- Comp-neuro - lists.cnsorg.org

PhD position in Neurotechnology @ Imperial College

by Chadderton, Paul T

Open PhD position in Neurotechnology at Imperial College London in the Chadderton and Clopath labs. The candidate will be doing in vivo electrophysiology in mouse cerebellum and computational modelling of learning-related changes in this circuit. Candidate must be EU national. Project: Biologically inspired computation for real-time motor control Supervisors: Paul Chadderton (http://neuralcircuitsinbehaviour.squarespace.com/) Claudia Clopath (http://www.bg.ic.ac.uk/research/c.clopath/) An important area of robotics research is focused on developing machines that can learn and adapt to changing environments as efficiently as animals. Biological principles underlying the acquisition of motor skills are likely to inspire these new technologies. The aim of our project is to characterise computational principles of motor learning in real time using novel neurophysiological data from a uniquely tractable and well-controlled system, the whisker circuitry of the cerebellar cortex. Neural recordings will reveal how the brain adapts during learning, and will then be used to develop and apply a biologically constrained computational model in an actively sensing robot. For full application instructions, see: http://www.imperial.ac.uk/neurotechnology/cdt/projects/computation_for_moto…

Dec. 23, 2015

NEURAL COMPUTATION - January 1, 2016

by Terry Sejnowski

Neural Computation - Volume 28, Number 1 - January 1, 2016 Available online for download now: http://www.mitpressjournals.org/toc/neco/28/1 ----- Articles Neural Network Spectral Robustness Under Perturbations of the Underlying Graph Anca Radulescu Sequential Tests for Large Scale Learning Anoop Korattikara, Yutian Chen, and Max Welling Note A Note on Support Vector Machines With Polynomial Kernels Hongzhi Tong Letters Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law Vijay Mohan K Namboodiri, Stefan Mihalas, and Marshall G Hussain Shuler Efficient Associative Computation With Discrete Synapses Andreas Knoblauch Reduction of Trial-to-trial Perceptual Variability by Intracortical Tonic Inhibition Osamu Hoshino, Meihong Zheng, and Kazuo Watanabe An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification David Gomez, Alfonso Rojas Global Exponential Stability of Cohen-Grossberg Neural Networks With Piecewise Constant Argument of Generalized Type and Impulses Qiang Xi ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2016 - VOLUME 28 - 12 ISSUES Student/Retired $78 Individual $138 Institution $1,108 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------ Neural Computation - Volume 28, Number 1 - January 1, 2016 Available online for download now: http://www.mitpressjournals.org/toc/neco/28/1 ----- Articles Neural Network Spectral Robustness Under Perturbations of the Underlying Graph Anca Radulescu Sequential Tests for Large Scale Learning Anoop Korattikara, Yutian Chen, and Max Welling Note A Note on Support Vector Machines With Polynomial Kernels Hongzhi Tong Letters Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law Vijay Mohan K Namboodiri, Stefan Mihalas, and Marshall G Hussain Shuler Efficient Associative Computation With Discrete Synapses Andreas Knoblauch Reduction of Trial-to-trial Perceptual Variability by Intracortical Tonic Inhibition Osamu Hoshino, Meihong Zheng, and Kazuo Watanabe An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification David Gomez, Alfonso Rojas Global Exponential Stability of Cohen-Grossberg Neural Networks With Piecewise Constant Argument of Generalized Type and Impulses Qiang Xi ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2016 - VOLUME 28 - 12 ISSUES Student/Retired $78 Individual $138 Institution $1,108 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

Dec. 23, 2015

AREADNE 2016 Call for Abstracts

by John Pezaris

****** CALL FOR ABSTRACTS ****** AREADNE 2016 Research in Encoding and Decoding of Neural Ensembles 22-26 June 2016 Nomikos Conference Centre Santorini, Greece Celebrating 10 Years of AREADNE Conferences http://www.areadne.org info(a)areadne.org INTRODUCTION A fundamental problem in neuroscience is to understand how the activation of neuronal populations gives rise to higher order functions including learning, memory, cognition, perception, action and ultimately conscious awareness. Electrophysiological recordings have revealed considerable information about the firing patterns of single neurons, but it remains largely a mystery how collections of individual neurons interact to perform these functions. Understanding ensemble activity is critical to understanding the brain. CONFERENCE MISSION The AREADNE Conferences have been created to gather global scientific leaders who work on neural ensembles and establish a touch-point for the widely disparate and hybrid field. With a spectacular setting on Santorini, the conferences have been carefully planned to foster discussion and interaction between attendees to encourage the establishment of lasting professional relationships. The meetings continue our efforts to promote systems neuroscience in Greece through creating a world-class forum for cutting-edge research. For 2016, we will be Celebrating Ten Years of AREADNE Conferences! FORMAT AND SPEAKERS The conference will span four days, in morning and early evening sessions. Confirmed speakers include experts in the field of multi-neuron experiment, theory, and analysis (in alphabetic order): Michele Basso Matthias Bethge Rick Born Rosa Cossart James DiCarlo Alexander Ecker Lisa Giocomo Konrad Kording Matthew Larkum Albert Lee John Maunsell May-Britt Moser Stephanie Palmer Xaq Pitkow Michael Roukes Irini Skaliora Stelios Smirnakis Nelson Spruston Gina Turrigiano CALL FOR ABSTRACTS We are currently soliciting abstracts for poster presentation. Submissions will be accepted electronically, and must be received by 12 Feb 2016. Automated email acknowledgment of submission will be provided, and manual verification will be made a few days after submission. Notification of acceptance will be provided by 15 March 2016. Please see our Call for Abstracts page for additional details and submission templates: http://areadne.org/call-for-abstracts ORGANIZING COMMITTEE Dora Angelaki Nicholas Hatsopoulos, co-chair John Pezaris, co-chair Panayiota Poirazi Thanos Siapas Andreas Tolias FURTHER INFORMATION AND SPECIAL NOTE For further information on AREADNE 2016 please see the conference web site http://www.areadne.org or send email to info(a)areadne.org. Please note that the timing of the DENDRITES 2016 meeting (http://dendrites2016.gr) in Crete dovetails quite nicely with the AREADNE 2016 meeting in Santorini. -- Dr. J. S. Pezaris AREADNE 2016 Co-Chair Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

Dec. 22, 2015

Announcing Okinawa/OIST Computational Neuroscience Course 2016

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2016 Methods, Neurons, Networks and Behaviors June 13 - June 30, 2016 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 13th through June 30th, 2015 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 4 - February 5, 2016. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Erik De Schutter (OIST) • Sophie Deneve (École Normale Supérieure, France) • Kenji Doya (OIST) • Chris Eliasmith (University of Waterloo, Canada) • Tomoki Fukai (RIKEN BSI, Japan) • Michael Häusser (University College London, UK) • Yukiyasu Kamitani (ATR & Kyoto University, Japan) • Etienne Koechlin (École Normale Supérieure, France) • Bernd Kuhn (OIST) • Partha Mitra (Cold Spring Harbor, USA) • Astrid Prinz (Emory University, USA) • John Rinzel (New York University, USA) • Yoko Yazaki-Sugiyama (OIST) • more tba

Dec. 22, 2015

Fully funded postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London

by Alberto Paccanaro

[Apologies for cross-posting] Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London. The successful candidates will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position. The successful candidates will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology. The Department of Computer Science is located on Royal Holloway's pleasant campus (see http://www.royalholloway.ac.uk/) in Egham, just outside London. The position is for 30 months, full-time, beginning in the Spring 2016. The starting salary will be up to 37,743 GBP p.a. (about 57,000 USD), with annual increments. The position is funded by a joint BBSRC/NSF grant. Applicants should send a CV including a list of publications, a statement of research interests, and contact information of 3 referees electronically to alberto(a)cs.rhul.ac.uk If you wish to discuss details of the position, please contact Alberto Paccanaro at the same address. Alberto -- ===================================== Prof Alberto Paccanaro Department of Computer Science Royal Holloway, University of London Homepage: www.cs.rhul.ac.uk/~alberto Labpage: www.paccanarolab.org

Dec. 22, 2015

Re: [Comp-neuro] Postdoc position in Large-scale Neuronal Ensemble Recordings in Sensori-motor Cortices in Behaving Marmosets

by Nicho

A postdoctoral position is available starting as soon as possible to characterize the spatio-temporal organization of sensori-motor cortical activity at multiple spatial scales associated with upper limb movements of behaving marmosets.This project involves high density multi-electrode array recordings as well as calcium fluorescence imaging from motor and somatosensory cortical sites in marmosets performing natural arm and hand movements.Facilities include a fully equipped electrophysiological laboratory with three 128-channel acquisition systems for multi-electrode recording and stimulation, calcium fluorescence imaging microscopes, and camera-based and a 3D videofluoroscopy-based motion capture systems.Expertise in multi-site, behavioral electrophysiology and/or calcium imaging is preferred.A strong mathematical, computational, or engineering background is also desirable.Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology, University of Chicago, 1027 East 57^th Street, Chicago, IL 60637 or by e-mail to nicho(a)uchicago.edu <mailto:nicho@uchicago.edu>.

Dec. 21, 2015

PhD Position: Modelling Gait in People with Parkinson's Disease.

by Tsaneva-Atanasova, Krasimira

PhD in Modelling Gait in People with Parkinsons Disease. Primary supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> Secondary supervisors: Dr Mark Wilson (University of Exeter), Dr Victoria Goodwin (University of Exeter) Based within the EPSRC Centre for Predictive Modelling in Healthcare, a £2M initiative bringing together mathematicians, statisticians and clinicians, you will work on a project aiming to develop a data-driven mathematical modeling framework in order to study gait impairments in patients with Parkinson’s. Parkinson's is a progressive neurological condition that mainly affects people of 50 and over. One person in every 500 has Parkinson's, which equates to about 127,000 people in the UK. There's currently no cure, and the range of symptoms and how quickly they progress are different for everyone. The main symptoms of Parkinson's are tremor, rigidity and slowness of movement. Despite optimal medication therapy, many people with Parkinson’s still experience gait impairments. Gait impairments (e.g., freezing of gait) are associated with falls and fear of falling, and reduced quality of life. This studentship aims to further our understanding of the degenerative nature of the disease by taking a dynamical systems approach to modelling the coordination of locomotion (gait) from an individual perspective. While many studies have examined discrete gait measures (e.g. step length) it is likely that several gait malfunctions will interact and incur a simultaneous deterioration of stepping. A dynamical systems approach is particularly useful in predicting when and if this deterioration may cross a critical threshold; for example, triggering a freeze or a stumble. The first stage of this project will be to develop a model based on gait data we have already collected from 18 people with Parkinson’s. The second stage would be to collect additional data to test model’s predictions and refine and improve the model. This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2016. The studentships will provide funding for a stipend (currently £14,057 per annum for 2015/16), research costs of £3,000 and UK/EU tuition fees at Research Council rates for 3.5 years. Application Criteria Applicants should have or expect to achieve at least a 2:1 Honours degree, or equivalent, in Maths, Physics, Medicine, Natural Sciences or other numerate discipline. The closing date for applications is midnight on Monday 4 January 2016. Interview will be held at the University of Exeter is mid-late January 2016. For further information, or informal discussion about the position, please contact Prof Krasimira Tsaneva-Atanasova, e-mail: K.Tsaneva-Atanasova(a)exeter.ac.uk<mailto:K.Tsaneva-Atanasova@exeter.ac.uk>. Summary Application deadline: 4th January 2016 Value: £14,057 per annum plus UK/EU fees for eligible students (2015-16 rates) Duration of award: per year Contact: Postgraduate Research Office emps-pgr-ad(a)exeter.ac.uk<mailto:emps-pgr-ad@exeter.ac.uk> How to apply Please visit www.exeter.ac.uk/postgraduate/money/studentships/application/<http://www.exeter.ac.uk/postgraduate/money/studentships/application/> and complete the online web form. You will be asked to submit some personal details and upload a full CV, covering letter and details of two academic referees. Your covering letter should outline your academic interests, prior research experience and reasons for wishing to undertake this project. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

Dec. 21, 2015

Postdoctoral position

by Eran Mukamel

I would like to advertise the following opportunity in our group. Postdoctoral position in Computational Neuro-Epigenomics The UCSD Computational Neural Data and Dynamics Lab <http://brainome.ucsd.edu/> is seeking applications for a funded postdoctoral research position as part of our group’s studies of epigenomic regulation in brain cells. Our lab in the University of California, San Diego (UCSD) Cognitive Science department uses tools from bioinformatics and machine learning to analyze a variety of neural epigenetic processes. We have helped to identify unique forms of DNA methylation in neurons and glial cells, and we are working to understand the distribution, development and potential function of these epigenomic marks. Our theoretical and computational research group has close ties with experimental neurobiology and genomics labs in San Diego. More information about the lab is at http://brainome.ucsd.edu <http://brainome.ucsd.edu/>. Applicants should hold a Ph.D. (or expect to receive one shortly) and have a strong background in computational biology (e.g. computational neuroscience, bioinformatics), or physical science or engineering (e.g. math, physics, computer science, bioengineering) as well as a strong interest in fundamental genomic processes underlying neural development and cognition. Previous experience with genomic or epigenomic data analysis is helpful, but not necessary. To apply, please send the following to emukamel(a)ucsd.edu <mailto:emukamel@ucsd.edu>: - A cover letter describing your background, research interests and how they fit with our lab - Curriculum vitae - Contact information for 2-3 references - If available, a sample of scientific research, e.g. a manuscript, thesis, or other work product Salary will be commensurate with NIH rates. For inquiries or more information, please contact Eran Mukamel at the address above. Eran A. Mukamel Assistant Professor of Cognitive Science University of California, San Diego emukamel(a)ucsd.edu <mailto:emukamel@ucsd.edu> http://brainome.ucsd.edu <http://brainome.ucsd.edu/>

Dec. 21, 2015

Opportunities for Ph.D. Studentships

by Wong-Lin, Kongfatt

The Intelligent Systems Research Centre (ISRC) at Ulster University, UK, invites applications for 3-year Ph.D. studentships. A list of studentships offered for the year 2016 and the projects' details can be found at: http://www.compeng.ulster.ac.uk/rgs/showPhDProposals.php?ri=3. The computational neuroscience and neural systems research community at the ISRC focuses on both fundamental brain and behavioural sciences, and their applications, including clinical neuroscience and neural engineering. In particular, I have the available computational neuroscience projects available for 2016: 1. Dynamics of decision making in heterogeneous systems. http://www.compeng.ulster.ac.uk/rgs/displayPhDProposal.php?id=894&ri=3 2. Big data analytics and computational modelling in mental health. http://www.compeng.ulster.ac.uk/rgs/displayPhDProposal.php?id=893&ri=3 3. Computational neuromodulation. http://www.compeng.ulster.ac.uk/rgs/displayPhDProposal.php?id=892&ri=3 The application process for the Ph.D. studentship is opened with a closing date for applications on the 26th February 2016. All studentships, which are highly competitive, are expected to start in September 2016, and include tuition fees and an annual maintenance allowance for EU and non-EU students. All applicants should hold a first or upper second class honours degree (or equivalent) in an appropriate subject, such as computer science, engineering, physics, mathematics or neuroscience. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. If you wish to apply for a studentship, please follow the instructions at: http://www.compeng.ulster.ac.uk/rgs/guideForApplicants.php. Unless indicated, successful students will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams, including from the Biomedical Sciences Research Institute, Centre for Stratified Medicine, and external collaborators. The ISRC has recently established state-of-the-art functional brain mapping facility, and high performance computing facility for big data analytics. The ISRC is situated in the city of Derry~Londonderry, which received the City of Culture 2013 award. Please note that some studentship (DEL Awards) have restrictions on residence eligibility - see guidance notes for details. For further information, please contact me (k.wong-lin(a)ulster.ac.uk) ------------------- Dr. KongFatt Wong-Lin Intelligent Systems Research Centre School of Computing and Intelligent Systems Faculty of Computing and Engineering Ulster University http://isrc.ulster.ac.uk/kwonglin/contact.html ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Dec. 21, 2015

Open Position: Coordinator of the Smart Start Training Program

by Kerstin Schwarzwaelder

Dear colleagues, The Forschungszentrum Jülich GmbH <http://www.fz-juelich.de/portal/EN/Home/home_node.html> and theCoordination Site of the Bernstein Network Computational Neuroscience <http://www.nncn.de/en/the-network/Network-Partners/BCOS> are looking for a Coordinator of the Smart Start Training Program <http://www.nncn.de/en/study-training-options/smart-start>. Please find the announcement and online application system here <http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-291-EN…>. Application deadline: January 14, 2016 For inquiries regarding the position please contact Andrea Huber Broesamle (e-mail: andrea.huber(a)bcos.uni-freiburg.de) or Kristin Urbach (phone: +49 2461 61-9700) Best regards, Kerstin Schwarzwälder

Dec. 21, 2015

Job Vacancies in Singapore Institute for Neurotechnology (SINAPSE)

by Tasos_UPatras

Job Vacancies in Neuroinformatics The Cognitive Engineering Lab of Singapore Institute for Neurotechnology (SINAPSE) (http://www.sinapseinstitute.org/ <http://www.sinapseinstitute.org/>) is seeking to appoint one Research Fellow (RF) and one Research Assistant (RA) for a period of 1 year; (positions to be filled as soon as possible). Remuneration and benefits will be based in NUS standards and candidates’ qualifications and years in service. Research Topic · Our group is leading a project aiming to develop virtual reality (VR)-based brain augmentation systems including realistic VR based simulations and real-time brain states analysis. The simulation applications will be developed (in Unity3D Game Engineer) for virtual reality system to provide various stimuli. A remote EEG system will be used to monitor the brain activity in real time. · The aims of the study is to identify reliable and robust individual biomarkers of cognitive states for VR-based training scenarios and compare the training effects with traditional 2-Dimensional computer based simulations to understand if VR-based trainings lead to better user-experience and performance Scientific profile for the Research Fellow Position · Recent Ph.D. degree in Computer Science, Human-Computer Interaction or Cognitive Science · Publications in Computational Intelligence and Machine Learning Methods and/or Brain Computer Interaction with applications · Bachelor or Master Degree in Computer Science or Computer Engineering · Knowledge of experimental design in cognitive-related experiments Scientific profile for the Research Assistant Position · Bachelor or Master Degree in Computer Science or Computer Engineering · Experience of game research or game development (experience of VR preferred, both Oculus Rift and room-size VR) · Experience of Unity3D game engineer, proficiency in C++ or Javascript (experience with middleVR preferred) Personal profile · Good communication and English writing skills is essential · Interdisciplinary communication and team competence · Creative and highly self-motivated. Contact · Applications should include CV, statement of experience and motivation, and names of referees (for the RF position). Informal inquiries prior to application are welcome. Applications will be accepted until the positions are filled. · Applications should be sent, preferably as single pdf file by email, to prof Tassos Bezerianos (lsiba(a)nus.edu.sg <mailto:lsiba@nus.edu.sg>). Best Regards Tassos Anastasios(Tassos) Bezerianos, BS,MS,PhD prof. Electrical and Computer Engineering, NUS Head of Cognitive Engineering Lab SINAPSE , 28 Medical drive #05-COR , Singapore 117456 office:+65 66013054, cell:+65 97738374

Dec. 21, 2015

Columbia Workshop on Brain Circuits, Memory and Computation

by Aurel A. Lazar

Columbia Workshop on Brain Circuits, Memory and Computation BCMC 2016 <http://www.bionet.ee.columbia.edu/workshops/bcmc/2016> Friday and Saturday, March 18-19, 2016 Center for Neural Engineering and Computation <http://www.cnec.columbia.edu/> Columbia University, New York, NY 10027 Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2016> is being conducted in conjunction with the workshop. Confirmed Invited Speakers J. Douglas Armstrong <http://homepages.inf.ed.ac.uk/jda/index.html>, School of Informatics, University of Edinburgh. Alexander Borst <http://www.neuro.mpg.de/borst>, Max Planck Institute of Neurobiology, Martinsried. Thomas R. Clandinin <http://flyvisionlab.weebly.com/>, Department of Neurobiology, Stanford University. Michael Hawrylycz <https://alleninstitute.org/our-science/brain-science/about/team/staff-profi…>, Allen Institute of Brain Science Stanley Heinze <http://www.biology.lu.se/stanley-heinze>, Department of Biology, Lund University. Chung-Chuan Lo <http://life.nthu.edu.tw/~lablcc/>, National Tsing Hua University, Hsinchu, Taiwan. Matthieu Louis <http://www.crg.eu/en/matthieu_louis>, Centre for Genomic Regulation, Barcelona. Gaby Maimon <http://www.rockefeller.edu/research/faculty/labheads/GabyMaimon/>, Rockefeller University. Mala Murthy <http://www.molbio1.princeton.edu/labs/murthy/lab/Home.html>, Princeton University. Michael B. Reiser <https://www.janelia.org/lab/reiser-lab>, Janelia Research Campus, Ashburn, VA. Vanessa Ruta <http://www.rockefeller.edu/research/faculty/labheads/VanessaRuta/>, Rockefeller University. Glenn C. Turner <https://www.janelia.org/people/glenn-turner>, Janelia Research Campus, Ashburn, VA. Marta Zlatic <https://www.janelia.org/lab/zlatic-lab>, Janelia Research Campus, Ashburn, VA. Aurel http://www.bionet.ee.columbia.edu

Dec. 20, 2015

[Deadline Extended] 2016 IEEE EAIS - Natal, Brazil, 23-25 May 2016

by Teng Teck Hou

DEADLINE EXTENDED: Paper submission until 15 January 2016 (We apologize for multiple copies) - Please distribute this CFP among your colleagues and students 2016 IEEE International Conference on Evolving and Adaptive Intelligent Systems - 2016 IEEE EAIS Natal, Brazil, May 23-25, 2016 Website: http://eventos.ifrn.edu.br/eais2016 * IMPORTANT DATES * -------------------------------------------------------------- Special Session Proposals Deadline: 13 November 2015 Paper Submission Deadline: 15 January 2016 (Deadline extended!) Decision Notification: 19 February 2016 Final Paper Submission Deadline: 18 March 2016 Authors Registration Deadline: 18 March 2016 All accepted papers will be published in the conference Proceedings and IEEEXplore. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). Submission page: http://eventos.ifrn.edu.br/eais2016/instructions.html * CONTEXT * -------------------------------------------------------------- The 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (2016 IEEE EAIS) will be held in Natal (Brazil), a beautiful city located at the Brazil's northeast coast. It is the Brazilian closest capital to/from Europe and Africa. Natal has several tourist attractions and is famous for its natural beauty, for its historical monuments and buildings and for its gorgeous beaches. The city also boasts the second largest urban park in Brazil and was one of the host cities of the 2014 FIFA World Cup. 2016 IEEE EAIS will provide a friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in 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. 2016 IEEE EAIS is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. 2016 IEEE EAIS will be held for the first time in Latin America, however, 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) and Douai (France). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). * CALL FOR SPECIAL SESSIONS * -------------------------------------------------------------- Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of 2016 IEEE EAIS. Researchers interested in organizing special sessions are invited to submit a formal proposal at the website: http://eventos.ifrn.edu.br/eais2016/special.html * AREAS OF INTEREST * -------------------------------------------------------------- Areas of interest include, 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 - Online Genetic and Evolutionary Algorithms - Data Stream Mining - Incremental and Evolving Clustering Approaches - Adaptive Pattern Recognition - Incremental and Evolving ML Classifiers - Adaptive Statistical Techniques - Evolving Decision Systems - Big Data - Advanced Concepts Drifts and Shifts 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 and System Identification - EIS for Time Series Prediction - EIS for Data Stream Mining and Adaptive Knowledge Discovery - EIS in Robotics, Intelligent Transport and Advanced Manufacturing - EIS in Advanced Communications and Multi-Media Applications - EIS in Bioinformatics and Medicine - EIS in 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 * SUBMISSION REQUIREMENTS * -------------------------------------------------------------- Full papers - max. 8 pages IEEE style (double-column). * INTERNATIONAL PROGRAM COMMITTEE * ------------------------------------------------------------------ Plamen Angelov, Lancaster University, UK Dimitar Filev, Ford Motor Co., USA Nikola Kasabov, Auckland University of Technology, New Zealand * ORGANIZING COMMITTEE * ------------------------------------------------------------ Chair: Bruno Sielly Jales Costa, Instituto Federal do Rio Grande do Norte (IFRN), Natal, Brazil Co-chair: Luiz Affonso Guedes, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Brazil Publication Chairs: Igor Škrjanc, Slovenia Edwin Lughofer, Austria Local Arrangement Chairs: Arthur S. Medeiros, Brazil Marcus Fernandes, Brazil Clauber G. Bezerra, Brazil Allan M. Martins, Brazil Marcelo Damasceno, Brazil Web & Publicity Chair: José A. Iglesias, Spain Teng Teck Hou, Singapore Special Session Chair: Radu-Emil Precup, Romania Program Committee Chair: Bruno Sielly Jales Costa, Brazil Best regards, ------- Prof. Dr. Bruno Sielly Jales Costa IFRN - Campus Natal/Zona Norte IEEE Computational Intelligence Society IEEE Systems, Man, and Cybernetics Society

Dec. 20, 2015

[UKCI 2016] Updated Call for Papers

by Teng Teck Hou

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016 September 7-9, 2016, Lancaster, United Kingdom http://wp.lancs.ac.uk/ukci2016/ ########################################################### The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016 this year is being hosted by Lancaster University. UKCI is the premier UK event for presenting leading research on all aspects of Computational Intelligence. The aim of this Workshop is to provide a forum for the academic community and industry to share ideas about developing and using Computational Intelligence (CI) techniques, the new trends and to exchange views and ideas. CI is a rapidly expanding research field, attracting a large number of scientists, engineers and practitioners working in areas such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. A growing number of companies are employing CI techniques to improve previous solutions and to deal with new problems. These include evolving systems that allow high performance in spite of changes which are either external or internal to the system, thereby increasing the re-usability of developed systems. This also include smart, intelligent and autonomous systems, self-learning, self-adapting, self-calibrating and self-tuning. UKCI-2016 will take place in Lancaster House Hotel, located conveniently within the campus of Lancaster University, few miles from the city centre including Lancaster Castle. The city offers excellent transport links, with easy access to the M6, railway station and ferry links. Beyond the array of activities within the city, Lancaster is close to the Britain’s premier touristic area – Lake District, home to theatres, museums, Ashton Memorial and Williamson park. #################### Important dates ##################### - Special Session proposals: January 4th, 2016 - Paper submission: April 1st, 2016 - Notification of paper acceptance: June 15th, 2016 - Camera-ready submission: July 15th, 2016 ########################################################## #################### Plenary speakers #################### - Jose Principe, Distinguished Professor, University Of Florida, USA - Trevor Martin, Bristol University and Senior Researcher, British Telecom ########################################################## #################### Organizing committees ############### * Honorary Chair - Prof. Janusz Kacprzyk, Fellow Polish Academy of Sciences * General Chair - Prof. Plamen Angelov, Lancaster University * Programme Chairs - Prof. Qiang Shen, Aberystwyth University - Prof. Chrisina Jane, Robert Gordon University * Publication Chair - Dr. Alexander Gegov, Portsmouth University * International Liaison - Ms Azliza Mohd Ali, Lancaster University * Finance Chair - Ms Carol Airey, Lancaster University * Local Organisation Chairs - Dr. John Mariani, Lancaster University - Mr Richard Gnosill, Lancaster University * Publicity Chair - Dr. Teng Teck Hou, Singapore Management University * Awards Chair - Prof. Araceli Sanchis de Miguel, Carlos III University, Spain * Special Session Chair - Dr. Xiao Jun Zeng, Manchester University ########################################################## ############# Paper Submission and Publication ########### * Papers for UKCI 2016 should be submitted electronically through the Conference website at http://www.lancaster.ac.uk/fas/scc/sites/ukci2016/, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. * Selected papers will be considered for publication, following substantial extension, in a Special Issue of the Soft Computing Journal (Springer). ########################################################## #################### Awards ############################## * A best regular paper and a best student paper will be selected for this award * This best paper award consists of a plaque and a €200 honorarium * The best paper awards are sponsored by Springer ########################################################## ###### Topics and Areas include, but not limited to ###### Topics of interest include (but are not limited to) * Computational intelligence methodology * Computational intelligence for big data * Making Sense from Data (streams) * Knowledge representation * Fuzzy logic, fuzzy systems, approximate reasoning; * New Machine Learning Methodologies * Artificial Neural Networks * Evolutionary computation, swarm intelligence, artificial immune systems, memetic computing, Nature-inspired computing * New and emerging computational intelligence approaches from hybrid learning and systems, molecular and quantum computing * Software agents and multi-agent systems, intelligent control * Intelligent Video Analytics * Applications of computational intelligence techniques in engineering, healthcare, finances, (cyber)security, signal, image and video processing ########################################################## #################### Call for Special Session Proposals ######################### * UKCI-2016 will retain its traditional format of a single track with special sessions on selected “hot” topics. * Please email proposals for special sessions to ukci2016(a)lancaster.ac.uk by 4th January 2016 ########################################################## #################### Co-Sponsors ######################### * Springer * Department of Engineering and the School of Computing and Communications, Lancaster University ##########################################################

Dec. 20, 2015

Postdoctoral fellowship in statistical neuroscience at Boston University

by Mark Kramer

Postdoctoral fellowship in statistical neuroscience at Boston University A postdoctoral position is available for working in an NIH-funded BRAIN initiative project focused on understanding the computational principles and neural circuit mechanisms that underlie complex interactions across distributed circuits during brain function. The candidate will be responsible for developing data analysis and statistical modeling methods to characterize simultaneous LFP and spike train recordings from multiple brain regions during decision-making tasks. The successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research is preferred, although not essential. The position is based at Boston University in the labs of Uri Eden and Mark Kramer. The project is highly interdisciplinary and will involve frequent and extensive interactions with experimentalists at UCSF (Loren Frank) and Cold Spring Harbor (Adam Kepecs). Please contact Uri Eden or Mark Kramer (see links below) for more information. Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University. http://math.bu.edu/people/tzvi/ http://math.bu.edu/people/mak/

Dec. 20, 2015

[INNS-BigData 2016] Updated Call for Papers

by Teng Teck Hou

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 2nd INNS Conference on Big Data 2016 October 23-25, 2016, Thessaloniki, Greece http://conferences.cwa.gr/inns-big-data2016/ ########################################################### Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can't easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. This type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used on stored big data. Neural network technologies thus can become significant components of big data analytics platforms and this inaugural INNS Conference on Big Data will begin that collaborative adventure with big data and other learning technologies. Thus the aim of this conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). #################### Important dates ##################### - Tutorial and workshops proposals: February 15th, 2016 - Notification of tutorial and workshops proposals: February 20th, 2016 - Paper submission: April 30th, 2016 - Notification of paper acceptance: May 30th, 2016 - Camera-ready submission (AISC): June 11th, 2016 - Early registration: June 20th, 2016 Registration deadline: papers without confirmed registration by June 24th 2016 risk their inclusion in the proceedings ########################################################## #################### Invited speakers #################### - Francesco Bonchi, ISI Foundation, Torino, Italy - Stephen Furber, University of Manchester, UK - Rudolf Kruse, OVG University of Magdeburg, Germany - Piotr Mirowski, Google Deep Mind, London, UK ########################################################## #################### Organizing committees ############### General Chairs - Plamen Angelov, Lancaster University, UK - Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece Program Chairs - Lazaros Iliadis, Democritus University of Thrace, Greece - Asim Roy, Arizona State University, Tempe USA - Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil Advisory Board - Nikola Kasabov, Auckland University of Technology, New Zealand - Ali Minai, University of Cincinnati, USA - Danil Prokhorov, Toyota Tech Center, Michigan, USA - Theodore Trafalis University of Oklahoma, USA - G. Kumar Venayagamoorthy, Clemson University, USA Tutorials/Workshop Chairs - Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece - Bernardete Ribeiro, Portugal Poster Session Chairs - Yi Lu Murphey, University of Michigan-Dearborn, USA Special Sessions Chairs - Irwin King, Chinese University of Hong Kong, China - Luca Oneto, University of Genoa, Italy Panel Chairs - Leonid Perlovsky, Harvard University, Boston, USA Awards Chair - Araceli Sanchis de Miguel, Carlos III University, Spain Competitions Chairs - Adel Alimi, University of Sfax, Tunisia Publication Chairs - Mariette Awad, American University of Beirut, Lebanon - Danilo Mandic, Imperial College, London, UK Publicity Chairs - Jose Antonio Iglesias Martinez, Carlos III University of Madrid, Spain - Simone Scardapane, The Sapienza University of Rome, Italy - Teck Hou Teng, Singapore Management University, Singapore International Liaison Chairs - Petia Georgieva, University of Aveiro, Portugal - De-Shuang Huang, Tongji University, Shanghai, China Local Organizing Committee: - Anastasios Gounaris, Aristotle University of Thessaloniki, Greece WebMaster - Yannis Karydis, Ionian University, Greece ########################################################## ############# Paper Submission and Publication ########### * Original works submitted as a regular paper limited to a maximum of 14 pages in Springer format will be published in the proceedings to be available electronically as a Springer book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates. * It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. * At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. ########################################################## #################### Awards ############################## * Best papers will be selected and awarded as follows: - Best regular paper - Best student paper * This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel. * Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate. ########################################################## ###### Topics and Areas include, but not limited to ###### * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud ########################################################## #################### Co-Sponsors ######################### * International Neural Network Society (INNS) * Springer ##########################################################

Dec. 20, 2015

CFP: VECPAR 2016 - High Performance Computing for Computational Science

by Carlos Ferreira

------------------------------------------------------------------------------------------ CALL FOR PAPERS 12th International Meeting on High-Performance Computing for Computational Science (VECPAR 2016) University of Porto, Porto, Portugal June 27 - 30, 2016 http://vecpar.fe.up.pt/2016/ ------------------------------------------------------------------------------------------- IMPORTANT DATES: Deadline for submission: January 15th, 2016 notification of acceptance: March 3rd, 2016 camera ready version: April 25th, 2016, on easychair.org. The International Meeting on High Performance Computing for Computational Science (VECPAR) is the premier venue for presenting and discussing the latest research and practice in high end computer modeling and complex systems. VECPAR encourages submission of research contributions from academia, research laboratories and industry to address pressing issues in computational science resulting from applications of interest to society and hardware innovations. VECPAR'16, the 12th edition of the VECPAR series of conferences is organized by the University of Porto, Portugal, and will be held at the Department of Computer Science, School of Sciences. An award is planned for best student papers. Contributions are solicited in all areas of computational science and engineering (CS&E), including (but not limited to) the following topics: * Large scale Simulations in CS&E * Parallel and Distributed Computing * Parallel Algorithms * Numerical Algorithms on Multicore, GPUs and Emerging Architectures * Symbolic algorithms on Multicore, GPUs and Emerging Architectures * Support Tools and Environments * Scheduling and Load Balancing * Performance Analysis, Evaluation and Tuning You should make your submissions through EasyChair at: https://www.easychair.org/conferences/?conf=vecpar2016 Submitted papers must be formatted according to the rules of the Springer Series Lecture Notes in Computer Science (LNCS): http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Please note that papers (for conference presentation) must not exceed 8 pages in length, using the LNCS format. Accepted papers will be distributed in electronic format to participants of VECPAR'16. Printed versions of the invited talks and a set of selected papers will be published by Springer in the series entitled Lecture Notes in Computer Science. Selected papers will be limited to 14 pages and will be judged based on relevance, significance, originality, correctness and clarity. More information about this process will be sent to interested authors after the conference. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt<http://www.isep.ipp.pt>

Dec. 18, 2015

[Call for applications] *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; 6 PhD scholarships; deadline March 15, 2016

by Robert Martin

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2016* Begin of courses: October 2016 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *6 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... come and visit us on our *information day* on January 27, 2016, at 3 PM (sharp) at the BCCN Berlin: https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3822 ... or browse: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

Dec. 18, 2015

CFP on "Computationally Intelligent Methods in Neural Information Processing" at the IEEE WCCI2016.

by Mufti Mahmud

Sorry for cross-posting. Please consider circulating and contributing to the session. Thanks and regards, Mufti *Call for Paper for Special Session on * *Computationally Intelligent Methods in Neural Information Processing* *at the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2016* Organized by: Mufti Mahmud 1-4, €, Amir Hussain 4, 5, £ 1*NeuroChip Lab, University of Padova, 35131 – Padova, Italy, *2*Institute of Information Technology, Jahangirnagar University, 1342 – Dhaka, Bangladesh, *3*Theoretical Neurobiology & Neuroengineering Lab, University of Antwerp, 2610 – Wilrijk, Belgium, *4*COSIPRA Lab, University of Stirling, FK9 4LA – Stirling, UK, *5*Anhui University, Hefei, Anhui, 230601 - China* €*Email: muftimahmud(a)gmail.com <muftimahmud(a)gmail.com>, *£*Email: ahu(a)cs.stir.ac.uk <ahu(a)cs.stir.ac.uk>* *Introduction:* The brain, being the most complex organ in human body, is specialized to process information simultaneously coming from many different sources. The neurons work as basic information processing units in the brain and interconnect to each other to form hierarchical and/or parallel pathways. These pathways are mainly involved in transforming information originated from one or more sources into either action (as in motor movements) or specialized information understood by the brain itself (as in cognitive functions). To have a detailed and better understanding of these biological phenomena two approaches have been practiced by the research community – experimental and theoretical studies. Also, some theoretical studies are inspired by the nature itself which reframes earlier computational techniques to suggest research on biophysical basis of brain research and its information processing capabilities. Needless to say that most of these studies are results of interdisciplinary research involving medical sciences, life sciences, physical sciences, engineering, and cognitive sciences. *Scope:* The focus of this special session is to address the recent advances in computationally intelligent techniques in processing neural information. Developing intelligent methods capable of deciphering brain’s information processing capability is one the biggest challenges in brain research. The objective of this special session is to provide updated information and a forum for the scientists and researchers who are looking for more relevant information in decoding brain functions using expert and computationally intelligent systems. This special session is expected to attract papers on recent research progress in the area of intelligent methods in processing neural signals. The targeted research topics are, but not limited to, the following: Ø Computationally intelligent tools for analysis of Spikes, LFP, EEG, MEG, MRI/fMRI, PET, and fNIRS; Ø Computationally intelligent methods for modeling and estimating neural signals; Ø Computational intelligence in developing smart BMI and neural prosthesis; Ø Biologically inspired methods for pattern analysis in neuronal signals; Ø Machine learning methods applied to brain research; *Submission of papers:* Submit IEEE US Letter complaint pdf papers to IEEE CEC 2016, following the steps below: Ø Visit http://ieee-cis.org/conferences/cec2016/upload.php Ø Provide paper details (i.e., Paper Title, Author(s), PDF file to upload, Abstract, Preferred form of presentation, Main paper focus) Ø At '*Main research topic*' or '*Additional research topics'*, select '*8bc. Computationally Intelligent Methods in Neural Information Processing*' from the dropdown list. *Important dates:* Ø Paper submission deadline: *15 January 2016* Ø Decision notification: *15 March 2016* Ø Final paper submission and early registration deadline: *15 April 2016* Ø Conference dates: *25-29 July 2016*. -- Mufti Mahmud, PhD Postdoctoral Research Fellow NeuroChip Lab <http://www.vassanellilab.eu/> - Dept. of Biomedical Sciences <http://www.biomed.unipd.it/?L=1> University of Padova Via f. Marzolo 3 35131 - Padova, Italy Lab: +39 049 827 5308 Fax: +39 049 827 5301 https://sites.google.com/site/muftimahmud/ & Assistant Professor (on leave) Institute of Information Technology Jahangirnagar University Savar, 1342 - Dhaka, Bangladesh

Dec. 17, 2015

Fwd: EANN 2016 CFP Scotland

by Chrisina Jayne

Dear Colleague, The 17th International Conference on Engineering Applications of Neural Networks will take place in Aberdeen, Scotland, between *2nd-5th September 2016* (EANN 2016 – http://www.eann.org.uk/eann2016/index.php) The INNS (International Neural Network Society) is the primary sponsor of EANN. Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere. The proceedings of the conference will be published in *Springer CCIS Series*. Extended contributions will also be considered for publication in a *Special Issue of Neural Computing and Applications Journal (Springer)*. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory. All application areas are relevant. Novel contributions related to deep learning and application of neural networks to data science applications are encouraged. The deadline for paper submission is *20th April 2016*. Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panellists who have made a commitment to participate. A mix of industry and academic panel members is recommended. Proposals for 90-minute tutorials are also invited on topics within the conference area. Tutorial proposals must be at most 5 pages, they must identify the intendedaudience, and they must give enough material to provide a sense of what will be covered. Full CFP is available at http://www.eann.org.uk/eann2016/cfp.php Important deadlines are available at http://www.eann.org.uk/eann2016/timeline.php If you have any questions please email Chrisina Jayne at ( c.p.jayne(a)rgu.ac.uk) Best wishes, Prof Chrisina Jayne and Prof Lazaros Iliadis Programme Chairs for EANN2016

Dec. 17, 2015

4 faculty positions: Centre for Cognitive Science at Technische Universitaet Darmstadt

by Constantin Rothkopf

Technische Universität Darmstadt is establishing a Centre for Cognitive Science and invites applications for 4 tenured professorships. The Centre’s research programme will be based on computational and engineering approaches to Cognitive Science, with strong interactions with the engineering departments. Research methodologies will include, but are not limited to, theoretical studies, human experimental work, cognitive engineering applications, the use of big data, and ubiquitous sensing. The professorships are to be filled in the Department of Human Sciences (Institutes of Psychology and of Sports Science) and in the Department of Computer Science, and will complement and interact with the existing research activities in Cognitive science at Technische Universität Darmstadt. The four positions are to be filled in the following areas: 1) One professorship (W2/W3) in the Institute of Sports Sciences in the area Sensorimotor Control & Learning 2) two professorships (W2/W3) in the Institute of Psychology in the areas Perception, Decision Making & Preference or Models of Higher Cognition (e.g. reasoning, natural language, learning and memory), 3) and one professorship (W3) in the Department of Computer Science in the areas Machine Learning or Biosignal Processing (e.g. prosthetics, brain-computer interface). Successful appointees are expected to contribute to teaching in the study programme for cognitive science, which is currently being developed, and to the undergraduate and graduate level courses of their respective departments. The positions are tenured with a remuneration package commensurate with experience and qualifications, following the German "W-Besoldung". The regulations for employment are specified under §§ 61 and 62 HHG (Hessisches Hochschulgesetz). The Technische Universität Darmstadt intends to increase the number of female faculty members and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. The Technische Universität Darmstadt is certified as a familiy-friendly university and offers a dual career program. Applications should include a curriculum vitae, list of publications, copies of relevant diplomas, as well as a research and teaching statement, preferably all in a single PDF file. Applications for the positions in the Institute of Sport Science and the Institute of Psychology should be directed to the Dean of the Department of Human Sciences, Professor Frank Hänsel (dekanat(a)humanw.tu-darmstadt.de) applications for the position in Computer Science should be directed to the Dean of the Department of Computer Science, Professor Reiner Hähnle (dekanat(a)informatik.tu-darmstadt.de) It is possible to apply for several of the positions. Please include the code number of the position(s) you apply for. Informal enquiries may be addressed to Professor Constantin Rothkopf (Tel +49 6151 16-76084; rothkopf(a)psychologie.tu-darmstadt.de) or Professor Jan Peters (Tel +49-6151-16-7351; peters(a)ias.tu-darmstadt.de) For further information please also visit www.cogsci.tu-darmstadt.de. Code No. 489 (Sensorimotor Control) Code No. 490 (Perception, Decision Making & Preference, Models of Higher Cognition) Code No. 491 (Machine Learning, Biosignal Processing) Application deadline: January 31, 2016 -- Constantin A. Rothkopf, PhD Technical University Darmstadt & FIAS phone: +49 6151 16-76084 http://www.pip.tu-darmstadt.de/ mailto:rothkopf@psychologie.tu-darmstadt.de

Dec. 17, 2015

PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth & Barcelona Universities

by Emili Balaguer-Ballester

PhD position in computational neuroscience. "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions? Bournemouth University-IDIBAPS". A PhD position is available in 3-years fully-funded project "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions"; based at Bournemouth University (UK) https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize. The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona http://www.sanchez-vives.org/. Applicants holding a degree in Physics, Mathematics, Engineering, Computer Science or similar disciplines are welcome. Interest or previous training in neuroscience or laboratory experience and a strong mathematical or machine learning background would be very welcome. The researcher will be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory in the context of the interdisciplinary group for neurosciences; and will spend prolonged periods of time in the Cortical Networks Lab (IDIBAPS, Barcelona) led by Prof. Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For formally applying and more information please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-facul… Please Cc your application to eb-ballester(a)bournemouth.ac.uk For further details please do not hesitate to contact me any time: eb-ballester(a)bournemouth.ac.uk: Twitter: @emilibalball; http://dec.bournemouth.ac.uk/staff/ebb/ Kind regards, Emili BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

Dec. 17, 2015

Workshop "modeling the early visual system" in Paris, January 19-20th

by Olivier Marre

INTRODUCTION Do we know what the early visual system does? This question was the topic of a workshop at the SFN meeting ten years ago. Over the last decade, there has been tremendous progress in understanding the computations performed in the visual system, and how they are implemented by the neural circuitry. The purpose of this workshop is to gather both theoreticians and experimentalists in the field to take stock and debate about the current challenges when trying to understand the computations performed by the early visual system, and how they result from both bottom-up and top-down processes. CONFIRMED SPEAKERS Philipp Berens, University of Tuebingen, Germany Laura Busse, University of Tuebingen, Germany Matteo Carandini, UCL, UK Frédéric Chavane, INT, Marseille, France Karl Farrow, NERF, Belgium Yves Frégnac, UNIC laboratory, CNRS, Gif sur Yvette, France Charles Gilbert, Rockefeller University, New York, USA Tim Gollisch, University of Gottingen, Germany Peter Neri, Ecole Normale Supérieure, Paris, France Elad Schneidman, Weizman Institute of Science, Israel Andreas Tolias, Baylor College of Medicine, Austin, USA Shimon Ullman, Weizman Institute of Science, Israel REGISTRATION This workshop will take place in the European Institute for Theoretical Neuroscience ( http://www.eitn.eu/ ), Paris, January 19th and 20th. Registration is free but mandatory. We have a few slots for posters that will be presented during the meeting. If you are interested in presenting a poster. For registration and/or abstract submission, please refer to the workshop website: http://eitnconf-190116.sciencesconf.org/ On behalf of the organizing committee, Olivier Marre Institut de la Vision F-75012 Paris

Dec. 17, 2015

International Conference on Mathematical Neuroscience (ICMNS) 2016

by Zachary Kilpatrick

We would like to remind you about… The 2nd International Conference on Mathematical Neuroscience (ICMNS 2016) at the Congress Center in Juan-les-Pins on the French Riviera May 29 to June 1, 2016 Tutorials: May 29 Main Conference: May 30 - June 1 https://icmns2016.inria.fr/ <https://icmns2016.inria.fr/> One page abstracts will be reviewed by a Program Committee and divided into three categories: featured talks, session talks, and posters. https://icmns2016.inria.fr/call-for-contributions/ <https://icmns2016.inria.fr/call-for-contributions/> The abstract submission deadline is January 7, 2016. Meeting registration will open shortly thereafter. Questions should be directed to the conference email: icmns2016-contact(a)inria.fr <mailto:icmns2016-contact@inria.fr> CONFIRMED SPEAKERS Wulfram Gerstner (École polytechnique fédérale de Lausanne) John Rinzel (New York University) Antoine Triller (École Normale Supérieure de Paris) Rachel Kuske (U British Columbia) Jonathan Rubin (U Pittsburgh) Hinke Osinga (U Aukland) Carina Curto (Penn State University) Ruben Moreno-Bote (Foundation Sant Joan de Deu) Hiroya Nakao (Tokyo Institute of Technology) Eric Shea-Brown (U Washington) Si Wu (Beijing Normal University) Alex Roxin (Centre de Recerca Matematica) PROGRAM COMMITTEE Toni Guillamon (Universitat Politècnica de Catalunya) Roland Potthast (U Reading) Gregory Faye (Université Paul Sabatier ) Wilhelm Stannat (TU Berlin) Jonathan Touboul (College de France) Gilles Wainrib (Ecole Normale Supérieure) Suzanne Ditlevsen (University of Copenhagen) Boris Gutkin (Ecole Normale Supérieure) Martin Wechselberger (U Sydney) Jonathan Rubin (U Pittsburgh) Martin Krupa (INRIA Sophia Antipoilis) Carlo Laing (Massey University) Andre Longtin (U Ottawa) Daniele Avitabile (U Nottingham) Jose Carrillo (Imperial College) Pascal Chossat (Université Nice Sophia Antipolis) Carson Chow (National Institutes of Health) Steve Zucker (Yale University) Eric Shea-Brown (U Washington) Rachel Kuske (U British Columbia) Laura Sacerdote (Universita di Torino) Reinhard Hopfner (Johannes-Gutenberg Universitat) Olivier Faugeras (INRIA - Sophia Antipolis) Paul Bressloff (U Utah) Steve Coombes (U Nottingham) CONFERENCE CHAIRS Romain Veltz (INRIA - Sophia Anitpolis) Zachary Kilpatrick (U Houston) Evelyn Buckwar (Johannes Kepler Universitat Linz) We hope to see you in Juan-les-Pins! All the best Romain, Zack, and Evelyn

Dec. 17, 2015

NeuronUnit/NeuroML & Modeling Postdoctoral Research Position at ASU

by Sharon Crook

ARIZONA STATE UNIVERSITY An Equal Opportunity/Affirmative Action Employer Postdoctoral position in Computational Neuroscience and Neuroinformatics (Job #11446) We are soliciting applications for a postdoctoral position in the Laboratory for Informatics and Computation in Open Neuroscience at Arizona State University. This laboratory, jointly supervised by Dr. Sharon Crook and Dr. Rick Gerkin, focuses on developing resources for the community for describing, validating and sharing computational models in neuroscience. In addition, lab personnel conduct empirical and modeling studies in order to investigate fundamental questions in neuroscience. The successful candidate will contribute to the development and use of tool chains for model validation and model exchange that revolve around NeuronUnit and NeuroML. The postdoctoral researcher also will have the opportunity to choose the direction of their own modeling studies. Applicants must provide evidence of excellence in sustainable software development, experience in applications in neuroscience, and should also be highly independent, with a strong propensity for interdisciplinary research. Candidates must hold a PhD in neuroscience, computer science, applied mathematics, computational neuroscience or a related discipline by time of appointment and be highly motivated and creative. Experience with some combination of Python, XML, MySQL, Ruby on Rails, and NEURON is desirable. Named the #1 Most Innovative University in the US, Arizona State University offers an exciting research environment in a unique setting. ASU is located in Tempe, Arizona, which offers many rich cultural and outdoor opportunities with access to mountains and canyons visited by people from around the world. All applications must be submitted online through mathjobs at https://www.mathjobs.org/jobs/jobs/8375 and must include the following: 1) A detailed CV 2) Two recommendation letters 3) A statement of research interest Any questions should be sent by email to Dr. Sharon Crook (sharon.crook(a)asu.edu) and Dr. Rick Gerkin (rgerkin(a)asu.edu) Initial review of applications will begin January 15, 2016; if not filled, applications will be reviewed every two weeks thereafter until the search is closed. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, religion, national origin, protected veteran status, or any other basis protected by law. https://www.asu.edu/aad/manuals/acd/acd401.html https://www.asu.edu/titleIX/.

Dec. 16, 2015