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Summerschool on Neurocomputational Models of Speech Processing in Aachen, Germany
by Kröger, Bernd Joachim July 24, 2015

July 24, 2015

Dear comp-neuro Please forward: Summerschool: Neurocomputational Models of Speech Processing 14th to 18th of September 2015 Topic: Constructing a Neurocomputational Model of Speech Processing Date: Starting 14th of September for one week Location: RWTH Aachen University, Aachen, Germany Costs: Accomodation at RWTH Aachen University Guest House: round about 80€ (Single or Double) per day. Food: round about 30€ per day. Workshop is free. Accomodation and food will be arranged by Bernd Kröger www.SpeechTrainer.eu. Please contact bkroeger(a)ukaachen.de Next airport to Aachen, Germany: Duesseldorf International Airport, Germany Planned scedule: 1st day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to Neurocomputational Models of Speech Production including learning szenarios occurring in speech acquisition. Afternoon 2-5pm: Discussion and computer exercises in NENGO www.nengo.ca or other neural processing toolboxes 2nd day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to Neurocomputational Models of Speech Perception and Comprehension Afternoon 2-5pm: Discussion and Computer exercises in NENGO www.nengo.ca and other Neural Processing Toolboxes 3rd day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to a physiological and acoustic model of speech production (www.VocalTractLab.de) Afternoon 2-5pm: How to integrate VocalTractLab into an Neurocomputational Model of Speech Processing 4th and 5th day: 9am-5pm: Programming exercises and introduction to available speech data bases) Summerschool takes place with more than 5 üarticipants -- Prof. Dr. Bernd J. Kröger Department of Phoniatrics, Pedaudiology, and Communication Disorders Medical School, RWTH Aachen University, Pauwelsstraße 30, D-52074 Aachen, Germany Email: bernd.kroeger(a)rwth-aachen.de Homepage: www.speechtrainer.eu

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Postdoc and graduate student positions in computational neuroscience and machine learning
by Jakob Macke July 24, 2015

July 24, 2015

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[Last CFP] Extended paper submission deadline to August 16 2015
by Teng Teck Hou July 24, 2015

July 24, 2015

(We apologize for multiples copies) - Please distribute this CFP among your colleagues and students IEEE Conference on Evolving and Adaptive Intelligence Systems - EAIS 2015 Douai, France, December 13, 2015 http://conference.mines-douai.fr/eais2015/ The paper submission deadline is extended to August 16, 2015 (Hard deadline, no more extension) * IMPORTANT DATES * ---------------------------------------------------------------- Paper Submission Due: Extended to August 16, 2015 (Hard deadline, no more extension) Notification of Acceptance: October 1st, 2015 Camera-Ready Papers Due: November 1st, 2015 Registration Deadline: November 1st, 2015 All accepted papers will be published in the conference Proceedings and submitted to IEEE for inclusion to IEEE Xplore. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the journal Evolving Systems (Springer). It is our pleasure to announce the two keynotes "Real Time Data Mining" and "Active online learning". The social program includes a visit to the prestigious museum of Le Louvre-Lens. A tour will be organized in "La Grande Galerie" exhibition space where you could discover some of the greatest masterpieces and the greatest artists of the Louvre museum. In addition, you will have the opportunity to enjoy the hospitality and cultural heritage of Douai (City town belfry historical building designated by UNESCO as World Heritage Site, the Chartreuse museum, the Northern French Cuisine ). * CONTEXT * ---------------------------------------------------------------------------- IEEE EAIS 2015 will be held in Douai, a beautiful city located in the north of France close to Brussels and Paris. IEEE EAIS 2015 will provide a friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations, and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in todays real-world applications, especially those ones with high complexity and dynamics change. Its embedded modeling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios, and drifts in on-line data streams. EAIS 2015 is an IEEE sponsored conference which is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. EAIS conference series has a history starting in 2006 in Lake District, England. It was held after that in Germany, USA, France, Spain, Singapore and Austria. Authors of accepted papers will be invited to submit extended versions for a possible inclusion in a special issue of the journal Evolving Systems (Springer). * AREAS OF INTEREST * ---------------------------------------------------------------------------- -- Areas of interest include, but are not limited to: Basic Methodologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks On-line Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Pattern Recognition Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Advanced Concepts Drifts and Shifts in Data Streams Stability, Robustness, Convergence in Evolving Systems On-line Feature Selection and Dimension Reduction On-line Active and Semi-supervised Learning On-line Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods On-line Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications EIS for On-Line Modeling and System Identification EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in On-line Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks * SUBMISSION REQUIREMENTS * --------------------------------------------------- Full papers - max. 8 pages IEEE style (double-column). Short Papers - max. 4 pages IEEE style (double-column). * INTERNATIONAL PROGRAMME COMMITTEE * ------------------------------------------------------------------ Plamen Angelov, Lancaster University, UK Dimitar Filev, Ford Motor Co., USA Nikola Kasabov, AUT, New Zealand * ORGANIZING PROGRAMME COMMITTEE * ------------------------------------------------------------ Chair: Moamar Sayed-Mouchaweh, Mines Douai, Institut Mines-Télécom, France Co-chair: Stéphane Lecoeuche, Mines Douai, Institut Mines-Télécom, France Publication Chairs: José A. Iglesias, Universidad Carlos III de Madrid, Spain Edwin Lughofer, Johannes Kepler University of Linz, Austria Local Arrangement Chair: Anthony Fleury, Mines Douai, Institut Mines-Télécom, France Muriel Morgan, Mines Douai, Institut Mines-Télécom, France Web & Publicity Chairs: Teck-Hou Teng, School of Computer Engineering, Nanyang Technological University, Singapore Mihaly Petreczky, Mines Douai, Institut Mines-Télécom, France Vincent Lecocq, Mines Douai, Institut Mines-Télécom, France Houari * SPONSORED BY * ------------------------------------------------------------------------- IEEE Systems, Man & Cybernetics Society. * ORGANIZED BY * ------------------------------------------------------------------------- IEEE Systems, Man & Cybernetics Society Technical Committee on Evolving Intelligent Systems Ecole des Mines de Douai, Département Informatique et Automatique, France ---------------------------------------------------------------------------- ------------------

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CARLsim 3.0.2 released
by Michael Beyeler July 23, 2015

July 23, 2015

Dear colleagues, Many of you may be interested in our latest software release of the CARLsim simulator. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. Software and documentation can be found at: http://www.socsci.uci.edu/~jkrichma/CARLsim This release is in conjunction with our latest publications, which highlight CARLsim’s latest features. * Beyeler, M., Carlson, K.D., Chou, T.S., Krichmar, J.L., Dutt, N., (2015) CARLsim 3: A User-Friendly and Highly Optimized Library for the Creation of Neurobiologically Detailed Spiking Neural Networks. Paper presented at: International Joint Conference on Neural Networks (Killarney, Ireland). * Beyeler, M., Richert, M., Dutt, N.D., and Krichmar, J.L. (2014). Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics. * Carlson, K.D., Nageswaran, J.M., Dutt, N., and Krichmar, J.L. (2014). An efficient automated parameter tuning framework for spiking neural networks. Frontiers in Neuroscience 8. * Carlson, K.D., Richert, M., Dutt, N., and Krichmar, J.L. (2013). Biologically Plausible Models of Homeostasis and STDP: Stability and Learning in Spiking Neural Networks. Paper presented at: International Joint Conference on Neural Networks (Dallas, TX). If you have recently used CARLsim in one of your scientific publications, let us know so that we can add your paper to the list. CARLsim 3.0.2 Release Highlights --------------------------------------------- * improved platform compatibility (Linux, Mac OS X, and Windows) * real-time and offline data analysis tools * an automated parameter tuning interface that utilizes evolutionary algorithms to construct functional SNNs * an expanded STDP implementation, which includes dopaminergic neuromodulation * an exhaustive User Guide and Tutorials * much improved code base, which includes a test suite for functional code verification Best regards from the CARLsim team, Michael Beyeler Kristofor Carlson Ting-Shuo Chou Nikil Dutt Jeff Krichmar -- Michael Beyeler Ph.D. Candidate Cognitive Anteater Robotics Lab (CARL) 2236 Cognitive & Behavioral Science Gateway University of California, Irvine Irvine, CA 92697-5100, USA http://sites.uci.edu/mbeyeler

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PhD position announcement in computational neuroscience
by Mike X Cohen July 22, 2015

July 22, 2015

Mike X Cohen and Paul Tiesinga are searching for a PhD Candidate to work on a project entitled “Midfrontal Cortex Theta Oscillations: Causes and Consequences”. This project is funded by the European Research Council and is hosted by the Donders Centre for Neuroscience. Theta-band oscillations (~6 Hz) in the medial prefrontal cortex are a signature of several important cognitive functions, including behaviour monitoring, action adjustments and feedback-driven learning. Although this consistent finding has emerged in several species including humans, monkeys, and rats, little is known about the microcircuits in the medial prefrontal cortex that generate theta oscillations and the role of those oscillations in the neural computations underlying cognitive control functions. In this project, we aim to gain more insight into these processes by employing biophysically-informed computational models to simulate the genesis and significance of midfrontal theta for coordinating local and long-range network dynamics. Empirical experiments in humans and rodents may be incorporated into the research in order to test/refine the models. Please see http://www.ru.nl/overons/werken-radboud/details/details_vacature_0/?recid=5… for additional details. -- Mike X Cohen, PhD mikexcohen.com

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Bernstein Conference: Early registration ends on July 24, 2015
by Seeger, Simone July 22, 2015

July 22, 2015

BERNSTEIN CONFERENCE 2015 in Heidelberg Early registration ends on July 24, 2015! Please register here<https://mi3.lambdalogic.de/forms/Bernstein2015.do>. *************************************************************************** Satellite Workshops<http://www.nncn.de/en/bernstein-conference/2015/satellite-workshops> September 14, 2015 Main Conference<http://www.nncn.de/en/bernstein-conference/2015/program> September 15-17, 2015 *************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Center Heidelberg-Mannheim and will take place in Heidelberg on September 15-17, 2015. In addition, there will be a series of pre-conference satellite workshops on September 14, 2015. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of satellite workshops on September 14, 2015. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de<https://mail.zi-mannheim.de/OWA/redir.aspx?C=mYOXLQcyKEWWGs2ITdwALYoLj0aoVt…> CONFERENCE DATE AND VENUE: Satellite Workshops September 14, 2015 Main Conference September 15-17, 2015 Venue: Neue Universität, Grabengasse 3-5, 69117 Heidelberg, Germany PHD STUDENT EVENT: September 17-18, 2015 ORGANIZING COMMITTEE: Peter Bastian Andreas Draguhn Daniel Durstewitz Martin Gerchen Joachim Hass Elke Jochum Peter Kirsch Andreas Meyer-Lindenberg Christoph Schuster Simone Seeger We look forward to seeing you in Heidelberg in September! *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/>

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CFP: ICDM Workshop HealthMining 2015 and HISS Special Issue (Deadline extended: Aug 3, 2015)
by william July 21, 2015

July 21, 2015

[Please accept our apologies if you receive multiple copies of this email] CALL FOR PAPERS (Submission Deadline Extended: >>>Aug 3<<<, 2015) HEALTHMINING 2015 - The ICDM Workshop on Data Mining and Decision Analytics on Public Health and Wellness (URL: http://www.comp.hkbu.edu.hk/~healthmining2015/) In conjunction with the IEEE International Conference on Data Mining (ICDM 2015) >>> SPECIAL ISSUE <<< Selected papers of the workshop will be invited for revision to be included in a special issue to be published in Health Information Science and Systems (URL: http://www.hissjournal.com/) AIMS and SCOPE For many years, data mining and decision analytics techniques have already been extensively applied to various domains, such as smart environments, social networks, marketing, and web technology. The focus of this workshop is mainly on the issues and challenges of data mining techniques with the purpose of improving human well-being and quality of life. It is expected that the workshop may increase the diversity of application areas that can benefit from data mining. At the same time, it is also desirable that the discussion and vision of this workshop would also offer further insights into, as well as new tools for, the issues of data collection, processing, system modeling, simulation and optimization arising from various public health topics. The objective of this workshop is to serve as a venue for researchers to discuss how data mining and analytics methods can contribute to improving public health quality in clinical, medical/biomedical, and healthcare systems in smart ways, including evidence-based medicine, personalized treatment and healthcare, assistive technology and active surveillance and control of diseases. In addition to mining statistical regularities, associations, or causalities from large-scale health-related datasets, it would be more desirable to further investigate how the results can effectively and efficiently support decision-making, system modeling, optimization, and simulation in various healthcare systems. TOPICS OF INTEREST - Large-scale data acquisition and management issues for public health - Social and other network-based analysis for public health - Medical big data mining and innovative applications - Mining risk patterns in medical data - Mental and physical health data integration - Biomarker discovery and biomedical data mining - Clinical data mining for practice knowledge building - Data mining from clinical decision-making, and practitioner reflection - Data mining from genetic data of diseases - Data mining for disease profiling and personalized treatment - Data mining for (active) syndromic surveillance - Data mining for infectious/chronic disease epidemiology and control - Data mining for exploring hidden patterns in clinical systems - Data mining for medical/biomedical, and healthcare systems - Data mining for assistive environments - Data modeling and information management forpervasive assistive environments - Data mining and knowledge modeling for wellness - Spatiotemporal data exploration and mining of diseases - Unstructured data mining in medicine and healthcare - Semantic data mining in medicine and healthcare - Scalable data integration in medicine and healthcare - Evidence-based decision-support systems - Healthcare knowledge abstraction, classification, and summarization - Healthcare knowledge computerization, execution, inference, and representation IMPORTANT DATES - Paper Submission Due: >>>Aug 3<<<, 2015 - Paper Notification Date: Sep 1, 2015 - Workshop Date: Nov 13, 2015 ORGANIZING COMMITTEE - William K. Cheung, Hong Kong Baptist University, Hong Kong - Jiming Liu, Hong Kong Baptist University, Hong Kong - Parisa Rashidi, University of Florida, USA - Fei Wang, University of Connecticut, USA Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer

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Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes July 20, 2015

July 20, 2015

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Conditions for Multi-functionality in a Rhythm Generating Network Inspired by Turtle Scratching Snyder AC and Rubin JE http://www.mathematical-neuroscience.com/content/5/1/15 The Minimal k-Core Problem for Modeling k-Assemblies Wood CI and Hicks IV http://www.mathematical-neuroscience.com/content/5/1/14 Stochastic Synchronization in Purkinje Cells with Feedforward Inhibition Could Be Studied with Equivalent Phase-Response Curves Verduzco-Flores S http://www.mathematical-neuroscience.com/content/5/1/13 Orientation Maps in V1 and Non-Euclidean Geometry Afgoustidis A http://www.mathematical-neuroscience.com/content/5/1/12 On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1 Veltz R, Chossat P and Faugeras O http://www.mathematical-neuroscience.com/content/5/1/11 and see also the recent Special Issue on Stochastic Network Models in Neuroscience http://www.mathematical-neuroscience.com/series/SNMN<http://www.mathematical-neuroscience.com/series/UB> All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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WORKHOP Nonlinear Dynamics in Computational Neuroscience, Turin 7-9 sept 2015
by Alessandro Torcini July 19, 2015

July 19, 2015

Deadline 30th August: 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) 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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Postdoctoral Position in Computational Neuroscience at IUPUI
by Yaroslav Molkov July 16, 2015

July 16, 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. I will be available to answer questions and discuss this job opportunity with potential candidates at the CNS’2015 meeting in Prague, Czech Republic (July 18-23). Please email me to arrange a meeting. ================================= 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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