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[IJCNN 2017] Submission deadline is extended to Thursday, 1st December 2359 hr (UTC-8 hr)
by Teng Teck Hou Nov. 16, 2016

Nov. 16, 2016

[Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission December 1, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Björn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################

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PhD student openings in auditory neuroscience at Purdue University
by Bharadwaj, Hari M Nov. 15, 2016

Nov. 15, 2016

[Apologies for cross posting] Two PhD student positions are available at the Systems Neuroscience of Auditory Perception<https://engineering.purdue.edu/SNAPLab> Lab at Purdue University. We study the neural mechanisms of auditory perception in complex multi-source environments (e.g., crowded restaurants or busy streets) using a combination of human neuroimaging techniques (EEG, MRI, otoacoustic emissions), behavioral listening experiments, and computational modeling. In addition we are interested in the effects of overexposure to loud sounds and early aging on the auditory system, and how that affects perception. A notable capability of the lab is the ability to non-invasively measure, and to model physiological responses at different levels of the auditory pathway from the cochlea to the cortex. Please visit https://engineering.purdue.edu/SNAPLab for more information about the lab, the facilities, and the vibrant intellectual environment at Purdue with a large community of hearing researchers<https://www.purdue.edu/hhs/slhs/events/seminars_in_hearing_research.html> and neuroscientists<https://www.purdue.edu/discoverypark/pillars/integrative-neuroscience-cente…>. Applications can be submitted through the Weldon School of Biomedical Engineering<https://engineering.purdue.edu/BME/Academics/Graduate/Admissions>, or the Department of Speech, Language, and Hearing Sciences<http://www.purdue.edu/hhs/slhs/graduate/index.html> as described here<https://engineering.purdue.edu/SNAPLab/research/prospective.html>. Informal enquiries about the positions can be directed to Hari Bharadwaj (hbharadwaj(a)purdue.edu) Preference will be given to applications received by December 15, 2016. -- Hari M. Bharadwaj, Ph.D. Assistant Professor of Speech, Language, and Hearing Sciences Assistant Professor of Biomedical Engineering Lyles-Porter Hall Purdue University 715 Clinic Drive, Room 3162 West Lafayette, IN 47907 (765) 496-2249 hbharadwaj(a)purdue.edu<mailto:hbharadwaj@purdue.edu> http://engineering.purdue.edu/SNAPLab<https://engineering.purdue.edu/SNAPLab>

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3-year PostDoc position in Aberdeen
by Andersen, Soren Nov. 15, 2016

Nov. 15, 2016

Hello, a 3-year PostDoc position in my lab in Aberdeen in Scotland is currently open. It is in a BBSRC funded project to do quantitative modelling of EEG and behavioural data, combining steady-state visual evoked potentials (SSVEPs) and drift diffusion modelling. Candidates should have very solid technical skills (esp. Matlab) and ideally know something about attention and EEG. The position is still open until the 20th of November and applications must be submitted through the University's online application portal. For further information see: https://www.abdnjobs.co.uk/vacancy/research-fellow-281767.html Please do not hesitate to contact me if you have any questions regarding this position. Best regards, Søren Andersen ------------------------------ Søren K. Andersen, Ph.D. School of Psychology William Guild Building Room T5 Kings College Old Aberdeen AB24 3FX, UK Phone: +44 (0)1224 274240 Email: skandersen(a)abdn.ac.uk http://www.abdn.ac.uk/staffpages/skandersen The University of Aberdeen is a charity registered in Scotland, No SC013683. Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683.

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2017 Neural Inspired Computational Elements Workshop - San Jose CA 3/6/17-3/8/17
by Aimone, James Bradley Nov. 14, 2016

Nov. 14, 2016

Dear Colleagues, The registration and abstract submissions are open for NICE 2017, which is going to be held at IBM Almaden Research Center, March 6-8, 2017. https://www.src.org/calendar/e006125/ With ever increasing interest and activity in AI and next generation computing systems, this event is again bringing together a unique and very strong cross section of experts across neuroscience, theory, algorithms, hardware and applications. We expect to have a larger number of attendees this year. Registration slots are limited due to venue logistics - we encourage you to register early to reserve your spot. Looking forward to seeing you in Almaden in March. Murat Murat Okandan, Ph.D. NICE Workshop Foundation mokandan(a)niceworkshop.org<mailto:mokandan@niceworkshop.org> http://niceworkshop.org -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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[EAIS 2017] Call for Papers
by Teng Teck Hou Nov. 14, 2016

Nov. 14, 2016

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) May 31- June 2, 2017, Ljubljana, Slovenia http://msc.fe.uni-lj.si/eais2017/ ################################################## The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at the crossroads of different cultures, geographical regions, and historical developments. Compared to other capitals, Ljubljana is very small, very green, and very walking-friendly town, which makes it a great place to explore on foot. It is in the center of Slovenia and enables exploring some of the most popular tourist sights of Slovenia in one day. Visit enchanting Bled, with its medieval castle perched upon the lake, explore mysterious Predjama castle and end the trip by visiting Postojna cave, Slovenia's number 1 attraction. EAIS 2017 will provide a working and 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 today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling 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 online data streams. EAIS 2017 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. The conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and Natal (Brasil). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). During EAIS 2017 the results of the new IEEE SMC Society sponsored competition on Autonomous Learning Machines (ALMA) will be announced. ##############################Important Dates############################## * Paper Submission December 24, 2016 * Paper Decision Notification February 24, 2017 * Camera-Ready Submission March 24, 2017 * Authors registration March 24, 2017 * Conference May 31 - June 2, 2017 ########################################################################### ##########################Keynote Speakers########################## * Plamen Angelov, Professor, Lancaster University, United Kingdom * Fernando Gomide, Professor, University of Campinas, Brazil * Nikola Kasabov, Professor of Computer Sience, Auckland University of Technology, New Zealand #################################################################### ##########################Accepted Special Sessions########################## 1. Computational Intelligence in Control of Power Generating Systems, Transmission and Load Management, Session proposer: Horst Schulte, HTW Berlin Email: Horst.Schulte(a)HTW-Berlin.de ############################################################################ # ############Paper Submission and Publication############ * Papers for EAIS 2017 should be submitted electronically through the Conference website at http://msc.fe.uni-lj.si/eais2017. * Submitted papers will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. ######################################################## ######################################################## IEEE Autonomous Learning Machines Competition ALMA Competition is organized by IEEE SMC Society. The goal of this competition is to increase the level of autonomy of the learning algorithms. Competition Tracks: 1. New data sets and streams that are suitable demonstrators for the topic of the competition. 2. New methods and algorithms for Autonomous Machine Learning in: . Clustering . Classification . Control . Prediction Awards: Track 1 - $1000 Track 2 - $1000 in each category ($4000). Important Dates: 31 January, 2017. Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia). May 31- June 2, 2017. Results will be announced during the conference EAIS 2017. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online 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, System Identification, and Control 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 Online 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 Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * Honorary Chairs Plamen Angelov, UK Dimitar Filev, USA Nikola Kasabov, New Zealand * Conference Chair Igor Škrjanc, chair, Slovenia Sašo Blažic, co-chair, Slovenia * Publication Chairs Edwin Lughofer, Austria Sašo Blažic, Slovenia * Local Arrangement Chairs Dejan Dovžan, Slovenia Milan Simcic, Slovenia * Web & Publicity Chair José A. Iglesias, Spain Teck-Hou Teng, Singapore * Special Session Chair: Radu-Emil Precup, Romania * Program Committee Chair: Igor Škrjanc, Slovenia * International Program Committe Cesare Alippi, Italy Plamen Angelov, UK Rosangela Ballini, Brazil Rashmi Dutta Baruah, India Abdelhamid Bouchachia, UK Jorge Cassillas, Spain Bruno Costa, Brazil Dejan Dovžan, Slovenia Alain Droniou, France Dimitar Filev, USA Nadine Gaertner, Germany Joao Gama, Portugal Fernando Gomide, Brazil Jose Antonio Iglesias Martínez, Spain Lazaros Iliadis, Greece Nik Kasabov, New Zealand Juš Kocijan, Slovenia Ana Kosareva, Germany Rudolf Kruse, Germany Agapito Ledezma, Spain Daniel Furtado Leite, Brazil Andre Lemos, Brazil Chin Teng Lin, Taiwan Edwin Lughofer, Austria Yannis Manolopoulos, Greece Trevor Martin, UK Moamar Sayed Mouchaweh, France Veronika Nesheva, UK Seiichi Ozawa, Japan Witold Pedrycz, Canada Radu-Emil Precup, Romania Jose de Jesus Rubio, Mexico Araceli Sanchis de Miguel, Spain Horst Schulte, Germany Olga Senyukova, Russia Teck Hou Teng, Singapore Marley Vellasco, Brazil Di Wang, UAE Wilson Wang, Canada Ronald Yager, USA ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Laboratory of Modeling, Simulation and Control, University of Ljubljana * Laboratory of Autonomous Mobile Systems, University of Ljubljana ##########################################################################

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Workshop on Brain dynamics on multiple scales -- 19-23 June 2017, Dresden
by Thomas Wennekers Nov. 14, 2016

Nov. 14, 2016

Call for participation Workshop on Brain dynamics on multiple scales – paradigms, their relations, and integrated approaches MSBDy 2017, 19-23 June, Dresden, Germany WORKSHOP WEBSITE: http://www.pks.mpg.de/msbdy17/ APPLICATION DEADLINE: 28 Feb 2017 ABSTRACT Previous research paradigms in the brain sciences have often focused on one spatial or temporal scale only, for instance defined by the experimental technique of choice or a specific set of cognitive phenomena. This workshop aims at exploring paradigms and concepts such as complexity, information, or dynamical systems that provide bridges, links, relations, or connections between two, three or more "elements of brain science" and link them to recent developments in mathematics, physics, and neurobiological experimental techniques. Workshop sessions 1. The Brain as a complex system complex networks, dynamics and criticality, understanding the interplay between structure, dynamics, and function. 2. Information Processing and Coding : what is the current state in using information-theoretic principles like infomax, complexity measures, evidence, or surprise as tools to understand the brain? 3. Brain Oscillations, Waves and Synchronisation : what are their functional roles? 4. Multiple scales and levels: what are proper "building blocks" of the brain or a brain theory? 5. Large scale cognitive brain systems: what are the best approaches to an understanding of high level cognitive and brain functions including consciousness? DETAILS The workshop takes place on the premises of the Max Planck Institute for the Physics of Complex systems in Dresden. Thanks to a generous grant by the MPIPKS participation in the event is free, with the exception of a modest fee of Euro 120 for social dinners, excursions and coffee breaks. The grant otherwise covers food and subsistence in the guest house of the MPIPKS for accepted participants. Posters can be hung for the duration of the meeting. To apply, please follow: http://www.pks.mpg.de/msbdy17/ IMPORTANT DATES: - Application Deadline: 28 Feb 2017 - Notification of acceptance: 31 Mar 2017 - Workshop Date: 19 Jun - 23 Jun 2017 SPEAKERS Nicolas Brunel (Univ Chicago, USA) Bruno Cessac (INRIA, Sophia Antipolis, France) Gustavo Deco (UPF Barcelona, Spain) Stanislas Dehaene (INSERM-CEA, College de France) Alain Destexhe (UNIC, CNRS, France) Markus Diesmann (Jülich Research Centre, Germany) Ole Jensen (Donders Institute, Nijmegen, NL) Mark A Kramer (Boston University, USA) Anders Lansner (Stockholm University and KTH, Sweden) Christoph Michel (Université de Genéve, Switzerland) Juergen Jost (MPI for Mathematics in the Sciences, Leipzig, Germany) Guenther Palm (University of Ulm, Germany) Simon Schulz (Imperial College London, UK) Elad Schneidman (Weizmann Institute of Science, Rehovot, Israel) Marc Timme (MPI für Dynamik und Selbstorganisation, Göttingen, Germany) Giulio Tononi (University of Wisconsin-Madison, USA, to be confirmed) Vlad Vyazovskiy (University of Oxford, UK) ORGANIZERS Peter Achermann (University of Zurich, Switzerland) Eckehard Olbrich (MPI for Mathematics in the Sciences, Leipzig, Germany) Thomas Wennekers (University of Plymouth, UK) ACKNOWLEDGMENT: This workshop is supported by the Max Planck Institute for the Physics of Complex Systems. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Postdoc position in Amsterdam - http://herseninstituut.nl/en/about-us/vacancies/postdoctoral-researcher/
by Ingo Willuhn Nov. 14, 2016

Nov. 14, 2016

A postdoctoral position in the Willuhn/Denys lab at the Netherlands Institute for Neuroscience (NIN) in Amsterdam is available immediately. I am looking for somebody that comes from a computational angle and is analysis-savvy. The candidate should be interested in studying cortico-basal ganglia function (reward learning; behavioral flexibility; compulsivity due to dysfunction) with cutting-edge tools in behaving rats. Our team has a lot to offer and can teach the basic neuroscience-related skills to candidates inexperienced in that area: The pre-clinical group headed by Ingo Willuhn studies both the neurobiology of compulsive behavior and basic behavioral functions contributing to automation of behavior (http://herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/) The team has close ties to clinical researchers studying such behaviors at the Department of Psychiatry of the Academic Medical Center (AMC; chaired by Damiaan Denys), providing optimal conditions for a translational, multidisciplinary approach. Current research in the lab includes rodent models of obsessive-compulsive disorder and drug addiction, but also aims at understanding basic behavioral function of cortico-basal ganglia circuits. Behavioral assays testing cognitive flexibility, emotion, and decision making in mice and rats are combined with simultaneous methods for neurostimulation (DBS, optogenetics, pharmacogenetics), neurochemical measurements (microdialysis, fast-scan cyclic voltammetry), electrophysiological recordings (single units, local field potentials), and fMRI. The latest addition to this tool set is in vivo calcium imaging in freely-moving animals. The primary focus of the successful applicant will be to investigate real-time neurobiological signals in the basal ganglia during operant behavior using in vivo fast-scan cyclic voltammetry and in vivo calcium imaging in freely-behaving transgenic rats. The goal of these studies is to better characterize neuronal mechanisms of cognitive flexibility and habit formation, and eventually compulsive behavior. The ideal candidate has a strong background in the analysis and modeling of complex data and is an expert in using Matlab and/or similar software packages (necessary). Experience in neuroeconomics, calcium imaging, or rodent behavioral testing in neuroscience is a bonus, but not necessary. Candidates should be enthusiastic, have excellent oral and written communication skills in English, and should be motivated to integrate well into a fun, creative, and collaborative team of international scientists that offers opportunities to cooperate with some of the best groups in the field worldwide. The fully funded position is for a period of four years (1 + 3 years), including competitive salary and excellent benefits. Highly motivated candidates are encouraged to contact Ingo Willuhn (i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl>). Your email should contain a CV, brief descriptions of past research experience, future research goals, and contact info for at least two people that could provide letters of reference. The Netherlands Institute for Neuroscience (NIN) is a not-for-profit subsidiary of the prestigious Royal Netherlands Academy of Arts and Sciences (KNAW), located in the South of beautiful Amsterdam, just a short train ride from the inner city. The institute’s operating language is English, as it is for many Amsterdam organizations. The NIN collaborates with the AMC Department of Psychiatry, part of the University of Amsterdam, conducting neurobiological and patient-centered research on compulsivity, anxiety, depression, psychosis, and addiction. The department aims at developing a better understanding of neuropsychopathology and at improving treatment options. Best, Ingo ----- Ingo Willuhn, PhD Group Leader & Associate Professor Team 'Neuromodulation and Behavior' Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW) & Department of Psychiatry, Academic Medical Center (AMC), University of Amsterdam (UvA) Meibergdreef 47 1105BA Amsterdam The Netherlands i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl> tel (31) 20 5665491 www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/<http://www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/> www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Research.htm?p…<http://www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Researc…>

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PhD position in computational neuroscience / neuro-robotics
by Claudius Gros Nov. 14, 2016

Nov. 14, 2016

I would like to bring your attention to our PhD-program in Computational Neurosciences / Neuro-Robotics / Dynamical Systems At the Institute for Theoretical Physics, Goethe University Frankfurt Field(s): complex systems theory, computational neurosciences neural models and networks, dynamical systems Application deadline: January 7, 2017 Supervisor: Prof. Dr. Claudius Gros E-mail: cgr(a)itp.uni-frankfurt.de Address: Institute for Theoretical Physics, Goethe University Frankfurt, Project description: Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University. We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals, attractor metadynamics, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including studies of the autonomous brain dynamics and/or studies of new synaptic plasticity rules, like trace formulations of STDP and the interplay between short term synaptic plasticity and neural dynamics. The work will include analytical investigations and numerical simulations of neural models and neural networks, using the toolset of dynamical systems theory. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointments will start early 2017, for up to three years. Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below. Prof. Dr. C. Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str. 1 60438 Frankfurt am Main Germany cgr(a)itp.uni-frankfurt.de http://itp.uni-frankfurt.de/~gros -------------------------------------- General information on the University of Frankfurt and its employment policy. With its around 46000 students and 4600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy. The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law (Wissenschaftszeitvertragsgesetz) and the Hessian Higher Education Act (Hessisches Hochschulgesetz). The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. ***************************************** *** 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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PhD position, Neurocomputational Linguistics, Uni Bham / Google Research London
by Uta Noppeney Nov. 13, 2016

Nov. 13, 2016

*PhD position in Neurocomputational Linguistics* *University of Birmingham in collaboration with Google Research London* Language comprehension is critical for effective interactions in our social world. In order to understand ‘who does what to whom’ in natural language processing, the brain needs to assign a syntactic structure to every sentence – a process coined ‘syntactic parsing’. This interdisciplinary project will combine expertise from human neuroscience (University of Birmingham) and computational linguistics (Google Research London) to determine the neural mechanisms underlying sentence comprehension in the human brain and advance parsing algorithms in machines. To study natural language processing and the underlying neural mechanisms in humans, we will measure eye movements, behavioural (psychophysics) and electrophysiological responses (EEG/fMRI) in participants reading natural sentences from syntactically annotated corpora. We will employ advanced machine learning algorithms to characterize the computational operations and neural mechanisms underlying syntactic processing in the human brain. Conversely, the insights obtained from human neuroimaging (EEG/fMRI) and eye tracking will provide critical constraints on the parameters and algorithms used in machine. The PhD position is designed to involve a 3 month internship at Google Research London. The Computational Cognitive Neuroimaging Group (Uta Noppeney) in collaboration with Google Research London (Bernd Bohnet, Ryan McDonald) is seeking an enthusiastic PhD candidate with strong analytical and quantitative abilities. Applicants should have a background in computational linguistics, neuroscience, computer science, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage. The Computational Cognitive Neuroimaging Lab is based at the Department of Psychology and the Computational Neuroscience and Cognitive Robotics Centre of the University of Birmingham, UK. The centre provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 5th in the UK research assessment exercise. http://www.birmingham.ac.uk/schools/psychology/research/labs/comp-cog-neuro… http://www.birmingham.ac.uk/research/activity/cncr/index.aspx Applications will be considered until 8th January 2017. The starting date is Sept/Oct 2017. iCASE students must fulfil the MIBTP entry requirements and will join the MIBTP cohort for the taught modules and masterclasses during the first term. They will remain as an integral part of the MIBTP cohort and take part in the core networking activities and transferable skills training. For further information, please contact u.noppeney(a)bham.ac.uk <mailto:u.noppeney@bham.ac.uk>. Check eligibility and apply here: https://www2.warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/ap… <https://www.findaphd.com/common/clickCount.aspx?theid=79324&type=184&DID=14…>

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Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland The lab of Prof. Christoph Michel at the University of Geneva is offering a postdoctoral position financed by the Swiss National Science Foundation for up to three years to work on clinical neuroengineering projects aimed at: 1. Restoring communication and independence of people with tetraplegia and locked-in syndrome. 2. Advance the analysis of scalp and intracranial EEG signals with functional connectivity tools and implement them in brain-computer interfaces. The position will be equally shared between Dr. Tomislav Milekovic and Prof. Christoph Michel. With Dr. Milekovic, the postdoc will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order restore independence of people with locked-in syndrome. With Prof. Michel, the postdoc will use invasive and non-invasive brain recordings to study functional connectivity between brain areas in healthy volunteers and people with a range of neurological disorders. He will use the gained knowledge to improve brain-computer interfaces and closed-loop neurofeedback systems. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (EEG, ECoG, LFP, spikes) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoders The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world. Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to tomislav.milekovic(a)epfl.ch.

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Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland The group of Dr. Milekovic at the University of Geneva is offering a postdoctoral position financed by the Parkinson Schweiz foundation for up to two years to take a lead role on a neuroprosthetics project aimed at alleviating gait deficits of Parkinson's disease. The postdoc will be involved in all stages of the project, including the analysis of intracortical neural signals, development of movement decoding algorithms and the development of a brain-spine interface system aimed to alleviate the Parkinson's disease motor deficits through brain-controlled spinal cord stimulation. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (spikes, LFP, ECoG, EEG) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoding algorithms 6. Experience in implanting intracortical microelectrode arrays in non-human primates 7. Experience in working with non-human primates The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will closely collaborate with the groups of Profs. Gregoire Courtine, Stephanie Lacour and Silvestro Micera of EPFL, and enjoy a strong support of Lausanne University Hospital (CHUV) surgeons, led by Dr. Jocelyne Bloch. Furthermore, he stands to benefit from the unique working environment of the newly founded Campus Biotech in Geneva, which houses the basic and clinical neuroscientists of the University of Geneva, translational researchers of EPFL's Center for Neuroprosthetics, and the regulatory and engineering experts of the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities and is one of the leading technical universities worldwide. In addition, University of Geneva offers highly competitive postdoctoral salaries ranking amongst the highest in the world. Situated in Switzerland on the coast of lake Leman and surrounded by pristine mountains famous for both summer and winter sports, Geneva prides itself as a pleasant and safe living and working environment. Applications including a CV, statement of research interests, and two reference letters should be sent to <mailto:tomislav.milekovic@epfl.ch> tomislav.milekovic(a)epfl.ch.

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Neuroengineering postdoctoral fellowships at the University of Washington
by Alison S. Mehravari Nov. 10, 2016

Nov. 10, 2016

We invite applications for the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships are offered through the UW Institute for Neuroengineering (UWIN), which links advances in biology, computing, devices, data science, and computational neuroscience to solve some of today's greatest scientific challenges about neural system function. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines is strongly encouraged. The fellowships provide two years of funding including a $65,000 annual salary and a $25,000 research stipend. Applications are due by January 16, 2017. Please see http://uwin.washington.edu/post-docs/ for more information. ------------------------- Alison Mehravari, Ph.D. Assistant Director of Operations University of Washington Institute for Neuroengineering Air Force Center of Excellence: Nature Inspired Flight Technologies and Ideas Daniel Lab, Department of Biology University of Washington Box 351800, Seattle, WA 98195 amehrava(a)uw.edu<mailto:amehrava@uw.edu>, 206-543-7335

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PhD position in the Blue Brain Project, Ecole Polytechnique Federale de Lausanne (EPFL)
by Ramaswamy Srikanth Nov. 10, 2016

Nov. 10, 2016

----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Digital Reconstruction of Cholinergic Neuromodulation of Neocortical Microcircuitry Supervisors: Dr. Srikanth Ramaswamy, Prof. Henry Markram Keywords: Neocortex, microcircuits, simulation, neuromodulation, acetylcholine, dendrites, synaptic transmission, network activity Project description: Neuromodulators are chemical messengers - hormones, neuropeptides, and neurotransmitters - that diffusely target neurons and synapses in specific brain regions. Distinct groups of neurons located in subcortical areas release neuromodulators such as acetylcholine (ACh), noradrenaline, serotonin, dopamine, and histamine. These neuromodulators directly control information processing in neocortical microcircuits by modulating shifts between activity states such as sleep and wakefulness, or distraction and attention. Neuromodulators are also directly implicated in a spectrum of debilitating disorders such as migraine, schizophrenia, Alzheimer’s and Parkinson’s disease. Yet, despite their crucial role in physiology and pathology, we lack a detailed understanding of the way they regulate the function of dendrites, synapses, neurons, and network activity in neocortical microcircuitry. The objective of the proposed PhD project will be to devise, implement and study biophysical models of ACh neuromodulation of neocortical microcircuitry. The project will leverage the Blue Brain Project’s data-driven digital reconstruction of neocortical microcircuitry1, 2, and augment it with biophysical models of the anatomy and physiology of ACh neuromodulation of somatosensory cortex. Specifically, the project will implement and constrain cellular and synaptic models of ACh neuromodulation and study its regulation of cortical activity states. The project requires active collaboration with the Laboratory of Neural Microcircuitry (LNMC), EPFL to design neurophysiological experiments in thenrodent somatosensory syetem and integrate relevant data into the digital reconstruction. Significant computing resources on a large high performance computing system will be made available for this project. 1. Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M.* et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495. * Co-first author. 2. Ramaswamy S.*, Courcol J-D.*, Abdellah M., Adaszewski S.R., Antille N. et al. (2015). The Neocortical Microcircuit Collaboration Portal: A Resource for Rat Somatosensory Cortex. Front. Neural Circuits 9:44. *Co-first author. Key collaborators: Dr. Rodrigo Perin (EPFL-LNMC), Ms. Ayah Khubieh (EPFL-LNMC), Dr. Eilif Muller (EPFL-BBP), Dr. Fabien Delalondre (EPFL-BBP), Prof. Felix Schürmann (EPFL-BBP), and Prof. Idan Segev (Hebrew University, Jerusalem). This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Srikanth Ramaswamy <srikanth.ramaswamy(a)epfl.ch<mailto:srikanth.ramaswamy@epfl.ch>> ------------- Dr. Srikanth Ramaswamy EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: https://people.epfl.ch/srikanth.ramaswamy

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Simons-Berkeley Research Fellowship - Call for Applications
by Bruno Olshausen Nov. 10, 2016

Nov. 10, 2016

Simons-Berkeley Research Fellowship -- Call for applications In Spring 2018 the Simons Institute for the Theory of Computing will hold a semester-long program on Brain and Computation, see https://simons.berkeley.edu/programs/brain2018 The Institute invites applications for Simons-Berkeley Research Fellowships in connection this program. Simons-Berkeley Research Fellowships are intended for exceptional young scientists (within at most six years of the award of their PhD at the start of 2017-18 academic year). Applicants who already hold junior faculty or postdoctoral positions are welcome to apply. In particular, applicants who hold, or expect to hold, postdoctoral appointments at other institutions are encouraged to apply to spend one semester as a Simons-Berkeley Fellow subject to the approval of the postdoctoral institution. The Institute expects to award about 30 Fellowships in 2017-18; the majority of these are for one semester, but several appointments for a full academic year are expected to be made. In each semester of residence each Fellow will normally participate in at least one of the ongoing programs at the Institute. The Simons Institute for the Theory of Computing is a major international venue for collaborative research in theoretical computer science and related fields. The Institute is housed on the UC Berkeley campus, and provides a vibrant and welcoming environment for visiting researchers. In each academic semester the activities of the Institute are largely focused on specific research programs, each of which attracts around sixty long-term participants ranging from senior scientists to graduate students. Salaries and benefits are competitive and assistance with visas and housing will be provided. The Institute particularly encourages applications from women and minority candidates. For more on the Simons Institute and application instructions for the Simons-Berkeley Research Fellowships, please see https://simons.berkeley.edu/fellows2017 The deadline for receipt of complete application materials (except letters) is December 15, 2016. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute & School of Optometry Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/bruno

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Neural Processing Letters: 2nd CFP for the Special Issue on "Off the mainstream: advances in neural networks and machine learning for pattern recognition"
by Friedhelm Schwenker Nov. 9, 2016

Nov. 9, 2016

2nd Call for Papers Special issue on Off the mainstream: advances in neural networks and machine learning for pattern recognition to be published in Neural Processing Letters *** Submission deadline: January 31, 2017 *** Guest editors: Edmondo Trentin, University of Siena, Italy (trentin(a)dii.unisi.it) Friedhelm Schwenker, University of Ulm, Germany (friedhelm.schwenker(a)uni-ulm.de) Nemat El Gayar, Cairo University, Egypt (elgayar.neamat(a)gmail.com) Hazem M. Abbas, Ain Shams University, Egypt (hazem.abbas(a)eng.asu.edu.eg) Aims and scope of the special issue: "Mainstream science is about publishing what everyone else is publishing with very small changes. You'd better at least start off that way if you want to get tenure," the sociologist Rodney Stark said. But "big ideas don't come to those who avoid risk", as John Bohannon added. The area of artificial neural networks (ANN) and machine learning (ML) makes no exception to these ends: Mainstream topics, originally stemming from exciting breakthroughs (the "big ideas") that gradually become trends and end-up being mostly over-beaten publishing tracks, have characterized the scientific literature throughout the whole history of these research fields. A few, widely known instances of such (more or less recent) mainstream trends are: - Supervised support vector machine training (in both primal and dual) - Supervised multilayer perceptron training via regular backpropagation - Radial basis functions networks - Bayesian networks (either shallow or deep) - Deep feed-forward and convolutional neural networks - Countless applications of the aforementioned machineries - The “approximation capabilities” of such machineries Based on these premises, this special issue invites paper submissions on real novel research developments in the areas of neural networks and learning machines that (1) are rooted in (or, aimed at) pattern recognition (PR), and that, above all, (2) do not follow in the footsteps of nowadays established trends. Preference (over applications, theoretical analysis, and variants of established techniques) will thus be given to submissions that hand out fresh and innovative ideas/architectures/algorithms, even if they are in their infancy (e.g., possibly lacking of a complete investigation of their theoretical properties). A detailed list of topics of interest would contradict the very perspective of the present special issue. Nonetheless, some general, topical research directions are (to name a few): - New ANN or ML architectures - New ANN, ML, or PR algorithms - New estimation/optimization/assessment techniques for ANNs, ML, or PR - New and sound combination/hybridization of machines - Solutions to new, relevant PR-related problems - New and sound solutions to established PR-related problems If you are not sure on whether your manuscripts matches the aims and scope of this special issue or not, do not hesitate to get in touch with the guest editors at any time. The special issue will comprise (a) papers submitted in response to this call, and (b) extended versions of selected papers from the ANNPR 2016 Workshop (https://neuro.informatik.uni-ulm.de/ANNPR2016/) sponsored by the International Association for Pattern Recognition. Paper submission: Papers must be submitted online via the Neural Processing Letters website (https://www.editorialmanager.com/nepl/default.aspx) selecting the choice that indicates this special issue (identifier: S.I.:Off_mainstream). Prepare your paper following the Journal guidelines for Authors (http://www.springer.com/computer/ai/journal/11063?detailsPage=pltci_1060677) All submitted papers will undergo a regular peer-review process. Important dates: Opening of electronic submission: September 1, 2016 Submission deadline: January 31, 2017 Completion of 1st round of review process: March 31, 2017 Re-submission of revised manuscripts: May 15, 2017 Final decision: June 30, 2017 Tentative publication of the Special Issue: Fall 2017 -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Video course on understanding higher cognition in terms of brain anatomy and physiology
by Andrew Coward Nov. 7, 2016

Nov. 7, 2016

A 29 lecture video course on approaches to understanding cognitive processes in terms of brain anatomy and physiology is now available at www.understandinghighercognition.com<http://www.understandinghighercognition.com> The lectures are based on a course given to third year and graduate students in computer science, psychology and neuroscience at the Australian National University in Canberra and also at Simon Fraser University in Vancouver, Canada. Topics covered include: - The nature of understanding: lessons from the computer science approach to understanding complex systems - Major cognitive phenomena: attention; different types of memory; speech and consciousness - Key topics in brain anatomy, physiology and chemistry - Practical pressures on brain architecture exerted by natural selection: resource limits, learning without interference with prior learning, etc; - Architectural forms resulting from the practical pressures - Evidence for the existence of the predicted architectural forms in the brain; how to use the forms to support understanding - Understanding attention and different types of memory: semantic, episodic, priming, working and procedural memory - Understanding specific cognitive tasks - Understanding human consciousness and self awareness. Each lecture is divided into 5 - 10 minute topic videos. Lecture format is mainly images and graphics supported by verbal explanations. Textbook for the course is "Towards a Theoretical Neuroscience: from Cell Chemistry to Cognition<http://www.springer.com/us/book/9789400771062>" <http://www.springer.com/us/book/9789400771062> published by Springer. Access to the lectures is free.

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Post-Doctoral Position to Research Mediating and Moderating Factors that Determine Transfer of Working Memory Training at UC Riverside and UC Irvine.
by Aaron Seitz Nov. 5, 2016

Nov. 5, 2016

Please forward the below to anyone that you think might be interested. Thanks, -Aaron Post-Doctoral Position to Research Mediating and Moderating Factors that Determine Transfer of Working Memory Training at UC Riverside and UC Irvine. Aaron Seitz (UCR) and Susanne Jaeggi (UCI) are seeking to hire a post-doctoral researcher to work on a project funded by the National Institute of Mental Health entitled ³The Understanding Mediating and Moderating Factors that Determine Transfer of Working Memory Training² (https://ucrtoday.ucr.edu/40627 <https://ucrtoday.ucr.edu/40627> ). This individual is expected to take a lead role in designing and conducting experimental work investigating features of training that differentially lead to learning and transfer of learning, participant characteristics that determine predispositions for different training outcomes, and develop and implement tests that are valid towards assessing potential far transfer of working memory training to ecological settings. This project, which intends to run 31,000+ research participants (online and in lab) on working memory training, aims to generate a robust and reliable dataset on Working Memory training to settle current debates in the field and translate these findings to promote more effective methods of cognitive rehabilitation. Successful candidates should have strong technical skills, management skills, creativity and perseverance required to play a lead role in this sizeable project, and have expertise in one or more of the following areas and knowledge of the others; working memory, cognitive training, perceptual learning, and methods of assessing individual differences and effects of interventional studies. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. 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. The post-doctoral researcher will be involved at all stages of the proposed research, including setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. The postdoc will spend equal time on the UCR and UCI campus and work closely with both Seitz and Jaeggi to insure that procedures are coordinated between the sites and that all personnel are properly trained and supervised. The primary appointment will be at the UC Riverside Brain Game Center for Mental Fitness and Well-being (http://braingamecenter.ucr.edu/ <http://braingamecenter.ucr.edu/> ). The Brain Game Center¹s mission is to research, test, and disseminate evidence-based, scientifically optimized brain fitness games that transfer benefits to real-life activities. The Center has recently moved into a 3000 square foot facility that provides an ideal environment for the proposed work with a staff of full time research coordinators, full time programmers and a team of postdocs, graduate students, and an army of research assistants that facilitates the development, testing and dissemination of brain training games and cognitive assessment tools. The Brain Game Center is the only university-based research center focused on research of brain training games, and it has a track record of making tested procedures publically available so that people can try them out for themselves. The post-doc will also spend time at the UCI Working Memory and Plasticity Lab (http://wmp.education.uci.edu <http://wmp.education.uci.edu/> ) whose mission lies in the development of working memory interventions for populations across the lifespan, with the aim to understand the underlying cognitive and neural mechanisms that drive training-related changes using behavioral and neuroimaging methods, as well as transcranial electrical stimulation. The WMP lab currently employs 3 full-time research coordinators, as well as a team of undergraduate research assistants, and graduate students from both, the School of Education and the Department of Cognitive Sciences, and there is a host of ongoing national and international research collaboration providing opportunities for networking and intellectual exchange. Candidates should send a cover letter, CV, relevant publications, and the names of three references with phone numbers and email addresses to: Aaron Seitz aseitz(a)ucr.edu <mailto:aseitz@ucr.edu> ) and/or Susanne Jaeggi (susanne.jaeggi@u <mailto:susanne.jaeggi@gmail.com> ci.edu <http://ci.edu/> ). Review of materials will begin immediately and will continue until the position is filled. ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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2 postdoctoral positions at the University of Pennsylvania
by Maria Neimark Geffen Nov. 3, 2016

Nov. 3, 2016

2 postdoctoral positions: Neuronal circuits for dynamic auditory perception. The Geffen Laboratory at the University of Pennsylvania (Philadelphia, PA, USA) has two openings for a postdoctoral researcher (one experimental and one theoretical/computational) to study the neuronal circuits for dynamic auditory perception. There are a number of projects available, including: investigating intra-cortical and subcortical circuits supporting auditory adaptation; identifying neuronal circuits for hearing in the presence of noise; unraveling neuronal circuits controlling learning-driven changes in auditory acuity. We use cutting-edge experimental techniques for investigating population neuronal activity, including two-photon imaging of Calcium activity in behaving, head-fixed rodents, large-scale electrophysiological chronic and acute recordings, optogenetic, pharmacological and behavioral techniques. We are a creative, productive and collaborative group. Please see our lab website for more details on ongoing projects in the laboratory and recent publications ( http://www.med.upenn.edu/hearing <http://www.med.upenn.edu/hearing> ). The ideal candidate will be an energetic, talented, friendly, enthusiastic and creative researcher, who has recently completed (or plans on completing) their PhD and has received training in neuroscience, psychology, chemistry or biology (for the experimental position) or computational neuroscience, physics, mathematics or computer science (for the computational position). Prior experience in systems neuroscience is desired, but a highly successful applicants wishing to switch to neuroscience from other fields will also be considered. Proficiency with Matlab or other scientific computing software is expected. The campus of the University of Pennsylvania <http://www.upenn.edu/> has a wonderful collegiate feel, and the Medical School is located on the main campus, facilitating collaborations across departments. For a sample of events that almost everyone in our lab attends, consider: a weekly lab meeting, a weekly Computational Neuroscience Initiative seminar, a bi-weekly auditory journal club, a weekly interdisciplinary Mind and Brain seminar, and much more. Philadelphia is a vibrant city with a variety of cultural, gastronomical and entertainment attractions. To apply, please send your CV along with a cover letter briefly summarizing your research interests and include pdfs of your recent publications to Prof. Maria N. Geffen mgeffen(a)med.upenn.edu <mailto:mgeffen@med.upenn.edu> .

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Visit the Bernstein Network at booth #4017 at SfN 2016 for your next career step in Computational Neuroscience
by Kerstin Schwarzwaelder Nov. 3, 2016

Nov. 3, 2016

Dear all, The Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2016. Please find us at the "Neuroscience in Germany" booth #4017. The booth will present: * research fields * study and training programs * open positions * research and funding opportunities We are looking forward to welcoming you at booth #4017! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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3 Research fellow positions at the University of Sussex
by Thomas Nowotny Nov. 2, 2016

Nov. 2, 2016

We have 3 open positions for research fellows in Computational Neuroscience, bio-inspired Robotics and Computer Science (GPU accelerated computing). The positions are part of the new Brains-on-Board project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1) which is a multi-university collaboration aiming to create robotic controllers that will enable autonomous robots with the navigational and learning abilities of a honeybee. The project involves five research groups at the University of Sheffield, Queen Mary University, London, and the University of Sussex performing research whose goal is biomimetic robot control and which will combine autonomous robotics, computational neuroscience, accelerated neural network simulations on GPU architectures and insect neuroscience and behaviour. In Sussex we are seeking to employ a team of 3 research fellows for initially 2 years, with possible extension up to 5 years. We envisage the fellows to start in January 2017. RF 1 (ref 1388) in bio-inspired robotics, will develop insect-derived models of navigation and apply them to autonomous robots. The work will include refining and developing models of insect navigation and testing them on robotic platforms ranging from the Sussex Gantry robot through wheeled robots to autonomous aerial vehicles. A successful candidate will have a keen interest in the interface of computational biology and bio-inspired robotics and a proven track record in working in this area. RF 2 (ref 1389) in Computational Neuroscience, will work on models of associative learning, multimodal integration and decision making in insects. The work will include formulating neuronal network models of the mushroom bodies, central complex and motor areas of the bee brain constrained by experimental data. The models will then be employed and tested on robotic platforms, including wheeled robots and aerial vehicles. A successful candidate will have a keen interest in computational neuroscience and experience with computational modelling. RF 3 (ref 1390) in Computer Science, working on GPU accelerated simulation of brain models and brain-inspired robot controllers, building on our GeNN meta-compiler and the SpineCreator/SpineML API to GeNN. The work will include developing methods for model- and hardware-aware GPU-accelerated simulations methods that will allow us to efficiently simulate both large-scale models in Computational Neuroscience on super-computers and bio-inspired robotic controllers on embedded systems GPU accelerators. A successful candidate will have proven skills in complex software development with a focus on scientific computing. All RFs will work together on the project within Sussex and in the larger Brains-On-Board team. We encourage applicants to apply for multiple positions if they are interested and feel qualified. Please indicate any preferences when applying for multiple positions. In order to apply got to http://www.sussex.ac.uk/aboutus/jobs/1388-1389-1390 where you can find further details and the application form. The closing date is 1 December 2016. For informal enquiries, please contact Prof Thomas Nowotny (t.nowotny(a)sussex.ac.uk<mailto:t.nowotny@sussex.ac.uk>) or Dr Andy Philippides (andrewop(a)sussex.ac.uk<mailto:andrewop@sussex.ac.uk>). With kind regards, Thomas -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

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PhD position @ Blue Brain Project - Plasticity in the neocortex
by emuller Nov. 2, 2016

Nov. 2, 2016

----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Principles of biophysical structural plasticity in the neocortex Supervisors: Prof. Henry Markram, Dr. Eilif Muller Keywords: simulation, neocortex, plasticity, network reorganization, assemblies, coding, dendrites, calcium, NMDA Project description: During our lifetimes, our brains undergo continuous changes as a consequence of our experiences. Synaptic plasticity—the biological process by which brain activity leads to long-term changes in synaptic connections—is thought to be central to learning and memory. However, little is known about how this process shapes the specialization of biological neural networks, such as the neocortex. The objective of the present work will be to devise, implement and study data-driven biophysical models of synaptic and structural plasticity for the formation of functional neocortical networks. This project will leverage the Blue Brain Project data-driven reconstruction of a neocortical microcircuit [1], and augment it with data-driven biophysical calcium-based models of synaptic and structural plasticity. The specific objective of this PhD project will be to implement and constrain models of structural plasticity, and study the formation of assemblies, and emergent structure-function relationships in the presence of structured input. The prospective student will join an ongoing collaboration including international experts in biophysical modeling of plasticity and dendrites, topological analysis of network structure, and optimization of neural simulations for large supercomputers. A significant allocation of computing time on a large HPC system will be at the disposal of this project. [1] Markram, H., Muller, E., Ramaswamy, S., Reimann, M. et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495 (2015). Key external collaborators: Dr. Michael Graupner (CNRS, Université Paris Descartes), Prof. Idan Segev (Hebrew University Jerusalem) This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Eilif Muller <eilif.mueller(a)epfl.ch> ------------- Dr. Eilif Muller Section Manager - In Silico Neuroscience - Experimentation EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller

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Fully funded postdoc position at the University of Geneva
by Jolivet, Renaud Nov. 1, 2016

Nov. 1, 2016

The University of Geneva seeks one postdoc in computational neuroscience to investigate the relation between information transfer at synapses and in neural networks, and concomitant energy consumption. The starting date is May 2017. This position is fully funded by the Swiss National Science Foundation for 24 months. Initial appointment is for one year. Research will be conducted in the medical physics group of the physics section at the University of Geneva, under the supervision of Prof. Renaud Jolivet. * Summary Information transmission in the brain is energetically expensive, yet has to satisfy demands of speed and signal-to-noise reliability. We have recently shown that the strong retinogeniculate synapse relaying information from the retina to the thalamus resolves these competing constraints by maximizing energetic efficiency when transferring information. In their physiological state, these synapses are not set to transmit the maximum amount of information possible: information transmission increases when larger excitatory postsynaptic currents (EPSCs) are injected into the postsynaptic thalamic neuron. However, EPSCs that are larger or smaller than physiological EPSCs decrease the information transmitted per energy used. The physiological EPSC size therefore maximizes energy efficiency rather than pure information transfer across the synapse. In other words, the retinogeniculate synapse trades information for energy savings (http://dx.doi.org/10.1016/j.cub.2015.10.063; http://dx.doi.org/10.1016/j.neuron.2012.08.019) These findings suggest maximization of information transmission per energy used as a design principle in the brain. However, it is unclear how broadly this principle applies. Whether energy efficiency at excitatory synapses is a special property of strong relay synapses, or a more general principle also governing synaptic inputs that contribute more weakly to determining the output of the postsynaptic cell is an open question. These findings also raise the question of what mechanisms are in effect in order to achieve energetic efficiency of information transfer at synapses. This project will address these questions using information theory and simulations of biologically validated neuron models. Applicants must imperatively be self-sufficient programmers (MATLAB preferred) and have a strong background in computational neuroscience. They should be familiar with several of the following topics: information theory, Hodgkin-Huxley models, the NEURON simulation environment, signal processing, models of synaptic plasticity, models of neural networks. Please contact renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> for additional information. * About the University of Geneva (UNIGE) UNIGE is a generalist French-speaking university located in Geneva, Switzerland. The QS World University Rankings 2016 and Times Higher Education World University Rankings 2016/17 respectively rank UNIGE as 95th and 131st worldwide. It ranks 41st worldwide for science (Shanghai Academic Ranking of World Universities in Natural Sciences and Mathematics 2016). It is Switzerland’s second largest university with more than 17000 students of 150 different nationalities and about 4000 researchers of 113 nationalities, who study and work in 9 different faculties. UNIGE trains a large number of PhD students and postdocs in neuroscience. The various research and teaching activities are listed at http://neurocenter.unige.ch/ and at https://www.unil.ch/ln/en/home.html. UNIGE is also developing with other institutions a new campus in Geneva (http://www.campusbiotech.ch/en/) focusing heavily on neuroscience and translational research. Geneva is at the heart of a conurbation with more than 1.25 million inhabitants. It is a global city, a financial center, and worldwide center for diplomacy and research. It has one of the highest quality of life in the world. It offers varied cultural activities and outdoor opportunities being located at one extremity of Lake Geneva, one of the largest lakes in Europe, on the western doorstep of the Alps. The University of Geneva offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. It is an equal opportunity employer and women are encouraged to apply. The official language of the laboratory is English. * How to apply Please send an e-mail to renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> with your resume, list of publications, a one-page statement describing your research interests and career plan, and the names of at least three references. — Prof. Renaud Jolivet CERN, Experimental Physics Department & University of Geneva, Physics Section +41 22 767 24 70 (CERN) +41 22 379 62 75 (UNIGE) +41 79 830 21 29 (mobile) renaud.blaise.jolivet(a)cern.ch<mailto:renaud.blaise.jolivet@cern.ch> https://sites.google.com/site/renaudjolivet/

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PhD position in cognitive modeling
by Angela Yu Oct. 31, 2016

Oct. 31, 2016

Applications are invited from highly motivated students to conduct PhD research in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Dr. Yu's group is situated within the Cognitive Science department of UCSD, but Dr. Yu advises students not only from the Cognitive Science, but also from Computer Science & Engineering, Electrical & Computer Engineering, and Neurosciences PhD programs. Interested students should apply directly to one or more of the PhD programs, and indicate Dr. Yu as a potential research advisor in the research statement. They are also encouraged to email Dr. Yu directly to explain why they think their interests/background are a good fit for working with Dr. Yu. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu <http://www.cogsci.ucsd.edu/~ajyu> —————————————————— ----------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science 858-822-3317 www.cogsci.ucsd.edu/~ajyu -----------------------------------

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Postdoc position in computational modeling
by Angela Yu Oct. 28, 2016

Oct. 28, 2016

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Accepted candidate would have great latitude in determining own research projects. Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Electrical Engineering Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>). Candidates are invited to explain in detail how their own research interests dovetail that of Dr. Yu's lab. Two or more letters of references should be sent directly to Dr. Yu. Dr. Yu will be interviewing candidates at the Society for Neuroscience Annual Meeting in San Diego, November 12-16, 2016. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu -------------------------------------

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MIT postdoc position in AI/neuroscience/physics
by Max Tegmark Oct. 27, 2016

Oct. 27, 2016

The MIT Physics Department invites applications for a postdoctoral research position to work with Professor Max Tegmark on the physics of intelligence, in partnership with Tomaso Poggio, Edward Boyden, Gabriel Kreiman and others associated with the Center for Brains, Minds & Machines (https://cbmm.mit.edu/about/people) and with a network of other collaborators. Research interests at the interface of theoretical physics, artificial intelligence and computational neuroscience are a strong plus. Candidates interested in exploring ways to test theories with state-of-the-art data and simulations are particularly welcome. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests and goals and should arrange for three letters of recommendation to be uploaded to this site by December 1, 2016. A Ph.D. in physics or physics-related discipline, such as AI or computational neuroscience, is required by the start of employment. Any inquiries should be sent to tegmark(a)mit.edu. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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