- Comp-neuro - lists.cnsorg.org

Opening for Microfabrication and Sensors Technician in the Center for Bioelectronic Medicine
by Platt, Jo Ann 06 Sep '16

06 Sep '16

Join our team to revolutionize medicine. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is recruiting for multiple positions in the fields of neurophysiology, neural engineering, microfabrication, bioelectronics and biosensing, and neural decoding and data analytics. MICROFABRICATION LAB open position: Microfabrication and Sensors Technician Duties & Responsibilities The Microfabrication and Sensors Technician will fabricate neural implants and sensor systems, assist with research, and collaborate with Institute faculty, staff, fellows and students in the areas of microfabrication and sensor development. The successful candidate will: • Provide experimental and fabrication support to projects aimed at developing chronic implants for the brain and nerves and associated sensing systems • Fabricate flexible microdevices and sensor systems • Assist with experiments, organize and analyze data, and report experimental results • Assist with maintenance and procurement of equipment and supplies relating to microdevice fabrication Basic Qualifications • College background in Bioengineering, Mechanical, Electrical, or Materials Engineering, Physical Sciences, Biomedical fields or a related field • Experimental background in at least one of the fields of microfabrication, sensors, or microfluidics • One or more years’ experience in microelectromechanical systems (MEMS), biological microelectromechanical systems (BioMEMS) or micro- and nanofabrication or related experience desirable. Education may count towards experience. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. Projects will focus on determining which nerve fibers exert control, the types of signals those fibers use, and how these signals can be manipulated to treat diseases and conditions such as rheumatoid arthritis, paralysis, Crohn’s disease, Alzheimer’s disease, diabetes and even cancer. Please forward CVs to the Center for Bioelectronic Medicine at CBEM(a)northwell.edu Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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FENS Hertie Winter School 2016 - Memory mechanism in humans.
by Quian Quiroga, Rodrigo (Prof.) 06 Sep '16

06 Sep '16

***Apologies for multiple postings*** Dear all, This is to announce the FENS (Federation of European Neuroscience Societies) winter school, organised in collaboration with the Hertie Foundation, on: Memory mechanisms in humans: from physiology to behaviour and computational models http://www.fens.org/Training/FENS-Schools/FENS-Hertie-Winter-School-2016/ Through extensive interactions with leaders in the field, the school will provide a comprehensive overview of both the basic and the latest knowledge about memory functions and their underlying mechanisms in humans. The school is aimed at PhD students and postdocs, preferably working on memory or with a strong interest in this area. Date: 11-17 December 2016 Location: Universitätszentrum, Obergurgl, Austria http://www.uz-obergurgl.at/english/how-to-get-there Course Directors: Rodrigo Quian Quiroga, University of Leicester, UK Simon Thorpe, CNRS – CerCo, Toulouse University, France Faculty Members: Roberto Cabeza - Duke University – USA Christian Döller - Donders Institute - The Netherlands Yadin Dudai - Weizmann Institute - Israel Emrah Duezel - University College London - UK Howard Eichenbaum - Boston University - USA Guillen Fernandez - Donders Institute - The Netherlands Edmund Rolls - Oxford University - UK Andreas Tolias - Baylor College of Medicine, USA Alessandro Treves - International School for Advanced Studies (SISSA) - Italy Sylvia Wirth - Univerisity of Lyon - France Applications: http://www.fens.org/Training/FENS-Schools/FENS-Hertie-Winter-School-2016/ Deadline: 12th September 2016. For any questions please contact: Mathilde Maughan (FENS Schools Administration) at: schools(a)fens.org Best, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Post-doctoral positions (x3) and PhD candidate (x1) positions in neuroimaging data analysis
by Marquand, A.F. (Andre) 06 Sep '16

06 Sep '16

We have vacancies for three excellent post-doctoral research associates and one PhD student in the Statistical Imaging Neurosciences group at the Donders Institute for Brain Cognition and Behaviour and the Radboud University Medical Centre, Nijmegen, the Netherlands. These positions will be supervised by Prof. Christian Beckmann and Dr. Andre Marquand and will focus on the development of novel computational and machine learning methods for the analysis of neuroimaging data. The roles are part of different but related projects which have general aims of creating advanced practical tools for multivariate statistical analysis of neuroimaging data and for predicting clinical variables from these data. The group has a strong interest in pattern recognition methods and exploratory data analysis (e.g. Independent Component Analysis) with specific applications of ICA for the investigation of functional connectivity inferred from resting-state fMRI. We aim for an interdisciplinary research approach integrating cognitive neuroimaging, pharmacology, genetics, and applications in diverse clinical disciplines with well-established international collaborations. Requirements Post-doctoral positions: Completion of doctoral degree in a numerate discipline such as statistics, computer science, engineering, cognitive neuroscience / psychology or other relevant field of study. Doctoral candidate: Completion of an undergraduate (and ideally also master's level) degree in one of these fields. Applicants should be able to demonstrate a strong academic track-record, including publications in international journals. These individual should be proficient in fMRI research and have experience with the usage of one or more of the common neuroimaging data analysis platforms (e.g. FSL, SPM, FreeSurfer or AFNI) plus programming skills using MATLAB, Python, R and/or C++. Organization The Donders Institute for Brain, Cognition and Behaviour (http://www.ru.nl/donders/) offers a unique, multidisciplinary working and learning environment with opportunities for developing expertise in a diversity of research areas and techniques. The centre is equipped with three MRI scanners (2 x 3T, 1.5T) and access to a high field (7T) MR system plus a 275-channel MEG system, an EEG-TMS laboratory, several (MR-compatible) EEG systems, and high-performance computational facilities. Website: http://www.ru.nl/donders/ Conditions of employment Employment: 1,0 FTE. Your starting salary will be commensurate with experience. In addition to the monthly gross salary, you will receive two yearly 8% bonuses (holiday and end-of-year). International applicants may qualify for significant income tax reduction under the Netherlands 30% Rule. The post-dotcoral positions are for three years in the first instance (12 months probation period) with a possible extension. The PhD studentship is for four years. Application Please send your application, including a motivation letter, statement of research interest, CV and names with addresses of three persons who can provide references to Christian Beckmann at c <dot> beckmann <at> donders.ru.nl and Andre Marquand a <dot> marquand <at> donders.ru.nl Closing date: Review of applications will continue until the positions are filled.

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[IJCNN 2017] Approaching deadline on Thursday, 15th September 2016
by Teng Teck Hou 06 Sep '16

06 Sep '16

[Apologies for cross-postings] ################################################## COMBINED CALLS [DUE ON THURSDAY, 15 SEPTEMBER] CALL FOR COMPETITIONS http://www.ijcnn.org/call-for-competition CALL FOR SPECIAL SESSIONS http://www.ijcnn.org/call-for-special-sessions CALL FOR PANELS http://www.ijcnn.org/call-for-panels CALL FOR WORKSHOPS http://www.ijcnn.org/call-for-workshops CALL FOR TUTORIALS http://www.ijcnn.org/call-for-tutorials CALL FOR PAPERS http://www.ijcnn.org/call-for-papers CALL FOR SPONSORS http://www.ijcnn.org/call-for-sponsors International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Special Session, Panel Sesion & Competition Proposals September 15, 2016 * Tutorial and Workshop Proposals October 15, 2016 * Paper Submission November 15, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Stephen Grossberg, Boston University, USA * Christof Koch, Allen Institute for Brain Science, USA * Hava Siegelmann, DARPA, and University of Massachusetts, Amherst, USA * Jose Principle, University of Florida, USA #################################################################### ##########################Call for Competitions########################## Competition organizers are kindly invited to submit their proposals to IJCNN2017 Competition Chair (TBA) by September 15, 2016. The notifications of acceptance of the competition proposals will be provided by TBA and will be shortly publish in the IJCNN 2017 website. Please note that each accepted competition will be published in a separate web link. The competition proposal should contain the following information (please fill out the form at the bottom of this page, or send the required information in the form as a single pdf file to the competition chair [email below]) The aims and objectives of the competition, The rules of the competition, including which data sets will be used, How the competition will serve the neural networks community/society, How to enter the competitions and how to evaluate them, and Which competition platform (or result submission and validation method) you will use (e.g. similar to Kaggle). Summary of performance results directly reported by the competition participants and not verified by the competition organizers are not acceptable. Please note that you need to select a category for your competition from the following list: * Category A: You are planning to organise an associated special session, in which the proposal must be submitted separately to the special session chairs. In addition, you require that each team must submit at least one paper to the special session. * Category B: You are planning to organise an associated special session, whose proposal must be also submitted separately to the special session chairs. However, submission of papers to the special session by competition participants is not mandatory. * Category C: You have no plan to organize an associated special session. Note: For categories B and C, please also indicate whether or not conference participation is required for each entry. Sponsorship A winning certificate and free registration will be provided to the winner of each competition who attends IJCNN 2017. For further details, please refer to http://www.ijcnn.org/call-for-competition. If you need any other information, please do not hesitate to contact the IJCNN2017 Competition Chair: Juyang (John) Weng, Michigan State University. E-mail: weng(a)cse.msu.edu ######################################################################### ##########################Call for Special Sessions########################## The IJCNN 2017 Program Committee solicits proposals for special sessions within the technical scopes of the conference. Special sessions, to be organized by international recognized experts, aim to bring together researchers focused in special, novel, and challenging topics. Fast-developing themes such as Deep Learning, Big Data, or applications to fields like chemistry, biology, computer games, robotics, etc. are examples. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the regular sessions. Researchers interested in organizing special sessions are invited to submit a formal proposal using the on-line form of the Special Sessions webpage. Due to large expected number of submissions, please do not directly email the information to the special session co-chairs Derong Liu, University of Chicago & Chinese Academy of Sciences. Beijing, and Tatiana Tambouratzis, University of Piraeus, Greece. For further details, please refer to http://www.ijcnn.org/call-for-special-sessions Any questions regarding this proposal can be asked to the Special Session Chairs: Derong Liu, University of Chicago, USA. E-mail: derong(a)uic.edu Tatiana Tambouriatzis, University of Piraeus, Greece. E-mail: tatianatambouratzis(a)gmail.com ############################################################################ # ##########################Call for Panels########################## The IJCNN 2017 Program Committee solicits proposals for panel sessions to provide forums for lively, interactive discussions among world-leading experts in specific areas. Panel Session proposals are solicited in a broad range of areas related to NNs, including but not limited to the following: hot topics and challenges in NNS, such as Deep learning, Big Data, Brain-Computer Interfaces, new generation of AI; history of NNs, with special emphasis on the upcoming 30th birthday of INNS; government funding opportunities; outreach to industry and to sister societies, and many more. Panel proposals should include the information listed below. Please email the following information in a single file to the Panel Chair (contact information below). * Topic of the panel * Name of proposer(s) * Email of main contact person * Brief bio of proposers * Brief description of the panel and why the panel format is appropriate for the topic. * List of potential panelists Researchers interested in organizing panels are invited to submit a formal proposal. Any questions regarding this proposal can be asked to the Panel Chair: Robert Kozma, University of Memphis, USA. Email: rkozma(a)memphis.edu ##################################################################### ##########################Call for Workshops########################## Post-conference workshops offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2017 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal including the following information as a single file (pdf, doc, etc.) to the workshop chair: * Title * Organizers and their short bio * Brief description of the scope and impact of the workshop * Timeliness of the topic * Confirmed and/or potential speakers * Half day (3 hours) or full day (6 hours) * Link to organizer's web page and/or workshop web site (optional) For further details, please refer http://www.ijcnn.org/call-for-workshops. Any questions regarding this proposal can be asked to the Workshop Chair: Lazaros Iliadis, Democritus University of Thrace, Greece. E-mail: liliadis(a)fmenr.duth.gr ###################################################################### ##########################Call for Tutorials########################## IJCNN 2017 will feature pre-conference tutorials addressing fundamental and advanced topics in computational intelligence. Tutorial proposals should be emailed to the Tutorial Chair (see below). A tutorial proposal should include the * Title * Presenter/organizer name(s) and affiliations * Expected enrollment * Abstract (less than 300 words) * Additional outline if needed * Presenter/organizer biography * Links to the presenter/organizer web page or the tutorial page (optional) * The proposal should not exceed two pages in 1.5 space, Times 12 point font. The tutorial format (preliminary) is 1 hour and 45 minutes with a 10-minute break. Researchers interested in organizing workshops are invited to submit a formal proposal. For further details, please refer to http://www.ijcnn.org/call-for-tutorials. Any questions regarding this proposal can be asked to the Tutorials Chair: Asim Roy, Arizona State University, USA. E-mail: ASIM.ROY(a)asu.edu ###################################################################### ##########################Call for Sponsors########################## You are invited to support the 2017 International Joint Conference on Neural Networks (IJCNN 2017), organized by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS). This is an ideal way to demonstrate your organization's commitment to the field of artificial intelligence including neural networks, biomorphic systems, computational neuroscience, neuroengineering, and many other areas at the frontier of technological innovation and to publicize this support to many leaders and students in the field. Corporate support is typically used to permit a greater number of students to attend IJCNN at reduced fees without increasing the general registration, and to allow student volunteers to receive complimentary registration. Exhibits by sponsors also help inform researchers especially students and postdocs about relevant applications and opportunities. Corporate support can be targeted to a particular event or activity at the Conference. IJCNN 2017 has four sponsorship levels: Platinum, Gold, Silver, and Bronze. Your support is very important to the conference, and the conference committee ensures that these contributions are well recognized. We list the benefits and costs below. * PLATINUM (US$10,000 or greater contribution) You will get 4 free registrations to the main conference and tutorials and workshops, 4 banquet tickets, 3 exhibition tables. You will also get second choice at naming events at the conference. For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will specially acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news * GOLD SPONSORSHIP (US$5,000 or greater contribution) You will get 3 free registrations to the main conference or tutorials and workshops, 3 banquet tickets, 2 exhibition tables. You will also get third choice at naming events at the conference (after the Platinum). For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news * SILVER SPONSORSHIP (US$3,000 or greater contribution) You will get 2 free registrations to the main conference or tutorials and workshops, 2 banquet tickets, 1 exhibition table. We will name an event after your company, if there are events left after those named for Platinum and Gold Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news * BRONZE SPONSORSHIP (US$1,500 or greater contribution) You will get 1 free registration to the main conference or tutorials and workshops and 1 banquet ticket. Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news Sponsorships at lower levels will be considered, with benefits negotiated between the IJCNN 2017 Sponsorship Chair and the Sponsor. For further details, please refer to http://www.ijcnn.org/call-for-sponsors Any questions regarding this proposal can be asked to the Sponsor Chair: Lipo Wang, Nanyang Technological University, Singapore. E-mail: elpwang(a)ntu.edu.sg ###################################################################### ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society ############################################################

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Faculty positions open in theoretical biology, computational sciences and big data
by Erik De Schutter 06 Sep '16

06 Sep '16

Dear all, Faculty recruitment is ongoing in the Okinawa Institute of Science and Technology Graduate University Japan in fields that are of interest members of this mailing list, including: theoretical biology (including theoretical neuroscience), computational sciences and big data analysis. Please go to https://groups.oist.jp/facultypositions for more information. Application deadline is October 24, 2016. Erik De Schutter Full advertisement: Open Faculty Positions The Okinawa Institute of Science and Technology Graduate University (www.oist.jp) invites applications for at least 5 new faculty positions as part of its planned expansion. Targeted areas for the current search include*: Chemistry: Chemical Biology; Materials Chemistry (including Polymer Chemistry, Metal-Organic Frameworks) Life Sciences: Cell Biology; Theoretical Biology; Behavioral Learning Theory Mathematics: Discrete Mathematics; Computational Sciences; Big Data Analysis Physics: Quantum Information; Ultracold Physics; Condensed Matter; Cosmology/Gravitational Waves We are seeking applicants with excellent scholarship and creativity. Successful candidates are expected to establish an active program of research, supervise student research and teach in the graduate program. Generous research resources are provided which may be supplemented with external grants. Appointments will be Tenure-Track or Tenured. Starting date is flexible. Applications should include: a letter of intent, CV, summary of previous research, research proposal, and a teaching statement. Information and instructions for submitting applications can be accessed at https://groups.oist.jp/facultypositions *Applications from strong candidates in other fields may be considered. Application Deadline: Noon on Monday, October 24, 2016 (any time zone) The OIST Graduate University offers a world-class research environment with an international research community and opportunities for interdisciplinary research. Research and teaching is conducted in English. The campus is located in a beautiful subtropical setting in Okinawa, Japan. The OIST Graduate University is an equal opportunity educator and employer committed to increasing the diversity of its faculty, students and staff through proactive policies. We provide a family-friendly working environment, including a bilingual child development center on campus. Applications from women and other underrepresented groups are strongly encouraged. See https://groups.oist.jp/ged Inquiries should be directed to Professor Gordon Arbuthnott, Dean of Faculty Affairs, faculty-recruiting(a)oist.jp

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Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania
by Vijay Balasubramanian 05 Sep '16

05 Sep '16

Postdoctoral Fellowships in Theoretical and Computational Neuroscience University of Pennsylvania The Computational Neuroscience Initiative (CNI, http://cni.upenn.edu <http://cni.upenn.edu/>) of the University of Pennsylvania seeks exceptional candidates for a CNI Postdoctoral Fellowship. Candidates with strong quantitative skills from a variety of fields including neuroscience, cognitive science, psychology, physics, mathematics, and engineering will be considered. The selected Fellows will join an inter-disciplinary research environment in historic Philadelphia. CNI Fellows will be encouraged to foster collaborative research between multiple labs. The CNI supports inter-disciplinary and collaborative research at the frontier of knowledge about the brain, behavior, and the mind. We focus on systems-level approaches that integrate theory and computation with experiment. Our members include faculty, post-docs, and students from multiple programs and departments including neurobiology, cognitive science, psychology, physics, mathematics, electrical engineering, bioengineering, and computer science. Our research and training spans the three major elements of the field of Computational Neuroscience: 1) Theory – understanding the brain as an information-processing machine; 2) Experiments – providing quantitative methods to aid in the design, implementation, analysis, and interpretation of empirical studies that probe all levels of brain function, from molecules to behavior; and 3) Applications – including robotics, brain-machine interfaces, and new clinical tools. Applications should be submitted by email to compneuro(a)sas.upenn.edu <mailto:compneuro@sas.upenn.edu> and should consist of a CV and a cover letter stating the candidate's research experience and reasons for applying to this Fellowship. Please arrange for up two three letters of recommendation to be sent to the same email address with the candidate’s name in the subject line. Review of applications will occur on a rolling basis until the positions are filled The University of Pennsylvania values diversity and seeks talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu <http://jobs.hr.upenn.edu/>). Vijay Balasubramanian, Director David Brainard, Co-Director Joshua Gold, Co-Director

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The Max Planck Research Group Neural Circuits in Germany is Now Hiring!
by Zaina Batool 05 Sep '16

05 Sep '16

Dear all, The Seelig Lab (Max Planck Research Group Neural Circuits) is currently offering two open positions on neural circuits in behaving animals for highly motivated scientists/graduate students interested in studying the role of neuromodulators in neural circuit function across behavorial states in health and disease: - one full-time postdoctoral position - one Ph.D. position More here: http://www.caesar.de/jointhelab0.html Best Regards, Zaina Batool Research Assistant, Max Planck Research Group Neural Circuits Forschungszentrum caesar Tel.: 0228/9656-361 Fax: 0228/9656 E-Mail: zaina.batool(a)caesar.de<mailto:zaina.batool@caesar.de> Forschungszentrum caesar assoziiert mit der Max-Planck-Gesellschaft Ludwig-Erhard-Allee 2 53175 Bonn www.caesar.de<http://www.caesar.de/>

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NEST User Workshop 3-4 November 2016 in Karlsruhe, Germany
by Hans Ekkehard Plesser 02 Sep '16

02 Sep '16

Dear all! The NEST Initiative is excited to invite all NEST users and developers to the second annual NEST User Workshop on 3-4 November 2016 in Karlsruhe, Germany. The Workshop provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST and spiking network simulation and application. This year, the workshop will focus on the use of spiking networks in Neurorobotics and will kindly be hosted by Forschungszentrum Informatik (FZI) in Karlsruhe, Germany, in collaboration with the Human Brain Project and Forschungszentrum Jülich. The workshop is supported by the Human Brain Project Education Office. Registration for the Workshop is now open at http://indico-jsc.fz-juelich.de/e/nest2016 where you also will find more information about the workshop program and ways to contribute. Deadline for contributions is 18 September, for registration 7 October. Participation is free of charge, but you will have to cover your travel costs. Space is limited, so please register soon! I am looking forward to seeing you in Karlsruhe! Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser Associate Professor Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Opportunity in Open Source Brain project for experienced software developer
by Padraig Gleeson 02 Sep '16

02 Sep '16

(Apologies for cross postings) The Open Source Brain initiative (http://www.opensourcebrain.org) is looking to hire an experienced software developer to work on the web infrastructure for collaborative development of models in computational neuroscience as part of our multidisciplinary group <http://silverlab.org/> at University College London: https://goo.gl/kROHnZ This would be a great opportunity for someone who has plenty of experience with Java/JavaScript development (and a good helping of Python and/or Ruby) to get a job at the leading edge of efforts to build a truly open infrastructure for modelling and understanding the brain. Previous experience in computational neuroscience is an advantage, though excellent software development skills in a web environment and a desire to make a difference in this field are essential. The successful applicant will have the opportunity to fully participate in the academic activities related to this initiative including contributing to publications and attending scientific conferences. Deadline for applications is 12th Sept 2016. For informal enquiries, please contact p.gleeson(a)ucl.ac.uk ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Post-doc position in computational cognitive neuroscience at UC Berkeley
by Anne Collins 01 Sep '16

01 Sep '16

Hello, I run the Computational Cognitive Neuroscience Lab at UC Berkeley ( https://www.ocf.berkeley.edu/~acollins/) and am looking for a postdoc. *Post-doctoral research position at the CCN lab at UC Berkeley:* My lab investigates reinforcement learning, decision-making and executive functions. I’m looking to hire a post-doc interested in these topics. You should have (or be nearing completion of) a PhD in psychology, neuroscience, cognitive science, or a related field. Ideal candidates would have expertise collecting and analyzing EEG or fMRI data, experience in developmental or patient studies, or both. Experience in computational modeling is also highly desirable, and programming experience is essential. However, I welcome applications from anyone with experience and interest in RL, decision-making, or executive functions. This position can begin immediately, but the start date is flexible. To apply, please send your CV, contact information for your references, and a short letter about why you’re interested in this position to Anne Collins ( annecollins(a)berkeley.edu) -- Anne Collins Assistant Professor Tolman Hall, 3429 Department of Psychology University of California, Berkeley (510) 664-7146

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Associate professor position in Data Science (Big Data)
by Hans Ekkehard Plesser 01 Sep '16

01 Sep '16

The Department of Mathematical Sciences and Technology (IMT) at the Norwegian University of Life Sciences (NMBU) as Ås near Oslo has a permanent, full-time position available for an Associate Professor in Data Sciences (Big Data). The position is part of the University's programme for the recruitment of top researchers, which aims to recruiting an internationally leading, early-career researcher with a high potential for NMBU. The position requires research of high international quality. Big Data is relevant to several of NMBU's academic communities working within the environmental sciences and biosciences, and is especially important in fields of research and teaching in IMT. The goal is for the position to contribute to collaborations in the field across academic communities at IMT and NMBU. The person appointed to the position must therefore have excellent collaboration skills. The position will include: • one PhD Position (3 years) • NOK 0.25 million in operating funds For a detailed description of the position, our expectations and conditions, please see https://www.jobbnorge.no/en/available-jobs/job/127472/associate-professor-i… Deadline for applications is Oct 1, 2016. Best regards, Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser Associate Professor Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Staff Scientists and Postdoctoral Researchers in Neural Data Analysis and Computational Neurosceince at the Center for Bioelectronic Medicine
by Zanos, Theodoros 31 Aug '16

31 Aug '16

The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research in NY (http://www.feinsteininstitute.org/) is building a multidisciplinary team to revolutionize medicine by determining the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. Projects will focus on determining which nerve fibers exert control, the types of signals those fibers use, and how these signals can be manipulated to treat diseases and conditions such as rheumatoid arthritis, paralysis, Crohn's disease, Alzheimer's disease, Parkinson's disease, diabetes, cancer and others. We are currently recruiting for Staff Scientists and Postdoctoral Researchers in the field of neural data analysis and computational neuroscience. The successful candidates will work in the Center for Bioelectronic Medicine, directed by Chad Bouton, in the Neural Decoding and Data Analytics Lab, led by Dr. Theo Zanos. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into: 1. Decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions 2. Reinforcement learning approaches used to select neural stimulation parameters and optimize outcomes 3. Beam-forming, blind source separation, and other techniques to directionally transmit or receive neural signals in peripheral nerves 4. Neural circuits through numerical modeling and biomarker profile analysis * PhD in Engineering, Computer Science, Statistics or a related field required; experience in one or more of the following areas required: - Analysis of Neural Signals - Computational Neuroscience - Machine Learning (Systems Identification & Reinforcement Learning) * Strong Matlab programming skills required, Python and C++ programming experience preferred. * For the Staff Scientist position, applicants must have a minimum of three (3) years of relevant postdoctoral experience. Please forward CV, cover letter and 2 references to CBEM(a)northwell.edu, with the subject line "Post-Doc / Research Scientist in the Neural Decoding and Data Analytics Lab". Theodoros Zanos, PhD Asst Investigator Neural Decoding and Data Analytics Lab Center for Bioelectronic Medicine The Feinstein Institute for Medical Research 350 Community Drive Manhasset, NY 11030 Tel: (516) 562-1204 Cell: (646) 943-3440 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> Northwell Health Visit us at Northwell.edu<http://northwell.edu/> [cid:image001.png@01D203AA.333A0610] The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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SfN2016 Satellite Symposium "Collaborative Neuroscience and Enabling Infrastructure"
by emuller 31 Aug '16

31 Aug '16

ANNOUNCEMENT Human Brain Project Satellite Symposium to SfN 2016 "Collaborative Neuroscience and Enabling Infrastructure" When: 1pm-5pm, November 11th, 2016 Where: Manchester Grand Hyatt San Diego, Room: Cortez Hill ABC Organizers: Marc-Oliver Gewaltig, Eilif Muller, Jeff Muller, David Lester, Andrew Davison Participants are kindly asked to register using the following link (google forms): https://goo.gl/forms/0uuu4rW5yW3epgNm2 OVERVIEW The EU funded Human Brain Project is developing six research platforms in the areas of Neuroinformatics, High-Performance Computing, Brain Simulation, Medical Informatics, Neuromorphic Computing and Neurorobotics to support international research. This symposium brings together researchers and engineers from the Human Brain Project (HBP) with the larger neuroscience community to discuss how the HBP Platforms can catalyze collaborative neuroscience research by the community, and highlight selected complementary initiatives to explore synergies. We will provide an introduction to the Human Brain Project platforms, "The HBP Collaboratory", with a focus on neuroscientific use-cases available as of the initial public release of spring 2016, and first success stories. For further details see the website: https://www.humanbrainproject.eu/sfn-2016-satellite

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University of Surrey: Professorial appointment in the Nature Inspired Computing and Engineering Group
by a.gruning＠surrey.ac.uk 31 Aug '16

31 Aug '16

Dear Colleagues, the University of Surrey has a job opening for a professorship, see the details below or at http://jobs.surrey.ac.uk/060916 Best, Andre The University of Surrey is an international university with a world-class research profile and an enterprising spirit. The University has an outstanding record in student employment and teaching excellence. The Department of Computer Science embodies the ethos of “applying theory into practice” across its research and teaching activities. The Department of Computer Science within the Faculty of Engineering and Physical Sciences has an international reputation for research and teaching. Research in the department is focussed on two main areas - Nature Inspired Computing and Engineering (NICE), and Secure Systems, with Surrey hosting one of only 13 Academic Centres of Excellence recognised by GCHQ. This post offers an exciting opportunity for a Professorial appointment in the Nature Inspired Computing and Engineering group. The vision of the group is to better human life and the environment by understanding and simulating how nature works. The successful candidate will provide leadership in research in machine learning at the highest level and develop strategic partnerships. We welcome applications from both academia and industry. We are open to a variety of machine learning and cognitive systems specialisms that are related to, or complement current strengths of the group including (but not limited to): computational intelligence, computational neuroscience, with applications to data-driven engineering optimisation, self-organising and autonomous systems, health care and bioinformatics. It is expected that the post-holder will also contribute to high quality teaching at undergraduate and post-graduate level, for example in data science. The initial focus of the post is working as part of the senior team to drive forward machine learning research within the Department, across the University and internationally with academia and industry. The Department has excellent links with Honda, The Pirbright Institute and Moorfields Hospital. It offers the unique opportunity to grow interdisciplinary research within Surrey, for example with the Faculty of Health and Medical Sciences involving the Surrey Sleep Research Centre and within the Faculty of Engineering and Physical Sciences which has expertise in machine learning across several of its Departments and research centres. The Department is implementing a strong growth plan which has seen its academic staff base increase by over 35% in the last year, with a focus on security. The Department has now prioritised future growth in the area of machine learning research and immediately after the appointment to this Chair the Department intends to appoint a further faculty member at Lecturer level alongside this post. For an informal discussion about the positions, please contact the Head of Department of Computer Science, Dr Helen Treharne on h.treharne(a)surrey.ac.uk or Professor Paul Krause, Director of Research, on p.krause(a)surrey.ac.uk. A search exercise is being undertaken by Society who will support the University Panel decision to identify the widest possible field of candidates and assist in their assessment. For further details, including job description, person specification and information on how to apply, please contact www.society-search.com quoting reference 0475 or to discuss the position further contact Nina Patel on +(0) 44 20 36530479 The closing date is 3rd October 2016 at 5pm (GMT). Interviews will be held in on 19th and 20th October, in Guildford. Presentations will be given on the afternoon of 19th October 2016 and the interviews will follow on the 20th October, 2016. It is expected that candidates will participate on both days. The start date is anticipated to be April 2017 (or earlier). Visits to Guildford and to the Department can be arranged for short-listed candidates, in advance of the interview date. The University is committed to building a culturally diverse organisation and strongly encourages applications from female and minority candidates. -- Dr Andre Gruning Senior Lecturer (Associate Professor) Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom

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Workshop in Brisbane, Nov 28-30
by Leonardo Gollo 30 Aug '16

30 Aug '16

Dear all, It is a pleasure to announce the 9th Australasian Workshop on Neuro-Engineering and Computational Neuroscience that will be held in Brisbane, Australia, November 28-30. The workshop will bring together researchers at the interface between neuroscience, physics, engineering and psychiatry. Abstract submissions are closing on the 5th of September and there are limited places for the short course on Deep Learning. Topics include: - Theoretical, Mathematical & Computational Neuroscience - Computational Psychiatry - Neuroimaging - Connectomics & Networks - M/EEG & Electrophysiology - Neural Modeling & Engineering - Neuromorphic Engineering - Neuroprosthetics & Brain Machine Interfaces - Neural Information Processing - Neuroinformatics - Cognitive Neuroscience - Systems Neuroscience - Neurostimulation Keynote speakers: - Xiao-Jing Wang, New York University - Rosalyn Moran, University of Bristol - James Rowe, University of Cambridge Additional invited speakers: TBA. Abstract submission: http://conference.qimrberghofer.edu.au/page/NeuroEng/ Kind regards, Leonardo L Gollo, James Roberts, Vinh Nguyen, Michael Breakspear

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Neuroimaging engineer position
by paulo rodrigues 29 Aug '16

29 Aug '16

Hi all, We are looking for an experienced and motivated neuroimaging engineer/scientist to start asap. Please send your CV/motivation to team(a)mint-labs.com You are experienced in volumetric, diffusion, rs-fMRI studies, and are not shy about Python, bash, R or whatever tool fits the work? Do you know the plethora of tools like mrtrix, ANTs, freesurfer, dipy, nipype, ...? The challenge is to develop analysis systems for multidimensional medical datasets. Mint Labs is a cloud computing platform that focus on integrating diverse clinical, imaging, genomic, and other data to better evaluate disease progression and response to interventions. You will start a new project focusing on using these methods to answer some pertinent questions in MR. You thrive in developing pipelines to process imaging data, and integrate multiple data points into meaningful group conclusions? Objectives of the position -------------------------- The position hinges on building sophisticated processing pipelines for neuroimaging datasets. Building, improving advanced morphometrics and brain-parcellation techniques in structural MRI, dMRI, rs-fMRI. Support the interaction with several external research partners and clients to develop neuroimaging analysis. About Mint Labs -------------------------- Mint Labs is a Barcelona based startup building a neuroimaging data analytics cloud-based platform. The system employs software tools to integrate thousands of images and data from a patient and creates a specific detailed 3D map of the brain. We can quantify the effect of the treatment in the damage of the brain and characterise patients for clinical trials. The images are directly sent from the scanners to our servers, and there the data is automatically processed and analysed.

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Job offer in computational neuroscience
by Irene Yujnovsky 26 Aug '16

26 Aug '16

Hi! we currently have an open post-doctoral position for a neuroinformatician in Marseille, France. You will find the ad below, feel free to diffuse it to potentially interested candidates: *Neuro**informatician/Mathematical modeler* *TNG Team, **Institute of System**Neuroscience (INS**), Marseille, FRANCE***** A post-doctoral position is open in the Theoretical Neurosciences Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient dementia models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) This research project will be conducted in the context of the Aetionomy European consortium (IMI). *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a PhD degree in computational neuroscience, mathematical modeling or equivalent level of knowledge. A strong background in data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience with The Virtual Brain platform would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30^th 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.frMore information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k Thank you very much, Irene Yujnovsky -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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[IJCNN 2017] Combined Calls
by Teng Teck Hou 25 Aug '16

25 Aug '16

[Apologies for cross-postings] ################################################## COMBINED CALLS CALL FOR PAPERS http://www.ijcnn.org/call-for-papers CALL FOR SPECIAL SESSIONS http://www.ijcnn.org/call-for-special-sessions CALL FOR WORKSHOPS http://www.ijcnn.org/call-for-workshops CALL FOR TUTORIALS http://www.ijcnn.org/call-for-tutorials CALL FOR COMPETITIONS http://www.ijcnn.org/call-for-competition CALL FOR SPONSORS http://www.ijcnn.org/call-for-sponsors International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Special Session, Panel Sesion & Competition Proposals September 15, 2016 * Tutorial and Workshop Proposals October 15, 2016 * Paper Submission November 15, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Christof Koch, Allen Institute for Brain Science, USA * Hava Siegelmann, DARPA, and University of Massachusetts, Amherst, USA * Jose Principle, University of Florida, USA #################################################################### ##########################Call for Special Sessions########################## The IJCNN 2017 Program Committee solicits proposals for special sessions within the technical scopes of the conference. Special sessions, to be organized by international recognized experts, aim to bring together researchers focused in special, novel, and challenging topics. Fast-developing themes such as Deep Learning, Big Data, or applications to fields like chemistry, biology, computer games, robotics, etc. are examples. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the regular sessions. Researchers interested in organizing special sessions are invited to submit a formal proposal using the on-line form of the Special Sessions webpage. Due to large expected number of submissions, please do not directly email the information to the special session co-chairs Derong Liu, University of Chicago & Chinese Academy of Sciences. Beijing, and Tatiana Tambouratzis, University of Piraeus, Greece. For further details, please refer to http://www.ijcnn.org/call-for-special-sessions Any questions regarding this proposal can be asked to the Special Session Chairs: Derong Liu, University of Chicago, USA. E-mail: derong(a)uic.edu Tatiana Tambouriatzis, University of Piraeus, Greece. E-mail: tatianatambouratzis(a)gmail.com ############################################################################ # ##########################Call for Workshops########################## Post-conference workshops offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2017 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal including the following information as a single file (pdf, doc, etc.) to the workshop chair: Title Organizers and their short bio Brief description of the scope and impact of the workshop Timeliness of the topic Confirmed and/or potential speakers Half day (3 hours) or full day (6 hours) Link to organizer's web page and/or workshop web site (optional) For further details, please refer http://www.ijcnn.org/call-for-workshops. Any questions regarding this proposal can be asked to the Workshop Chair: Lazaros Iliadis, Democritus University of Thrace, Greece. E-mail: liliadis(a)fmenr.duth.gr ###################################################################### ##########################Call for Tutorials########################## IJCNN 2017 will feature pre-conference tutorials addressing fundamental and advanced topics in computational intelligence. Tutorial proposals should be emailed to the Tutorial Chair (see below). A tutorial proposal should include the Title Presenter/organizer name(s) and affiliations Expected enrollment Abstract (less than 300 words) Additional outline if needed Presenter/organizer biography Links to the presenter/organizer web page or the tutorial page (optional) The proposal should not exceed two pages in 1.5 space, Times 12 point font. The tutorial format (preliminary) is 1 hour and 45 minutes with a 10-minute break. Researchers interested in organizing workshops are invited to submit a formal proposal. For further details, please refer to http://www.ijcnn.org/call-for-tutorials. Any questions regarding this proposal can be asked to the Tutorials Chair: Asim Roy, Arizona State University, USA. E-mail: ASIM.ROY(a)asu.edu ###################################################################### ##########################Call for Competitions########################## Competition organizers are kindly invited to submit their proposals to IJCNN2017 Competition Chair (TBA) by September 15, 2016. The notifications of acceptance of the competition proposals will be provided by TBA and will be shortly publish in the IJCNN 2017 website. Please note that each accepted competition will be published in a separate web link. The competition proposal should contain the following information (please fill out the form at the bottom of this page, or send the required information in the form as a single pdf file to the competition chair [email below]) The aims and objectives of the competition, The rules of the competition, including which data sets will be used, How the competition will serve the neural networks community/society, How to enter the competitions and how to evaluate them, and Which competition platform (or result submission and validation method) you will use (e.g. similar to Kaggle). Summary of performance results directly reported by the competition participants and not verified by the competition organizers are not acceptable. Please note that you need to select a category for your competition from the following list: Category A: You are planning to organise an associated special session, in which the proposal must be submitted separately to the special session chairs. In addition, you require that each team must submit at least one paper to the special session. Category B: You are planning to organise an associated special session, whose proposal must be also submitted separately to the special session chairs. However, submission of papers to the special session by competition participants is not mandatory. Category C: You have no plan to organize an associated special session. Note: For categories B and C, please also indicate whether or not conference participation is required for each entry. Sponsorship A winning certificate and free registration will be provided to the winner of each competition who attends IJCNN 2017. For further details, please refer to http://www.ijcnn.org/call-for-competition. If you need any other information, please do not hesitate to contact the IJCNN2017 Competition Chair: Juyang (John) Weng, Michigan State University. E-mail: weng(a)cse.msu.edu ######################################################################### ##########################Call for Sponsors########################## You are invited to support the 2017 International Joint Conference on Neural Networks (IJCNN 2017), organized by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS). This is an ideal way to demonstrate your organization's commitment to the field of artificial intelligence including neural networks, biomorphic systems, computational neuroscience, neuroengineering, and many other areas at the frontier of technological innovation and to publicize this support to many leaders and students in the field. Corporate support is typically used to permit a greater number of students to attend IJCNN at reduced fees without increasing the general registration, and to allow student volunteers to receive complimentary registration. Exhibits by sponsors also help inform researchers especially students and postdocs about relevant applications and opportunities. Corporate support can be targeted to a particular event or activity at the Conference. IJCNN 2017 has four sponsorship levels: Platinum, Gold, Silver, and Bronze. Your support is very important to the conference, and the conference committee ensures that these contributions are well recognized. We list the benefits and costs below. PLATINUM (US$10,000 or greater contribution) You will get 4 free registrations to the main conference and tutorials and workshops, 4 banquet tickets, 3 exhibition tables. You will also get second choice at naming events at the conference. For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will specially acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news GOLD SPONSORSHIP (US$5,000 or greater contribution) You will get 3 free registrations to the main conference or tutorials and workshops, 3 banquet tickets, 2 exhibition tables. You will also get third choice at naming events at the conference (after the Platinum). For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news SILVER SPONSORSHIP (US$3,000 or greater contribution) You will get 2 free registrations to the main conference or tutorials and workshops, 2 banquet tickets, 1 exhibition table. We will name an event after your company, if there are events left after those named for Platinum and Gold Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news BRONZE SPONSORSHIP (US$1,500 or greater contribution) You will get 1 free registration to the main conference or tutorials and workshops and 1 banquet ticket. Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news Sponsorships at lower levels will be considered, with benefits negotiated between the IJCNN 2017 Sponsorship Chair and the Sponsor. For further details, please refer to http://www.ijcnn.org/call-for-sponsors Any questions regarding this proposal can be asked to the Sponsor Chair: Lipo Wang, Nanyang Technological University, Singapore. E-mail: elpwang(a)ntu.edu.sg ###################################################################### ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society ############################################################

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[Big Data NLP Workshop @ IEEE Big Data 2016] Call For Papers
by Teng Teck Hou 24 Aug '16

24 Aug '16

Big Data and Natural Language Processing workshop hosted at IEEE Big Data 2016 http://wp.lancs.ac.uk/bignlp2016/ The modality of textual data has been somewhat under-represented in big data and data science research thus far. This is despite the fact that large amounts of data are stored in unstructured textual format. We intend that this workshop will address this shortcoming and bring together academic and industrial researchers to exchange cutting edge research in the emerging area of extremely large-scale natural language processing (NLP). This topic has emerged in several areas in parallel in recent years: information retrieval and search engines, text mining, machine learning, web-derived corpus/computational linguistics, digital libraries, high performance and parallel computing. Common to all these areas is some or all of the main parts of the NLP pipeline: collection, cleaning, annotation, indexing, storage, retrieval and analysis of voluminous quantities of naturally occurring language data from the web or large-scale national and international digitisation initiatives. By hosting this event at IEEE Big Data 2016, we hope to encourage the communities to come together to consider synergies between NLP and data science. In this context, numerous issues should be considered including those linked to the five Vs of big data: (a) Volume: is having more data for training and testing NLP techniques always better? (b) Variety: are all types of data available on a sufficiently large scale? (c) Velocity: how are parallel methods best applied to carry out NLP on a large scale? (d) Variability: how does inconsistent data impact on the accuracy of NLP techniques? (e) Veracity: how does the accuracy of data affect inferences that can be drawn from it? Research topics: Topics covered by the workshop include, but are not restricted to, the following: Application focused papers e.g. security informatics Crowdsourcing approaches to large-scale language analysis Use of big data to train/test methods for low resource languages where existing NLP approaches do not exist Efficient NLP for analysing large data sets Challenges of scaling the NLP pipeline Big Data Management for NLP Storage and access for large linguistic data sets Language processing via GPGPUs Parallel and distributed computing techniques for language analysis e.g. HPC, MapReduce, Hadoop, Spark and cloud based machine learning Visualisation methods for the analysis of large corpora Dates: Oct 3, 2016: Due date for full workshop papers submission Oct 25, 2016: Notification of paper acceptance to authors Nov 8, 2016: Camera-ready of accepted papers Dec 5-8, 2016: Workshops Program Chairs: Dr Paul Rayson (Lancaster University, UK) Dr Mark Stevenson (Sheffield University, UK) Dr John Mariani (Lancaster University, UK) Dr Laura Irina Rusu (IBM Research Australia) Gandhi Sivakumar (Watson CoC, IBM Australia) Program committee members: Dr Nikos Aletras (Amazon UK) Dr Enrique Alfonseca (Google Zurich) Professor Laurence Anthony (Waseda University, Japan) Dr Piotr Banski (IDS-Mannheim, Germany) Dr Alistair Baron (Lancaster University, UK) Dr Eddie Bell (Lyst, UK) Matt Coole (Lancaster University, UK) Professor John Keane (University of Manchester, UK) Dr Dawn Knight (Cardiff University, UK) Dr Marc Kupietz (IDS-Mannheim, Germany) Dr Jochen Leidner (Thomson Reuters, UK) Dr Diana Maynard (Sheffield University, UK) Dr Rao Muhammad Adeel Nawab (COMSATS, Pakistan) Dr Sebastian Riedel (UCL, UK) Dr Mahsa Salehi (IBM Research, Australia) Dr Irena Spasic (Cardiff University, UK) Dr Stephen Wattam (Lancaster University, UK)

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Three-year postdoc position at Imperial College London: Computational auditory neuroscience and neurostimulation
by Reichenbach, Johann D T 18 Aug '16

18 Aug '16

Applications are invited for a Research Associate (Postdoc) to work on an exciting 3 year project in computational auditory neuroscience and neurostimulation at Imperial College London. The successful candidate will join the group of Dr. Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project is embedded in The Royal British Legion Centre for Blast Injury Studies at Imperial College (http://www.imperial.ac.uk/blast-injury) The project's goal is to develop efficient complex transcranial current stimulation techniques that can aid auditory processing. Auditory processing can be impaired due to damage to the neural circuits that are responsible for analysing auditory signals. Such damage to the central nervous system can result from head injury that can, in turn, be caused by secondary and tertiary blast injuries. Recent studies have found that the majority of war veterans that were exposed to at least one blast during their deployment have such auditory processing disorder. In this project we will employ novel computational and experimental insights into the mechanisms of speech processing in the brain to develop efficient types of complex transcranial current stimulation that can aid auditory processing. Applicants should have a PhD in computational neuroscience, engineering, physics or computing with experience in signal processing as well as neurostimulation or -imaging. The salary range is £36,070 - £43,350 per annum. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk<mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via our website. Please click ‘apply’ below or go to https://www.imperial.ac.uk/job-applicants/ (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number EN20160296FH. Further information is also available on the job description. Should you have any queries please contact Ms Mica Jones at mica.jones(a)imperial.ac.uk<mailto:mica.jones@imperial.ac.uk> . The closing date is the 2nd of October 2016.

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Call for Paper MediTec 2016 (International Conference on Medical Engineering, Health Informatics and Technology)
by MediTec 2016 13 Aug '16

13 Aug '16

*(Apologies if you receive multiple copies of this CFP)* *Dear Sir/Madam,* This letter is to formally invite you to participate and submit your research works in the “*2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec 2016)*” themed "*Smart Systems for Healthcare*" from *17-18 December 2016,* which will take place at United International University (UIU), Dhaka, Bangladesh. *MediTec 2016* is technically co-sponsored by IEEE-EMBS Bangladesh Chapter and IEEE Bangladesh Section. This conference aims to bring together researchers, engineers, doctors, medical practitioners and experts in Bio-medical engineering, Healthcare, Intelligent Systems and Knowledge Management to share their experience, ideas and future scopes. Distinguished scientists, experts from both academia and industries will deliver keynote speeches and invited talks on trends and significant advances in the emerging technologies related to the conference topics. For the list of confirmed speakers, please *click here.* <http://meditec.uiu.ac.bd/speakers/> *Major areas of interest include, but not limited to, are:* 1. Biomedical and Health Informatics 2. Biomedical Signal and Image Processing 3. Therapeutic Systems and Clinical Technologies 4. Neuro and Rehabilitation Engineering 5. Biorobotics, Bionanotechnology and Wearable Biomedical Sensors and Systems 6. Computational Biology and Bioinformatics 7. Pharmaceutical Biotechnology 8. ICT, Health and Disabilities Please find the attachment for detailed *Call For Paper* or visit *here* <http://meditec.uiu.ac.bd/wp-content/uploads/2016/06/Meditech-2016_A4_Poster…> . *Important Dates:* Paper Submission Deadline 30 August 2016 Acceptance Notification 15 October 2016 Camera Ready Submission 10 November 2016 Registration Early Bird: 15 November 2016 Late: Afterwards All the accepted papers will be included in Conference Proceedings and all the presented papers will be submitted to *IEEE Xplore Digital Library*. Selected papers from the conference proceedings will be invited for possible publication in special issues of some reputed international journals. Paper submission for *MediTec 2016* is now open. *Click here to Submit Your Paper. <https://easychair.org/conferences/?conf=meditec2016>* For more information, please visit conference website *http://meditec.uiu.ac.bd* <http://meditec.uiu.ac.bd/>*.* Kindly promote *MediTec 2016* to interested individuals, researchers and communities in your vicinity. We look forward to meet you in the conference. Thanking you, Best Regards, Khondaker A. Mamun, *Ph.D.* Conference Chair, MediTec 2016 Email: meditec(a)uiu.ac.bd Cell: +880 1776534220 Director, AIMS Lab (www.aimsl.uiu.ac.bd) Associate Professor, Department of Computer Science and Engineering ( www.cse.uiu.ac.bd) United International University, Dhaka, Bangladesh (www.uiu.ac.bd) Chair, IEEE Engineering in Medicine and Biology Society, Bangladesh Chapter Initiator, Bangladesh Research and Awareness Initiative of Neuroscience (BRAIN) Email: k.mamun(a)ieee.org, mamun(a)cse.uiu.ac.bd, k.mamun(a)utoronto.ca, mamun79bd(a)yahoo.com URL: http://cse.uiu.ac.bd/faculty/kmamun/

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programmer wanted -- neuroscience and neuroprosthetics lab
by Sliman Bensmaia 12 Aug '16

12 Aug '16

Lab at the cutting edge of neuroscience and neurotechnology looking for a programmer to keep us at the cutting edge! The lab has two general pursuits: discover the neural basis of touch and proprioception – how do patterns of activation in the nerve and in the brain mediate our ability to feel objects by touch and sense the position and movements of our limbs in space? – and to develop a somatosensory neuroprosthesis – How can we recreate the sense of touch by stimulating the nerve or the brain. See http://bensmaialab.org for additional information regarding the lab and the exciting work we are doing. Ideally, looking for a motivated, intelligent individual who works well with people, someone who might be able to make a long term commitment to the lab and help us build something special. JOB SUMMARY Responsible for interfacing the various machines in the lab (robots, sensors, data acquisition systems, etc.) with computers and with each other to run neurophysiological and behavioral experiments with human and non-human primates. EDUCATION Bachelor's degree in computer science or a related field of engineering required. EXPERIENCE One year of relevant programming experience required. Experience developing, implementing, debugging and maintaining applications required. Two years of professional programming experience preferred. Experience developing applications using C++, Matlab, Python, Java, MySQL, Visual Basic, and/or any other object oriented programming language preferred. Experience building and debugging electronic systems preferred but not required. Knowledge of electromechanical systems preferred but not required. Interest in and/or knowledge of neurophysiology preferred but not required. -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203

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Journal of Neural Engineering Special Issue on Open Source Tools in Systems Neuroscience
by Caleb Kemere 12 Aug '16

12 Aug '16

We would like to invite you to contribute an article to a Special Issue of the Journal of Neural Engineering on "Open Source Tools in Systems Neuroscience". The last few years have seen an increasing number of community-developed open source projects become instrumental in enabling cutting edge experiments, broadening access to ensemble neural recording techniques in a variety of animal models, and facilitating the adoption of novel technologies (such as optical recording). The goal of this issue is to catalog these projects and provide a curated resource for interested scientists. All open source hardware and software projects which enable neural data acquisition and/or systems neuroscience experiments are welcome. While we are primarily targeting original results which include detailed protocols and technology demonstration, we will also consider submissions which offer updated reviews of previously documented projects. General author guidelines can be found here (https://mc04.manuscriptcentral.com/jne-iop ) via the 'Instructions, forms and policies' link. At submission, authors should select the 'Special issue article' article type, and then choose the "Open Source Tools in Systems Neuroscience" special issue from the menu at the bottom of the page. The submission deadline is 16 November 2016. We also encourage authors to send a short abstract or tentative title in advance. Please forward this announcement broadly! Thanks, Caleb Kemere, Guest Editor Andrew Malloy, Editor, IOP Publishing

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Neuroscience Gateway Workshop at SFN 2016 meeting
by Ted Carnevale 10 Aug '16

10 Aug '16

Space is still open in the workshop Using the Neuroscience Gateway Portal for Parallel Simulation which will be held Saturday, Nov. 12 from 9 AM to noon as a satellite to the 2016 meeting of the Society for Neuroscience. The Neuroscience Gateway Portal (NSG) is an NSF-supported resource with a simple, convenient user interface, that provides free time on high performance computing hardware for computationally intensive tasks such as large scale simulations and data analysis. Currently installed software includes Brian, GENESIS, MOOSE, NEST, NEURON, PyNN, Freesurfer, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 28, but it is advisable to sign up early because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html for more information and a link to the registration form. --Ted

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[journals] CFP - Special Issue on "Symbol Emergence and Developmental Systems: Social Symbol Grounding and Embodied Cognition in Humans and Robots" - IEEE Transactions on Cognitive and Developmental Systems (TCDS)
by Amir Aly 09 Aug '16

09 Aug '16

CALL FOR PAPERS **Apologies for cross posting ** *IEEE Transactions on Cognitive and Developmental Systems (TCDS)*Special Issue on "*Symbol Emergence and Developmental Systems: Social Symbol Grounding and Embodied Cognition in Humans and Robots*" *I. Aim and Scope *Exploring human cognitive development constitutes a basic step towards endowing robots with high level human-like cognitive functions. Human embodied cognition follows a seamless process of development, which includes the development of sensorimotor skills, understanding concrete ideas and events, using concepts representing physical entities to describe objects, and coordinating multiple abstractions within complex representations. Investigating these aspects that bootstrap human cognitive development – through appropriate theoretical and computational cognitive modeling – allows for making robots capable of handling objects through the cumulative learning experiences that could develop sensorimotor skills, developing social skills through social learning strategies, grounding abstract concepts in the sensorimotor system, and developing linguistic skills in order to represent situations through language within interaction. A symbol system combines a group of tokens into structures and manipulates them through explicit rules to produce new expressions. The task of assigning a meaning to each meaningless symbol in a structure defines the "Symbol Grounding" problem, which has static physical and social components. The "Physical Symbol Grounding" allows an agent to form an internal explicit representation of an external-world referent so as to interpret symbols semantically. Whereas, the "Social Symbol Grounding" allows for developing a common lexicon of symbols grounded in perception information within a population of agents, which could lead to a gradual emergence of language through social interaction. A recent approach to semantically interpreting a symbol system is "Symbol Emergence", which accounts for the dynamic and self-organized nature of symbols that constitute human cognition. These complementary representations of a symbol system are still considered as real challenges in cognitive developmental robotics, and they require more elaborate theoretical and experimental studies in order to better understand the aspects of human behavior development. *II. Themes *This special issue aims to shed light on cutting-edge research lines in cognitive developmental robotics at the intersection of human cognitive science, artificial intelligence, machine learning, language science, and robotics research. Topics relevant to this special issue include, but are not limited to: - Human symbol systems and symbol emergence in robotics. - Cognitive modeling of human behavior. - Language and action development. - Learning from demonstration. - Action sequence learning. - Conceptual spaces for cognitive robotics. - Fluid and embodied construction grammar for cognitive robotics. *III. Submission * Manuscripts should be prepared according to the journal's “Information for Authors” instructions found at http://cis.ieee.org/publications.html, and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee (please select the category “SI: Symbol Emergence”). *IV. Important Dates*15 December 2016 – Deadline for papers submission 31 March 2017 – First notification for authors 15 May 2017 – Deadline for revised papers submission 15 June 2017 – Final notification for authors *V. Guest Editors * 1. *Amir Aly*, Ritsumeikan University, Japan ( amir.aly(a)em.ci.ritsumei.ac.jp) 2. *Sascha Griffiths*, Queen Mary University of London, UK ( sascha.griffiths(a)qmul.ac.uk) 3. *Francesca Stramandinoli*, IIT, Italy (francesca.stramandinoli(a)iit.it) 4. *Tadahiro Taniguchi*, Ritsumeikan University, Japan ( taniguchi(a)em.ci.ritsumei.ac.jp <taniguchi(a)em.ci.ritsumei.ac.jp>) 5. *Paul Vogt*, Tilburg University, The Netherlands (p.a.vogt(a)uvt.nl) More details about the scope of this journal special issue and the guest editors are available on: IEEE_TCDS_SI_CFP.pdf <https://intelligent-robots-ws.ensta-paristech.fr/wp-content/uploads/2016/08…> . ------------------------------------------------------- Dr. Amir Aly Postdoctoral Research Associate Emergent Systems Laboratory College of Information Science and Engineering - Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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