- Comp-neuro - lists.cnsorg.org

Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction'

by Lorenz, C.M.

Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction' We are looking for highly motivated PhD candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The Netherlands has an outstanding track record in the language sciences. This research consortium sponsored by a large grant from the Netherlands Organization for Scientific research (NWO) brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The research team consists of 43 Principal Investigators. In addition to the excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. Currently, the consortium advertises five PhD positions for a period of 4 years. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Maximum salary: €2,717 gross/month Closing date for application: 04 October 2015, 23:59 CET For more information on the PhD positions and how to apply:https://www.languageininteraction.nl/ThirdCallGeneral.html

Sept. 3, 2015

SAC2016 - NeuroComputing Track - Paper submission DEADLINE EXTEDED

by Falotico Egidio

Dear Community, The paper submission deadline of SAC2016 conference has been extended to September 21. Please consider to submit a contribution to the NeuroComputing track. ============================== NeuroComputing Track - Call For Papers ============================== The NeuroComputing Track has been proposed as a track of the Symposium on applied Computing (SAC2016) that will be held in Pisa from 4 to 8 April 2016. The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP). ============================== TRACK AIM The development of computation models of the nervous system and neural processes has risen at a rapid pace. Developing neuro-inspired computing paradigms that mimic nervous system function fosters our model understanding of the biological system and targets technical applications in artificial systems. Today, combined efforts in the fields of the neuroscience and computer science in interdisciplinary research projects like the Human Brain Project enable the simulation of spiking biological neural networks with millions of neurons. In order to deal with the complexity and scaling of such networks a new generation of appropriate tool is needed to simulate the neural network in real-time. Neuromorphic hardware and supercomputers are the ideal candidates on the hardware side, and on the software side tools should ease the development and support the researcher during the evaluation by offering a toolchain for the implementation and simulation. The aim of the ACM Symposium on Applied Computing (SAC) Track on NeuroComputing is to gather innovative works related to the application of computational techniques for the brain simulation, as well as the system software, middleware, interactive computational steering and visualization support necessary to create and simulate multi-scale brain models and to address the hard-scaling challenges of whole brain modelling. ============================== TRACK WEBSITE http://sssa.bioroboticsinstitute.it/tracks/sac2016 ============================== TOPICS OF INTEREST - Neuromorphic hardware - Large scale simulation of NN - Brain visualization tools - Neuro imaging software - Spiking neural networks - Bio-inspired learning mechanisms - Software applications for real-time neural network simulation - Software applications for real-time brain-body simulation - High performance computing for neural simulation - Neural simulators ============================== IMPORTANT DATES September 21, 2015 : Paper submission extended November 13, 2015 : Acceptance notification December 11, 2015 : Camera-ready submission ============================== TRACK CHAIRS Cecilia Laschi, The BioRobotics Institut,e Scuola Superiore SantAnna Pisa, Italy Egidio Falotico, The BioRobotics Institute, Scuola Superiore SantAnna Pisa, Italy Florian Röhrbein, Technical University of Munich, Munich, Germany Marc-Oliver Gewaltig, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Paul Levi, Research Center for Information Technology,Karlsruhe, Germany Stefan Ulbrich Research Center for Information Technology,Karlsruhe, Germany -- Egidio Falotico Computer Scientist PhD in BioRobotics PhD in Cognitive Science The BioRobotics Institute Polo Sant'Anna Valdera - Scuola Superiore Sant'Anna Viale Rinaldo Piaggio, 34 - 56025 - Pontedera (PI) - Italy Phone: +39 050 883 457 e-mail: e.falotico(a)sssup.it

Sept. 2, 2015

Call for abstracts: Bounded optimality and rational metareasoning workshop @ NIPS

by Sam Gershman

We are pleased to announce a NIPS workshop on bounded optimality and rational metareasoning, which will take place in Montreal, Canada on December 11, 2015. This workshop brings together computer scientists working on bounded optimality and metareasoning with psychologists and neuroscientists reverse-engineering the computational principles that make the human brain incredibly resource-efficient. The goal of this workshop is to synthesize these different perspectives on bounded optimality, to promote interdisciplinary interactions and cross-fertilization, and to identify directions for future research. We invite abstract submissions, due October 28: https://sites.google.com/site/boundedoptimalityworkshop/call-for-abstracts Tentative schedule: https://sites.google.com/site/boundedoptimalityworkshop/home Sam Gershman Assistant Professor Department of Psychology and Center for Brain Science Harvard University http://gershmanlab.webfactional.com/index.html

Sept. 2, 2015

COSYNE 2016: Call for workshop proposals

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 1, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PROPOSAL DEADLINE: 31 October, 2015. PRE-PROPOSALS: In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by October 1st, 2015. Pre-proposals will be shared among submitters. Pre-proposals are requested but not required. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at http://www.cosyne.org/c/index.php?title=Workshops) Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Please note that in an effort to reduce the overlap between workshops, speakers are strongly discouraged from presenting talks at more than one workshop. WORKSHOP DETAILS: - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8:00-11:00 AM) and afternoon (4:30-7:30 PM) sessions. - Workshops will be held at Snowbird, a ski resort located 30 miles (typically less than an hour) from the Salt Lake City airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS: Deadline for pre-proposals: 01 October, 2015 Deadline for proposals: 31 October, 2015 Format: plain text only -- please no attachments email to: cosyne16workshops(a)gmail.com (Claudia Clopath, Alfonso Renart) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS: Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS: Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2016 WORKSHOP CHAIRS: Claudia Clopath (Imperial College London) and Alfonso Renart (Champalimaud Center Lisbon). QUESTIONS: email: cosyne16workshops(a)gmail.com

Sept. 2, 2015

Postdoc

by Pestilli, Franco

Dear Community, We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI<https://www.indianactsi.org/>. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014<http://www.nature.com/nmeth/journal/v11/n10/abs/nmeth.3098.html>; Mišić et al., Neuron 2015<http://www.cell.com/neuron/abstract/S0896-6273(15)00474-2>) on the latest generation of data from Indiana Alzheimer Disease Center<http://iadc.medicine.iu.edu/>. The project is a collaboration between groups at Indiana <https://www.indiana.edu/> University Bloomington<https://www.indiana.edu/> (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling. The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/. Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli franpest(a)indiana.edu<mailto:franpest@indiana.edu>. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status. Best regards, Franco Franco Pestilli, PhD Assistant Professor Psychology<http://psych.indiana.edu/>, Neuroscience<http://www.indiana.edu/~neurosci/> and Cognitive Science<http://www.cogs.indiana.edu/> Indiana Network Science Institute<http://iuni.iu.edu/> 𝞇 Indiana University, Bloomington<http://www.iub.edu/>, IN 47405<http://goo.gl/0uVOc8> francopestilli.com<http://www.francopestilli.com/> | franpest(a)indiana.edu<mailto:franpest@indiana.edu> Phone: +1 (812) 856 9967

Sept. 1, 2015

open positions in machine learning and computational neuroscience

by Turaga, Srinivas C

The Turaga Lab is looking for exceptional postdoctoral researchers and programmers (and graduate students!) for research at the intersection of machine learning and neuroscience. https://www.janelia.org/lab/turaga-lab With recent technological advances in 3d electron microscopy, optogenetics and large-scale chronic in vivo neural imaging, it is now possible to measure and perturb the activity of large populations of neurons, and to map their connectivity. These new data can be used understand how the structure of a neural circuit gives rise to its function. Our lab develops machine learning algorithms to map neural connectivity, and statistical models to characterize neural activity and to relate activity to connectivity. We have pioneered the use of deep-learning based machine learning algorithms to map neural connectivity from 3d electron microscopic images of brain tissue, and we are now working to improve these methods. This involves solving interesting new problems in structured prediction, active learning and unsupervised learning at an unprecedented scale (imagine working with labeled training datasets with 10^9 examples in a 10^6 dimensional feature space and wanting to achieve accuracies of 99.999%!). We are also developing novel statistical methods to analyze large-scale calcium imaging datasets. This is with an eye towards combining such large-scale activity measurements with structural connectomes in order to relate neural activity to neural connectivity with statistical and mechanistic models. HHMI's Janelia Research Campus is a unique, world-class research community near Washington, D.C. dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. Applicants should have a strong quantitative background with degrees or expertise in machine learning, computational neuroscience, applied mathematics, physics or related discipline. Excellent collaborative programming skills in Python, C/C++, Java or similar languages are essential. To apply, please send a CV and names and addresses of 2-3 references by email to Dr. Srini Turaga, turagas(a)janelia.hhmi.org.

Sept. 1, 2015

SFN 2015 Workshop: high performance computing via Neuroscience Gateway

by Ted Carnevale

What: Workshop on the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org) When: 9AM - Noon on Saturday, October 17, 2015. Registration deadline: Friday, October 2, 2015. Where: Downtown Chicago (exact location announced to registrants) Speakers: Amit Majumdar, Subha Sivagnanam, Padraig Gleeson, Simon Rothmeier, Ted Carnevale, Alex Peyser, Hannah Bos. Agenda: Downloadable from http://www.nsgportal.org/workshop.html Why: If you have, or plan to start, a research project that involves computationally intensive modeling or data analysis, you should know about NSG. NSG is being developed with support from NSF to make it easy for neuroscientists to use high performance computing (HPC) resources in their research. Some of NSG's advantages: * Quick and easy account application and approval. * Free computing time. No cost to your account budget! * Simple user interface for uploading data, running simulations or data analysis tasks, and downloading results * Installed software includes MOOSE, GENESIS 3, NEST, NEURON, PyNN, the Freesurfer Software Suite, and the Virtual Brain Empirical Data Pipeline For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

Sept. 1, 2015

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327

by Diego Sona

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327 Fondazione Istituto Italiano di Tecnologia – IIT – was established by the Italian government to promote technological development and training in the scientific and technological field. Toward this end, IIT is implementing a detailed scientific program, which comprises integration across fundamental research and application. IIT’s research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. One postdoctoral position in Computer Vision, Pattern Recognition and Machine Learning is available in the department of Pattern Analysis and Computer Vision (PAVIS) at the Istituto Italiano di Tecnologia (IIT) ,Genova, Italy. PAVIS department has consolidated expertise in image processing, computer vision, pattern recognition and machine learning and aims at studying and designing intelligent systems for the analysis and understanding of real-world problems. PAVIS focuses in particular on activities related, but not limited, to surveillance and security, biomedical imaging, and bioinformatics. Project Description The research position is funded by the European project “RENVISION - Retina-inspired ENcoding for advanced VISION tasks” (http://www.renvision-fp7.eu/ <http://www.renvision-fp7.eu/>). The overall aim of the project is to achieve a comprehensive understanding of how the retina encodes complex visual scenes, and to use such insights to develop new computational models of retina and toapply them to high-level computer vision tasks, such as scene categorization and action recognition. The project is highly interdisciplinary, including neuro-engineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision. RENVISION is funded by the European Commission FP7 Future Emerging Technologies programme, under contract n. 600847. Description of the research The candidate will design novel methodologies and algorithms based on pattern recognition and machine learning techniques, aiming at analysing electrophysiological recordings in response to visual stimulation of retina. The main objective of the research is the discovery/determination of representative and/or discriminative features in retina coding allowing for high-level vision tasks, such as scene categorization and action recognition. To this purpose, deep learning, sparse and dictionary learning approaches are to be considered. Experience and Qualifications We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of the proposed work. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise in deep learning, compressive sensing, and/or dictionary learning is in general preferred. Experience in spiking networks or retinal function will be appreciated while not being a discriminating factor. A strong programming skill is required. Annual salary will depend on research experience and qualification. Closing Date The initial deadline for applications is September 7th , 2015, however please note that the search will continue until appropriate candidates have been identified. How to apply Completed application forms along with a curriculum listing all publications (possibly including pdfs of the most representative ones), names of 2 referees and a research statement (describing previous research experience and outlining its relevance to the above topics) should be sent by email to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> and/or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>, quoting PAVIS-PD 71327 – 71326 as reference number. For informal enquiries please write to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Holder. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in its workforce Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it www.iit.it/pavis.html ---------------------------------------------------------

Aug. 31, 2015

Postdoc/PhD Position in Recurrent Neural Network Architectures

by Herbert Jaeger

The department of Computer Science at Jacobs University Bremen (http://www.jacobs-university.de) announces a POSTDOC / PHD RESEARCH POSITION IN MACHINE LEARNING / NEURAL NETWORKS / INTELLIGENT AGENT ARCHITECTURES (full-time, very competitive salary, 3 years, start December 1, 2015 or later) the MINDS research group of Herbert Jaeger (http://minds.jacobs-university.de) The position is created in the European Horizon 2020 integrated project "Neural Computing Architectures in Advanced Monolithic 3D-VLSI Nano-Technologies" (NeuRAM3). The project aim of NeuRAM3 is to design and fabricate a large-scale, highly configurable neuromorphic microchip. Based on spiking, recurrent neural dynamics, the microchip is similar in some ways to IBM's recent TrueNorth neurochip (http://www.research.ibm.com/articles/brain-chip.shtml) However, our project aims significantly further than TrueNorth, and IBM is one of the consortium partners. In particular, novel 3-dimensional chip manufacturing technologies will enable a much more complex and much more flexibly configurable on-chip neural architecture. Within this setting, the MINDS group develops *neural learning algorithms and architectures* which are tailored to the novel opportunities afforded by a 3-dimensional, spiking microchip. This line of research will be carried out in close collaboration with a consortium partner from computational neuroscience (Institute of Neuroinformatics, University Zurich and ETH Zurich). Currently in machine learning approaches of deep learning are attracting much attention. In several ways the research in the MINDS group is *complementary to deep learning*. The latter is grounded in high-precision gradient descent methods for training and can devour extremely large training datasets to learn extremely complex tasks. The price paid is very long training times and a lack of online adaptability. In contrast, *we aim for very fast (even instantaneous) learning, online adaptability and extensibility, robustness against noise and computations with low numerical accuracy*. Such properties will be crucial for the algorithms running on next-generation chipsets for mobile devices – and they are also crucial for biological neural systems. The background philosophy of this research is framed by reservoir computing (http://minds.jacobs-university.de/ESNresearch) and conceptors (http://minds.jacobs-university.de/conceptors) Eligible candidates must have a mindset inclined toward mathematical modeling, fluency in English, plus a solid background in at least one of the following areas: • dynamical systems theory, • signal processing and control, • machine learning, • computational neuroscience, • intelligent agent architectures. Details about the position and the NeuRAM3 project will be gladly supplied by Herbert Jaeger (h.jaeger(a)jacobs-university.de) upon request. Please submit applications by email to Herbert Jaeger. Applicants passing an initial screening will be asked to supply two letters of reference. Applications will be processed as long as the job announmcent is posted online at http://minds.jacobs-university.de/jobs. *Jacobs University Bremen* is Germany's only private university with a full range of academic programs from the natural and social sciences and engineering. Its student body is one of the most international conceivable: more than 100 nations are joined on our beautiful campus. Within its young history of only a little more than 10 years, Jacobs University has climbed to the top in many disciplines in Germany's most important university ranking (http://www.che-ranking.de/cms/?getObject=613&getLang=en) The language on campus is English. ------------------------------------------------------------------ Dr. Herbert Jaeger Professor of Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

Aug. 31, 2015

Update 2: 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)

by IEEE WCCI 2016

Dear Colleague, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). 2016 IEEE World Congress on Computational IntelligenceVancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org*---------------~*******~-------------------* * Paper Submission is now OPEN* *---------------~*******~-------------------* IEEE WCCI 2016 paper submission is now OPEN. All papers should be submitted through the IEEE WCCI 2016 online submission system before the deadline of 15 January 2016. Click here for more information: http://www.wcci2016.org/submission.php *-----~*******~------* * Speakers* *-----~*******~------* World renowned computer scientist and computational theorist, Chair Professor at Harvard University, 2010 Turing Award winner, Professor Leslie Valiant will deliver a keynote at IEEE WCCI 2016. The 2016 IEEE Frank Rosenblatt Award winner, Professor Ronald R. Yager (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. The 2016 IEEE CIS Evolutionary Computation Pioneer Award winner and 2015 IEEE Frank Rosenblatt Award winner, Professor Marco Dorigo (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. *---------~*******~---------* * Best Paper Awards* *---------~*******~---------* IEEE WCCI 2016 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2016, FUZZ-IEEE 2016, IEEE CEC 2016). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize to be presented during the conference banquet at IEEE WCCI 2016. *--------~****~--------* * Travel Grants* *--------~****~--------* The IEEE Computational Intelligence Society (IEEE CIS) will offer a limited number of travel grants for - Students (undergraduate or graduate students, from any country) - Professional researchers from developing countries who are presenting one or more papers at IEEE WCCI 2016. Click here for more information:http://www.wcci2016.org/sponsors.php *---------~****~---------* * Important Dates* *---------~****~---------* - Special Session & Workshop Proposals Deadline: 15 November 2015 - Competition & Tutorial Proposals Deadline: 15 December 2015 - *Paper Submission Deadline: 15 January 2016* - Paper Acceptance Notification Date: 15 March 2016 - Final Paper Submission & Early Registration Deadline: 15 April 2016 - IEEE WCCI 2016: 25-29 July 2016 For more information on the congress, please visit: [www.wcci2016.org] www.wcci2016.org *Alternatively we can also be reached on the following social media platforms:* - https://www.facebook.com/wcci2016; - https://twitter.com/wcci2016; - http://www.weibo.com/wcci2016; - http://t.qq.com/wcci2016 We look forward to welcoming you in Vancouver next year! Best wishes, Kay Chen Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs

Aug. 31, 2015