- Comp-neuro - lists.cnsorg.org

PhD positions in computational neuroscience
by Mark van Rossum March 5, 2016

March 5, 2016

3 YEAR PhD IN COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH. We invite applications for our PhD programme in COMPUTATIONAL NEUROSCIENCE at the University of Edinburgh. Applicants need to have UK citizenship, or have been in the UK for the last 3 years. The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. The following supervisor have openings: Peggy Seriès: Bayesian approaches to cognition and perception; computational psychiatry. Mark van Rossum: Synaptic plasticity; coding in the visual system; noise in the nervous system. Matthias Hennig: Models of neural networks; homeostasis and development; visual and auditory neuroscience; analysis of large-scale electrophysiological recordings The PhD project can be done in collaboration with one of the many affiliated departments and institutes. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities. Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply. Motivated students with other backgrounds will also be considered. Application procedure: For more info see http://www.anc.ed.ac.uk/neuroscience and contact one of the supervisors listed above. Next, apply at http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=… -- Mark van Rossum, Reader, School of Informatics, U Edinburgh Forum Rm 2.52, 44-131-6511211 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Brain Connectivity Workshop 2016 - REGISTRATION NOW OPEN
by Demian Battaglia March 5, 2016

March 5, 2016

Brain Connectivity Workshop 2016, Marseille (France) Registration is open now! (reduced rates until March 30th) When: 22nd to 24th June, 2016 Link to official website: http://bcw2016.org We are happy to announce the 15th edition of the Brain Connectivity Workshop (BCW) to take place in Marseille from the 22nd to the 24th of June 2016. The Brain Connectivity Workshop (BCW) is a well-established workshop series, which has been held annually in Europe, USA, Australia and Asia for the last 14 years. BCW is an official satellite of the annual meeting of OHBM, which is held in Geneva, Switzerland in 2016. BCW attracts every year a public of 100-200 participants working in cognitive, computational and clinical neurosciences. The discussions are centered on all themes around brain connectivity including structural and functional imaging, modeling, brain function and clinics. BCW is highly influential in the field due to the traditionally high quality of speakers and a long track record of innovation. For instance, both, the Connectome and The Virtual Brain have been born within the BCW community. The typical BCW format —a first educational day of lectures held by international authorities in their fields, followed by two days of shorter talks with ample time for discussion provides a unique forum for creativity, controversy and brainstorming. BCW 2016, introduced by a first day of tutorials by experts in their field, will feature focused sessions on themes such as perturbing the brain, mapping the brain, and brain dynamics in function (cognition) and dysfunction (epilepsy). NB: Please note that European Cup of Football will be held in France during this period and hotels are going to be booked fast! Confirmed educational lecturers (day 1) and workshop speakers (days 2-3) include: Fabrice Bartolomei (Aix-Marseille University, Marseille, France) Michael Breakspear (QIMR, Brisbane, Australia) Vince Calhoun (University Of New Mexico, Albuquerque, NM) Karl Friston (UCL, London, UK) Jorge Gonzalez-Martinez (Cleveland Clinic, Cleveland, OH) Marc Goodfellow (University of Exeter, Exeter, UK) Charles Gray (Montana State University, Bozeman, MT) Claudius Gros (Goethe University, Frankfurt am Main, Germany) Martin Hoffman-Apitius (Fraunhofer Institute SCAI, St Augustin, Germany) Esther Krook-Magnuson (University of Minnesota, Minneapolis, MN) Pierre Luppi (Lyon Neuroscience Research Center, Lyon, France) Randy McIntosh (Baycrest Research Center, Toronto, ON) Lionel Naccache (ICM, Paris, France) Ivan Soltesz (UC Irvine, CA) Olaf Sporns (Indiana University, Bloomington, IN) William Stacey (University of Michigan, Ann Arbor, MI) Gregor Thut (University of Glasgow, Glasgow, UK) Stephan Van Gils (University of Twente, Ae Enschede, The Netherlands) Michael Wibral (Goethe University, Frankfurt am Main, Germany) A special evening lecture will be delivered by Patrick Chauvel (Aix-Marseille University, Marseille, France). A detailed program is coming soon. Organizing committee Viktor Jirsa, Chair (INS, Aix-Marseille University, UMR 1106 INSERM) Demian Battaglia, Christian Bénar, Mireille Bonnard, Monique Esclapez (INS, Aix-Marseille University) Andrea Brovelli (INT, Aix-Marseille University), Maxime Guye (CRMBM, Aix-Marseille University, UMR 7339 CNRS & APHM) Ingo Bojak (University of Reading, UK). An event sponsored by: University Aix-Marseille, Ville de Marseille, Brain Products, Bionics, Springer EPJ Nonlinear Biomedical Physics Journal, Codebox, Institute of System Neuroscience Inserm, Institute of Neuroscience Timone, Center for Magnetic Resonance in Biology and Medicine, Mediterranean Society of Neuroscience (IBRO member)

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Due March 7: MBL Methods in Computational Neuroscience Course Applications
by Mark Steven Goldman March 5, 2016

March 5, 2016

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

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Postdoctoral postions in sensory neuroscience
by Rinberg, Dmitry March 4, 2016

March 4, 2016

A postdoctoral positions are available in the Rinberg lab (www.rinberglab.com) at the NYU Neuroscience Institute, to study olfactory information processing in an awake behaving animal. The lab is using electrophysiology, imaging, optogenetics, and psychophysics to understand how features of olfactory stimuli are represented in neuronal activity of an awake mouse, and how these features are read by higher brain areas. Postdoctoral researchers will engage in both experimental and computational studies of multineuronal coding in awake, behaving mice. These include, but are not limited to, measurement and analysis of electrophysiological and imaging signals from olfactory bulb and olfactory cortices of the mouse, olfactory psychophysical experiments, and developing new methods for multiunit recordings and stimulations in behaving mice. Candidates with physics and computational backgrounds are very welcome to apply. Interested applicants should send a cover letter, CV, and arrange for reference letters to be e-mailed to Dima Rinberg (rinberg(a)nyu.edu) ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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Postdoctoral position in computational neuroscience
by Maxim Bazhenov March 4, 2016

March 4, 2016

Applications are invited for post-doctoral research position in the laboratories of Drs. Nikolai Rulkov and Maxim Bazhenov at the University of California, San Diego to develop novel computational models of large-scale brain dynamics. This project involves close collaboration with experimental and theoretical groups. The ultimate goal of this research is understanding how the large-scale brain dynamics arises from individual dynamics of spiking neurons and synaptic interactions. The successful candidate will be responsible for the design of new classes of thalamic, cortical and hippocampal neuron models based on the discrete time (difference) equations. These models will be used to model brain network dynamics during sleep and wakefulness, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in dynamical systems, conductance-based neuronal modeling and theory of digital signal processing. Programming experience with C/C++ is required. Knowledge of PYTHON or MATLAB is a plus. The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov (bazhenov(a)salk.edu) and Nikolai Rulkov (nrulkov(a)ucsd.edu)

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Postdoc in Warsaw - kernel-based method of electrophysiological source imaging
by Daniel Wójcik March 4, 2016

March 4, 2016

https://neuroinflab.wordpress.com/jobs/ POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (https://neuroinflab.wordpress.com/) at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences (NENCKI, www.nencki.gov.pl) headed by Prof. Daniel Wójcik (http://www.neuroinf.pl/Members/danek) invites applications for a postdoctoral position (36 months starting between March 2016 and October 2016) that will be available as part of a nationally funded project (NCN OPUS). The goal of the project is to develop and implement a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab, see especially Potworowski et al. 2012 and Ness et al. 2015. Requirements: - PhD, preferred in physics/biophysics, mathematics, computer science, electrical engineering, computational neuroscience or related fields - Strong interest in brain research - Preference for people with experience in one or more of: numerical solutions of PDEs, electrodynamics, computational neuroscience, brain imaging - Advanced programming experience, Python preferred - Exceptional motivation for scientific research (demonstrated in former education record, additional courses completed, list of publications and conferences attended, previous scientific experience, references of the candidate’s thesis advisor, letter-of-intent) - Proficiency in English Application The application should contain the following documents/information: - CV including the list of publications, scholarships and awards, list of computational projects in which the candidate participated (preferably with links to the project website/publication or the candidate’s GitHub account). - Copy of PhD diploma - The applicant should arrange for two letters of recommendation to be sent directly to Prof. Wojcik and should provide contact information (email, phone) for the two referees in the cover letter. Application deadline: We are accepting applications until the position is filled Short-listed candidates with the highest score will be selected for personal or online interviews. Start date: between March 2016 and October 2016 The salary is around 5900 PLN / month (around 4200 PLN after taxes and deductions). To apply or ask for further information send email to d.wojcik(a)nencki.gov.pl -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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Summer School on Dynamic Field Theory...
by John Spencer (PSY) March 4, 2016

March 4, 2016

Greetings Colleagues, I will be teaching a Summer School on Dynamic Field Theory from June 6-17, 2016 at the University of East Anglia. Dynamic field theory is a framework for understanding how the brain gives rise to thinking in real time, and how cognitive decisions leave memory traces that are the basis for learning and development. The Summer School will provide an overview of DFT, using a new text: Dynamic Thinking-A Primer on Dynamic Field Theory. To apply, send a 2-page CV and brief cover letter describing why you want to attend the school to: ssf.advancedtraining(a)uea.ac.uk<mailto:ssf.advancedtraining@uea.ac.uk> Additional details including information on fees can be found at http://www.dynamicfieldtheory.org/engage/ Cheers, John Spencer John P. Spencer, PhD Professor School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Email: j.spencer(a)uea.ac.uk<mailto:j.spencer@uea.ac.uk> School website: http://www.uea.ac.uk/psy Telephone 01603 593968 [cid:image001.png@01D09851.EF67E200] UK Top 20 (16th Complete University Guide 2015, 18th Times and Sunday Times Good University Guide 2015-16) UK 2nd for Student Satisfaction (National Student Survey 2015) World Top 1% (Times Higher Education World Rankings 2015-16) World Top 100 (Leiden Ranking 2015) [facebook]<http://www.facebook.com/ueaofficial> [twitter-old] <http://www.twitter.com/uniofeastanglia> [tumblr] <http://uniofeastanglia.tumblr.com/> [flickr] <http://www.flickr.com/uniofeastanglia> [linkedin] <http://www.linkedin.com/edu/school?id=12699> [youtube] <http://www.youtube.com/ueaofficial> [cid:image008.png@01CF8BB5.50024060] <http://instagram.com/uniofeastanglia>

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Deadline extension | CENICS 2016 || July 24 - 28, 2016 - Nice, France
by Sandra Sendra March 4, 2016

March 4, 2016

INVITATION: ================= The submission deadline is March 23, 2016. Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - CENICS 2016, The Ninth International Conference on Advances in Circuits, Electronics and Micro-electronics Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== CENICS 2016 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS CENICS 2016, The Ninth International Conference on Advances in Circuits, Electronics and Micro-electronics General page: http://www.iaria.org/conferences2016/CENICS16.html Submission page: http://www.iaria.org/conferences2016/SubmitCENICS16.html Event schedule: July 24 - 28, 2016 - Nice, France Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: March 23, 2016 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html CENICS 2016 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2016/CfPCENICS16.html ============================================================ Semiconductors and applications Special semiconductors; Tunable bandgap semiconductors; Piezoelectricity; Polarization; Breakdown voltage; Superconductivity; Ferromagnetism; Biocompatibility; Chemical and thermal stability; Power amplification at very high frequencies; High temperature electronics; LEDs and lasers; Photodetectors; Transistors; Piezoelectric filters Design, models and languages Languages and models for specification and design of hardware; Robust, reliable and/or safe embedded electronics; Circuits/hardware description languages; Standards related to design languages; Processor and memory design; Embedded system design; VHDL-related standards; Electronic circuits modelling; Automatic generation of models; Quantitative analysis of models; Distributed CAD systems; Collaborative design based on Internet and WWW; Electronic systems design based on WWW; System- and high-level synthesis, HW/SW codesign Signal processing circuits Signal processing; High-speed signal processing; Multi-scale signal processing and imaging; Asynchronous circuits and systems; High frequency processing; Power and signal amplifiers; Parallel processing circuits; Equalization processing; Compression, transcoding, and applied signal processing Arithmetic computational circuits Operational arithmetic circuits; Basic arithmetic operations; Modular operations; Decimal-floating point operations; Multiple-precision operations; Squaring and exponentiation; Polynomial evaluations; Periodic functions; Operational approximations; Parallel decimal operations Microelectronics Components and circuits for communications; HMIC and MMIC design; Micro-electronics; Nano-electronics; Lasers and mini-lasers; Miniature devices; Low power electronics; Nano-scale electronics materials Electronics technologies Organic optoelectronic; Implantable electronics; Wearable electronics; Low power electronics; Electronic microarray technology and applications; RF and Microwave Special circuits Programmable circuits; Design of reconfigurable micro-chips; VLSI circuits design; Low-noise circuits; Digital modulators; Micro-sensors; Micro-antennas; Thermal circuits; Reconfigurable circuits; Dynamically reconfigurable processors; Oscillators; VCOs and phased-array transmitters Consumer electronics Home-oriented electronics; Biometric circuits; Home gateway; Home theater circuitry; Game systems; Interactive and directed programming electronics; Advanced DVD and CD; Interactive and directed programming electronics Application-oriented electronics Navigation electronics; Industrial electronics; Automotive electronics; Application-oriented electronics; Telemedicine and eHealth electronics; Biochip design for health science applications; Bio-systems and miniature instruments; Biosensors and biosensor networks; Industrial measurement electronics; Industrial control electronics; Energy distribution electronics; Energy saving and conversion circuits; Indoor and outdoor light control systems; Power electronics; Avionics electronics; Railways electronics; Vehicular electronics; Embedded electronics; Process industry electronics ------------------------ CENICS 2016 Committee: http://www.iaria.org/conferences2016/ComCENICS16.html CENICS Advisory Committee Vladimir Privman, Clarkson University - Potsdam, USA Sergey Y. Yurish, Technical University of Catalonia (UPC-Barcelona), Spain Martin Horauer, University of Applied Sciences Technikum Wien, Austria Adrian Muscat, University of Malta, Malta CENICS 2016 Research/Industry Chairs Ravi M. Yadahalli, S G Balekundri Institute of Technology, Belagavi, Karnataka, India CENICS 2016 Industry Liaison Chairs Falk Salewski, Muenster University of Applied Sciences, Germany CENICS 2016 Publicity Chair Sandra Sendra Compte, Universidad Polit�cnica de Valencia, Spain CENICS 2016 Special Area Chairs Formalisms Peeter Ellervee, Tallinn University of Technology, Estonia Application-oriented Josu Etxaniz Mara�on, University of the Basque Country / Universidad del Pa�s Vasco / Euskal Herriko Unibertsitatea - Bilbao, Spain Sensors Yulong Zhao, Xi'an Jiaotong University, China ==============

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Postdoctoral position in Theoretical Neuroscience
by Yashar Ahmadian March 4, 2016

March 4, 2016

POSITION: Yashar Ahmadian's Theoretical Neuroscience group at University of Oregon, in Eugene, Oregon, is seeking a highly motivated postdoctoral researcher to work on developing theoretical models of information processing in animal brains and statistical methods for analyzing high-dimensional neural and behavioral datasets. The position is available immediately, and provides a competitive annual salary and benefits. RESEARCH TOPIC: The driving questions behind our research are: How do large neuronal populations, particularly in sensory cerebral cortex, process inputs and adapt to their statistical structure on multiple time scales? What is the role of these networks' intrinsic dynamics in sensory processing, and the role of horizontal and feedback connections in shaping this dynamics? What general computations can be performed by partially random connectivity, not designed or learned for specific tasks? In the pursuit of these aims we use techniques and concepts from statistical physics, machine learning, random matrix theory, and statistics. We will also develop new statistical methods for uncovering structure in high-dimensional neural data (Calcium-imaging, multi-electrode recordings, EEG). We collaborate closely with experimental labs in systems and cognitive neuroscience in the Institute of Neuroscience at University of Oregon, and some of the projects will involve hands on analysis of experimental data. For more information, please visit: http://uoneuro.uoregon.edu/ahmadian/index.php http://www.neuro.uoregon.edu/ ENVIRONMENT: Our group is young and dynamic. We are affiliated with the Biology and Mathematics departments and the Institute of Neuroscience at the University of Oregon. The Institute of Neuroscience is a closely knit community with lots of cross-talk between computational, systems and cognitive neuroscientists. Eugene is a culturally diverse city, with a beautiful and pristine surrounding geography. Situated in the Willamette valley, we are minutes away from the lush Oregon rain forests and hot springs, an hour away from the Cascade mountain range, and also an hour from the Pacific ocean. QUALIFICATIONS: selection criteria include strong mathematical/analytical skills, programming experience, familiarity with computational neuroscience and/or machine learning, and past research accomplishments. Applicants must have a Ph.D. in a quantitative discipline, e.g. physics, engineering, math, machine learning or statistics. Previous experience with neurobiology or a Ph.D. in computational neuroscience is advantageous but not required. APPLICATION: Applicants should submit a statement of research interests (1-2 pages), a current CV, and the names and contacts of 2-3 references. Questions and application material should be emailed to Yashar Ahmadian (yashar(at)uoregon.edu) Application review will begin on March 4 and continue until the position is filled.

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Human Brain Project workshop on Neurorobotics @ Biorob2016 - Call for Contributions
by Falotico Egidio March 3, 2016

March 3, 2016

Dear colleagues (with advance apologies for any cross-postings), We invite submissions for oral or poster presentations at the Huma Brain Project workshop on Neurorobotics that will be organized on June 26th, at the sixth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics BioRob 2016, in Singapore. http://sssa.bioroboticsinstitute.it/workshops/biorob2016 Prospective authors should submit the extended abstract (one A4 page, in PDF format) by March 30th, 2016 . Notification of acceptance will be received no later than April 8th. For submission please refer to the following link: http://sssa.bioroboticsinstitute.it/workshops/biorob2016/HBPPaperSubmission… ABSTRACT Neurorobotics is already an established branch of robotics that in the last years, taking advantage from an increase in the accessibility of existing neuroscientific data and knowledge, allowed building robotic systems that can exhibit robustness, adaptability and several features of the human intelligence. Reciprocally, significant developments in robotics and machine learning put robotics in the service of neuroscience as experimental platforms or test-beds of brain models. In the last years, advanced insights and the increasing availability of cheap processing power has led Neurorobotics to follow two tracks of research with different goals and methods: The first track focuses on neuro-inspired computing paradigms that mimic nervous system functions based on Spiking Neural Networks. This does not only foster our understanding of biological systems but also contributes to future technical applications in artificial systems. In the past, limited processing power and the lack of appropriate models and tools shifted the focus of research far away from biological neural networks. Recently a number of projects like the US BRAIN Initiative and the Human Brain Project have taken up the challenge by combining efforts from the fields of neuroscience and computer science to enable the large scale modeling and simulation of biological neural networks with billions of spiking neurons. The second track, extending the theory of classical artificial neural networks, mostly relies on simpler neuron models but integrate them in novel network architectures. These networks are extensively used in robotics, allowing mimicking the function of some brain areas in order to reproduce complex behaviors with a reduced computational cost. This workshop seeks to present and discuss advances in neuroscientific models for cognition and new perspectives in control for robotic applications based on both biologically-inspired and artificial neural networks. The final goal is to bring together researchers from both robotics and neuroscience in order to explore how to maximize the progress at the multidisciplinary frontier evaluating the advantages of both tracks of the Neurorobotics research. TOPICS OF INTEREST - Bio-inspired sensory-motor coordination and adaptive control - Active perception - Neurocontrollers - Self-organization and sensory-motor mapping - Predictive behaviour - Bio-inspired learning robots - Robot imitation and learning by demonstration - Memory-based algorithms - Cognitive behaviours in robots - Reservoir computing - Deep learning - Neuromorphic computing for robotics KEYNOTE SPEAKERS Giorgio Metta (Italian Institute of Technology, Italy) - The use of motor invariants can improve action discrimination Tomohiro Shibata (Kyushu Institute of Technology, Japan) Functional Robotic Assistance of Human Motor Learning Ruediger Dillman (Research Center for Information Technology, Germany) - Modelling Cortical Sensor-Motor Control Functionalities with a Spiking Neural-Robot Control Simulator Sunil L. Kukreja (National University of Singapore, Singapore) Integration of Neuromorphic Tactile Perception with Haptic Feedback in a Virtual and Augmented Reality World for Advanced Robotic Control Best Regards, Egidio Falotico, Cecilia Laschi (The BioRobotics Institite,Scuola Superiore SantAnna , Italy) Florian Röhrbein, Florian Walter (Technical University of Munich, Germany) Organizers

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