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INNS (International Neural Network Society) BigData 2015 San Francisco, Aug. 8-10, 2015 - $2000 Best Paper Award - Papers submission deadline is March 22nd.
by Asim Roy March 2, 2015

March 2, 2015

[Apologies for cross-postings] ########################################### The inaugural INNS Big Data conference 2015 August 8-10, 2015, San Francisco, USA CALL FOR PAPERS ########################################### Homepage: http://www.innsbigdata.org ########################################### The aim of the INNS BigData conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Please refer to our website for a more detailed list of topics. Being INNS' inaugural conference on the theme of big data, we are especially motivated to synthesize ideas, promote activities and generate broad interest in areas where neural networks have many unique advantages. We also have Twitter, Facebook and Google+ pages! Elsevier Best Paper Award ########################################################### * Recognizes the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. * It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier. * The Award consists of a plaque and a $2000 honorarium ########################################################### Dr. Fen Zhao Talk ########################################################### * Dr. Fen Zhao is a Staff Associate at the Office of the Assistant Director (OAD) for Computer & Information Science & Engineering (CISE) at the National Science Foundation. * She will give a talk on national big data R&D initiative and on building public-private partnerships around CISE's Big Data, next generation internet, and cybersecurity R&D portfolios. ########################################################### Plenary Speakers ########################################################### * Bin Yu, Chancellor's Professor, University of California , Berkeley * Raghu Ramakrishnan, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft * Brenda Dietrich, IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM * Juergen Schmidhuber, Scientific Director, IDSIA ########################################################### Tutorials ########################################################### * Deep Learning - Profs. Juergen Schmidhuber (University of Lugano, and the Swiss AI Lab IDSIA) and Dong Yu (Microsoft Research) * Introduction to How Brain Deals with Big Data - Juyang Weng (Michigan State University) * Platforms and Algorithms for Big Data Analytics - Prof. Chandan K. Reddy (Wayne State University) * Big Data Analytics, Machine Learning Cognitive Algorithms and the Mind - Prof. Leonid I. Perlovsky (Northeastern University) * Spiking Neural Networks and Neuromorphic Spatio-Temporal Data Machines - Prof. Nikola Kasabov (Auckland University of Technology) * Online Learning for Big Data Analytics - Prof. Irwin King (Chinese University of Hong Kong) ########################################################### Workshops ########################################################### * Deep Learning - Profs. Juergen Schmidhuber and Dong Yu * Neuromorphic Spatio-Temporal Big Data Machines - Prof. Nikola Kasabov * Neural networks and wearable devices - Prof. Danilo Mandic * Big Data and Power Systems - Profs. Dejan Sobajic and Kumar Venayagamoorthy * Crowd Behaviour and Big Data - Profs. Chrisina Jayne and Mehmed Kantardzic ########################################################### Important Dates ########################################################### * Paper Submission March 22, 2015 * Paper Decision Notification May 22, 2015 * Camera Ready Submission of papers June 8, 2015 ########################################################### Paper Submission and Publication ########################################################### * Prospective authors should submit a full-length draft manuscript (8 pages), including figures, tables and references using the Elsevier Standard template without page numbers. * The full papers should be submitted to the INNS-BigData'2015 EasyChair online submission website: https://easychair.org/conferences/?conf=innsbigdata2015 * Conference proceedings will be published by Elsevier as a separate issue of Procedia Computer Science, which is an open access publication and is part of Science Direct electronic service. ########################################################### Topics and Areas include, but not limited to: * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Kernel methods and statistical learning theory * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud Big Data Analytics Section @ INNS ########################################################### Considering the growing interest to process and analyse big data, the International Neural Network Society (INNS) has a new Section on Big Data Analytics (BDA) to help the neural network field position itself as a leading technology contributor to big data analytics. By actively promoting the use of neural networks for big data analytics, the INNS-BDA section is dedicated towards bringing the neural network field to greater heights. Anyone who is interested to know more is encouraged to visit the homepage of the INNS-BDA Section at http://www.inns.org/big-data-section. ACCOMMODATION RESERVATION ########################################################### * A dedicated website is now available for attendees to book their hotel rooms online. * Reservations can be made starting 31-Oct-2014 at this web address: https://resweb.passkey.com/Resweb.do?mode=welcome_ei_new&eventID=12490679 ########################################################### Co-Sponsors * International Neural Network Society (INNS) * Elsevier Advisory Board * Walter Freeman, University of California, Berkeley, USA * Ali Minai, University of Cincinnati, USA * Danil Prokhorov, Toyota Tech Center * Bernard Widrow, Stanford University, USA * Bart Kosko, University of Southern California, USA General Chairs * Plamen Angelov, Lancaster University, UK * Asim Roy, Arizona State University, Tempe, USA PC Chairs * Adel M. Alimi, University of Sfax, Sfax, Tunisia * Theodore Trafalis, University of Oklahoma, USA * Kumar Venayagamoorthy, Clemson University, USA Plenary Chairs * Nikola Kasabov, Auckland University of Technology, New Zealand * Irwin King, Chinese University of Hongkong, China Special Sessions Chairs * Bonny Banerjee, University of Memphis, USA * Alessandro Ghio, University of Genoa, Italy Tutorials/Workshops Chair * Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil * Trevor Martin, Univ. of Bristol, UK. Poster Session Chairs * Yi Lu Murphy, University of Michigan-Dearborn, USA * Bernardete Ribeiro, University of Coimbra, Portugal Sponsors/Exhibit Chairs * James Dankert, BAE Systems, USA * Rosemary Paradis, Lockheed Martin, USA Publication Chairs * Danilo Mandic, Imperial College, London, UK * John Weng, Michigan State University, East Lansing, USA * Mariette Awad, American University of Beirut, Lebanon * Amir Hussain, University of Stirling, Scotland, UK

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Community Session on reproducibility in the neurosciences - 11th Göttingen meeting of the NWG
by Andrea Huber Brösamle March 2, 2015

March 2, 2015

----------------------------------------------------------- Community Session Reproducibility in the neurosciences Novel tools and links to the Human Brain Project (HBP) platforms and the International Neuroinformatics Coordinating Facility (INCF) ----------------------------------------------------------- We invite you to attend a Community Session on Reproducibility in the neurosciences taking place during the 11th Göttingen Meeting of the German Neuroscience Society. Date and Time: March 19th, 2015, 14:30-16:30h Location: University of Göttingen, Main Lecture Building, Room 1.141 Snacks and beverages will be served Recently, experiments gathering neuronal data in behaving animals as well as the corresponding data analysis workflows have dramatically gained in complexity. At present, this creates a lack of reproducibility impairing the reliability and efficiency of research. In this community session, the status and approaches to address this challenge will be reviewed and discussed. *Speakers:* Sonja Grün (Jülich Researach Centre & RWTH Aachen) Thomas Wachtler (G-Node, LMU Munich) Jeff Muller (EPFL, Lausanne) We are looking forward to seeing you in Göttingen. Community Session organizer: Sonja Grün (Jülich Researach Centre & RWTH Aachen)

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3rd CFP: EXTENDED DEADLINE Special Session on Quantifying Embodiment, ECAL'15
by Keyan Ghazi-Zahedi March 2, 2015

March 2, 2015

3rd CALL FOR PAPERS *** EXTENDED DEADLINE *** 13th European Conference on Artificial Life (ECAL 2015) Special Session on Quantifying Embodiment Session paper submission deadline: Monday, 16 March 2015 Notification of acceptance of papers: Friday, 24 April 2015 Paper Camera-Ready-Copy deadline: Monday, 18 May 2015 Conference convenes: 20-24 July 2015, York, United Kingdom Conference website: http://ecal2015.alife.org <http://ecal2015.alife.org/> Special Session website: http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html <http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html> There is a growing acknowledgement in the artificial life and artificial intelligence community that embodiment is a key for the understanding of cognitive systems. Despite the consensus about the importance of embodiment, there is no clear definition of what the agent’s embodiment actually is. We believe that a quantitative approach can help to answer this open question. This is inspired by Einstein’s answer to the question ”What is time?”, to which he replied ”Time is what clocks measure”. Although this seems to be a trivial answer, it reveals that what we mean by time depends on the way we measure it. We are interested in quantifications of embodiment from various view points and different fields. A non-exclusive list of examples is: • Quantifications of the embodiment’s effect on sensing • Quantifications of the embodiment’s effect on cognitive processes • Quantifications of the embodiment’s effect on acting • Quantifications of brain-body-environment separation We are open to quantifications from any formal approach. Examples are information theory and dynamical systems, but others are highly welcome too. The ideal outcome of the special session would be a good overview of different concepts and quantifications of embodiment and an understanding how they overlap and differ, thereby leading to a better understanding and a clearer picture of what embodiment actually is. Papers are submitted via the ECAL paper submission form and published in the conference proceedings. You need to select “Quantifying Embodiment” when you are submitting your paper. Special Session Chairs: Keyan Ghazi-Zahedi, Christoph Salge, Georg Martius, Daniel Polani

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PhD and Postdoc positions (eye-movements, stereo) at QMUL
by Miles Hansard March 2, 2015

March 2, 2015

PhD Studentship: Computational Analysis of Eye-Movements. School of EECS, Queen Mary, University of London. Applications are invited for a fully-funded PhD studentship, to conduct research into human eye-movements. The project will develop new computational models of visual behaviour, based on recent ideas from computer vision, spatial statistics and time-series analysis. The models will be tested in psychophysical experiments, and implemented in an open-source tool-kit. Supervised by Miles Hansard (computer vision, http://www.eecs.qmul.ac.uk/~milesh/) and Isabelle Mareschal (experimental psychology). All nationalities are eligible to apply, for details see: http://www.jobs.ac.uk/job/AKO352/phd-studentship-in-eye-movement-analysis/ -------------------------------------------------------------------------- Research Assistant: Geometric Evaluation of Stereoscopic Video. School of EECS, Queen Mary, University of London. This new project will develop a new approach to the evaluation of 3D content, based on computational models of human binocular vision. Disparity statistics will be computed from stereoscopic video, by a prototype system, for use in depth-grading and other post-production tasks. To work with Miles Hansard (http://www.eecs.qmul.ac.uk/~milesh/) in conjunction with a high-profile graphics and visual effects company. All nationalities are eligible to apply, for details see: http://www.jobs.ac.uk/job/ATT437/research-assistant/ -------------------------------------------------------------------------- -- http://www.eecs.qmul.ac.uk/~milesh/

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INCF Nodes Workshop in Warsaw, April 16-17
by Daniel Wójcik March 2, 2015

March 2, 2015

Dear Colleagues, Each Spring, the International Neuroinformatics Coordinating Facility (INCF; http://www.incf.org) holds the INCF Nodes Workshop. This is the main event bringing representatives from each Node country together to present their activities, begin and continue collaborations, and inspire the future directions of INCF: http://incf.org/activities/workshops/node-workshops/node-workshops The next workshop will be organized by the Polish Node of INCF, and will spotlight Polish neuroinformatics research in areas from molecular neuroscience to brain-computer interfaces and supercomputing. It will be held at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences (http://en.nencki.gov.pl/) in Warsaw, 16-17 April 2015, and will be the first Nodes Workshop open to the wider scientific community. Registration is free. Deadline for registration: * March 16* Workshop details: http://bit.ly/incf2015spring Looking forward to welcoming you in Warsaw, Daniel Wojcik On behalf of the Polish Node of INCF -- Daniel K. Wojcik, PhD, DSc 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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Systems and Computational Neuroscience Down Under (SCiNDU)
by Geoffrey Goodhill March 1, 2015

March 1, 2015

SCiNDU: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWN UNDER qbi.uq.edu.au/scindu<http://qbi.uq.edu.au/scindu> December 15-17th, 2015, Queensland Brain Institute, The University of Queensland, Brisbane, Australia This conference will bring together international leaders in understanding the computational principles underlying how neural circuits decode sensory information, make decisions, and learn from experience. Abstract submissions for poster presentation are welcome. Deadline for abstracts and early registration is Oct 16th 2015. Some abstracts will be selected for short talks. Confirmed invited speakers include: Ehsan Arabzadeh (ANU) Mark Bear (MIT) Michael Breakspear (QIMR) Allen Cheung (QBI) Yang Dan (UC Berkeley) Peter Dayan (UCL) Geoffrey Goodhill (QBI) Zach Mainen (Champalimaud) Jason Mattingley (QBI) Linda Richards (QBI) Peter Robinson (Sydney) Marcello Rosa (Monash) Pankaj Sah (QBI) Mandyam Srinivasan (QBI) Greg Stuart (ANU) Stephen Williams (QBI) Li Zhaoping (UCL) On December 15th the conference will be preceded by tutorials including: Mark Bear: Experience-dependent synaptic plasticity Peter Dayan: Neural reinforcement learning Jason Mattingley: Brain stimulation, attention and plasticity Li Zhaoping: Vision, efficient coding and salience We gratefully acknowledge financial support from the Queensland Brain Institute and the Australian Research Council Centre of Excellence for Integrative Brain Function. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Reminder: MBL Methods in Computational Neuroscience Course 2015: applications due March 5
by Mark Goldman Feb. 28, 2015

Feb. 28, 2015

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 29 to August 26, 2014, and the online application form can be found at: http://ws2.mbl.edu/studentapp/studentapp.asp?CourseID=MCN. The course application deadline is March 5. 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 development and 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/ 2015 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2015 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Jeff Beck, Duke University William Bialek, Princeton University Dmitri Chklovskii, HHMI Janelia Farm Peter Dayan, University College London Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Michael Frank, Brown University Surya Ganguli, Stanford University John Huguenard, Stanford University David Kleinfeld, UC San Diego Nancy Kopell, Boston University John Lisman, Brandeis University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Maneesh Sahani, University College London Terry Sejnowski, Salk Institute Michael Shadlen, Columbia University Josh Shaevitz, Princeton University Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University David Tank, Princeton University Josh Tenenbaum, MIT Srini Turaga, Janelia Farm Xiao-Jing Wang, NYU Daniel Wolpert, Cambridge University Ryohei Yasuda, Duke University

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a neural architecture for autonomous spatial and object attention, invariant object category learning and recognition, and Where’s Waldo search with freely moving eyes
by Stephen Grossberg Feb. 27, 2015

Feb. 27, 2015

The following series of articles progressively develop a neural architecture for autonomous spatial and object attention, invariant object category learning and recognition, and Where’s Waldo search with freely moving eyes: ARTSCAN View-invariant object category learning and recognition with freely moving eyes in a 2D scene Fazl, A., Grossberg, S., and Mingolla, E. (2009). View-invariant object category learning, recognition, and search: How spatial and object attention are coordinated using surface-based attentional shrouds. Cognitive Psychology, 58, 1-48. http://cns.bu.edu/~steve/FazGroMin2008.pdf pARTSCAN View-, position-, and size-invariant object category learning and recognition with freely moving eyes in a 2D scene Cao, Y., Grossberg, S., and Markowitz, J. (2011). How does the brain rapidly learn and reorganize view- and positionally-invariant object representations in inferior temporal cortex? Neural Networks, 24, 1050-1061. http://cns.bu.edu/~steve/NN2853.pdf dARTSCAN ARTSCAN with transient and sustained distributed attention and prefrontal priming in a 2D scene Foley, N.C., Grossberg, S. and Mingolla, E. (2012). Neural dynamics of object-based multifocal visual spatial attention and priming: Object cueing, useful-field-of-view, and crowding. Cognitive Psychology, 65, 77-117. http://cns.bu.edu/~steve/FolGroMin2012.pdf ARTSCAN SEARCH Solution of Where’s Waldo Problem: finding a valued object in a 2D scene Chang, H.-C., Grossberg, S., and Cao, Y. (2014) Where's Waldo? How perceptual cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene. Frontiers in Integrative Neuroscience, doi: 10.3389/fnint.2014.0043. http://journal.frontiersin.org/Journal/10.3389/fnint.2014.00043/full 3D ARTSCAN ARTSCAN of a 3D scene whose 3D perceptual representations remain stable as the eyes move Grossberg, S., Srinivasan, K., and Yazdanbakhsh, A. (2014). Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements. Frontiers in Psychology: Perception Science, doi: 10.3389/fpsyg.2014.01457. http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.01457/full Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems http://www.cns.bu.edu/about/cas.html http://cns.bu.edu/~steve steve(a)bu.edu

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ECMLPKDD 2015 : Call for Papers, Tutorials and Workshops
by ECMLPKDD 2015 Feb. 27, 2015

Feb. 27, 2015

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) will take place in Porto, Portugal, from September 7th to 11th, 2015 (http://www.ecmlpkdd2015.org) This event is the leading European scientific event on machine learning and data mining and builds upon a very successful series of 25 ECML and 18 PKDD conferences, which have been jointly organized for the past 14 years. ECMLPKDD 2015 will host three tracks, tutorials and a set of workshops. Therefore, we invite all researchers and practitioners from different communities to submit papers and/or present tutorial and workshop proposals. ************************* CALL FOR PAPERS ************************* JOURNAL TRACK ********************* Articles for this track are submitted all year long directly to either Machine Learning or Data Mining and Knowledge Discovery, and are reviewed like regular journal articles. Accepted articles appear in full in the journal and the authors are given a presentation slot at the conference. Articles deemed insufficiently mature for journal publication may be accepted for inclusion in the proceedings. Submissions to the journal track will be managed by the Guest Editorial Board. Paper Submission: Cut-off dates for the bi-weekly batches are 18 Jan, 1 Feb, 15 Fev, 1 Mar, 15 Mar, 29 Mar, 12 Apr, 26 Apr of 2015 Web Page: http://www.ecmlpkdd2015.org/submission/journal-track RESEARCH PROCEEDINGS TRACK ******************************************* The research proceedings track, which is organized in the traditional way. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/research-proceedings-track INDUSTRIAL, GOVERNMENTAL & NON-GOVERNMENTAL PROCEEDINGS TRACK **************************************************************************** ************************** The NEW industrial, governmental & non-governmental (NGO) proceedings track is independent and distinct from the Research Track. Submissions to this track should solve real-world problems and focus on engineering systems, applications, and challenges. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/industrial-proceedings-track ***************************************************************** CALL FOR TUTORIAL AND WORKSHOP PROPOSALS ***************************************************************** TUTORIALS ************** The tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen research area, but it should also cover the most important topics in depth. We welcome half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-tutorials WORKSHOPS **************** The workshops will be on relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECMLPKDD 2015 Call for Papers (http://www.ecmlpkdd2015.org/submission) Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important and/or innovative applications of machine learning and data mining. We welcome both full and half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Workshop Websites and Call for Papers Online: March 27, 2015 Workshop Proceedings (Camera-ready): August 3, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-workshop-proposals Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECMLPKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Postdoctoral position in Computational Neuroscience at IUPUI
by Yaroslav Molkov Feb. 27, 2015

Feb. 27, 2015

A postdoctoral/research associate position in computational neuroscience is available immediately in the NIH funded project focusing on multiscale computational modeling of interactions between respiratory central pattern generator and sympathetic nervous system as it relates to neurogenic hypertension. This collaborative project is performed by the groups of Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA), Ana Abdala (University of Bristol, UK) and Daniel Zoccal (Sao Paulo State University, Brazil). Excessive sympathetic activity plays a crucial role in the development and maintenance of hypertension. Such autonomic dysfunction is observed in hypertensive patients with obstructive sleep apnea (OSA). Chronic exposure to intermittent hypoxia (CIH) that occurs in OSA is the main factor leading to sympathetic overactivity and hypertension. A CIH-driven increase in sympathetic output is largely dependent on the emergence of active expiratory pattern. The respiratory central pattern generator (rCPG) is composed of two interacting oscillators. The first occupies Bötzinger/pre-Bötzinger complexes and generates self-sustained respiratory rhythm controlling the diaphragm to provide inspiration. The second oscillator, the parafacial respiratory group (pFRG), resides in the retrotrapezoid nucleus (RTN). The RTN/pFRG oscillations emerge in hypoxic and hypercapnic conditions, and drive motor output to abdominal muscles for active (forced) expiration. Interactions of these respiratory circuits with the sympathetic neurons of the rostral and caudal ventrolateral medulla evoke respiratory-related oscillations in sympathetic efferent drive. Exposure to CIH leads to alterations in excitability of RTN/pFRG neuronal population and/or modifications in synaptic connections between respiratory oscillators and sympathetic neurons which ultimately results in the elevated baseline sympathetic activity and arterial pressure. This interdisciplinary project aims to reveal the mechanisms that couple breathing and control of blood pressure in the brain in health and disease, and for the first time translate them into a realistic computational model. Such a model will have the unprecedented potential for generating effective non-pharmacological means of controlling blood pressure and breathing via implantable biofeedback devices (e.g. vagus nerve stimulation) and non-invasive devices for guided control of autonomic function (e.g. device-guided paced respiration). Furthermore, it will provide a robust scientific substrate for evaluating the usefulness and safety of alternative medicine interventions, such as controlled breathing practices, for lowering blood pressure and improving heart rate variability. Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent programming skills (C++, Matlab, UNIX). Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Molkov ( ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Application processing will begin immediately and the search will remain open until the position is filled. Best Regards, Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Postdoctoral positions available in Sophie Deneve's team, Group for Neural Theory, Ecole Normale supérieure, Paris
by Sophie Deneve Feb. 26, 2015

Feb. 26, 2015

Two postdoctoral positions are available in the group of Sophie Deneve, Ecole Normale supérieure Paris. Positions are for one year, renewable one year, and comes with competitive salary and generous equipment and travel funds. The team is part of the “Group for neural theory” ( http://iec-lnc.ens.fr/group-for-neural-theory/) and surrounded by top-level theoretical and experimental labs. Candidates are expected to have a solid training in the field of computational neuroscience, proven quantitative and programming skills and a strong interest in integrative/cognitive neuroscience. Starting dates are flexible, but should preferentially occur before September 2015. Possible projects include: Starting from the hypothesis that biological networks are optimally tuned to maximize coding efficiency and robustness, we will design new tools to analyze their dynamics and function. We will identify functionally relevant, low-dimensional structures in large neural datasets (spontaneous and stimulus-driven multi-unit activity in retina, visual cortex, and/or in Zebrafish whole brain recordings). Sensory neurons are often described in terms by their receptive fields. On the other hand, “generative models” (and more generally, efficient coding) assume that neurons collectively try to predict their stimuli. In such scenarios, prior assumptions, metabolic constrains and context deeply reshape neural selectivity. We will consider implications for learning, attentional modulation and/or hierarchical neural processing. Candidates should send their application to sophie.deneve(a)ens.fr by *March 31, 2015*. Please mention “postdoctoral candidate” in the subject of the email. Application should take the form of a single PDF file, containing a CV, motivation letter, names and email addresses of 2 to 3 referees. No official letter of recommendations are required, as the referee will be contacted directly. Best wishes, -- Dr Sophie Deneve Group for Neural Theory Laboratoire de Neurosciences cognitives ENS-INSERM 29, rue d'Ulm, 75005 Paris, France Tel. (+33) (0)1 44 32 26 35

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New Paper on Network Dynamics of the Human Brain
by Xerxes D. Arsiwalla Feb. 26, 2015

Feb. 26, 2015

Dear Colleagues, For your interest, our paper on dynamics of the human connectome is now available open access. http://journal.frontiersin.org/article/10.3389/fninf.2015.00002/abstract Network Dynamics with BrainX3: A Large-Scale Simulation of the Human Brain Network with Real-Time Interaction Arsiwalla XD, Zucca R, Betella A, Martinez E, Dalmazzo D, Omedas P, Deco G and Verschure PFMJ (2015) Front. Neuroinform. 9:02. doi: 10.3389/fninf.2015.00002 Abstract BrainX3 is a large-scale simulation of human brain activity with real-time interaction, rendered in 3D in a virtual reality environment, which combines computational power with human intuition for the exploration and analysis of complex dynamical networks. We ground this simulation on structural connectivity obtained from diffusion spectrum imaging data and model it on neuronal population dynamics. Users can interact with BrainX3 in real-time by perturbing brain regions with transient stimulations to observe reverberating network activity, simulate lesion dynamics or implement network analysis functions from a library of graph theoretic measures. BrainX3 can thus be used as a novel immersive platform for exploration and analysis of dynamical activity patterns in brain networks, both at rest or in a task-related state, for discovery of signaling pathways associated to brain function and/or dysfunction and as a tool for virtual neurosurgery. Our results demonstrate these functionalities and shed insight on the dynamics of the resting-state attractor. Specifically, we found that a noisy network seems to favor a low firing attractor state. We also found that the dynamics of a noisy network is less resilient to lesions. Our simulations on TMS perturbations show that even though TMS inhibits most of the network, it also sparsely excites a few regions. This is presumably due to anti-correlations in the dynamics and suggests that even a lesioned network can show sparsely distributed increased activity compared to healthy resting-state, over specific brain areas.

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Workshop announcement: HBP Hippocamp CA1
by Szabolcs Káli Feb. 26, 2015

Feb. 26, 2015

Dear Colleagues, Registration is now open for the workshop "HBP Hippocamp CA1: Collaborative and Integrative Modeling of Hippocampal Area CA1", to be held March 31st - April 1st, 2015 at UCL School of Pharmacy in London, supported by the Human Brain Project (www.humanbrainproject.eu) In short, the aims of the workshop are two-fold. First, to engage the larger community of experimentalists and modelers working on hippocampus, and highlight existing modeling efforts and strategic datasets for modeling hippocampal area CA1. Second, to define and bootstrap an inclusive community-driven model and data-integration process to achieve open pre-competitive reference models of area CA1 (and, ultimately, the rest of the hippocampus), which are well documented, validated, and released at regular intervals (supported in part by IT infrastructure funded by HBP). Involvement from the community interested in characterization and modeling of the hippocampus is highly encouraged. To keep the meeting focused on the task, participation will be limited to ~30 people, so registration is required. Please consult the meeting website at http://neuralensemble.org/meetings/HippocampCA1/ for registration and further details. Organizing committee: Jo Falck (UCL), Szabolcs Káli (Hungarian Academy of Sciences), Sigrun Lange (UCL), Audrey Mercer (UCL), Eilif Muller (EPFL), Armando Romani (EPFL) and Alex Thomson (UCL). Best regards, Szabolcs Káli Laboratory of Cerebral Cortex Research Institute of Experimental Medicine Hungarian Academy of Sciences H-1083 Budapest Szigony utca 43. Phone: +36-1-2109413 Fax: +36-1-2109412 E-mail: kali.szabolcs(a)koki.mta.hu www.koki.mta.hu

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Tenth Advanced Statistics and Data Mining Summer School (Madrid, June 29th - July 10th, 2015)
by asdm＠fi.upm.es Feb. 26, 2015

Feb. 26, 2015

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the 'Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 29th - July 3rd, 2015) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 6th - July 10th, 2015) * 1st session: 9:45-12:45 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python). Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

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Call for Papers ( Frontiers in Computational Neuroscience): Special Issue on Neuropsychology through the lenses of Computational Modelling
by Eirini Mavritsaki Feb. 25, 2015

Feb. 25, 2015

Call for Papers Special Issue in Frontiers in Computational Neuroscience 'Neuropsychology through the lenses of Computational Modelling' Extended Deadline for Abstract Submission 16th of March Computational modelling may provide an increasingly important tool for furthering neuropsychology and understanding brain impairments – but there remain many issues: how can different types of lesion be best modelled? What are the differences between damage to grey matter and to fibre tracts? What the effects of learning within damaged systems or systems where there is an imbalance in neurotransmitters? For this reason a special issue that brings together state-of-the-art papers on the computational modelling of neuropsychological disorders, with papers covering different levels of modelling (from spiking neurons to higher-level connectionist modelling), using imaging as well as behavioural data, and addressing a number of different disorders (attention, language, memory etc.) is expended to contribute significantly to the field of Neuropsychology and Computational Neuroscience. In collaboration with Frontiers in Computational Neuroscience, we are organizing a Research Topic titled "Neuropsychology through the lenses of computational modelling”, hosted by Eirini Mavritsaki, Glyn Humphreys. As host editor, I would like to encourage you to contribute to this topic. Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Computational Neuroscience) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neurop…. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. I would be delighted if you considered participating in this Research Topic. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Feb 16, 2015 using the following link: http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neurop… Please note that the deadline for manuscript submission is on: Jun 30, 2015 Since I am using the Frontiers system to manage this topic, I would really appreciate if you could also please indicate your decision by clicking on one of the links below. <<Variable for accept/decline links – do not edit!>> With best regards, Eirini Mavritsaki Guest Associate Editor, Frontiers in Computational Neuroscience www.frontiersin.org ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Co-Director of the Centre for Applied Psychological Research (CAP Research) Business Development Coordinator for Social Sciences Senior Lecturer in Cognitive Psychology Faculty of Business Law and Social Sciences Birmingham City University D 3.17 Dawson Building City North Campus Perry Bar, Birmingham B42 2SU eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Master's program Cognitive sciences and technologies: from neuron to cognition
by Alex Ossadtchi Feb. 25, 2015

Feb. 25, 2015

National Research University Higher School of Economics, Moscow invites applications for a 2-year Master's program Cognitive sciences and technologies: from neuron to cognition” The 2-year Master’s Program “Cognitive sciences and technologies: from neuron to cognition” invites highly-motivated students to apply. The English-speaking Master's Program is designed for students interested in connecting cognition, neuroscience and computer science. The earliest applications have the higher chances to get the total tuition fee exemption. Scholarships are also available. Leading European and Russian scientists form the HSE research center of excellence teach cognitive science, neuroimaging and modeling. Program’s Web site http://psy.hse.ru/cogito Application period for non-residents: January 1, 2015 - July 15, 2015. Early applications (before March 30) are encouraged. Location: The Higher School of Economics, Moscow, Russia. Additional info: http://www.hse.ru/ma/cogito/announcement Email: cogito(a)hse.ru

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Job opportunity
by jose luis perez velazquez Feb. 25, 2015

Feb. 25, 2015

Please, post this job opportunity. Thanks Our group at the Hospital for Sick Children and the University Health Network in Toronto is offering a full-time research position for 2 years to work on the neurophysiological bases of hypnosis, starting around May 2015, with a stipend of $40,000/year. In this project we will investigate the neurophysical alterations that accompany hypnotic stages and simple memory tasks using intracranial electroencephalography (iEEG) in individuals undergoing standard clinical assessment for their epilepsy. While several studies have advanced the view that hypnosis results in the dissociation, or “disconnection”, between frontal cortices and other brain areas, this evidence has been mainly obtained with non-invasive recordings such as functional neuroimaging. iEEG provides an exceptional opportunity to investigate with high spatial and temporal resolution changes in activity associated with alterations in cognitive states, thus overcoming typical problems that arise during source reconstruction from non-invasive recordings. The experimental procedures that the incumbent will carry out include the preparation and coding of the tasks to be presented to patients during control and mental imagery relaxation states. The incumbent will thus be taught how to administer mental imagery relaxation techniques and associated technicalities involved in such activities. Data analysis will require experience with typical digital signal processing for brain recordings such as power spectra and coherence, among others. Some scripts are already available in MATLAB and FieldTrip for signal processing, and the incumbent will have the chance, and would be encouraged to create his/her own codes, with the assistance of the members of the team. There are two *absolute requirements* for the incumbent: first, an excellent knowledge of coding in MATLAB and willingness to implement experimental tasks using Presentation, PsychoPy, or Psychtoolbox and, second, the ability to learn how to put patients at ease and coach them through the mental imagery relaxation technique that will be taught by one of the members of our team who practices this in his clinic. Specific knowledge of neurophysiology is not required but it will facilitate the project. Nevertheless, the incumbent will have plenty of opportunities to become familiar with neurophysiological techniques, concepts and analysis. The combined expertise of our team, that includes electrophysiological recordings, brain coordination dynamics and psychology, plus the several activities in our institutions, offer an excellent environment for a motivated student of the brain and behaviour. We think that this is a very interesting and innovative project and thus we are seeking a person who is not afraid of facing advanced brain recording methods and analysis of the psychophysics of altered states of consciousness. Those interested should contact and submit a CV to Jose Luis Perez Velazquez, jlpv(a)sickkids.ca, or jose-luis.perez-velazquez(a)sickkids.ca. A couple of potential references may be added to the CV.

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*** ICCM 2015 – Call for Participation ***
by ICCM 2015 Feb. 25, 2015

Feb. 25, 2015

Dear all, We would like to invite you to the 13th International Conference on Cognitive Modeling: the premier conference for research on computational models and computation-based theories of human cognition. ICCM 2015 will take place from April 9-11 in Groningen, the Netherlands, with tutorials on April 8. We are pleased to announce three world-class invited speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience), Mark Steyvers (University of California, Irvine), and John Anderson (Carnegie Mellon University). In addition to these keynotes, we will have three symposia, 27 research talks, and two poster sessions. A preliminary schedule is available on www.iccm2015.org/schedule, and registration is open. More information can be found on http://www.iccm2015.org. We hope to see you in Groningen! Niels Taatgen Marieke van Vugt Jelmer Borst Katja Mehlhorn

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Masterclass, rTMS and Neurofeedback training courses
by Martijn Arns Feb. 25, 2015

Feb. 25, 2015

Masterclass Neuromodulation, Neurofeedback and rTMS View this email in your browser<http://us3.campaign-archive2.com/?u=3bac2a7f26a60f0ffa7edd46d&id=c068f6a6e8…> [https://gallery.mailchimp.com/3bac2a7f26a60f0ffa7edd46d/images/663f9d66-cd0…] * 2nd Masterclass Neuromodulation<http://brainclinics.us3.list-manage1.com/track/click?u=3bac2a7f26a60f0ffa7e…> * 4-day Neurofeedback Training<http://brainclinics.us3.list-manage2.com/track/click?u=3bac2a7f26a60f0ffa7e…> * 2-day rTMS course<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> Dear colleague, Due to a successful sold out Masterclass Neuromodulation and Personalized Medicine<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> last January, we have just planned a second edition of this Masterclass on September 25-26, 2015. So when interested in getting a full update on neuromodulation techniques such as rTMSand neurofeedback and imaging updates on QEEG, ERP's, Personalized medicine in ADHD and Depression and the default mode network: Sign-up now<http://brainclinics.us3.list-manage2.com/track/click?u=3bac2a7f26a60f0ffa7e…>, there are only a limited number of places! Furthermore, there are still some places for the upcoming 4-day Neurofeedback in ADHD and Insomnia training course on April 21-24 and 2-day rTMS in Depression and OCD training course on June 11-12, also see our website<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…>. These courses are intended for academics, researchers and clinicians who want to learn to apply these techniques in clinical practice and research settings, or who want to further specialize in these techniques or disorders. Kind regards, Martijn Arns, PhD Twitter: @Brainclinics Research Institute Brainclinics Brainclinics Education URL: www.brainclinics.com<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> [https://gallery.mailchimp.com/3bac2a7f26a60f0ffa7edd46d/images/9014488f-a41…]

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Brains, Minds and Machines Summer Course 2015 -- Deadline March 5, 2015
by Kreiman, Gabriel Feb. 23, 2015

Feb. 23, 2015

Brains, Minds and Machines Summer Course 2015 http://www.mbl.edu/education/special-topics-courses/brains-minds-and-machin… When: August 13 – September 3, 2015 Where: Woods Hole, Massachusetts (MBL) Directors: Gabriel Kreiman, Tomaso Poggio (L. Mahadevan, honorary director) Application deadline: March 5, 2015 This intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines. Today’s AI technologies, such as Watson and Siri and Deep Learning, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines *and* to begin understanding how the brain produces the mind. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science. The first half of the course will focus on the intersection between biological and computational aspects of learning and vision. The second half will focus on high-level social cognition and artificial intelligence, as well as audition, speech and language processing. Throughout the course, students will participate in tutorials to gain hands on experience with these topics. The course will include presentations by world leaders in the field, discussions with relevant industrial companies interested in AI, hands-on tutorials, evening debates and discussions. Additionally, students will be working on cutting-edge research projects directly guided and mentored by the faculty. This course is organized by the Center for Minds, Brains and Machines: https://cbmm.mit.edu/ Course instructors will include: Tomaso Poggio Gabriel Kreiman Nancy Kanwisher Winrich Freiwald Matt Wilson Josh Tenenbaum Liz Spelke Boris Katz L Mahadevan Jim DiCarlo Aude Oliva Josh McDermott Gabriel Kreiman klab.tch.harvard.edu Use "9265358979" anywhere in the message body to ensure that your message navigates through anti spam filters

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Junior faculty position in Computational Neuroscience at GSU
by Andrey Shilnikov Feb. 23, 2015

Feb. 23, 2015

Hello, please post this information on the forum. Thank you. Junior faculty position in Computational Neuroscience at GSU The Neuroscience Institute at Georgia State University (GSU) invites applications for a tenure track position at the rank of Assistant Professor pending budgetary approval. The ideal candidate will establish a research program that synergizes with existing key strengths in the Neuroscience Institute in behavioral neuroscience, computational neuroscience, neuroendocrinology, and neuroplasticity. Preference will be given to researchers with expertise and a publication record using state-of-the art methodologies. Candidates must hold a Ph.D. or M.D. in a discipline related to neuroscience and should demonstrate the ability to establish a vigorous, externally funded research program and to mentor Ph.D. graduate students. Excellence in teaching at undergraduate and graduate levels is also expected. Candidates should have an outstanding record of accomplishment and a strong desire for research collaboration. The successful candidate would become a core member of the Neuroscience Institute, which is a thriving department housed in the Petit Science Center that provides world-class facilities and an interdisciplinary and collaborative research environment (see http://neuroscience.gsu.edu) A highly competitive salary, start-up funds and laboratory space will be provided. Applications should include a full curriculum vita, names and contact information for three references, and statements of research interests and teaching philosophy. Applications can be submitted either electronically in PDF format to ni-selection-committee(a)gsu.edu<mailto:ni-selection-committee@gsu.edu> or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Application processing will begin immediately and the search will remain open until the positions are filled. Georgia State University, a Research University of the University System of Georgia, is an EEO/AA employer and encourages applications from women and under-represented minority groups. Offers of employment will be conditional upon background verification. With best regards, Andrey Andrey Shilnikov, PhD Professor Neuroscience Institute Department of Mathematics & Statistics Georgia State University 100 Piedmont Ave Atlanta GA 30303 tel 404.413.6423 e-mail: ashilnikov(a)gsu.edu<mailto:ashilnikov@gsu.edu> http://www.ni.gsu.edu/~ashilnikov

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2nd CFP: Special Session on Quantifying Embodiment, ECAL 2015
by Keyan Ghazi-Zahedi Feb. 22, 2015

Feb. 22, 2015

*** 2nd CALL FOR PAPERS *** 13th European Conference on Artificial Life (ECAL 2015) Special Session on Quantifying Embodiment Session paper submission deadline: 2 March 2015 Notification of acceptance of papers: 17 April 2015 Paper Camera-Ready-Copy deadline: 18 May 2015 Conference convenes: 20-24 July 2015, York, United Kingdom Conference website: http://ecal2015.alife.org <http://ecal2015.alife.org/> Special Session website: http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html <http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html> There is a growing acknowledgement in the artificial life and artificial intelligence community that embodiment is a key for the understanding of cognitive systems. Despite the consensus about the importance of embodiment, there is no clear definition of what the agent’s embodiment actually is. We believe that a quantitative approach can help to answer this open question. This is inspired by Einstein’s answer to the question ”What is time?”, to which he replied ”Time is what clocks measure”. Although this seems to be a trivial answer, it reveals that what we mean by time depends on the way we measure it. We are interested in quantifications of embodiment from various view points and different fields. A non-exclusive list of examples is: • Quantifications of the embodiment’s effect on sensing • Quantifications of the embodiment’s effect on cognitive processes • Quantifications of the embodiment’s effect on acting • Quantifications of brain-body-environment separation We are open to quantifications from any formal approach. Examples are information theory and dynamical systems, but others are highly welcome too. The ideal outcome of the special session would be a good overview of different concepts and quantifications of embodiment and an understanding how they overlap and differ, thereby leading to a better understanding and a clearer picture of what embodiment actually is. Papers are submitted via the ECAL paper submission form and published in the conference proceedings. Special Session Chairs: Keyan Ghazi-Zahedi, Christoph Salge, Georg Martius, Daniel Polani

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[Call for applications] *Graduate Programs ín Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships; *Three weeks until deadline*
by Robert Martin Feb. 22, 2015

Feb. 22, 2015

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2015* *THREE WEEKS TO GO* Begin of courses: October 2015 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *7 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/menue/sensory_computation_in_neural…) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... see: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

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CNS 2015 Abstract submission deadline extended to March 1, 2015
by Tam, Nicoladie Feb. 22, 2015

Feb. 22, 2015

CNS 2015 Abstract Submission Deadline extended to March 1, 2015. Organization for Computational Neurosciences (OCNS) 24th Annual Meeting Prague, Czech Republic July 18-23, 2015 The main meeting (July 19-21) will be preceded by a day of tutorials (July 18) and followed by two days of workshops (July 22-23). Invited Keynote Speakers: Jack Cowan, University of Chicago, USA Gustavo Deco, Universitat Pompeu Fabra, Spain Adrienne Fairhall, University of Washington, USA Wulfram Gerstner, EPFL, Switzerland Registration will open on January 14, 2015. Abstract submission will open on January 15, 2015 and close on extended deadline on March 1, 2015. (This will be the last extension of deadline.) Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2015-prague

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Phd Neural robots
by Mark Elshaw Feb. 22, 2015

Feb. 22, 2015

Dear all Please see the PhD Studentship at Coventry University in the area of neural robots. http://www.coventry.ac.uk/research/research-students/research-studentships/… If you would like to discuss this PhD. Do not hesitate to contact me at mark.elshaw(a)coventry.ac.uk<mailto:mark.elshaw@coventry.ac.uk>. Best regards Mark ------------------------- Dr Mark Elshaw Lecturer in Computer Science Coventry University

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