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Fully funded PhD position in Neural Learning / Robotics / Evolutionary Neural Networks
by Andrea Soltoggio June 25, 2015

June 25, 2015

A fully funded PhD position is available at the Deep Automation, Learning and Evolution Lab at Loughborough University, UK, on the topics of Neural Learning / Robotics / Evolutionary Neural Networks. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m journey by train. Research. The focus is on developing new neural learning algorithms with possible applications to a variety of automation and machine learning problems, e.g. vision, robotics, autonomous vehicles, manufacturing technology. We seek an outstanding candidate, capable of defining their own research project and bringing novel ideas and initiatives to the lab. Working environment. The student, based at the Computer Science Department, School of Science, will have access to a number of robotic platforms, from humanoid robots, to UAVs and a number of industrial and service robots, as well as a High Performance Computing cluster and GPUs. Interdisciplinary research is encouraged across laboratories, including Aeronautical and Automotive Engineering, the Intelligent Automation Lab, and the Centre for Information Management. The research group collaborates with leading national and international industrial partners. Requirements. The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period/Scholarship. Start: October 2015. Duration: 3 years. Scholarship: £14,057 per annum plus tuition fees at the UK/EU rate (currently £4,052 p.a.) Enquiries and applications. Interested candidates are invited to establish a preliminary contact with me (a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk>), possibly including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words), before submitting the full application at http://www.lboro.ac.uk/study/apply/research/ Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science and Centre for Information Management (CIM) School of Business and Economics Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748<tel:%2B44%20%280%29%201509%20635748> Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Job: Post-doctoral Scientist - Investigating the Feasibility of Controlling Hearing-aid Directionality Using In-Ear Electrodes to Measure Eye Position.
by Bernd Porr June 25, 2015

June 25, 2015

Dear all, this is something for somebody who has a strong background in signal processing / biomed signal processing. If interested please contact Owen Brimijoin <owen(a)ihr.gla.ac.uk>. Best /Bernd Porr -------------------------------------------------------------------- Salary: £27,084 – 29,567 Grade: MRC - 4a Contract Type: Fixed Term, 24 months Hours: Full Time Closing Date:31 July 2015 Interview Date: 26 August 2015 The successful applicant will be based at the MRC/CSO Institute of Hearing Research (IHR) in Glasgow within the Auditory Disability and Impairment group headed by Dr William Whitmer. The successful applicant will join a small group of researchers but will work most closely with Drs Owen Brimijoin (IHR), Bernd Porr (Glasgow Uni), and Graham Naylor (Oticon) on a project investigating the feasibility of using in-ear measurements of eye position to guide hearing aid directionality. The project will use electrooculograms (EOG), optical eye and head tracking, digital signal processing, microphone arrays, as well as our extensive audiological and auditory testing facilities. Your work will consist of writing signal-processing algorithms to combine the output of an EOG amplifier, gyroscopes, and other extra-cochlear signals to yield a reliable measure of eye position that can be used to aim the directional beam of an experimental hearing aid. The work will continue with implementing these algorithms in Matlab and/or C, designing experiments to test benefit, statistical analysis of results, and delivery of these results for dissemination (conference abstracts and presentations, invited lectures and seminars, and published manuscripts in specialized and generic journals). -- http://www.berndporr.me.uk http://www.linux-usb-daq.co.uk http://www.imdb.com/name/nm3293421/ +44 (0)7840 340069

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Deep Learning and Continuous Time Computing - Track at SAC 2016 - Call for Papers
by Davide Zambrano June 24, 2015

June 24, 2015

Dear all, Please consider joining our track at SAC2016. Apologies for cross posting. Best regards. ————————————————————————————————————— ACM Symposium on Applied Computing (SAC) 2016 The 31st Annual ACM Symposium on Applied Computing in Pisa, Italy, April 3 – 8, 2016. (webpage : http://www.acm.org/conferences/sac/sac2016/) Deep Learning and Continuous-Time Computing (webpage : http://event.cwi.nl/sac2016/) ————————————————————————————————————— SAC 2016: For the past thirsty years, the ACM Symposium on Applied Computing has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be hosted by the University of Pisa and Scuola Superiore Sant’Anna University, Italy. Artificial Intelligence (AI) is one of the objectives of Machine Learning: how to create computers capable of intelligent behavior. Deep Learning in artificial neural networks represents a remarkable step toward this direction. Current state-of-the-art AI in the form of deep neural networks has recently demonstrated breakthrough performance in various AI-cognitive tasks, from image and speech recognition to natural language generation and playing ATARI games. However, in real-world applications like video processing or robot control, a deep neural network has then to be updated continuously, causing a high computational load. Specialized acceleration hardware is being developed for deep learning in continuous-time environments. In addition, or alternatively, Spiking Neural Networks (SNNs) represent another possible solution for efficient continuous-time representation and computing in deep neural networks. This Track aims to consolidate the current state-of-the-art in deep learning, continuous-time computing, spiking neural networks and related acceleration hardware tools (such as GPUs, SpiNNaker or Neuromorphic Silicon systems) showing recent and future progresses of this rising and growing research field. ————————————————————————————————————— Topics of interests: Deep learning Continuous-time learning Spiking Neural Networks Asynchronous computation Large scale parallel simulations and computing Neuromorphic computing ————————————————————————————————————— Important Dates are published on the Conference or Track webpages. ————————————————————————————————————— Track Program Committee: Sander Bohte, CWI Amsterdam (NL) (Track Chair — email to s.m.bohte(a)cwi.nl ) Davide Zambrano, CWI Amsterdam (NL) (Track Chair — email to d.zambrano(a)cwi.nl ) Thomas Nowotny, University of Sussex (UK) Steven Furber, University of Manchester (UK) Karl Tuyls, University of Liverpool (UK) Shih-Chii Liu, University of Zurich/ETH Zurich (CH) Robert Babuska, Delft University of Technology (NL) Andre Gruning, University of Surrey (UK) Max Welling, University of Amsterdam (NL) Narayan Srinavasa, HRL Laboratories LLC (USA) Eleni Vasilaki, University of Sheffield (UK) ————————————————————————————————————— Important notice: Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. ————————————————————————————————————— Dr. Davide Zambrano PostDoc at CWI, Amsterdam (NL) MSc in Biomedical Eng. - PhD in Biorobotics D.Zambrano(a)cwi.nl Centrum Wiskunde & Informatica (CWI) Science Park, 123 1098 XG - Amsterdam

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Gordon Research Conference on Eye Movements
by Emilio Salinas June 24, 2015

June 24, 2015

Readers of this list may be interested in the upcoming Gordon Research Conference on Eye Movements. This year's theme, "Integrating Perception and Action for Optimal Vision", promises to provide fresh perspectives on core oculomotor issues. The meeting is meant as an immersive experience in which participants share ideas over meals and jointly participate in scheduled and unscheduled social activities. The format provides unparalleled opportunity for participants at all career stages to share their most novel findings, foster new collaborative efforts, and chart the future directions of oculomotor research. WHAT: Call for applications for the 2015 Gordon Research Conference on Eye Movements (main meeting) and Gordon Research Seminar on Eye Movements (1-day forum for students and postdocs) DEADLINE FOR APPLICATIONS: June 28th WHEN: July 26-31 (GRC), July 25-26 (GRS) WHERE: Bentley University, Waltham MA (just outside of Boston) HOW: Apply online - GRC application; GRS application DETAILS: http://www.grc.org/programs.aspx?id=14523 Emilio Salinas, on behalf of Terry Stanford & John Van Opstal (GRC Chairs) Doug Crawford & Marc Sommer (GRC Vice-chairs) Jaime Kaminer and Martin Bohlen (GRS Chairs)

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Rapid image categorization via edge co-occurrences
by James A. Bednar June 23, 2015

June 23, 2015

We are pleased to announce the publication of an open-access paper demonstrating a novel method for categorizing images using the statistics of their edge co-occurrences. The success of this low-level method in matching both correct and incorrect classifications by humans suggests a reinterpretation of longstanding claims for rapid hierarchical processing in the visual cortex. Laurent U. Perrinet Institut de Neurosciences de la Timone Aix Marseille Universite, CNRS James A. Bednar Institute for Adaptive and Neural Computation University of Edinburgh _______________________________________________________________________________ Laurent U. Perrinet and James A. Bednar. Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports, Nature Publishing Group, 5:11400, 2015. http://dx.doi.org/10.1038/srep11400 Abstract: Making a judgment about the semantic category of a visual scene, such as whether it contains an animal, is typically assumed to involve high-level associative brain areas. Previous explanations require progressively analyzing the scene hierarchically at increasing levels of abstraction, from edge extraction to mid-level object recognition and then object categorization. Here we show that the statistics of edge co-occurrences alone are sufficient to perform a rough yet robust (translation, scale, and rotation invariant) scene categorization. We first extracted the edges from images using a scale-space analysis coupled with a sparse coding algorithm. We then computed association for different categories (natural, man-made, or containing an animal) by computing the statistics of edge co-occurrences. These differed strongly, with animal images having more curved configurations. We show that this geometry alone is sufficient for categorization, and that the pattern of errors made by humans is consistent with this procedure. Because these statistics could be measured as early as the primary visual cortex, the results challenge widely held assumptions about the flow of computations in the visual system. The results also suggest new algorithms for image classification and signal processing that exploit correlations between low-level structure and the underlying semantic category. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE
by Santamaria, Cookie June 22, 2015

June 22, 2015

POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE The BioCircuits Institute (BCI) and Departments of Physics, Chemistry/Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities. The ideal candidate will have experience with electrophysiology, with awake behaving animals, with neural modeling, and/or with biologically inspired integrated circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved. We will accept applications immediately. To be considered, please submit your complete application by Friday, 31 July 2015. We will begin making selections from the completed applications on 3 August 2015. The Committee will continue to accept and review completed applications as they are received until the position is filled. Appointments are for two years (in one-year increments) with the possibility of a third. Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: <postdoc.muri(a)gmail.com<mailto:postdoc.muri@gmail.com>>. A Ph.D. or equivalent doctoral degree is required prior to the appointment. UCSD is an EO/AA employer.

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Development of model description languages
by Erik De Schutter June 22, 2015

June 22, 2015

Postdoctoral researcher and staff scientist positions are available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University. We are looking for a postdoc with a computer science or engineering background who is interested in the development of XML-based methods for model description and simulation. You will collaborate with international colleagues on further development of NIneML (http://nineml.net) and deploy it within the research group. Previous experience related to collaborative projects in computational neuroscience or systems biology preferred. You will interact with other researchers and students in the lab who are working on cerebellar modeling projects or analyzing cerebellar recordings. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp

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SPIKY and PySpike – Two free software packages for monitoring spike train synchrony
by Thomas Kreuz June 21, 2015

June 21, 2015

Dear all, we would like to draw your attention to our two most recent papers and to two new software packages. *1. Two new papers:* This paper provides a detailed description of *SPIKY* (see 2.) and introduces our new measure *SPIKE-synchronization*: • Kreuz T, Mulansky M, Bozanic N: SPIKY: A graphical user interface for monitoring spike train synchrony. JNeurophysiol <http://jn.physiology.org/content/113/9/3432> 113, 3432 (2015) [PDF] <http://www.fi.isc.cnr.it/users/thomas.kreuz/images/Kreuz_JNeurophysiol_2015…>. An overview of all three of our measures (*ISI-distance, SPIKE-distance and SPIKE-synchronization*) and their mathematical properties can be found in • Mulansky M, Bozanic N, Sburlea A, Kreuz T: A guide to time-resolved and parameter-free measures of spike train synchrony. IEEE Proceedings (in press) and arXiv [PDF] <http://arxiv.org/pdf/1502.02027v2.pdf> (2015). *2. SPIKY, graphical user interface (Matlab) for monitoring spike train synchrony* Implementations of ISI-distance, SPIKE-distance, and SPIKE-Synchronization Distances, time profiles, distance matrices, selective averaging, triggered averages, dendrograms, etc. Plotting, movie generation Spike train generator, event detector (for continuous data such as EEG) Matlab with C backend (MEX) Matlab fallback if no MEX-compiler is not available Extensive documentation includes many illustrative movies Matlab source codes and all relevant papers are available on our *SPIKY download page* http://www.fi.isc.cnr.it/users/thomas.kreuz/Source-Code/SPIKY.html For further information about new features and updates please check the *SPIKY Facebook page* https://www.facebook.com/SPIKYgui Here you'll also find a lot of documentation including many images and movies that illustrate how to use SPIKY. All of these movies can also be found on the *SPIKY Youtube channel* https://www.youtube.com/user/SPIKYgui1 *3. PySpike, open source Python library hosted on github* Implementations of ISI-distance, SPIKE-distance, and SPIKE-Synchronization Library of functions to compute distances and profiles (bivariate and multivariate), distance matrices, selective averages, etc. Helper functions for plotting, spike train generation Cython backend for optimal performance (factor 100-200 over plain Python) Python fallback if Cython is not available Extensive unit-tests that cover the API as well as the numerics Automatic build and test runs Documentation The github issues system can be used to file bug reports or request new functionality and features. *PySpike webpage* http://www.pyspike.de *PySpike github page* https://github.com/mariomulansky/PySpike Any feedback on both the papers and the software packages is very welcome. Best wishes, Thomas Kreuz -- Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz(a)cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/

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Research Associate Position in Computational Neural Modeling (Duke University)
by Angel V. Peterchev June 21, 2015

June 21, 2015

RESEARCH ASSOCIATE in COMPUTATIONAL NEURAL MODELING DUKE UNIVERSITY Department of Biomedical Engineering and Department of Psychiatry & Behavioral Sciences An opportunity exists to join a research team working to understand and advance transcranial magnetic stimulation (TMS). TMS is a non-invasive form of brain stimulation used widely as a neuroscience research tool as well as a treatment for psychiatric and neurological disorders (FDA approved for depression since 2008). We have an ongoing NIH-funded project that combines computational modeling at several scales with single neuron recordings in pre-clinical models. We seek a highly-motivated individual who is interested in developing and applying computational models of TMS. The parallel experimental component of the study provides unique opportunities to validate and calibrate computational models. This is a full-time position with University Benefits and provides exceptional opportunities for interdisciplinary research and career development. This position will be jointly mentored by Angel V. Peterchev, PhD<https://sites.google.com/site/dukebrainstimulation/> (Department of Psychiatry & Behavioral Sciences, School of Medicine) and Warren M. Grill, PhD<http://www.bme.duke.edu/faculty/warren-grill> (Department of Biomedical Engineering, Pratt School of Engineering), providing exposure to both clinical and engineering research settings. A PhD in biomedical engineering, electrical engineering, neuroscience, physics, or math is required, as are excellent communication skills. Previous experience in computational neural modeling is required, and previous experience with neural stimulation is desirable. For consideration submit a CV and the names and contact information of three professional references as a .pdf file attachment to: Angel V. Peterchev, PhD Assistant Professor of Psychiatry & Behavioral Sciences, Biomedical Engineering, and Electrical & Computer Engineering angel.peterchev(a)duke.edu<mailto:angel.peterchev@duke.edu> Duke University is an equal opportunity / affirmative action employer.

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Congratulations to the Winners of the 2015 Best Illusion of the Year Contest!
by Susana Martinez-Conde June 19, 2015

June 19, 2015

Congratulations to the winners of the 11th annual Best Illusion of the Year Contest <http://illusionoftheyear.com/> ! Online voters around the world chose the best illusions of the year from Thursday, June 11th 7pm EST to Friday, June 12th 7PM EST. First Place and an award of $3,000 USD went to "Splitting Colors <http://illusionoftheyear.com/2015/splitting-colors/> ," a color illusion by Mark Vergeer from KU Leuven, Belgium. Second Place and an award of $2,000 USD went to "Ambiguous Garage Roof <http://illusionoftheyear.com/2015/ambiguous-garage-roof/> ," a perspective illusion by Kokichi Sugihara from Meiji University, Japan. Third Place and an award of $1,000 USD went to "The Day it Rained on Lowry <http://illusionoftheyear.com/2015/the-day-it-rained-on-lowry/> ," a motion illusion by Michael Pickard from VisuallyDirectedDesign.com in the UK. Enjoy the winning illusions and all Top 10 Finalists <http://illusionoftheyear.com/cat/top-10-finalists/2015/> at http://illusionoftheyear.com Illusion submissions <http://illusionoftheyear.com/about-the-contest/submission-instructions/> are now accepted for the 12th edition of the Best Illusion of the Year Contest, to be held in 2016. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse The Neural Correlate Society is a tax-exempt 501(c)3 non-profit organization, whose mission is to promote the public awareness of neuroscience research. ----------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Scholar, Empire Innovator Program State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com Phone: +1 718-270-4520 <http://smc.neuralcorrelate.com/> http://smc.neuralcorrelate.com

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CFP 7th International Joint Conference on Computational Intelligence - IJCCI 2015
by Calendar Sites June 19, 2015

June 19, 2015

Please note that the dates of the UPCOMING DEADLINES have been slightly changed. ____________________________________________________________________________ _____ CALL FOR PAPERS 7th International Joint Conference on Computational Intelligence IJCCI 2015 Website: http://www.ijcci.org/ November 12 14, 2015 Lisbon, Portugal <http://www.ijcci.org/Glossary.aspx#11> <http://www.ijcci.org/Glossary.aspx#11> Regular Papers Paper Submission: July 14, 2015 (extended) Authors Notification: September 18, 2015 Camera Ready and Registration: October 2, 2015 <http://www.ijcci.org/Glossary.aspx#12> <http://www.ijcci.org/Glossary.aspx#12> Position Papers Paper Submission: July 14, 2015 Authors Notification: September 21, 2015 Camera Ready and Registration: October 5, 2015 <http://www.ijcci.org/Glossary.aspx#46> Doctoral Consortium Paper Submission: September 3, 2015 Authors Notification: September 17, 2015 Camera Ready and Registration: September 29, 2015 <http://www.ijcci.org/Glossary.aspx#42> Special Sessions Special Session Proposal: June 26, 2015 Paper Submission: September 2, 2015 Authors Notification: September 17, 2015 Camera Ready and Registration: September 25, 2015 Tutorials, Demos and panels Proposals: July 27, 2015 Sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: WfMC Workflow Management Coalition OMG Object Management Group FIPA Foundation for Intelligent Physical Agents Technically Co-sponsored by: IFAC International Federation of Automatic Control IEEE SMC - Systems, Man, and Cybernetics Society In Cooperation with: AI*IA Associazione Italiana per l'Intelligenza Artificiale INNS - The International Neural Network Society AAAI Association for the Advancement of Artificial Intelligence EUSFLAT European Society for Fuzzy Logic and Technology APPIA Portuguese Association for Artificial Intelligence International Fuzzy Systems Association Logistics Partner: SCITEVENTS Science and Technology Events The purpose of IJCCI is to bring together researchers, engineers and practitioners on the areas of Fuzzy Computation, Evolutionary Computation and Neural Computation. IJCCI is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas. ECTA 2015 - 7th International Conference on Evolutionary Computation Theory and Applications PROGRAM CO-CHAIRS Agostinho Rosa, IST, Portugal Juan Julian Merelo, University of Granada, Spain CONFERENCE TOPICS * Genetic Algorithms * Machine Learning * Cognitive Systems * Artificial Life * Representation Techniques * Evolutionary Multiobjective Optimization * Game Theory and Applications * Evolution Strategies * Evolutionary Robotics and Intelligent Agents * Society and Cultural Aspects of Evolution * Concurrent Co-operation * Co-evolution and Collective Behavior * Biocomputing and Complex Adaptive Systems * Bio-inspired Hardware and Networks * Swarm/Collective Intelligence * Evolutionary Art and Design * Hybrid Systems * Memetic Algorithms FCTA 2015 - 7th International Conference on Fuzzy Computation Theory and Applications PROGRAM CO-CHAIRS António Dourado, University of Coimbra, Portugal José M. Cadenas, University of Murcia, Spain CONFERENCE TOPICS * Fuzzy Hardware, Fuzzy Architectures * Soft Computing and Intelligent Agents * Mathematical Foundations: Fuzzy Set Theory and Fuzzy Logic * Approximate Reasoning and Fuzzy Inference * System Identification and Fault Detection * Fuzzy Information Retrieval and Data Mining * Fuzzy Information Processing, Fusion, Text Mining * Learning and Adaptive Fuzzy Systems * Complex Fuzzy Systems * Pattern Recognition: Fuzzy Clustering and Classifiers * Fuzzy Image, Speech and Signal Processing, Vision and Multimedia * Industrial, Financial and Medical Applications * Type-2 Fuzzy Logic * Neuro-fuzzy Systems * Fuzzy Systems Design, Modeling and Control * Real-time Learning of Fuzzy and Neuro-fuzzy Systems * Fuzzy Control * Fuzzy Systems in Robotics: Sensors, Navigation and Coordination * Software for Fuzzy Systems and Control NCTA 2015 - 7th International Conference on Neural Computation Theory and Applications PROGRAM CHAIR Kurosh Madani, University of Paris-EST Créteil (UPEC), France António Ruano, University of Algarve, Portugal CONFERENCE TOPICS * Pattern Recognition * Industrial, Financial and Medical Applications * Computational Neuroscience * Neural Network Software and Applications * Neuroinformatics and Bioinformatics * Learning Paradigms and Algorithms * Supervised and Unsupervised Learning * Adaptive Architectures and Mechanisms * Support Vector Machines and Applications * Complex Artificial Neural Network Based Systems and Dynamics * Higher Level Artificial Neural Network Based Intelligent Systems * Bio-inspired and Humanoid Robotics * Image Processing and Artificial Vision Applications * Intelligent Artificial Perception and Neural Sensors * Modular Implementation of Artificial Neural Networks * Neural based Data Mining and Complex Information Processing * Neural Multi-agent Intelligent Systems and Applications * Self-organization and Emergence * Stability and Instability in Artificial Neural Networks * Neural Network Hardware Implementation and Applications * Neural Computation issues in Social Behaviour Emergence PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef ( <http://www.crossref.org/> http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the <http://www.scitepress.org/DigitalLibrary/Default.aspx> SCITEPRESS Digital Library . A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a <http://www.springer.com/series/7092> SCI Series book. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the websites for further information: http://www.ecta.ijcci.org/BestPaperAward.aspx <http://www.fcta.ijcci.org/BestPaperAward.aspx> http://www.fcta.ijcci.org/BestPaperAward.aspx <http://www.ncta.ijcci.org/BestPaperAward.aspx> http://www.ncta.ijcci.org/BestPaperAward.aspx IJCCI KEYNOTE LECTURES <http://www.ijcci.org/KeynoteSpeakers.aspx#1> Julian Togelius, New York University, United States <http://www.ijcci.org/KeynoteSpeakers.aspx#2> Yaochu Jin, University of Surrey, United Kingdom <http://www.ijcci.org/KeynoteSpeakers.aspx#3> Anna Esparcia-Alcázar, Universitat Politècnica de València, Spain <http://www.ijcci.org/KeynoteSpeakers.aspx#4> Edwin Lughofer, Johannes Kepler University, Austria IJCCI CONFERENCE CHAIR Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal Please check further details at the conference website ( <http://www.ijcci.org/> http://www.ijcci.org/) IJCCI SECRETARIAT Address: Av. D. Manuel I, 27A, 2º esq. 2910-595 Setúbal - Portugal Tel.: +351 265 100 033 Fax: +44 203 014 8813 e-mail: ijcci.secretariat(a)insticc.org

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BCF/NWG Course "Analysis and Models in Neurophysiology" 2015 at the Bernstein Center Freiburg, Germany
by Birgit Ahrens June 19, 2015

June 19, 2015

-- APPLICATION DEADLINE APPROACHING ON JUNE 30 -- BCF/NWG Course "Analysis and Models in Neurophysiology" Sunday, October 4 - Friday, October 9, 2015 Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany Aim of the course: The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. The course includes various topics such as: - Neuron Models and Point Processes (Prof. Stefan Rotter) - Local field potentials (Prof. Ulrich Egert) - Neural Coding (Dr. Robert Schmidt) - Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and matching exercises using Matlab and Mathematica in the afternoon. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master students and PhD students (preferentially in their first year). Application: Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: - Reasons for wanting to take this course - Background in mathematics - Background in scientific programming - Experience in using Matlab and Mathematica - Background in neuroscience The course is limited to 20 participants. Course fees: NWG members - 50€, others - 125€ Application deadline: June 30, 2015 More information: http://www.bcf.uni-freiburg.de/events/conferences-workshops/20151004-nwgcou… -- Dr. Birgit Ahrens Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

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NEST, The Neural Simulation Tool, now available on GitHub
by Hans Ekkehard Plesser June 19, 2015

June 19, 2015

Dear Colleagues! Development of the widely used Neural Simulation Tool NEST for large-scale spiking neuronal network models has now moved to GitHub at https://github.com/nest/nest-simulator The code on GitHub is based on the code base for the coming NEST 2.6.1 bugfix release and is available under GNU Public License version 2 or later. By cloning NEST from our GitHub repository, you will have immediate access to all improvements in the NEST master repository. We would also like to encourage community development contributions to NEST. If you would like to contribute to NEST, you should fork NEST on GitHub and submit your contributions via pull requests. More information: - About the NEST Simulator: http://www.nest-simulator.org - About contributing to NEST: https://nest.github.io/nest-simulator/ - About the NEST Initiative: http://www.nest-initiative.org - User mailing list: http://mail.nest-initiative.org/cgi-bin/mailman/listinfo/nest_user - Video about NEST: http://www.youtube.com/watch?v=v0YEiren7D0 About NEST: NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. The development of NEST is coordinated by the NEST Initiative. NEST is ideal for networks of spiking neurons of any size, for example: • Models of information processing e.g. in the visual or auditory cortex of mammals, • Models of network activity dynamics, e.g. laminar cortical networks or balanced random networks, • Models of learning and plasticity. Best regards, Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser, Associate Professor Section Head 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.umb.no/~plesser

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Post-doc position at QMUL in 3D vision
by Miles Hansard June 18, 2015

June 18, 2015

Post-doc position at Queen Mary, University of London: Geometric Evaluation of Stereoscopic Video. A research assistant is sought for this EPSRC project, which will develop a new approach to the evaluation of 3D content, based on computational models of visual perception. Ideas from computer vision will be used to model the geometry of binocular viewing, including the role of eye-movements. A prototype computer vision system will be developed, for the automatic analysis of disparity statistics in stereoscopic video. The output of this system will be targeted at depth-grading and other post-production tasks. The project is in conjunction with a high-profile graphics and visual effects company. There will also be opportunities to work on stereoscopic VR HMD applications. Expertise in scientific programming, including C++ and Matlab, is essential (OpenCV, R, and GPU programming would be useful). Previous work in augmented reality, 3D reconstruction, or psychophysical methods would be an advantage. Please contact Miles Hansard at Queen Mary, University of London (http://www.eecs.qmul.ac.uk/~milesh/) for further information. All nationalities are eligible to apply. For details and procedure see: http://www.jobs.ac.uk/job/ATW277/research-assistant/ -- http://www.eecs.qmul.ac.uk/~milesh/

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Aspect of Neuroscience 2015 - invitation for the conference
by Daniel Borek June 18, 2015

June 18, 2015

Dear Friends, On behalf of the Board of the Neurobiology Student Scientific Association operating at the Faculty of Biology of the University of Warsaw I would like to invite you to the 5th International Conference " Aspects of Neuroscience" that will be held in Warsaw, Poland, from November 27th to 29th 2015. As in the following years, this time the Conference also consists of poster and report symposia. November symposia will be devoted to: Neurobiology, Cognitive Neuroscience, Clinical Neuroscience and Neuroinformatics. Each of the thematic symposium will be preceded by a lecture delivered by one of the guests, a specialist of a given domain. During the last editions of the conference we had privilege to host such outstanding neuroscientists as Prof. Semir Zeki, Prof. Richard Frackowiak or Prof. Bruce Graham. The conference is intended for students, doctoral students and research workers related to neuroscience. The student lectures will take place simultaneously in two rooms, in basic and extended version. The basic session provides an opportunity to present theoretical and review talks for the students who do not conduct their own research yet. We would like the conference to gather academics with different background and level of expertise, who share the common passion for neuroscience. Language of conference is English. Registration for the conference will be open from July 1st. More information about conference and the whole Project: www.neuronauka.org/eng Find us on facebook: https://www.facebook.com/AspectsOfNeuroscience?fref=ts Yours sincerely, Daniel Borek Neurobiology Student Scientific Association at the University of Warsaw Organizing Committee of the International Conference of Students and Young Scientists "The Aspects of Neuroscience"

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Open position in Juelich, Germany: Koordinator Software Development
by Martina Reske June 17, 2015

June 17, 2015

Das Forschungszentrum Jülich betreibt interdisziplinäre Spitzenforschung und stellt sich drängenden Fragen der Gegenwart. Es leistet Beiträge zur Lösung großer gesellschaftlicher Herausforderungen in den Bereichen Energie und Umwelt sowie Information und Gehirn. Mit mehr als 5.500 Mitarbeiterinnen und Mitarbeitern gehört es als Mitglied der Helmholtz-Gemeinschaft zu den großen interdisziplinären Forschungszentren Europas. Das Supercomputing Centre, als Standort eines der leistungsfähigsten Rechner, übernimmt eine führende Rolle in der europäischen Exascale Strategie. Das Institut für Neurowissenschaften und Medizin (INM) erforscht im Rahmen des Programms “Decoding the Human Brain” die Organisation des menschlichen Gehirns auf seinen verschiedenen räumlichen und zeitlichen Skalen. Die moderne neurowissenschaftliche Grundlagenforschung erfordert Modellierung und Simulation auf Hochleistungsrechnern, um der Komplexität des Gehirns zu begegnen und Einsicht in seine Arbeitsweise zu gewinnen. Das entstehende Wissen ermöglicht dann die Translation in die klinische Anwendung, um neurologische und mentale Erkrankungen besser zu verstehen, zu diagnostizieren und zu therapieren – Aufgaben, die in einer älter werdenden Gesellschaft von höchster Bedeutung sind. Darüber hinaus werden aber auch Impulse für neue Rechnergenerationen und deren Betrieb gegeben. Das INM-6, Computational and Systems Neuroscience, erstellt mathematische Modelle der Dynamik und Funktion neuronaler Schaltkreise. Dazu gehören die modellgetriebene Analyse der Aktivität und Struktur des Gehirns sowie die Simulation biologisch realistischer Modelle. Die Entwicklung entsprechender Simulationstechnologie und Analysewerkzeuge ist eine wesentliche Komponente der Forschung. Das INM-6 entwickelt zusammen mit seinen Partnern in einem Open Source Ansatz den führenden Code für Simulationen auf der Gehirnskala mit der Auflösung von Nervenzellen (NEST), ist gleichzeitig Teil des Institute of Advanced Simulation (IAS-6, Theoretical Neuroscience) und beherbergt die Coordination Site (BCOS) des nationalen Bernstein Network Computational Neuroscience. Verstärken Sie diesen Bereich als Koordinator Software Entwicklung (w/m) Ihre Aufgaben: * Koordination der Roadmap und der Releases der Simulations-Software NEST * regelmäßige Vorbereitung von und Teilnahme an Koordinierungstreffen und Videokonferenzen zusammen mit oder in Vertretung der Institutsleitung * direkte Betreuung von Wissenschaftlerinnen/Wissenschaftlern und Doktorandinnen/Doktoranden in Bezug auf Software-Entwicklung * Erstellen von Projektberichten und Anträgen * Repräsentation der Simulations-Software auf internationalen Tagungen * Beteiligung an der Weiterentwicklung von Programmen zur Analyse neuronaler Vielkanaldaten * Vertretung des Koordinators Wissenschaftliches Rechnen Ihr Profil: * ein abgeschlossenes Hochschulstudium der Informatik, Mathematik oder Physik * tiefe Kenntnisse/Erfahrungen in C und C++, Python sowie parallelem und verteiltem Rechnen * Fähigkeit und Bereitschaft zu eigenverantwortlichem Handeln, Führungsfähigkeit * Fähigkeit und Bereitschaft selbstständig Projektberichte abzufassen * Erfahrung im Projekt- und Qualitätsmanagement * neurowissenschaftliche Grundkenntnisse, insbesondere neuronaler Dynamik sind von Vorteil * sicheres Auftreten und Kommunikationsvermögen sowie ausgeprägte Fähigkeit zur kooperativen Zusammenarbeit in einer interdisziplinären Arbeitsumgebung * hohe soziale Kompetenz und Fähigkeit zur kooperativen Zusammenarbeit im Team * Bereitschaft zu Reisen * strukturierte und systematische Arbeitsweise * überdurchschnittliches mündliches und schriftliches Kommunikationsvermögen in deutscher und englischer Sprache Unser Angebot: * Integration in ein interdisziplinäres und internationales Institut * Arbeit in einem kreativen Team mit internationaler Perspektive * Zugang zu modernsten Supercomputern und neuromorpher Hardware * die Möglichkeit, Design-Entscheidungen in einem großen Software-Projekt wesentlich mitzubestimmen und zu prägen * enge Zusammenarbeit mit dem Jülich Supercomputing Centre (JSC) und seiner Exascale Strategie insbesondere dem Simulation Laboratory Neuroscience * hohe Sichtbarkeit durch Vertretung der Institutsleitung bei internationalen Projekttreffen * Beteiligung an Publikationen in der Spitzenforschung zur Simulationstechnologie * Arbeit auf Weltniveau an der Grenze zwischen Neurowissenschaft und Technologie an den komplexesten bekannten Systemen * ein grüner wachsender Campus mit den besten weltweit verfügbaren wissenschaftlichen Einrichtungen, nahe den kulturellen Zentren Köln, Düsseldorf und Aachen * eine zunächst auf 2 Jahre befristete Stelle mit der Möglichkeit einer längerfristigen Perspektive * Vergütung und Sozialleistungen nach dem Tarifvertrag des öffentlichen Dienstes (TVöD-Bund) Das Forschungszentrum Jülich möchte mehr Mitarbeiterinnen in diesem Bereich beschäftigen. Wir sind daher an der Bewerbung von Frauen besonders interessiert. Bewerbungen schwerbehinderter Menschen sind uns willkommen. Wir freuen uns auf Ihre Bewerbung, möglichst über unser Online-Bewerbungssystemhttp://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-126-DE-INM-6.html?nn=363560 bis zum 07.07.15 unter Angabe der Kennziffer 2015-126. -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoctoral Position in Computational Neuroscience at IUPUI
by Yaroslav Molkov June 17, 2015

June 17, 2015

A postdoctoral/research associate position in computational neuroscience for the duration of up to two years is available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a strong research record, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Molkov ( ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. ================================= Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University at Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Postdoctoral position in computational neuroscience
by Maxim Bazhenov June 16, 2015

June 16, 2015

Applications are invited for post-doctoral research positions in the laboratory of Dr. Maxim Bazhenov at the University of California, Riverside to study role of sleep in memory and learning. This computational neuroscience project involves close collaboration with several experimental laboratories. The ultimate goal of this work is to understand how the interaction among brain areas during different stages of sleep leads to consolidation of memory for recent learning. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on existing experimental data. These models will be used to understand network dynamics that are involved in the processes of memory consolidation, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. 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 at maksim.bazhenov(a)ucr.edu -- Maxim Bazhenov, Ph.D. Professor, Cell Biology and Neuroscience University of California Riverside, CA 92521 Ph: 951-827-4370 http://biocluster.ucr.edu/~mbazhenov/

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PhD in computational neuroscience, Zurich
by Jean-Pascal Pfister June 16, 2015

June 16, 2015

Applications are invited for one PhD student position at the Institute of Neuroinformatics (ETHZ, UZH) in Zurich. The position is funded by the Swiss National Science Foundation grant entitled "Inference and Learning with Spiking Neurons". The PhD student will be supervised by Jean-Pascal Pfister in the Theoretical Neuroscience Group. There are several lines of evidence indicating that the human brain performs near Bayesian optimal inference in a wide range of tasks, but it remains unclear how this inference can be implemented in the brain. The aim of the project is to determine how Bayesian inference and learning can be implemented at the level of neurons and synapses. The Institute of Neuroinformatics in Zurich (which is a joint institute belonging to both the Swiss Federal Institute of Technology (ETHZ) and the University of Zurich) offers an ideal environment for studying Computational Neuroscience due to the presence of multiple theoretical and experimental labs. The candidate should hold a Diplom/Master degree in Physics, Mathematics, Machine learning, Computational Neuroscience or a related field. He/she should have a very strong mathematical background, good programming skills and interests in theoretical neuroscience. The position is offered for a period of three years, starting before the 1st of September 2015. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch) The applicant should submit (by email) a CV, a statement of research interests, 2 reference letters, marks obtained for the Diploma/Master, abstract of the Diploma/Master to Jean-Pascal Pfister (jpfister(a)ini.uzh.ch) Deadline for application is 15th of July 2015 or until the position is filled. Jean-Pascal Pfister --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister <http://www.ini.uzh.ch/~jpfister> Tel: +41 44 635 30 79

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PhD/Postdoc positions for neural processor project NPP
by Michael Pfeiffer June 15, 2015

June 15, 2015

We have a number of available PhD and postdoc positions available now for the Neuromorphic Processor Project (NPP). NPP is a 3 year project that started 1 May 2015. NPP will develop theory, architectures, and FPGA implementations targeting specific applications of deep neural network technology in vision and audition. Deep learning has become the state-of-the-art machine learning approach for sensory processing applications, and this project aims towards real-time, low-power, brain-inspired solutions targeted at full-custom SoC integration. A particular aim of the NPP is to develop efficient data-driven deep neural network architectures that can enable always-on operation on battery-powered mobile devices in conjunction with event-driven sensors. PhD and postdoc positions are available now in theory, hardware architectures, and applications of these networks. For the theory part of the project we are specifically looking for PhD candidates with experience in deep neural networks and/or spiking neural networks, or deep learning applications in vision and audition. The project team includes academic partners in the USA, Canada, and Spain. The project is coordinated by the Institute of Neuroinformatics (INI) at the University of Zurich and ETH Zurich (www.ini.uzh.ch ). INI is a joint institute of the University of Zurich and ETH Zurich and has been cited in IEEE Spectrum and Scientific American as one of the world’s leading organizations in the development of neuromorphic sensing and computing technology. The lead NPP PI is Prof. Tobi Delbruck. Other NPP PIs at INI are Dr. Shih-Chii Liu, Dr. Michael Pfeiffer, and Prof. Giacomo Indiveri. Please see https://docs.google.com/document/d/1MLoZRAYu_--ZH2ORIoqLPLzJs2spXRM0kO2A2QZ… for more details and information on how to apply. Best regards, Michael Pfeiffer, Tobi Delbruck, Shih-Chii Liu, and Giacomo Indiveri -- ========================================= Dr. Michael Pfeiffer Group leader, Program coordinator NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

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4th Edition of Complex Systems Primer available
by Claudius Gros June 15, 2015

June 15, 2015

Dear Colleagues, It is a pleasure to announce the availability of the 4th edition of the textbook Complex and Adaptive Dynamical Systems: A Primer (Springer Complexity, Softcover) ISBN: 978-3-319-16264-5 (Print) 978-3-319-16265-2 (Online) by Claudius Gros Complex and adaptive dynamical systems are ubiquitous and the brain constitutes a prominent example. The goal of this book is to provide a general entry point to complex and dynamical systems based on network architectures. ------------------------------------------------------- cover-text: ---------- This primer offers an introduction to the central concepts at the basis of our modern understanding of complex and emergent behavior, together with a detailed coverage of the mathematical methods. All calculations are presented step by step and are straightforward to follow. This new forth edition is fully reorganized and comes with new chapters, figures and exercises. The core of modern complex system sciences are presented in the first chapters, covering network theory, dynamical systems, bifurcation and catastrophe theory, chaos and adaptive processes together with the principle of self-organization in reaction-diffusion systems and social animals. Modern information theoretical principles are treated in further chapters, together with the concept of self-organized criticality, gene regulation networks, hypercycles and coevolutionary avalanches, synchronization phenomena, absorbing phase transitions and the cognitive system approach to the brain. Technical course prerequisites are the standard mathematical tools for an advanced undergraduate course in the natural sciences or engineering. Each chapter comes with exercises and suggestions for further reading, with the solutions to the exercises being provided in the last chapter. ------------------------------------------------------- content: -------- * Chapter 1: Graph Theory and Small-World Networks * Chapter 2: Bifurcations and Chaos in Dynamical Systems * Chapter 3: Dissipation, Noise and Adaptive Systems * Chapter 4: Self Organization and Pattern Formation * Chapter 5: Complexity and Information Theory * Chapter 6: Cellular Automata and Self-Organized Criticality * Chapter 7: Random Boolean Networks * Chapter 8: Darwinian Evolution, Hypercycles and Game Theory * Chapter 9: Synchronization Phenomena * Chapter 10: Elements of Cognitive System Theory * Chapter 11: Solutions to the exercises ------------------------------------------------------- Sincerely, Claudius Gros ***************************************** *** Prof. Dr. Claudius Gros *** *** +49 (0)69 798 47818 *** *** http://itp.uni-frankfurt.de/~gros *** ***************************************** ----------------------------------------------------------- --- Complex and Adaptive Dynamical Systems, A Primer --- --- A graduate-level textbook, Springer (2008/10/13/15) --- -----------------------------------------------------------

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Interdisciplinary PhD Position in Computational Neuroscience of Vision: Active Efficient Coding (AEC)
by Jochen Triesch June 14, 2015

June 14, 2015

Apologies for cross posting. Please forward to interested students. We have an open PhD student position in my lab (http://fias.uni-frankfurt.de/de/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt, Germany to explore the new area of active efficient coding (AEC), a recently formulated generalization of the efficient coding hypothesis to active perception. The basic idea of AEC is that sensory systems learn to use their motor degrees of freedom to contribute to the efficient encoding of sensory signals. Along these lines, we have developed computational models for the self-calibration of active stereo and motion vision [1,2,3]. These models simultaneously learn a sensory representation with sparse coding approaches and controllers for their eye movements through reinforcement learning. Both learning components aim to maximize the overall coding efficiency of the system, which leads to fully self-calibrating sensory-motor loops for active stereo vision (dispartiy tuning and vergence control) and motion vision (motion tuning and pursuit movements). To the best of our knowledge, these models are the first ever to demonstrate how such self-calibration can emerge from a generic efficient coding objective. We have also validated the approach on robots such as the iCub (http://www.icub.org) The work will be performed in a stimulating interdisciplinary environment with ample opportunities for collaboration with neuromorphic engineers, neuroscientists, roboticists, psychologists, and clinicians across the globe. Possible research directions include better understanding how and why such self-calibration can go awry in clinical conditions such as strabism and amblyopia, implementations on neuromorphic hardware and many others. We are seeking an outstanding and highly motivated PhD student for this project. Applicants should have obtained a Masters degree (or equivalent) in Computational Neuroscience or a related field. The ideal candidate will have excellent programming skills (Matlab, Python, C/C++), very good analytic skills, and a broad knowledge of computational neuroscience, machine learning, computer vision, robotics, signal processing and statistics. Furthermore, specific expertise in visual neuroscience, information theory, sparse coding models, and reinforcement learning are desirable. Experience with programming Graphics Processing Units (GPUs) would be a plus. The position can be filled immediately. The Frankfurt Institute for Advanced Studies is a research institution dedicated to fundamental theoretical research in various areas of science. It is embedded into Frankfurt's recently established natural science research campus. Frankfurt itself is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns highest rankings in worldwide surveys of quality of living. Applications should include a statement of research interests, CV and contact information for at least two references. Send applications to application(a)fias.uni-frankfurt.de. Review of applications will begin immediately. [1] A Unified Model of the Joint Development of Disparity Selectivity and Vergence Control. Zhao Y, Rothkopf CA, Triesch J, Shi B. IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL), 2012. (Paper of excellence award.) http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6400876 [2] Robust active binocular vision through intrinsically motivated learning L. Lonini, S. Forestier, C. Teulière, Y. Zhao, B. Shi, J. Triesch, frontiers in Neurorobotics, 2013. http://journal.frontiersin.org/article/10.3389/fnbot.2013.00020/full [3] Self-calibrating smooth pursuit through active efficient coding C. Teulière, S. Forestier, L. Lonini, C. Zhang, Y. Zhao, B. Shi, J. Triesch, Robotics and Autonomous Systems, 2014 http://www.sciencedirect.com/science/article/pii/S0921889014002486 -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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CFP: 3rd International Workshop on Smart Sensor Protocols and Algorithms (SSPA 2015) - Munich, Germany, October 5-7, 2015
by Sandra Sendra June 13, 2015

June 13, 2015

[Please accept our apologies if you receive multiple copies of this email] *********************** CFP ******************************* 3rd International Workshop on Smart Sensor Protocols and Algorithms (SSPA 2015) http://jlloret.webs.upv.es/sspa2015/ in conjunction with The 8th IFIP Wireless and Mobile Networking Conference (WMNC' 15) Munich, Germany, October 5-7, 2015. http://www.wmnc2015.com/ SCOPE: Smart Sensor protocols and algorithms make use of several methods and techniques (such as machine learning techniques, decision making techniques, knowledge representation, network optimization, problem solution techniques, and so on), to establish communication between network devices. They can be used to perceive the network conditions, or the user behavior, in order to dynamically plan, adapt, decide, take the appropriate actions, and learn from the consequences of their actions. The algorithms can make use of the information gathered from the protocol in order to sense the environment, plan actions according to the input, take consciousness of what is happening in the environment, and take the appropriate decisions using a reasoning engine. Goals such as decide which scenario fits best its end-to-end purpose, or environment prediction, can be achieved with smart protocols and algorithms. Moreover, they could learn from the past and use this knowledge to improve future de! cisions. In this workshop, researchers are encouraged to submit papers focused on the design, development, analysis or optimization of smart sensor protocols or algorithms at any communication layer. Algorithms and protocols based on artificial intelligence techniques for network management, network monitoring, quality of service enhancement, performance optimization and network secure are included in the workshop. This conference edition once again targets to gather researchers from academia and industrial sectors to present analytical research, simulations, practical results, position papers addressing the pros and cons of specific proposals, and advances in sensor protocols and algorithms. The topics suggested by the conference can be discussed in term of concepts, state of the art, standards, deployments, implementations, running experiments and applications. TOPICS OF INTEREST: Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, including, but are not limited to, the following topic areas: - Reasoning and learning techniques for sensing environment pollution - Smart route prediction in vehicular sensor networks - Smart data aggregation in vehicular sensor networks - Smart multimedia network protocols and algorithms for WSNs - Application layer, transport layer and network layer cognitive protocols - Cognitive radio network protocols and algorithms - Automatic protocols and algorithms for environment prediction - Algorithms and protocols to predict data network states - Intelligent synchronization techniques for sensor network protocols and algorithms - Smart sensor protocols and algorithms for e-health - Software applications for smart algorithms design and development in WSNs - Dynamic protocols based on the perception of their performance - Smart protocols and algorithms for Smartgrids - Protocols and algorithms focused on building conclusions for taking the appropriate actions - Smart Automatic and self-autonomous WSNs - Artificial intelligence applied in protocols and algorithms for WSNs - Smart security protocols and algorithms in WSNs - Smart cryptographic algorithms for communication in WSNs - Artificial intelligence applied to power efficiency and energy saving protocols and algorithms - Smart routing and switching protocols and algorithms in WSNs - Cognitive protocol and algorithm models for saving communication costs - Any kind of intelligent technique applied to QoS, content delivery, network Monitoring and network mobility management - Smart cooperative protocols and algorithms WSNs - Problem recognition and problem solving protocols for WSNs - Genetic algorithms, fuzzy logic and neural networks applied to WSNs IMPORTANT DATES: Submission deadline: 17th of July 2015 Author notification: 14th of August 2015 Camera-ready version: 27th of August 2015 Workshop Dates: 5-7th of October 2015 SUBMISSION GUIDELINES: Authors are invited to submit original and unpublished papers. Papers presenting original and unpublished work are invited and will be evaluated based on originality, significance, technical soundness, and clarity of exposition. All submissions should be written in English. Authors guidelines can be found at: http://jlloret.webs.upv.es/sspa2015/cfp.html The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at: http://www.ieee.org/portal/pages/pubs/transactions/stylesheets.html. Only PDF files will be accepted for the review process and all submissions must be done through EDAS. To submit a paper, please click on the following link: https://edas.info/newPaper.php?c=19893&track=71089 SPECIAL ISSUES: The extended version of selected papers will be invited to submit to a Special Issue on Smart Protocols and Algorithms in the International Journal Network Protocols and Algorithms (1943-3581). Network Protocols and Algorithms is an online international journal, peer-reviewed, indexed by many prestigious data bases and published by Macrothink Institute. COMMITTEES: General Chairs Jaime Lloret Mauri, Universitat Polit�cnica Val�ncia, Spain TPC Chairs Miguel Garcia Pineda, Universidad de Valencia, Spain Sandra Sendra, Unviversitat Politecnica de Valencia, Spain Web Chair Alejandro C�novas Solbes, Universitat Polit�cnica Val�ncia, Spain

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Tentative program now available for IWSP7: Epilepsy Mechanisms, Models, Prediction & Control
by Levin Kuhlmann June 13, 2015

June 13, 2015

The tentative full program of talks and events for the 7th International Workshop on Seizure Prediction (IWSP7: Epilepsy Mechanisms, Models, Prediction & Control; at Melbourne, Australia; 3-6 August 2015) is now available for download at the following link: http://www.iwsp7.org/program/IWSP7_MEMBC15_Tentative_Program.pdf At a glance, the first day on Monday August 3 will be an educational day, giving people an opportunity to learn more about epilepsy from the perspectives of the different disciplines of science, engineering & medicine. On the first night there will be a networking reception and the poster session. The next two days will involve a full schedule of talks with the conference dinner on the night of Tuesday August 4. On Thursday August 6 there will be an overlap day between IWSP7 and the Melbourne Epilepsy meeting (ME@MBC'15 - which brings together the best of Melbourne Epilepsy research). IWSP7 registrants will also have the option to freely participate in the ME@MBC'15 events including its second day on the morning of Friday August 7. A final full program for IWSP7 including abstracts will be available soon. Don't forget to register for IWSP7 before the early bird deadline of 30th June 2015 and save! Go to www.iwsp7.org<http://www.iwsp7.org> to register. More details on the conference are provided below. The 7th International Workshop on Seizure Prediction (IWSP7: Epilepsy Mechanisms, Models, Prediction & Control) will bring together world leading epileptologists, engineers, physicists, mathematicians, neurosurgeons and neuroscientists to focus on epilepsy research in Melbourne Australia from 3-6 August 2015. Invited Speakers Catalina Alvarado-Rojas, Pontificia Universidad Javeriana, Colombia (Cross-frequency coupling and seizure prediction) Samuel Berkovic, University of Melbourne, Australia (Genetics and individual-specific nature of epilepsy) Sydney Cash, Massachusetts General Hospital, Harvard Medical School, USA (Cortical physiology and epilepsy) Antonio Dourado, University of Coimbra, Portugal (Seizure Prediction and the EPILEPSIAE project) Bin He, University of Minnesota, USA (EEG-based imaging to localise seizure and high frequency activity) Louis Lemieux, University College London, UK (Multi-modal imaging of human epileptic zone and networks) Liset Menendez de la Prida, Instituto Cajal - CSIC, Spain (Sources of functional heterogeneity in the cellular activity of hippocampal microcircuits in temporal lobe epilepsy) Martha Morrell, Stanford University, Neuropace, USA (Responsive seizure control and its clinical implications) Philippe Ryvlin, Lyon University, France (Vagal nerve stimulation and seizure prediction) Bjoern Schelter, University of Aberdeen, UK (Recent advances in data-based modelling and their role in epilepsy research) Steven Schiff, Penn State University, USA (Unification of spikes, seizures and spreading depression) Piotr Suffczynski, University of Warsaw, Poland (Modelling of neuronal and ionic dynamics during ictogenesis) John Terry, University of Exeter, UK (Modelling multiscale brain networks: seizure initiation, evolution and prediction) Gregory Worrell, Mayo Clinic, USA (Forecasting epileptic seizures in dogs) Abstract submission is now Closed. Early bird registration: full: AU$465; Student/Early Career Researcher: AU$165. Early bird registration deadline: 30th June 2015. Standard registration: full: AU$565; Student/Early Career Researcher: AU$265. 44 generous travel stipends have been awarded to participants submitting the best abstracts as determined by the IWSP7 Scientific Advisory Board. General topics covered: seizure prediction, detection and control; seizure mechanisms, animal models and human neurophysiology; neuroimaging of epilepsy/seizure localisation; computational modelling of epilepsy; epilepsy networks; high frequency oscillations; model-based estimation, statistical signal processing or control theory applied to epilepsy. For information on the tentative conference program, and how to register visit: http://www.iwsp7.org Please forward this notice to anyone that you think might be interested. We would also like to draw your attention to two partner events: Melbourne Epilepsy which brings together Melbourne's best epilepsy researchers and will overlap at the same venue with IWSP7 on August 6th, and finish by 1pm on August 7th. Attendance is free for IWSP7 registrants. Swinburne Brain Imaging Symposium 2015: Principles and Applications of Magnetoencephalography is a meeting on MEG and neuroimaging occurring in Melbourne in the week preceding IWSP7 from June 29-30 2015. http://www.research.swinburne.edu.au/our-research/events/neuroimaging-sympo… We look forward to seeing you at IWSP7! On behalf of the local organizing committee Levin Kuhlmann, PhD David B. Grayden, PhD Mark J. Cook, MD Anthony N. Burkitt, PhD Dean R. Freestone, PhD Tatiana Kameneva, PhD Alan Lai, PhD Elma O'Sullivan-Greene, PhD Andre Peterson, BSc (hons) Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

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Nonlinear Dynamics in Computational Neuroscience, Turin 7-9 sept 2015 (few places left)
by Alessandro Torcini June 12, 2015

June 12, 2015

Few places left for registration at SICC workshop on Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT to be held on September 07-09, 2015 in Turin, Italy Organizers: Fernando Corinto (Politecnico di Torino, Turin, Italy) and Alessandro Torcini (ISC-CNR, Florence, Italy) This workshop "Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT” offers an unique opportunity to meet researchers working across (and between) disciplines linked to Computational Neuroscience. In particular, computational neuroscients, neurophysiologists and neural engineers will have the opportunity to present their most recent results to a young audience, constituted mainly by PhD students, and to interact directly among them. The program ranges from nonlinear dynamical approaches to the understanding of neural computation to physiology, from the simulations of brain circuits to the development of engineering devices and platforms for neuromorphic computation. The speakers will be specifically advised to perform didactic presentations of their results in order to allow the active participation to the discussion of young PhD students from different disciplines as well as to researchers interested in the field of Computational Neuroscience. Specific poster sessions will be organized with the purpose on one side to allow the young participants to present their latest results and on the other side to increase the opportunity of networking among the participants and renowed experts of the discipline. This workshop represents the 10th of a series of tutorial workshops annually organized by the Italian Society of Chaos and Complexity (SICC) to explore the emergence of new research fields, where nonlinear dynamics and control theory can play a relevant role. These workshops have been traditionally devoted to an audience mainly constituted by PhD students or young researchers working in complex systems. A poster session will be running during all the event and aimed to let all the participants to present their recent results. More information on the workshop can be found in the web page: http://www.neuro-eng-comp.polito.it/workshop/ Confirmed invited speakers include Cristina Becchio (University of Turin, Italy) Ruben Moreno Bote (CIBERSAM - Barcelona, Spain) George Bourianov (Intel/University of Texas at Austin, USA) Emilio Carbone (University of Turin, Italy) Stephen Coombes (University of Nottingham, UK) Steve Furber (The University of Manchester, UK) Julius Georgiou (University of Cyprus, Cyprus) Viktor Jirsa (INSERM - Marseille, France) Luke P. Lee (UC Berkeley, USA) Stefano Luccioli (ISC CNR - Florence, Italy) Maurizio Mattia (ISS - Roma, Italy) Benedetto Sacchetti (University of Turin, Italy) Maria Sanchez-Vives (IDIBAPS - Barcelona, Spain) Ronald Tetzlaff (TU Dresden, Germany) The poster can be downloaded from here http://goo.gl/CDY0Eg The workshop is kindly supported by the: SICC - Italian Society for Chaos and Complexity, IEEE CASS Outreach 2015 Initiative, CRT Foundation, Marie Curie Initial Training project NETT - Neural Engineering Transformative Technologies, Ministry of Foreign Affairs (Italy)

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