chen(a)neuro.fchampalimaud.org> FACULTY * Alberto Bernacchia (Cambridge University, UK) * Matthias Bethge (Centre for Integrative Neuroscience, Germany) * Dmitri (Mitya) Chklovskii (Simons Center for Data Analysis, USA) * Claudia Clopath (Imperial College London, UK) * Peter Dayan (Gatsby Computational Neuroscience, UCL, UK) * Sophie Denève (Institut d'Etudes de la Cognition (IEC), France) * Alain Destexhe (Centre National de la Recherche Scientifique (CNRS), France) * David Fitzpatrick (Max Planck Florida Institute for Neuroscience, USA) * Michael Hausser (Wolfson Institute for Biomedical Research, UCL, UK) * Moritz Helmstaedter (Max Planck Institute for Brain Research, Germany) * Guillaume Hennequin (Cambridge University, UK) * Karel Ježek (Charles University, Czech Republic) * Matthias Kaschube (Frankfurt Institute for Advanced Studies, Germany) * Gilles Laurent (MPI Brain Research, Germany) * Peter Latham (Gatsby Computational Neuroscience, UCL, UK) * Simon Laughlin (University of Cambridge, UK) * Máté Lengyel (University of Cambridge, UK) * Zhaoping Li (University College London, UK) * Jennifer Linden (Ear Institute, UCL, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) * Jakob Macke (Center of Advanced European Studies and Research, Germany) * Tom Mrsic-Flogel (University of Basel, Switzerland) * Yael Niv (Princeton Neuroscience Institute, USA) * Maneesh Sahani (Gatsby Computational Neuroscience, UCL, UK) * Andreas Tolias (Baylor College of Medicine, USA) * Alessandro Treves (International School for Advanced Studies (SISSA), Italy) * Daniel Wolpert (Cambridge University, UK)

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Postdoc in Computational Neuroscience, Cambridge
by Máté Lengyel 18 Feb '16

18 Feb '16

We are seeking a highly creative and motivated postdoctoral fellow to work jointly in the Lengyel and Wolpert groups in the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge. Our groups study learning, perception and motor control using theory-driven approaches. The jointly led project will combine human psychophysical experiments and advanced theoretical methods to analyse and model the data. Areas of interest include decision making, active learning, cognitive representations, reinforcement learning. The successful candidate will have - a strong quantitative background - demonstrable interest in theoretical neuroscience as well as carrying out human psychophysical experiments - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in computational and / or behavioural neuroscience - sufficient programming skills to run numerical simulations (eg. in C, Python, or MatLab) - expertise with advanced data analysis and Bayesian techniques Salary: £28,982 - £37,768 pa. The funds for this post are available for two years in the first instance. For informal queries, please contact Máté Lengyel <m.lengyel(a)eng.cam.ac.uk> or Daniel Wolpert <wolpert(a)eng.cam.ac.uk>. Máté Lengyel will also be attending the COSYNE 2016 meeting in Salt Lake City between 25 Feb - 1 Mar where he will be happy to discuss details with potential applicants. -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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Call for papers on Biological Applications of Information Theory, a special issue in honor of Claude Shannon's centennial
by Dimitrov, Alexander 18 Feb '16

18 Feb '16

In honor of Claude Shannon’s centennial: We are pleased to announce a Special issue of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications on Biological Applications of Information Theory Submission deadline April 30, 2016 Claude Shannon, born April 30, 1916, pioneered the mathematical theory of communication in his 1948 paper in the Bell System Technical Journal. Information theory has since provided the foundation for the digital revolution in communications technology. In addition, it has provided a powerful framework for investigating the fundamental limitations of naturally occurring communications, particularly in biological systems. Early applications included consideration of redundancy reduction in sensory pathways (Attneave 1954, Barlow 1961), ionizing radiation and mutagenesis (Yockey 1958), efficiency of metabolic processes (Johnson and Knudsen 1965), and analysis of reliable computation in the presence of noise (Cowan and Winograd 1963). Modern developments have accelerated in recent years as a result of advances in MEMS/NEMS and systems biology, the emergence of synthetic bacteria and lab/process-on-a-chip techniques, and collection of large data sets in both electrophysiology and cell biology. It is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature, as well as creating new ways of understanding the principles underlying communication in biological systems at many scales. The special issue will celebrate Shannon’s centennial by highlighting success stories and current progress in biological and bio-inspired information theory. In particular, we hereby solicit both invited and submitted papers in three interrelated areas: 1. Information theory and cellular/molecular biology/biochemistry (including information theory and intercellular communication); 2. Information theory and neuroscience; and 3. Information-theoretic analysis of biologically inspired communication systems (including nanonetworking and design of biologically implemented information processing networks). Contributions from researchers beyond the IEEE’s typical audience are encouraged. Submission Instructions Submissions will be collected via Manuscript Central, http://mc.manuscriptcentral.com/tmbmc/ . In your cover letter, state: “This paper is a submission for the Shannon Centennial special issue". For further information, please contact the corresponding guest editor, Prof. Peter Thomas (pjthomas__at__case.edu) Special Issue Guest Editors Prof. Alexander G. Dimitrov Department of Mathematics and Statistics Department of Integrative Physiology and Neuroscience Washington State University, Vancouver, Washington, USA Prof. Faramarz Fekri Department of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, USA Prof. Aurel Lazar Department of Electrical Engineering Columbia University, New York, New York, USA Prof. Stefan M. Moser Signal and Information Processing Lab (ISI) ETH Zurich, Zurich, Switzerland Department of Electrical and Computer Engineering National Chiao Tung University (NCTU), Hsinchu, Taiwan Prof. Peter J. Thomas* Department of Mathematics, Applied Mathematics, and Statistics Department of Electrical Engineering and Computer Science Department of Biology Case Western Reserve University, Cleveland, Ohio, USA *corresponding guest editor -- Alexander Dimitrov Department of Mathematics and Statistics Washington State University 14204 NE Salmon Creek Ave Vancouver WA 98686 alex.dimitrov(a)wsu.edu http://directory.vancouver.wsu.edu/people/alexander-dimitrov

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