- Comp-neuro - lists.cnsorg.org

Postdoctoral positions in model-based fMRI and brain-inspired AI at KAIST
by Sang Wan Lee 30 Jul '16

30 Jul '16

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Postdoctoral Position in Sensory Coding
by Daniel A. Butts 29 Jul '16

29 Jul '16

Postdoctoral Position in Sensory Coding Applications are invited for a postdoctoral position in the Neuroscience Theory Research Group of Dan Butts at the University of Maryland, in suburban Washington DC. Our lab studies how visual perception is constructed across the visual hierarchy, and involves a diversity of projects at the interface of experiment and computation/theory. The postdoctoral position will focus on a collaboration between our lab and that of Bruce Cumming (NIH), studying how neurons that represent the center-of-gaze (fovea) process visual stimuli, which includes accounting for the effects of eye movements. There will also be opportunities to get involved in several other ongoing projects in the lab, as well as in the Cumming lab at NIH (nearby). See our webpage for more information: http://neurotheory.umd.edu We are seeking a researcher with a strong quantitative training as well as broad knowledge of neuroscience, ideally with past work studying problems linked with neurophysiology. The position is available starting immediately, and we are reviewing applications as they come. Please email Dan Butts with a CV, a brief description of your relevant education and research experience, and a list of colleagues that are willing to submit a letter of recommendation. [Letters will be requested for applications with the best fit.] For more information, please see our webpage (above), and please feel free to write Dan Butts. -------------------------------- Daniel A. Butts, Ph.D. Associate Professor Department of Biology and Program in Neuroscience and Cognitive Science University of Maryland, College Park USA http://neurotheory.umd.edu

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Ph.D. Scholarships in “Cognitive Dependable Cyber Physical Systems” -- Brandenburg University of Technology
by Douglas Cunningham 29 Jul '16

29 Jul '16

The Brandenburg University of Technology Cottbus - Senftenberg will launch new thematic clusters in the Graduate Research School (GRS) as part of the strategy to strengthen the research profile of BTU. Thematic clusters are flexible units that shall contribute to the creation of critical masses in the core research areas of BTU. At the same time they are an important instrument of promoting young researchers. Against this backdrop the BTU will establish in October 2016 the thematic cluster “Cognitive Dependable Cyber Physical Systems“ (CD - CPS). Successful applicants are expected to begin their research in October 2016 and the scholarship will be tenable for 36 months. The amount of the scholarship is 1,200 euros per month. The GRS will also offer child support for Ph.D. students with children. Successful candidates will have access to additional funding of the GRS for their doctoral research (e.g. mobility grants etc.). Doctoral studies may be organized within a program of structured doctoral studies towards a “Ph. D. in Dependable Hardware / Software Systems”. Optionally, doctoral students may work towards a “Dr.-Ing.” or a “Dr. rer. nat” degree. The cluster’s research focuses on technical systems that have the ability to perceive, interpret, think, and act intelligently and reliably. These systems need cognitive abilities, such as extracting and interpreting information from complex, noisy, and possibly incomplete data –- often coming from different types of sensor. This information also must be integrated with existing knowledge in order to make informed decisions which guide the system’s behavior, including about how to interact with humans. One critical system function is to monitor system parameters in order to make decisions regarding dependability, reliability, safety, and security. This can help achieve a high degree of “error resilience”. These systems must be trustworthy, dependable, and reliable, especially since they are increasingly being embedded in many aspects of everyday life. The cluster works closely with the Leibniz Institute for Innovative Micorelectronics (IHP). Additional Information about the cluster and the funding program can found at website of the GRS: <www.b-tu.de/researchschool/> . Applicants should have successfully completed a degree in Electrical Engineering, Computer Science/Informatics, Cognitive Science or a related field. Although the language of working environment and the dissertation is usually German, English is also possible with the consent of the advisor. In addition to the usual application materials (letter of application, CV or résumé, copies of academic degrees), all applicants should send a letter of motivation and a research proposal. The research proposal should be no more than 5 pages, be based on one of the proposed Ph.D. topics listed on the Cluster’s GRS website, and describe past experience or work in the area. Please note that the cluster only accepts complete applications. The application deadline is August 15, 2016. For further information or to submit your application (preferably via email as one PDF), please contact: Prof. Dr. Douglas W. Cunningham BTU Cottbus - Senftenberg Tel.: +49 (0) 355 69 3816 E-Mail: douglas.cunningham(a)b-tu.de

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PhD Studentship in Computational Neuroscience - Ulster-Oxford Collaboration
by Wong-Lin, Kongfatt 27 Jul '16

27 Jul '16

Applications are invited for a Research Challenge Fund PhD studentship in Computational Neuroscience tenable in the Faculty of Computing and Engineering at Ulster University, UK. This PhD project, based on a recently awarded UK BBSRC project, is a collaboration between Ulster University and Oxford University on the development of an advanced and realistic computational model of neuronal circuit involves in emotional learning. For more information, please refer to: https://www.ulster.ac.uk/__data/assets/pdf_file/0011/95519/BBSRC-2016-2017-… The computational neuroscience and neural systems research community at the Intelligent Systems Research Centre (ISRC) at Ulster University focuses on both fundamental brain and behavioural sciences, and their applications, including clinical neuroscience and neural engineering. The successful PhD candidate will benefit from the expertise of Ulster's computational neuroscience and machine learning community, and will interact closely with collaborators at Oxford University. The application process for the Ph.D. studentship is opened with a closing date for applications on the 26th August 2016. All applicants should hold a first or upper second class honours degree (or equivalent) in Computer Science, Mathematics, Physics, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate's qualifications, skills, experience and interests. Successful candidates will enrol as of 1st October 2016, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The studentships, which are highly competitive, will comprise fees together (Home/EU Rate) with an annual stipend of £14,296 and will be awarded for a period of up to three years' subject to satisfactory progress. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. If you wish to apply for this studentship, please follow the instructions and procedures at: https://www.ulster.ac.uk/research-and-innovation/phdresearch-degrees/how-to… and https://srssb.ulster.ac.uk/PROD/bwskalog.P_DispChoices Successful students will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams, the Biomedical Sciences Research Institute, Centre for Stratified Medicine, and other collaborators. The ISRC is situated in the city of Derry~Londonderry, which received the City of Culture 2013 award. If you wish to discuss your proposal or receive advice on this project, please contact: Dr. KongFatt Wong-Lin (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

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IBRO-Simons Computational Neuroscience Imbizo, Cape Town - application deadline.
by Alexander Antrobus 27 Jul '16

27 Jul '16

Dear all, this is a quick reminder that the deadline for the isiCNI is approaching quickly! *IBRO SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO* 9 - 28 January 2017, Muizenburg Beach Cape Town, South Africa http://isicni.gatsby.ucl.ac.uk <http://isicni.gatsby.ucl.ac.uk/><http://isicni.gatsby.ucl.ac.uk/> *Applications deadline: 31st July 2016* The #isiCNI2017 is a (southern hemisphere) summer school aiming to promote computational neuroscience in Africa by bringing together international and local students under the tutelage of world-leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects decided with the students and focus on the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is aimed at graduate students and postdoctoral fellows from various disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics, psychology and biology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. *Essential details:* * Generous scholarships and travel stipends are available. Successful African applicants will likely be fully subsidised. * Fee (which covers tuition, lodging, and meals): 1000 EUR * Application deadline: 31 July 2016 * Notification of results: September 2016 *Information and application* http://isicni.gatsby.ucl.ac.uk <http://isicni.gatsby.ucl.ac.uk/><http://isicni.gatsby.ucl.ac.uk/> <http://isicni.gatsby.ucl.ac.uk/ <http://isicni.gatsby.ucl.ac.uk/><http://isicni.gatsby.ucl.ac.uk/>> *POSTER DOWNLOAD:* http://tinyurl.com/isiCNI2017 <http://tinyurl.com/isiCNI2017><http://tinyurl.com/isiCNI2017> (please distribute this is you can) *Imbizo* \?m'bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. *DIRECTORS* Peter Latham (Gatsby Unit for Computational Neuroscience, University College London, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) *FACULTY* Larry Abbott - Columbia University Emery Brown - Harvard University / MIT Nando deFreitas - Google DeepMind Adrienne Fairhall - Washington University Surya Ganguli - Stanford University Wulfram Gerstner - EPFL Lausanne Peter Latham - University College London Timothy Lillicrap - Google DeepMind Mate Lengyel - University of Cambridge Eve Marder - Brandeis University Joseph Raimondo - University of Cape Town Yiota Poirazi - Foundation for Research and Technology - Hellas Srikanth Ramaswamy - EPFL Lausanne Rajnish Ranjan - EPFL Lausanne Tim Vogels - University of Oxford Daniel Wolpert - University of Cambridge Special Guests: Alyssa Piccini Schaffer - Simons Foundation Arthur Wingfield - Brandeis University *Local Organiser:* Alex Antrobus (isicn.imbizo(a)gmail.com<mailto:isicn.imbizo@gmail.com> <mailto:isicn.imbizo@gmail.com><mailto:isicn.imbizo@gmail.com> <mailto:isicn.imbizo@gmail.com <mailto:isicn.imbizo@gmail.com><mailto:isicn.imbizo@gmail.com>>) -- Disclaimer - University of Cape Town This e-mail is subject to UCT policies and e-mail disclaimer published on our website at http://www.uct.ac.za/about/policies/emaildisclaimer/ or obtainable from +27 21 650 9111. If this e-mail is not related to the business of UCT, it is sent by the sender in an individual capacity. Please report security incidents or abuse via csirt(a)uct.ac.za

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Postdoctoral positions in model-based fMRI and brain-inspired AI at KAIST
by Sang Wan Lee 26 Jul '16

26 Jul '16

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Workshop on brain stimulation for neuro-prosthetic applications
by David Rotermund 25 Jul '16

25 Jul '16

We would like to invite you to participate in our excellence workshop "Naturalistic integration of information from external stimulation into ongoing neuronal activities of the brain". It will take place October 20-23, 2016 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen), Germany. The invited main speakers are Costas Anastassiou, Sliman Bensmaia, Anythony N. Burkitt, Ilka Diester, Jannis Hildebrandt, Eduardo Fernandez Jover, Andreas Kreiter, Kristine Krug, Walter Lang, Mikhail A. Lebedev, Thomas Lenarz, Hubert H Lim, Tobias Moser, Klaus Obermayer, Ramesh Rajan, Christopher J. Rozell, Mohamad Sawan, Alessandro Vato, Günther Zeck, Eberhart Zrenner. A preliminary program can be found under http://www.nncn.de/en/news/events/11th-bernstein-sparks-workshop As you might know quite well from your own experience, it is a huge problem to interface with the brain and to successfully introduce artificial, meaningful signals into on-going neural information processing. On the other hand, exciting possibilities in medical and fundamental research are waiting to be explored and to be realized. This workshop will address major challenges in this field: * Ideas and technologies for improving functional neuro-prostheses. Besides presenting general advances, we will specifically focus on artificial vision and hearing, and on building better prosthetic limbs providing touch sensation feedback * Using causal interference with neural processing as a tool for understanding how the brain works and processes information * Establishing stimulation protocols and designing algorithms for providing external information with dynamics matching spatio-temporal activation patterns observed under 'normal' conditions, encoded in a format that the brain can 'understand'. Our workshop will bring together experimentalists, technologists, medical scientists, and theoreticians who are the experts in getting meaningful signals into neuronal circuits actively engaged in information processing. The workshop will provide a platform allowing you to present your work and to have discussions with other researchers (especially from other disciplines, who use different methods or work on other areas of the brain) about putative solutions for solving this puzzle. Besides the talks of the main speakers with plenty of time for discussions there will be a poster session. Participation in the workshop will be limited to about 60 attendees (20 main speakers, 40 postdocs + PhD students) on a first come first serve basis. In case you are interested in participating, we would ask you to send your reply to _<mailto:ajanssen@neuro.uni-bremen.de>ajanssen(a)neuro.uni-bremen.de_. In order to cover all costs, may we ask for a registration fee in the amount of € 60,00 (€ 40,00 for Bernstein members) for PhD students and € 120,00 (€ 80,00 for Bernstein members) for postdocs/professors. You will understand that we cannot cover your costs for accommodation and travelling. The meeting is part of the "Bernstein Sparks Workshops series" and will be supported and partly financed by the Deutsche Forschungsgemeinschaft (DFG) and the Bernstein Coordination Site (BCOS) of the Bernstein Network Computational Neuroscience. Further support and financing is provided by the "Hanse-Wissenschaftskolleg Institute for Advanced Study" ( http://www.h-w-k.de/index.php?id=2213 ). Yours sincerely Udo Ernst and David Rotermund

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Registrations open for Neuromechanics 2016, Oct. 4-6, Heidelberg, Germany
by Manish Sreenivasa 25 Jul '16

25 Jul '16

*International Symposium on the Neuromechanics of Human Movement* 4-6 October 2016, Heidelberg, Germany Online Registration: http://orb.iwr.uni-heidelberg.de/neuromechanics2016/register/ ------------------------------------------------------------------------------------------- The Neuromechanics 2016 symposium is targeted at researchers working in the field of computational neuroscience, biomechanics, clinical gait analysis and rehabilitation robotics. An interesting cross-section of researchers from these fields will present talks and posters at this event: http://orb.iwr.uni-heidelberg.de/neuromechanics2016/speakers/ Some of the topics related to this symposium are: - Neuromechanics and its role in motor control - Modeling of efferent and afferent pathways - Neural and muscular synergies - Neural control of multi-muscle, multi-joint movements - Neuromuscular human-machine interfaces - Neural control for robotics applications - Translational research: From models/experiments to clinical applications The symposium is planned as a 2.5 day single-track event with a focused gathering of researchers and ample time for discussions in formal and informal settings. Total number of participants is limited to about 60, due to the venue facilities. Interested participants are requested to register soon due to the possibility of running out of available spaces! -- Dr. Manish Sreenivasa Optimization in Robotics & Biomechanics Interdisciplinary Center for Scientific Computing University of Heidelberg Berlinerstr. 45 | 69120 Heidelberg | Germany Tel: +49-6221-54-14874 Web: orb.iwr.uni-heidelberg.de/people/manish

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Competitive travel grants: ELSC retreat, January 2017
by Yoram Burak 24 Jul '16

24 Jul '16

Please distribute to whoever may be interested. Thanks, Yoram --- *Competitive travel grants: ELSC retreat, January 2017* We'd like to reach out through you to advanced PhD students in your institute who may be interested in a fully supported travel opportunity to join us at the Annual Retreat of our Brain Center (ELSC) in the Desert Resort of Ein Gedi at the end of January 2017. The Edmond and Lily Safra Center for Brain Sciences (ELSC) at the Hebrew University of Jerusalem is an ambitious scientific venture, building upon Hebrew University’s record of excellence and innovation in its multidisciplinary approach to brain science. At ELSC, researchers work collaboratively, covering the full spectrum of neuroscience research (for more information, see http://elsc.huji.ac.il/science/scientists) ELSC is offering up to 20 competitive travel grants for advanced PhD students to attend ELSC's 2017 annual retreat and present their work. Last year’s program can be seen via the following link: http://elsc.huji.ac.il/content/elsc-retreat-2016 Candidates are required to send their CVs, together with letters of intent and recommendation to: elsc-retreat(a)elsc.huji.ac.il by November 1, 2016. ELSC invites selected attendees to extend their visit, at our expense, and spend 2-3 days visiting ELSC labs, exploring opportunities for a postdoctoral internship and collaborations. We will be delighted to assist with the necessary arrangements. See also: http://elsc.huji.ac.il/content/elsc-retreat-2017 Many Thanks! The organising committee. ___ Yoram Burak The Hebrew University of Jerusalem, Racah Institute of Physics | Edmond and Lily Safra Center for Brain Sciences p: +972-2-6585837/84523 w: http://elsc.huji.ac.il/burak a: Danciger B 103, Safra Campus, Jerusalem 91904, Israel

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workshop Cortona (Italy), September 12-16, 2016
by thierry nieus 23 Jul '16

23 Jul '16

Dear colleagues, it is my pleasure to announce the workshop: NeuroMath, Mathematical and Computational Neuroscience: cell, network and data analysis, that will take place in Cortona (Italy), September 12-16, 2016. We have an extensive list of confirmed speakers, experts in their field. These talks will span over several branches of the Neuroscience field with a common focus on the quantitative and mathematical questions lying behind the scientific questions. The workshop will bring together mathematicians, engineers, physicists and biologists and hopefully this will foster discussions across different research fields. The list of confirmed speakers is: http://www.mat.unimi.it/users/naldi/NeuroMath/ISpeakers.html We will allocate some slots for posters (e.g. Tuesday & Friday evening) and oral communications (10-25’, along the days). The accepted abstract will appear in the Springer INdAM series (http://www.springer.com/series/10283) A financial support can be provided for the stay at the meeting upon explicit request together with the submission of an abstract. Conference details: - Registration to the workshop is free but required - Conference registration starts on September 11, 2016 - Early registration deadline: August 31, 2016 - Web page: http://www.mat.unimi.it/users/naldi/NeuroMath/ - Latest news: http://rgs.mat.unimi.it/other-events Hope to see you there! Sincerely The organizing committee: Giovanni Naldi (Dept of Mathemtics, UNIMI, Milano) Thierry Nieus (Istituto Italiano Tecnologia, Genoa) Claudio Canuto (Politecnico of Turin).

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Postdoctoral Fellow/Associate - Pruszynski/Diedrichsen
by Andrew Pruszynski 22 Jul '16

22 Jul '16

Dr. Andrew Pruszynski (www.pruszynskilab.com) and Dr. Jörn Diedrichsen ( www.diedrichsenlab.org) are looking to hire a postdoctoral fellow/associate in sensorimotor neuroscience. The incumbent will help develop and lead a project involving a mix of non-human primate neurophysiology and computational neuroscience, including (1) large-scale neural recordings in sensorimotor cortex during complex reaching and grasping actions and (2) biologically-realistic neural networks (done in collaboration with Dr. Timothy Lillicrap, Google Deepmind). The incumbent must have a PhD in Neuroscience (or related area) and a strong track record with single-cell electrophysiology in primates as witnessed by excellent peer-reviewed publications; a strong computational background, particularly experience with machine learning, is also desired. Our labs are located at the Brain and Mind Institute (w ww.uwo.ca/bmi) and the Robarts Research Institute (www.robarts.ca) , both at Western University in London, Canada. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 30 Principal Investigators and 200 trainees. Further details about working as a postdoctoral fellow/associate at Western University and about living in London, Canada can be found here: www.grad.uwo.ca/postdoctoral_scholars/prospective/index.html. Annual salary depends on level of experience but will be no less than $45,000 per year. Funding is available for up to 5 years. Start date is negotiable but ideally would be no later than January 2017. Reimbursement for moving expenses will be available. Applications marked with reference number AP-CIHR-PDF-2016 should be submitted electronically as a single PDF file to andrew.pruszynski(a)uwo.ca. The application deadline is September 15th, 2016. Please include all the following components: 1. A personal statement describing research interests, experience, and goals (<2 pages) 2. A complete curriculum vitae 3. Names and contact information of three references

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Postdoc Position Available in Deep Learning for Vision at RIT
by Christopher Kanan 21 Jul '16

21 Jul '16

One postdoctoral position is available in the laboratory of Christopher Kanan at the Rochester Institute of Technology (RIT), in Rochester, NY. The lab specializes in applying machine learning algorithms to solve problems in computer vision and related fields. The candidate will be responsible for developing new algorithms for the detecting manipulated and tampered images. They will also work on adversarial networks for image generation and related techniques. Requirements: Ph.D. in computer science or related field; A research record in computer vision and/or machine learning; Familiarity with deep learning The position is initially for one year, but is renewable upon strong performance for an additional year. The salary is significantly above the typical postdoctoral market rate. Applications should be sent by email to ( christopher.kanan(a)rit.edu) and should include a CV, the expected data of availability, and contact information for two references. The starting date is September 2016. *About the lab*: http://klab.cis.rit.edu/ About Rochester, NY Rochester is the third largest city in the U.S. state of New York. The quality of life in the area is excellent. It has a low cost of living and some of the best K-12 public schools in the US.

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Fwd: Job Advertisement - Postdoctoral Research Associate in Neurophysics and Brain Dynamics
by Paula Sanz-Leon 21 Jul '16

21 Jul '16

Postdoc position at the University of Sydney ---------- Forwarded message ---------- From: Cindy Guy <cindy.guy(a)sydney.edu.au> Date: Wed, Jul 13, 2016 at 8:51 AM Subject: Job Advertisement - Postdoctoral Research Associate in Neurophysics and Brain Dynamics To: "brain(a)physics.usyd.edu.au" <brain(a)physics.usyd.edu.au>, " complexity-usyd(a)googlegroups.com" <complexity-usyd(a)googlegroups.com> *Please pass this on to anyone you think may be interested.* Link – Live Advertisement <http://sydney.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplicat…> *Closing date: 15 August 2016* POSTDOCTORAL RESEARCH ASSOCIATE IN NEUROPHYSICS AND BRAIN DYNAMICS *Postdoctoral Research Associate in Neurophysics and Brain Dynamics* *ARC Centre of Excellence for Integrative Brain Function School of Physics Reference no. 1100/0616 * *Up to 3 positions studying multiscale, emergent, nonlinear, and critical phenomena in the brain* - *Full-time, fixed term for three years, with further offers available subject to performance, funding and need remuneration package: up to $112K pro rata p.a. which includes leave loading and up to 17% super)* - *The opportunity to work in the Brain Dynamics Group* Applications are sought for up to three Postdoctoral Research Associates (Level A) in the School of Physics and the Australian Research Council Centre of Excellence for Integrative Brain Function (CIBF). This is an opportunity to work in the Brain Dynamics Group of Professor Peter Robinson on projects in the area of his Laureate Fellowship on the Physical Brain and/or research in the area of the CIBF. His group also participates in the Cooperative Research Centre for Alertness, Safety, and Productivity, and the NHMRC-funded Centre for Research Excellence, Neurosleep, and has wide collaborations across the University, Australia, and internationally. The successful applicants will form a team to work on a wide variety of theoretical and computational topics in multiscale, emergent, nonlinear, and critical phenomena in the brain, starting from a physical perspective, with particular focus on nonlinear and stochastic dynamics of brain activity waves, modes, and networks. Key applications will be pursued under the laureate program that involve vision, seizures, imaging, and network evolution; others will be in the CIBF’s focal areas of attention, prediction, and decision. Successful applicants will also be expected to collaborate with interdisciplinary teams of theoreticians and experimentalists to advance these projects. *Essential criteria include:* - an undergraduate major in physics, applied mathematics, or similar field - a theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field; thesis must have at least been submitted for examination by the time of any interview for this position. - demonstrated ability to program in Matlab or C++ - proved research ability and evidence of self-motivation and research potential, including the ability to conduct research activities under limited supervision - publications in refereed journals *Desirable criteria include:* - familiarity with background areas such as quantum theory, fields, networks, Green functions, critical phenomena, wave theory, control systems, and/or nonlinear dynamics - demonstrated ability to relate theoretical predictions to experimental data and vice versa - experience in brain modelling or computational neuroscience - experience with neural field theory - experience with modelling physical or biological systems - experience in multidisciplinary teams - an ability to start work by 31 January 2017. Since a team is being built, the initial appointment process will begin by appointing the most suitable\person; the remaining people will then be assessed with regard to the areas that remain to be covered by the team as a whole, particularly as no one person is expected to possess the full range of skills described above. The position is full-time fixed term for three years, subject to the completion of a satisfactory probation period for new appointees and satisfactory performance as assessed at the end of the second year. Further offers may be available subject to performance, funding and need. Applications that make a case for a part-time position will also be considered, especially where this advances the Equal Opportunity goals of the University or if the applicant is of unusual merit. This appointment will be for three years with potential for extension subject to ongoing funding. The School of Physics supports a flexible working environment. Subject to visa restrictions, applications will be considered for either a full-time or part-time appointment to this position. -- You received this message because you are subscribed to the Google Groups "Centre for Complex Systems at The University of Sydney" group. To unsubscribe from this group and stop receiving emails from it, send an email to complexity-usyd+unsubscribe(a)googlegroups.com. To post to this group, send email to complexity-usyd(a)googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/complexity-usyd/8AC55DD7-57C5-49A3-B830-7… <https://groups.google.com/d/msgid/complexity-usyd/8AC55DD7-57C5-49A3-B830-7…> . For more options, visit https://groups.google.com/d/optout.

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PhD Scholarships in complex networks & info theory at USyd
by Joseph Lizier 18 Jul '16

18 Jul '16

Dear all, (Apologies for cross-posting) Two PhD scholarships are available to study with Dr. Joseph Lizier in an Australian Research Council DECRA funded project ("Relating function of complex networks to structure using information theory"), within the Complex Systems Research Group in the Faculty of Engineering and IT at The University of Sydney. Both projects involve studying the relationship between complex network structure and dynamics, in terms of information processing. The approach will primarily use information theory (e.g. transfer entropy), with applications to neural data sets: 1. "Inferring information network structure from dynamics" -- http://bit.ly/1SZdnim 2. "Describing network and information processing co-development" -- http://bit.ly/24mp8Vq For any questions, please contact Dr. Lizier (joseph.lizier(a)sydney.edu.au) The closing date for applications is August 14, with the successful candidate to start by Feb 2017 or earlier. Please forward to any interested parties. Regards, --joe -- Dr. JOSEPH LIZIER | ARC DECRA Fellow | Senior Lecturer Complex Systems Research Group Faculty of Engineering and IT THE UNIVERSITY OF SYDNEY Rm 338A, Building J05 | The University of Sydney | NSW | 2006 T+61 2 9351 3208 | F+61 2 9351 3343 | M+61 408 186 901 E joseph.lizier(a)sydney.edu.au | W sydney.edu.au TW @jlizier | W lizier.me/joseph CRICOS 00026A This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited. If you receive this email in error, please delete it and any attachments. Please think of our environment and only print this e-mail if necessary.

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Neuroscience Gateway Workshop at SFN 2016 meeting
by Ted Carnevale 18 Jul '16

18 Jul '16

Using the Neuroscience Gateway Portal for Parallel Simulation Saturday, Nov. 12 from 9 AM to noon at a site in downtown San Diego This workshop combines didactic presentations and hands-on instruction on how to use the Neuroscience Gateway Portal (NSG) for computationally intensive simulations and data analysis. NSG eliminates most technical and adminstrative barriers to using high performance computing resources, and even gives away free CPU time on parallel supercomputers. Software currently installed on NSG includes Brian, GENESIS, MOOSE, NEST, NEURON, PyNN, Freesurfer, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 28, but you should sign up early because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html for more information and a link to the registration form. --Ted

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NEURON course at SFN 2016 meeting
by Ted Carnevale 18 Jul '16

18 Jul '16

Using NEURON to Model Cells and Networks Friday, Nov. 11 from 9 AM to 5 PM at a site in downtown San Diego This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reactive diffusion with the RxD class. The registration deadline for this course is Friday Oct. 28, but you should sign up early because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/sd2016/sd2016.html for more information and a link to the registration form. --Ted

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Subject: Postdoctoral position in computational neuroscience
by Szabolcs Káli 15 Jul '16

15 Jul '16

Applications are invited for a postdoctoral research position in the Laboratory of Cerebral Cortex Research at the Institute of Experimental Medicine of the Hungarian Academy of Sciences. The institute, located in the center of Budapest, is dedicated to biomedical research in the field of neuroscience, hosts a variety of world-class research groups, and was awarded the title “Centre of Excellence” by the European Commission. The laboratory, led by Prof. Tamás Freund, employs a multidisciplinary approach to investigate the generation of normal and pathological patterns of network activity in the hippocampus, the roles of subcortical inputs in cortical information processing, and the molecular mechanisms of synaptic transmission. The successful candidate will work with Dr. Szabolcs Káli on developing detailed biophysical models of hippocampal neurons and circuits in the context of a large-scale initiative for collaborative work in computational neuroscience. The aim of the project is (1) to further the understanding of the dynamics and computational capabilities of cortical cells and networks, and (2) to create a generic framework and corresponding tools for the reproducible, collaborative development, simulation, and validation of data-driven neural models. The successful applicant is expected to contribute to both aspects of the project, developing morphologically and biophysically detailed models of different types of hippocampal neurons, and constructing anatomically and physiologically faithful models of hippocampal circuits. The work will take advantage of the neuroinformatics, brain simulation, and high-performance computing infrastructure developed by the European Human Brain Project, and the holder of this post is expected to make significant contributions to testing an integrative platform for model development, representation, optimization, and validation. He/she will work closely with experimentalists within the group who provide anatomical and physiological data, and is expected to coordinate model and tool development with collaborators at leading European institutions. The job also offers ample opportunities to develop and maintain contacts with members of the wider (experimental and modeling) community. We are looking for an individual holding a PhD in computational neuroscience (or related discipline), with a keen interest in applying theoretical and simulation tools to understanding neural information processing. The position requires an ability to work independently, but also as a member of a large international research team. The applicant should be able to communicate effectively in English, both in speech and in writing. We also expect the successful candidate to have experience in at least some of the following areas: - developing cellular or network models using neural simulation software (such as Neuron) - analysis of anatomical and/or electrophysiological data sets - programming (in Python, MATLAB, etc.) and collaborative software development - advanced parameter optimization methods (such as evolutionary algorithms) The position is available from September 1, 2016 (the exact starting date is flexible) until March 31, 2018 in the first instance, with the possibility of renewal. The salary is according to local scales for postdoctoral positions in EU-funded projects, and depends on relevant experience. Review of applications will start on August 10, but applications are accepted until the position is filled. Applications should contain a CV, a brief letter of interest, and two references, and should be sent to Szabolcs Káli (kali(a)koki.hu) Informal inquiries about the post are also welcome. -------------------------------------------------------- Szabolcs Káli Laboratory of Cerebral Cortex Research Institute of Experimental Medicine Hungarian Academy of Sciences H-1083 Budapest Szigony utca 43. Phone: +36-1-2109413 Fax: +36-1-2109412 E-mail: kali.szabolcs(a)koki.mta.hu www.koki.mta.hu

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Call for participation "From Single Neurons to Brain Complexity and Human Behavior" Research Topic (Frontiers)
by PRWTOPAPA FWTEINH 14 Jul '16

14 Jul '16

Dear potential authors on the comp-neuro mailing list, [Apologies for cross-posting]In collaboration with Frontiers in Computational Neuroscience, we are organizing a Research Topic titled "From Single Neurons to Brain Complexity and Human Behavior", hosted by Constantinos Siettos, Jens Starke, Konstantinos Michmizos, Foteini Protopapa, Nikolaos Smyrnis. As host editor, I would like to encourage you to contribute to this topic. Please find more information below: Web site: http://frontiersin.org/Computa tional_Neuroscience/researchto pics/From_Single_Neurons_to_ Brain_Complexity_and_Human_ Behavior/5116Deadlines for this Research Topic are: Oct 01, 2016 (Abstract) and Feb 01, 2017 (Manuscript)Description: During brain data acquisition, from the neural to the behavioral scale, the targeted brain function is typically secluded from the influence of other brain functions. Such an approach results in data acquired at a single spatial and temporal scale of the brain and limits the analysis and understanding of the intrinsically multiscale and parallel brain functions. This calls for a paradigm shift from examining the brain as a monolithic structure to examining –and interacting with– the brain holistically. The proposed Research Topic aims to attract papers that will form a new computational infrastructure resource by combining novel integrative methods in Computational Neuroscience. Specifically, the research focus will be on: 1) The development of new methods and algorithms that can deal with multiscale dynamics and integrate data from synchronized behavioral and neural activity; and 2) The improved understanding of the neural dynamics in behavioral states. The understanding of brain functionality across its scales will have an unprecedented health, social and financial impact. The proposed Research Topic will host advanced mathematical modeling efforts and computational approaches that seek to understand how the interplay among cellular, anatomical and neuronal connectome empowers complex brain functions such as vision, attention, memory, learning and emotion. Tools include, but are not limited to, linear and nonlinear time series analysis of single unit recordings, EEG, MEG, fMRI and PET as well as multiscale modeling and analysis of neuronal systems dynamics, causal connectivity analysis (Granger-based, Phase Synchronization, Mutual Information, Transfer Entropy etc), manifold and machine learning methodologies for handling data complexity (PCA, ICA, ISOMAP, Diffusion Maps) etc. We seek to present research efforts that bridge the bottom-up and top-down approaches. A bottom-up research includes modelling the dynamics of neurons and/or networks of neurons to approximate the complex emergent behavior whereas a top-down research would try to reveal how macroscale phenomena observed in integrative EEG, MEG or fMRI signals can be used to infer about the brain organization and ultimately explain the underlying functional mechanisms. Specific areas of interest include but are not limited to: the reconstruction of functional networks that govern the information flow of the brain signals, the identification of distinct spatio-temporal patterns that can suggest the mechanisms of specific higher cognitive functions, and the modeling and analysis of resting-state activity. We will try to cover studies targeting the healthy brain as well as studies targeting neurologic and psychiatric disorders in adults (such as epilepsy, Parkinson’s disease Schizophrenia and other Psychotic disorders) and/or in children and adolescents (such as child epilepsy and autistic spectrum disorders). Let us know if you have any questions about this Research Topic. We look forward to hearing from you soon. With best regards, Constantinos Siettos (ksiet(a)mail.ntua.gr) Associate Professor at National Technical University of Athens (NTUA), Greece.and Foteini Protopapa, Ph.D. ( fwteini104(a)gmail.com ) Research Associate at EPIPSI, Greece.

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4 PhD / PostDoc positions in the Institute of Neural Information Processing, Ulm University, Germany
by Daniel Braun 13 Jul '16

13 Jul '16

In the *Institute of Neural Information Processing* of the Faculty of Engineering, Computer Science and Psychology of Ulm University there will be *4 PhD / PostDoc positions in the field of Learning Systems* from October 2016 in the newly established research group on “Learning Systems”. The group is interested in the mathematical foundations of intelligent behavior in cognitive systems, including both biological and artificial systems, in particular the information-processing principles underlying learning and decision-making. This requires a combined theoretical and experimental approach. In our theoretical line of work we use methods from machine learning, statistics, physics, information theory and decision theory to investigate the effects of limited resources on learning and decision-making (“bounded rationality”). In our experimental line of work we investigate sensorimotor behavior in humans by using virtual reality technology and robotic interfaces to study learning and decision-making quantitatively under controlled conditions. This interdisciplinary approach unites aspects from both basic and applied research. On a basic level we aim at a quantitative understanding of embodied intelligence, in particular the emergence of cognition from sensorimotor interactions by processes of abstraction and structure learning. On an applied level we are interested in both autonomous robotic systems and human-machine-interactions, as sensorimotor learning and decision-making in artificial systems constitute a cutting-edge technical challenge. The research group is supported by the ERC-project BRISC (Bounded Rationality in Sensorimotor Coordination) https://erc.europa.eu/projects-and-results/erc-funded-projects/BRISC funded by the excellence programme of the European Research Council, in which we aim at a novel information-theoretic understanding of sensorimotor interactions in psychological and technical systems. Previous publications of the group can be found under http://www.kyb.tuebingen.mpg.de/research/rg/braun.html Ulm University with its more than 10,000 students is Baden-Württemberg’s youngest university. It offers attractive career prospects in a highly innovative research, teaching and work environment at the same time facilitating the reconciliation of work and family life. Embedded within the novel international “Cognitive Systems”-Master’s course, the research group “Learning Systems” is part of the university’s priority programme on human-machine-interaction. Beyond the university, there are plenty of opportunities to cooperate within the SFB Transregio 62 and with international partners in Great Britain and the United States. The applicants should have a strong mathematical background, hold a Diploma or Master’s degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in artificial and natural intelligence. The positions are paid according to German tariff TV-L E13. Exceptional candidates with a Bachelor’s degree can also be considered, albeit with an individual pay scale regulation. The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. The positions will be filled as soon as possible. Candidates should send a CV, a brief statement of interest and a copy of their highest degree to Prof. Dr. Dr. Daniel Alexander Braun daniel.braun(a)uni-ulm.de . -- Prof. Dr. Dr. Daniel Alexander Braun Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology University of Ulm James-Franck-Ring D-89081 Ulm Germany phone: +49 (0)731 50 - 24151 <%2B49%20%280%29731%2050%20-%2024158> fax: +49 (0)731 50 - 24156 email: daniel.braun(a)uni-ulm.de

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POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo 11 Jul '16

11 Jul '16

Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with pharmacologically resistant epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience, modeling of stochastic neural dynamics and experiments involving closed-loop electrical stimulation. Related recent publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Ph.D. positions in computational neuroscience at ESI
by Martin Vinck 09 Jul '16

09 Jul '16

The laboratory of Dr. Martin Vinck at the *Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society *is seeking candidates for Ph.D. positions. Students will work on two classes of problems. First, we aim to solve various methodological / neurostatistical problems for offline and on-line, closed-loop analysis of multivariate neuroscience datasets. Second, we are developing models of visual cortex in order to test specific hypotheses about the relationship between cortical dynamics and computation. PhD students will work together with experimental neuroscientists and apply methods and models to experimental datasets from primate and rodent animal models, including electrophysiological and calcium imaging data. We are primarily looking for students with training in a quantitative discipline (physics, engineering, computer science etc.). Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck(a)esi-frankfurt.de Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references. The advertisement will be valid until positions are filled. Dr. Martin Vinck martin.vinck(a)esi-frankfurt.de Research Group Leader Ernst Struengmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society Deutschordenstr. 46, D-60528 Frankfurt am Main, Germany

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PhD/postdoc positions at Ernst Struengmann Institute for Neuroscience
by Martin Vinck 09 Jul '16

09 Jul '16

Our laboratory at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society is seeking candidates for Postdoc and Ph.D. positions. Projects involve the application of parallel, large-scale electrophysiological recording techniques of single units and EEG in combination with closed-loop optogenetic manipulation methods to investigate mechanisms of information encoding and transmission in mice brains. We are particularly interested in the way in which the brain efficiently encodes information, and the way in which sensory predictions established in higher areas influence sensory representations in earlier sensory areas. We are furthermore interested in investigating the role of GABAergic interneurons in selective attention and neuronal oscillations. We address these questions using laminar recordings in combination with optogenetics in mice, as well as through the development of novel tools for the quantitative analysis of large-scale electrophysiological data. Within the ESI, tight collaborations exist with the lab of Prof. Dr. Pascal Fries. Because we are searching for members that can strengthen an interdisciplinary team, we are encouraging students/researchers with a background either in biological/medical sciences or in physics/engineering/mathematics/etc. to apply. The ideal PhD or postdoc candidate has previous experience and strengths either in 1) performing hands-on experimental work and electrophysiological recordings or 2) hardware engineering and quantitative analysis of large-scale data. We are searching for applicants with good communication skills and a high commitment and curiosity about neuroscientific questions. Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck(a)esi-frankfurt.de Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained (only for PhD candidates), and the names of at least two scientists who can give references. The advertisement will be valid until positions are filled. Dr. Martin Vinck martin.vinck(a)esi-frankfurt.de Research Group Leader Ernst Struengmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society Deutschordenstr. 46, D-60528 Frankfurt am Main, Germany

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Tenured Junior Research/Teaching Faculty Position in Computational Neuroscience at Ecole Normale Superieure in Paris, France
by Boris Gutkin 08 Jul '16

08 Jul '16

Tenured Junior Research/Teaching Faculty Position in Computational Neuroscience at Ecole Normale Superieure in Paris, France A tenured junior faculty position is expected to open in the Department of Cognitive Studies (DEC) at the ENS-Paris. The position profile is broad, focusing on computational neuroscience. The recruited candidate will join the Group for Neural Theory, which is part of the Laboratory for Cognitive Neuroscience,DEC, ENS Paris. The candidate is expected to have a strong background in theoretical neuroscience and/or computational neuroscience. The candidate is expected to develop an active research program and integrate into the GNT. Teaching in neuroscience and computational neuroscience shall be done at the ENS within the cognitive sciences masters program. The Laboratory for Cognitive Neuroscience provides opportunities to develop a collaborative research program in computational neuroscience of decision making. Further collaborative opportunities exist within the department and local laboratories involved in electrophysiology and/or psychophysics. The next cycle of recruitment for a Junior Faculty position in computational neuroscience shall be announced in the spring of 2017. In order to apply for the position candidates need to pre-qualify with the National University Council. The deadline for the pre-qualification is in October 2016. Help with putting together the application shall be given to potential candidates who should contact mc.comp.gnt(a)gmail.com

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Special Issue of Applied Soft Computing on Non-iterative Approaches in Learning
by Teng Teck Hou 08 Jul '16

08 Jul '16

Special Issue of Applied Soft Computing (Elsevier) (Impact Factor: 2.8) Submission is open now Special Issue on Non-iterative Approaches in Learning (Includes comparisons with iterative methods) Call for Papers http://www.journals.elsevier.com/applied-soft-computing/call-for-papers/spec ial-issue-on-non-iterative-approaches-in-learning-includ/ Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning are solved by iterative methods which generate a sequence of improving approximated solutions with some termination criteria. These methods usually suffer from low convergence rate and are sensitive to parameter settings (such as learning rate/step size, maximum number of iterations). On the other hand, non-iterative solutions, which are usually presented in closed-form manner, are in general computationally faster than iterative solutions. However, comparative studies with iterative methods are also welcome. The main focus of this special issue is to present the recent advances in non-iterative solutions in learning. Original contributions and surveys are welcome. The special issue aims to promote non-iterative concepts in the field of learning. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special issue aims to bridge this gap. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special issue will cover some industrial applications, present some new ideas and identify directions for future studies. The topics of the special issue include, but are not limited to: * Methods with and without randomization * Regression, classification and time series * Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. * Feedforward, recurrent, multilayer, deep and other structures. * Ensemble learning * Moore-Penrose pseudo inverse, SVD and other solution procedures. * Non-iterative methods for large-scale problems with and without kernels * Theoretical analysis of non-iterative methods * Comparative studies with competing iterative methods * Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas Submission format and Guidelines Papers will be evaluated based on their originality, presentation, relevance and contribution to the development of non-iterative methods, as well as their suitability and the quality in terms of both technical contribution and writing. The submitted papers must be written in good English and describe original research which has not been published nor is currently under review by other journals or conferences. If used, the previously published conference papers should be clearly identified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Guest Editors will make an initial determination on the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed of such cases. Author guidelines for preparation of manuscript can be found at http://www.journals.elsevier.com/applied-soft-computing/ Manuscripts should be submitted online at: http://ees.elsevier.com/asoc/ Applied Soft Computing Journal is well indexed. Its impact factors are 2.8 (2 years) and 3.2 (5 years). Important dates Manuscript submission: 15th Aug 2016 Revised version submission: 31st Jan 2017 Acceptance notification: 31st March 2017 Expected Publication: Mid 2017 Guest Editors Dr P N Suganthan, Nanyang Technological University, Singapore. epnsugan(a)ntu.edu.sg Prof. Sushmita Mitra, Indian Statistical Institute, India. sushmita(a)isical.ac.in Dr Ivan Tyukin, Department of Mathematics, University of Leicester, UK. I.Tyukin(a)le.ac.uk

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IEEE CIDM 2016
by Friedhelm Schwenker 06 Jul '16

06 Jul '16

CALL FOR PAPERS Paper Submission Deadline: July 18, 2016 IEEE CIDM 2016 IEEE Symposium on Computational Intelligence and Data Mining December 6-9, 2016, Athens, Greece SSCI 2016:http://ssci2016.cs.surrey.ac.uk/CIDM.htm CIDM 2016:http://neuro.informatik.uni-ulm.de/CIDM2016/ IEEE CIDM 2016 organized by the IEEE Computational Intelligence Society Data Mining Technical Committee is part (one of 30 symposia) of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2016). IEEE CIDM 2016 will bring together researchers and practitioners from around the world to discuss the latest advances in the field of computational intelligence applied to data mining and will act as a major forum for the presentation of recent results in theory, algorithms, systems and applications. Topics related to all aspects of data mining, such as theories, algorithms, systems and applications, particularly those based on computational intelligence technologies, are welcome; these include, but are not limited to: • Neural networks for data mining • Evolutionary algorithms for data mining • Fuzzy sets for data mining • Data mining with soft computing • Foundations of data mining • Mining with big data • Classification, Clustering, Regression • Association • Feature learning and feature engineering • Machine learning algorithms • Multimedia data mining • Text mining • Link and graph mining • Social media mining • Collaborative filtering • Crowd sourcing • Personalization • Security, privacy and social impact of data mining • Data mining applications Important Dates • Paper submission: July 18, 2016 • Notification to authors: September 12, 2016 • Final submission: October 10, 2016 • Early registration: October 10, 2016 Co-Chairs Carlotta Domeniconi, Georg Mason University, USA Friedhelm Schwenker, Ulm University, Germany Zhi-Hua Zhou, Nanjing University, China -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Postdoctoral position in Computational Neuroscience at IIT (Italy)
by Stefano Panzeri 05 Jul '16

05 Jul '16

(apologies for cross posting) We are seeking candidates for a postdoctoral position in computational neuroscience in the Neural Computation Laboratory at the IIT https://www.iit.it/research/lines/neural-computation directed by Stefano Panzeri and located in Rovereto (Trento), Italy. This laboratory aims to crack the neural code using neural network modeling and computational analyses of neurophysiological experiments. The laboratory offers a range of strongly interdisciplinary expertise in computational neuroscience, including information theory and other types of advanced single-trial neural analyses, advanced spectral analysis, and biophysically plausible neural network modeling. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information. The successful candidate would have the opportunity to benefit from an extensive set of existing collaborations with leading neurophysiological laboratories, including those of Nikos Logothetis at Max Planck Tubingen (collaborating on oscillations, sensory information coding and neuromodulation), Tommaso Fellin at IIT (collaborating on Optogenetics, Neurophysiology and Neural coding), Mathew Diamond at SISSA (collaborating on the behavioral impact of information carried by spike timing), and Christopher Harvey at Harvard Medical School (collaborating on neural population dynamics and decision making). We are willing to consider candidates interested in any of the aspects of neural coding of interest to the laboratory. Candidates must hold a PhD in a numerate scientific discipline. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the lab please see Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Besserve M, Lowe S, Logothetis NK, Scholkopf B, Panzeri S (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257. doi:10.1371/journal.pbio.1002257 Panzeri, S, et al (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences 19: 162-172. Interested candidates should contact Dr. Stefano Panzeri ( stefano.panzeri(a)iit.it <https://mail.iit.it/owa/redir.aspx?C=oajclq8rPE6FcMCJ-lI1Hsu55NFH69II9YBluB…>), emailing their CV, a brief statement of research interests, and names and email addresses of 2 or 3 referees.

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Associate Professor Position in Data Sciences (Big Data) at the Norwegian University of Life Sciences
by Hans Ekkehard Plesser 05 Jul '16

05 Jul '16

Dear Colleagues! The Department of Mathematical Sciences and Technology (IMT) at the Norwegian University of Life Sciences (NMBU) has a permanent, full-time position available for an Associate Professor in Data Sciences (Big Data). The position is part of the University's programme for the recruitment of top researchers, which aims to recruit young researchers with great potential for NMBU. The position will include: • one PhD Position (3 years) • NOK 0.25 million in operating funds Application deadline is 1 October 2016. For details, please see https://www.jobbnorge.no/en/available-jobs/job/127472/associate-professor-i… Best, Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser, Associate Professor Section Head Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.umb.no/~plesse

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2 open PhD positions at TU Dresden, Germany
by Stefan Kiebel 05 Jul '16

05 Jul '16

The Department of Psychology at the TU Dresden (Chair of Neuroimaging, PI: Stefan Kiebel) is looking for two PhD students. One of the PhD student positions is in experimental cognitive neuroscience, and one is in computational neuroscience. Both PhD positions will be working at the interface between computational and experimental neuroimaging research in cognitive control and goal-directed action sequences. Detailed information about both positions can be found at: http://tiny.cc/8ii4by Both positions are part of the DFG-funded CRC 940 'volition and cognitive control' (http://www.sfb940.de/en/home.html) The CRC was established in 2012 and will be funded for the next four years. The CRC aims at identifying the cognitive and neuronal mechanism, which underlie the volitional control of goal-directed actions as well as its dysfunctions in selected mental disorders. PhD position 1: The candidate will work as a member of a team in the CRC940-Project A9 on computational modelling of goal-directed actions and explaining dynamics in cognitive control in terms of variations in meta-control parameters. In this project, neuroimaging (fMRI and EEG) experiments will be used to test hypotheses derived using advanced Bayesian models of goal-reaching over multiple trials. http://tiny.cc/8ii4by (PhD position Cognitive Neuroscience) PhD position 2: The candidate will work as a member of a team in the CRC940-Project Z2 on advanced computational modelling of functional magnetic resonance imaging and electroencephalography data. In this project, advanced modelling techniques will be developed and extended to enable testing novel experimental hypotheses using fMRI and EEG. http://tiny.cc/8ii4by (PhD position Computational Neuroscience) --> The application deadline for both positions is the 14th of July. -- Prof. Dr. Stefan Kiebel Technische Universität Dresden School of Science Department of Psychology 01062 Dresden, Germany Tel.: +49 (351) 463-43145 Fax: +49 (351) 463-43147

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Research Engineer position - Axion/Columbia
by Robert Butera 01 Jul '16

01 Jul '16

Passing this on for a colleague - contact the email address in the job ad for more information. RESEARCH ENGINEER Axion BioSystems, Inc. is a life science company located in Atlanta, GA. We design, develop and manufacture instrumentation used for the precise monitoring and control of excitable cells. Axion’s products are used by pharmaceutical and biotech companies, governmental agencies, and universities for drug safety, drug discovery, and disease modeling assays. We are currently seeking an energetic scientist to lead Axion’s efforts in a collaboration with the Institute for Genomic Medicine (IGM) at Columbia University. The objective of the collaboration is to interrogate the genetic mechanisms of epilepsy with multiwell microelectode array (MEA) technology. The newly developed IGM is an integral part of Columbia University’s Precision Medicine Initiative. As part of this Initiative, the IGM performs comprehensive genomic analyses on more than 10,000 patient genomes per year in order to identify new therapeutic targets of neurodevelopmental disorders including epilepsy. In order to understand how the implicated mutation affects disease, the laboratories of David Goldstein and Michael Boland use both primary neurons from mouse models of epilepsy and neurons derived from human induced pluripotent stem cells to study the effects of epilepsy gene mutations on neurodevelopment and neural network behavior. The selected individual will contribute analytical and electrophysiological expertise to complement a highly skilled team of molecular biologists. JOB FUNCTIONS: • Execution of neurophysiological experiments with the multiwell MEA platform. The ability to interpret or debug experiments in real-time is important, such as distinguishing signal from noise or artifacts. • Analysis of large electrophysiological data sets, primarily from the multiwell MEA platform, but also including complementary in vivo data. • Develop experimental hypotheses and identify expected results. Must confirm results through independent analysis and investigate any discrepancies that appear, while understanding the strengths and limitations of model systems (i.e., cellular vs. animal). • Drive innovation of the multiwell MEA assay, leading to new experimental methods and analytical techniques. • Work well in a fast-paced, collaborative environment at Columbia University in New York City, with an ability to communicate well with the Axion team in Atlanta. REQUIREMENTS: • PhD in neuroscience or neuroengineering. A recent post-doc experience is a plus. • Hands-on research experience with electrophysiology techniques. Specific experience with MEA technology is desired. • Biostatistical and data analysis experience. • Experience with software analysis tools such as MATLAB or MiniTAB. • Attention to detail with good documentation and communication skills. • U.S Citizenship or permanent residency required. USEFUL KNOWLEDGE: The following are not required, but will enhance an applicant’s candidacy. • Hands on experience in general biological protocols including knowledge of primary cell dissociation, cell culture protocols, CRISPR, gene editing, and basic molecular techniques. • Experience with screening technologies, such as high-throughput patch clamp or high content imaging. • Knowledge of pharmacology and neurotoxicity research. CONTACT INFORMATION: If you are interested in this position, please send your resume and cover letter to careers(a)axionbio.com

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CFP: Advances in Biologically Inspired Reservoir Computing
by John Butcher 01 Jul '16

01 Jul '16

Dear all, We are seeking papers for a special issue on Reservoir Computing, paper submission deadline is 31st September 2016. For more details see below and http://ispac.diet.uniroma1.it/cognitive-computation-special-issue/ Many thanks *Scope and motivation* *Reservoir computing is a family of techniques for training and analyzing recurrent neural networks, wherein the recurrent portion of the network is assigned before the training process, typically via stochastic assignment of its weights. The non-linear reservoir acts as a high-dimensional kernel space, which generates complex dynamics characterized by sharp transitions between ordered and chaotic regimes. The behavior of this model emulates the functioning of many biological (complex) systems, among which the brain.* *Driven by the conceptual simplicity of the reservoir and by links with neuroscience, computer science and systems’ theory, researchers have achieved remarkable breakthroughs, both in theory and in practice. These include dynamical models for explaining the working behavior of reservoirs, unsupervised strategies for the adaptation of the network, and the design of unconventional computing architectures for its execution.* *The recent upsurge of interest in fully adaptable recurrent networks, far from shifting the attention from the field, has brought renewed interest in reservoir computing models. In our era of extreme computational power and sophisticated problems, it is essential to understand the limits and the potentialities of simple (both deterministic and random) collections of processing units. For this reason, many fundamental questions remain open, including the design of optimal task-dependent reservoirs in a stable fashion, novel investigations on the memory and power capabilities of reservoir devices, and their applicability in an ever-increasing range of domains.* *In light of this, the aim of this special issue is to provide a unified platform for bringing forth and advancing the state-of-the-art in reservoir computing approaches. Researchers are invited to submit innovative works on the theory and implementation of this family of techniques, in order to provide an up-to-date overview on the field.* *Topics* *The topics of interest to be covered by this Special Issue include, but are not limited to:* *-Theoretical analyses on the computational power of reservoir computing.* *-Deep reservoir models.* *-Techniques for the automatic adaptation of the reservoir and the readout.* *-Supervised, unsupervised and semi-supervised training criteria.* *-Non-conventional substrates for the implementations of reservoirs.* *-Parallel and distributed algorithms for reservoir computing.* *-Comparisons between reservoir computing and standard (deep) neural networks.* *-Reservoir computing for reinforcement learning problems.* *-Fundamental links between reservoir computing and neuroscientific findings.* *-Investigation of reservoir dynamic in a phase space of reduced dimensionality.* *-Applicative papers in all areas (including robotics, industrial control, etc.) are welcome, as well as outstanding surveys on specific aspects of the field.* -- Dr John Butcher Neuroscience Research Associate School of Life Sciences Huxley Building Keele University UK ST5 5BG http://www.keele.ac.uk/lifesci/people/researchassistants/johnbutcher/

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Postdoctoral Scholar in memory neuroscience using computational/modelling approach
by Sze Chai Kwok 01 Jul '16

01 Jul '16

Dear all, I am looking to employ a post-doc in memory neuroscience using computational/modelling approach <http://icn.ecnu.edu.cn/Data/View/1066>. Please spread the word to interested parties. Thank you. *Postdoctoral Scholar in **memory neuroscience**using computational/modelling approach * ** A postdoctoral position is available in the Laboratory of Attention and Memory (PI: Sze Chai Kwok) in the Institute of Cognitive Neuroscience at East China Normal University (ECNU) in Shanghai, China. Research will study the theoretical and neurobiological basis of episodic memory. Focus will be on the development of cognitive and/or biophysical network models using cross-species data from both human fMRI (with TMS) and ECoG, extra-cellular LFP / whole-cell recordings (combined with ire/reversible intervention) in awake monkeys performing analogous memory tasks using naturalistic stimuli such as videos. Candidates are expected to take advantage of the Lab’s unique experimental expertise in both humans and macaques. The Lab has active collaboration with groups in UCL, Lyon Neuroscience Research Center, UCLA, and University of Oxford. Appointment is contingent upon completion of a PhD in computer science, mathematics, physics or other quantitative disciplines. Relevant research experience in modelling would be preferable. Salary is commensurate with experience. This postdoc appointment will run for initially a period of two years with a flexible starting date. Interested candidates should initiate informal inquiries and/or send a CV, a statement of research interests, representative first-author publications (in one single PDF), and references to: sk5899(a)nyu.edu <mailto:sk5899@nyu.edu>. Applications are accepted beginning now, and will continue until the position is filled. Sze Chai Kwok, DPhil Associate Professor at East China Normal University Associated faculty at NYU-Shanghai University (<http://shanghai.nyu.edu/research/brain/faculty/sze-chai-kwok>http://shanghai.nyu.edu/research/brain/faculty/sze-chai-kwok) -- ------------------------------ 5x1000 PER LA NOSTRA RICERCA SANITARIA <http://www.hsantalucia.it/modules.php?name=News&file=article&sid=999> la tua firma, il nostro codice fiscale: 97138260589 <http://www.hsantalucia.it/modules.php?name=News&file=article&sid=999> ------------------------------ Le informazioni contenute in questo messaggio sono riservate e destinate esclusivamente alla/e persona/e o all'ente sopra indicati. E' vietato ai soggetti diversi dai destinatari qualsiasi uso, copia e diffusione di quanto in esso contenuto sia ai sensi dell'art. 616 del codice penale che ai sensi della L. 196/03 (privacy). Se questo messaggio Vi e' pervenuto per errore, Vi preghiamo di non leggerlo, di distruggerlo e di comunicarci l'errore via e-mail o telefonando al numero +39 06515011. The information contained in this message is confidential and is intended for the exclusive use of the person(s) or company(s) above addessed. If you are not the intended recipient(s), you are expressly prohibited from using, copying and distributing this message or any part of it in accordance with art. 616 of the criminal code and the law 196/03 (privacy). If you receive this message please don't read it but destroy it and then inform us by e-mail or by phone - number +39 06515011.

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PhD positions at the CTNSC-UniFe , Ferrara
by Emma Maggiolini 30 Jun '16

30 Jun '16

The Center for Translational Neurophysiology of Speech and Communication (CTNSC) at the Istituto Italiano di Tecnologia (IIT) is looking for up to 4 highly motivated, full-time PhD students to work in the core research areas of the Center. The PhD student will work in Ferrara, in an international and multidisciplinary team including biomedical engineers, biologists, computer scientists, psychologists and medical doctors. The PhD positions will cover the following core areas of CTNSC. DEADLINE: 5TH AUGUST 2016 CTNSC Info [ITA/ENG]: https://www.iit.it/centers/ctnsc-unife PhD page [ITA/ENG]: http://www.unife.it/studenti/dottorato/concorsi/selection How to participate to the selection [ITA/ENG]:http://www.unife.it/studenti/dottorato/modulistica/concorsi/32-ciclo/neurosciences.pdf * Functional investigation of innovative neural interfaces Evidences show that using electrophysiological techniques is possible to extract information about brain processes and then translate these signals into commands that could be used to recover the lost capabilities. The purpose of the project is to investigate the in-vivo performance of novel devices - both in-house developed or obtained from collaborating laboratories - with a focus on i) enhanced capability to record neural signals; ii) large charge transfer capability to enhance the stimulation performance and iii) small size to minimize inflammatory reaction and gliosis. The candidate will be involved in the development of a stable and functional interface between living neural tissue and probes in rat model. Techniques: in-vivo single-unit recording and epicortical recording , histological techniques and image analysis, microscopy techniques and data analysis. Requirements: The candidate should have a background in one or more of the following fields: biology, medicine, pharmacology or related disciplines. Programming experience is appreciated but not mandatory. Familiarity with electrophysiological and/or microscopy techniques is of advantage. Contacts: Dr. Emma Maggiolini: emma.maggiolini(a)iit.it<mailto:emma.maggiolini@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it> * Animal neurophysiology investigation of sensorimotor functions The discovery of mirror and canonical neurons in monkey premotor and parietal cortex motivated a number of studies on how sensorimotor transformations in the brain may support understanding of action performed by conspecifics. This still constitute a fundamental area of research which is necessary to unravel the basic mechanisms of sensorimotor sharing during social interaction. The candidate working in this core area will investigate, in animal models, the neuronal activity of different (motor and somatosensory) cortical regions, pointing out their topographic organization as well as their role during observation, planning and execution of particular motor acts. Techniques: multidisciplinary approach involving behavioral testing, electrophysiological techniques (intracortical microstimulation, single-unit recording, field potentials recording, electromyography) and histological evaluations. Requirements: The candidate must have a background in the biological fields (biology, medicine, pharmacy and similar). At the end of the three-year period, the Ph.D. student will obtain deep knowledge and experience on in vivo neuroscience. Contacts: Dr. Riccardo Viaro: riccardo.viaro(a)iit.it<mailto:riccardo.viaro@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it> * Brain- and multimodal signal- based speech recognition Our approach to speech recognition is an "analysis by synthesis" approach which assumes that in order to recognize speech we need to understand the causal process (i.e., the speech production process) that stems from brain activity and, through coordinated movements of the vocal tract articulators, produces speech sounds. Such approach is largely motivated by work on speech perception carried out at CTNSC and serves two goals. The first goal is to build automatic speech recognition systems that, as humans do, work in very challenging scenarios (e.g., in the so called "cocktail party" scenario) and are able to learn how to recognize speech without relying on huge amount of carefully annotated speech data (as opposed to "data hungry" current recognition systems). The second goal is to recognize speech from one or more modalities that are within the speech production process, e.g., from brain signal or from visual and kinematic signals of the face and the vocal tract. Techniques: Machine learning, deep neural network, multimodal signal processing. Requirements: The successful candidate will have a degree in computer science bioengineering, physics or related disciplines. A background in machine learning and in speech and language processing. Contacts: Dr. Leonardo Badino: leonardo.badino(a)iit.it<mailto:leonardo.badino@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it> * Human Neurophysiology investigation of speech and communication abilities by means of micro-electrocorticography Historically, the study of speech processing has emphasized a strong link between auditory perceptual input and motor production output. The main aim of this area is to describe the neural systems involved in this sensorimotor representation linking speech perception and production. To this purpose, we use high-density surface microelectrodes for electrocorticography (micro-ECoG) to record electrical signals directly from the cortical surface in patients during awake surgery for low-grade glioma resection. Micro-ECoG is an important electrophysiological signal recording technique that combines high temporal resolution with good spatial localization. Techniques: Micro-ECoG, direct brain electrical stimulation, functional electrical mapping. Requirements: Applicants are expected to have a degree in biomedical engineering or basic/applied/health sciences. Requirements include a knowledge of neural signal processing and/or neuroimaging skills. Contact: Dr. Luciano Simone: luciano.simone(a)unife.it<mailto:luciano.simone@unife.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it> * Human Neurophysiology investigation of speech and sensorimotor communication abilities by means of non-invasive techniques The neural mechanisms underlying speech and sensorimotor communication abilities, during real-life social encounters are mostly unknown. In the classic motor control frame of reference, individuals can be conceived as proactively building models of their action and of their sensory consequence. During interaction, these sensorimotor models can be extended to the social space whereby the control signal becomes the negotiated behavior of other people. The candidate will help in mapping the brain activities responsible for the emergence of such a shared behavior, in the domain of speech (phonological level) or action (upper arm movements). These experiments will inform the next generation of biologically inspired automatic communication recognition systems, essential to augment natural human-human coordination and promote the future of efficient human-robot interaction. Techniques: Electroencephalography (EEG), Electromyography (EMG), body motion kinematics (MoCap), Transcranial Magnetic Stimulation (TMS), transcranial Direct (tDCs) and Alternate (tACs) current stimulation. Requirements: The successful candidate will have a background in neuroscience, experimental psychology, computer science or engineering. Programming skills as well as a strong interest in cognitive neuroscience are fundamental. Electroencephalographic and kinematic data analyses skills are a plus. Contact: Dr. Alessandro D'Ausilio: alessandro.dausilio(a)iit.it<mailto:alessandro.dausilio@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it> [Description: cid:image001.jpg@01CC9EC9.BA36CB30] Emma Maggiolini, PhD IIT@unife, Center for Translational Neurophysiology Via Fossato di Mortara 17/19, 44121 Ferrara, Italy Tel. +39 0532 455983 SKYPE ID: lilmay75 e-mail: emma.maggiolini(a)iit.it<mailto:emma.maggiolini@iit.it> www.iit.it<http://www.iit.it/>

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CNS2016 tutorial on detailed neuronal modelling
by Ben TN 30 Jun '16

30 Jun '16

On Saturday July 2 there is an exciting tutorial at the yearly CNS meeting titled: “Detailed modeling of structure and function at the cellular level”. This tutorial will be given by Dr. Ben Torben-Nielsen and Dr. Yann Le Franc. If you are at the CNS meeting, this is your chance to get expert insights into the wondrous world of dendrites and axons, their shape and dynamics emerging on them. The tutorial consists of two parts. In the morning session, Dr. Torben-Nielsen will cover the study of neuronal morphologies; why this is important and how we can study them through analysis and synthesis. In the afternoon session, Dr. Yann Le Franc will discuss the dynamics of ionic conductances. This session focusses on the basics of compartmental modelling and the existing neuroinformatics tools used to advance your workflow in dealing with design, implementation and analysis of detailed models. Both sessions will contain a hands on component. Please bring a laptop with Python/Scipy/Numpy/Matplotlib installed on it. For windows and mac users, we recommended Anaconda (https://www.continuum.io/why-anaconda) as it is an easy way to install all required Python packages. In the afternoon session, we will also use the NEURON simulator (https://www.neuron.yale.edu/neuron/) Please install this package as well with the Python extensions. We can provide guidelines on the installation of these packages during the breaks. Also, if you have structural data of neurons and do not know how to start to analyse them, please bring them along and we can help you out! Kind regards, Ben Dr. Ben Torben-Nielsen Senior Lecturer (Assistant professor) Biocomputation Group University of Hertfordshire, UK

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CITEC Summer School 2016 on Adaptive Systems - CALL FOR PARTICIPATION
by elisabetta chicca 30 Jun '16

30 Jun '16

-------------------------------------------------------------------------------------------------------------- CALL FOR PARTICIPATION *CITEC Summer School 2016 on Adaptive Systems* CITEC, Bielefeld University, Germany, 27th-30th of September 2016 ------------------------------------------------------------------------------------------------------------- Dear young researchers, The CITEC Summer School 2016 is dedicated to the topic of Adaptive Systems: https://www.cit-ec.de/summerschool Adaptivity is the key for coping with tasks or environments whose properties cannot be completely known beforehand - a frequent characteristic of real world situations challenging artificial agents, real robots or biological organisms alike. We offer you an interdisciplary mesh of courses held by an interdisciplinary team of researchers from the Excellence Center Cognitive Interaction Technology to acquaint you with current ideas and research about adaptivity, its foundations, analysis and its synthesis in artificial systems. This year's topic is organized into four major thematic areas: (A) Adaptive Motion (B) Multimodal Learning and Social Interaction (C) Deep Approaches to Relevance Learning (D) Embodiment and Neuromorpic Learning Systems Most of the courses provide the opportunity for hands-on experience, involving experiments or data sets captured in CITEC research labs. You are asked to choose one out of this four. They are complemented by talks of leading invited and local experts. Invited speakers include: - *Ralph Etienne-Cummings**, *Johns Hopkins University, USA - *Kerstin Fischer**, *University of Southern Denmark - *Christian Igel*, University of Copenhagen, Denmark - *Andrew B. Schwartz*, University of Pittsburgh, USA Beyond the courses and the talks of the speakers, attendance will provide you with ample opportunities for discussions, exchange of ideas with your peers and the participating researchers, and for learning more about CITEC. The Summer School continues a series of highly successful CITEC Summer Schools started in 2010 and covering the topics of *The Structure of Cognitive Motion: From Analysis to Synthesis* (2010), *Mechanisms of Attention - From Experimental Studies to Technical Systems* (2011), *Verbal and Non-verbal Interaction: From Experiments to Implementation (*2012), and *Continuous Learning in Living and Artificial Systems* (2013) so far. To apply visit https://www.cit-ec.de/summerschool/application and indicate your area of choice from the above area list (A)-(D). Applications will be open at least until July 29th. For more information, visit http://www.cit-ec.de/summerschool Contact us for questions: summerschool(a)cit-ec.uni-bielefeld.de

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POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo 28 Jun '16

28 Jun '16

Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with pharmacologically resistant epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience, modeling of stochastic neural dynamics and experiments involving closed-loop electrical stimulation. Related recent publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Postdoctoral position in graph signal processing for monitoring spatio-temporal dynamics of brain activity
by Nicolas Farrugia 28 Jun '16

28 Jun '16

Postdoctoral position in graph signal processing for monitoring spatio-temporal dynamics of brain activity Telecom Bretagne, Brest, France P.I. : Dr. Vincent Gripon Context The present proposal is funded by the Neural Communication project, which is part of the Labex CominLabs. This project started in November 2015 for a duration of two years as a continuation of the Neural Coding project, also founded by the Labex CominLabs from November 2012 to October 2015. The main goal of the project is to propose models for communications between cortical areas in the brain and to develop novel methodologies for identifying spatio-temporal patterns in brain activity. The project takes advantage of the expertise of two internationnaly renowned teams. The first one is led by Fabrice Wendling, director of research at LTSI in Rennes, and aims at proposing innovative methods for extracting connectivity graphs from EEG signals. The second one (host team) is led by Claude Berrou, professor at Télécom bretagne, and aims at proposing novel models for information processing in neural networks. The host team is also active in the new field of graph signal processing. The host team is composed of three permanent researchers as well as two postdocs and six PhD students. The proposed postdoctoral position is meant to take place in Télécom Bretagne, in Brest. The candidate is expected to work in collaboration with people involved in the ERC project Neucod led by Claude Berrou. Proposal It is now well-known that brain activity is structurally organised into functionally connected networks. Using functional MRI on subjects at rest, resting state networks can be defined as sets of spatially distinct brain areas with temporally correlated activity. While having been extensively studied over long time periods (e.g. 6 minutes), such networks are now investigated using dynamic analysis with a temporal resolution of a few dozens of seconds. Other works are interested in applying similar methodologies to monitoring the dynamics when performing cognitive tasks, as it has been shown that task-related functional networks are spatially similar to resting-state networks. Recently, a novel framework has been developed that aim at exploiting graphical structures of the underlying topology the signals are projected onto, called graph signal processing. As a result, it is possible to define ad hoc harmonic operators including convolutions and wavelets. A major advantage of this approach is the ability to detect similar patterns in distinct regions of the network, despite the inhomogeneity of the network topology. We are interested in applying graph signal processing to brain imaging to study special temporal dynamics, both in the resting state and task-related networks using EEG and fMRI. Details The head of the project is Vincent Gripon, permanent researcher with Télécom Bretagne. Please send your curriculum vitae, contacts for two references, as well as a cover letter to vincent.gripon(a)telecom-bretagne.eu. Expected disposable salary is about 30k{\euro} per year, depending on experience. The position starts in September 2016 (or sooner) and finishes in November 2017. The postdoc position is accompanied with overheads for travel expenses covering the participation to international conferences. The candidate must have defended a Ph.D. related to neuroscience, neuroimaging and familiar with signal processing. Programming skills are essential to this position. The deadline for applying to the position is July 17th.

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EEG and Brain Stimulation Postdoctoral Position in Frohlich Lab at UNC-Chapel Hill
by Sankar Alagapan 28 Jun '16

28 Jun '16

We are seeking to fill one postdoctoral position in the Frohlich Lab with a candidate who has a proven track record of EEG data analysis. *About this position*: We are collecting high-density EEG from multiple clinical trials in which we evaluate the effect of non-invasive brain stimulation on brain network dynamics and behavior. We are looking for a passionate scientist who is interested in taking charge of the data analysis (EEG, cognitive tasks, clinical scales) to validate network targets for brain stimulation in psychiatry and more broadly the network-level dysfunction of psychiatric disorders such as depression and schizophrenia. The applicant will be embedded in a vibrant research group of around 20 scientists and will receive (as needed and desired) training in transcranial current stimulation, network neuroscience, and clinical research. The position will include working closely with the study coordinators who run the clinical trials. *About the Frohlich Lab*: We seek to revolutionize the fields of psychiatry and neurology by studying brain network dynamics and applying our discoveries to the rational design of novel brain stimulation treatments. Our research integrates neurobiology, engineering, and medicine to identify, engage, and validate network targets for brain stimulation. We (1) perform computer modeling, (2) combine electrophysiology, imaging, brain stimulation, and behavioral assays in animal models, (3) record and modulate human brain activity, and (4) study new treatments in randomized controlled clinical trials. This position is aligned with items (3) and (4) of our mission. *About UNC at Chapel Hill*: We are a vibrant and nationally top-rated research institution with a strong track record in (translational) neuroscience. UNC has been repeatedly ranked as one of the best places to do a postdoc. Quality of life is very high, cost of living is low. *About the successful candidate*: You have a PhD in neuroscience (or a related discipline) and a track record of first class science demonstrated by first author peer-reviewed scientific articles. Strong background and experience with human EEG data analysis and Matlab is required. Experience in source localization and functional connectivity analysis using EEG will be advantageous. Experience with clinical trials or working with patient populations is a plus. Please send your CV and a brief statement of research interest toflavio_frohlich(a)med.unc.edu. Also, please have two letters of recommendation directly submitted to the same email address. Note: Please only submit an application if your background matches the required expertise for this position. We are looking forward to meeting passionate and hard-working applicants who are ready for this cutting-edge project and for joining the Frohlich Lab family. Applications will be reviewed until the position is filled. Start date is flexible but the earlier the better. UNC is an equal opportunity employer.

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Call for Participation (ICDL-EPIROB 2016): WS on Development of Body Representations
by Matej Hoffmann 28 Jun '16

28 Jun '16

*Call for papers: Interdisciplinary workshop on the development of body knowledge in humans and machines* 19^th September 2016, Cergy-Pontoise / Paris http://bodyschemaworkshop.blogspot.it <http://bodyschemaworkshop.blogspot.it/> held in the framework of ICDL-EPIROB 2016 conference: http://www.etis.ensea.fr/neurocyber/ICDL-EPIROB2016/home.php Following the previous workshops on the development of body representations in humans and robots at ICDL-EPIROB, we have the pleasure to announce a forthcoming workshop in Cergy-Pontoise / Paris on the 19^th September 2016. The aim of this workshop is to spark collaboration between roboticists and developmental psychologists in order to address the origins of the sensorimotor maps that underlie own body representations in both infants and robots. The development of infants’ body knowledge is a primary object of discovery starting before birth. This construction ultimately enables the infant to efficiently interact with the environment. The specific goal of the organizers is to explore the possibility of developing robotic models inspired by the development of human infant body representations. Presentations will consider body knowledge acquisition from sensorimotor, neural and computational perspectives. After the presentations, the discussion will aim at establishing an integrative framework for understanding a) the development of body knowledge in infants, b) the mechanisms that underlie body knowledge acquisition and c) how robots can be used to replicate developmental patterns and progressions that have been found in human infants. On the one hand such robots can become new modeling tools for empirical sciences – expanding the domain of computational modeling by anchoring it to the physical environment and a physical body. On the other hand, robot controllers endowed with multimodal whole-body awareness typical of humans should increase robots’ autonomy. ___________________________________________________________________________ We invite contributions concerning the development of body knowledge in humans and/or machines. Please submit a one-page abstract describing your poster by *the 5th of August 2016* to the following address: *icdlbodyworkshop(a)gmail.com* Presenters of a poster will be expected to be present on the 19th of September 2016 for a teasers-session and for the poster session. During the teasers-session each presenter will introduce their poster in a 2-minute oral presentation (with 2-3 pdf slides). During the poster session they will then have the opportunity to explain their poster and to hand out any leaflets or other information materials they have available for viewers of their poster. *___________________________________________________________________________* *Important dates * Abstract submission: August 5, 2016. Notification of acceptance: August 15, 2016. Submission of 2-3 slides (pdf): September 15, 2016. Workshop day: September 19, 2016. ___________________________________________________________________________ *Speakers* * Prof. Jeffrey Lockman, PhD. Department of Psychology, Tulane University, USA. * Kevin O’Regan, PhD. Research scientist, Laboratoire Psychologie de la Perception, Paris Descartes University, Paris, France. * Matej Hoffmann, PhD. Researcher, iCub Facility, Istituto Italiano di Tecnologia, Italy. * Prof. Minoru Asada, PhD. Research director, Division of Cognitive Neuroscience Robotics, Institute for Academic Initiatives, Osaka University, Japan. * Andrew Bremner, PhD. Reader in psychology and head of department, Goldsmiths University, London, UK. * Gianluca Baldassare, PhD. Researcher, Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome, Italy.** *____________________________________________ * ** *Venue* Cergy-Pontoise University: http://www.etis.ensea.fr/neurocyber/ICDL-EPIROB2016/home.php ___________________________________________________________________________ *Website* Please check the website <http://bodyschemaworkshop.blogspot.fr/>http://bodyschemaworkshop.blogspot.fr/for updated information about the workshop! ___________________________________________________________________________ *Organizers* Eszter Somogyi, PhD Postdoc researcher, Laboratoire Psychologie de la Perception, Paris Descartes University, France Matej Hoffmann <https://sites.google.com/site/matejhof/home>, PhD Researcher, iCub Facility, Istituto Italiano di Tecnologia, Italy Lorenzo Jamone <http://lorejam.blogspot.pt/>, PhD Associate researcher, VisLab, Instituto de Sistemas e Robotica, Lisbon, Portugal ___________________________________________________________________________ *Contact information* Eszter Somogyi, PhD Postdoc researcher, Laboratoire Psychologie de la Perception, Paris Descartes University, France esomogyi(a)gmail.com <mailto:esomogyi@gmail.com> -- Matej Hoffmann, PhD Postdoctoral Researcher iCub Facility Istituto Italiano di Tecnologia Via Morego, 30 16163 Genoa, Italy https://sites.google.com/site/matejhof/home

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Computational Modeling of Autism: Roche Internship, Basel Switzerland
by Christopher Chatham 28 Jun '16

28 Jun '16

Please see below for information about a 9 month internship in Basel, Switzerland, in statistical and computational modeling of ASD. The internship should start before October 2016. Please forward to any PhD students who may be interested in this opportunity. About the position: This position will be based in the Biomarkers and Clinical Imaging Group of the Neuroscience Translational Medicine Section of Roche in Basel, Switzerland. The Biomarkers and Clinical Imaging Group uses cutting edge genetic, molecular, neurophysiological, imaging (PET and MRI), electrophysiology and cognitive methodologies to understand diseases and support drug development efforts in the neuroscience field. The Translational Medicine group oversees the discovery, research and development of novel treatments for diseases in neurological, psychiatric and neurodevelopmental fields. The RiSE program (Roche Internships for Scientific Exchange) offers the most talented postgraduate students the opportunity to enhance their competencies and to gain valuable work experience with us. During the internship your tasks will include: - Statistical analyses of behavioral data from ASD patients - Mathematical modelling of normative behavioral data - Participating in an international workgroup to develop estimates of clinically meaningful change on a clinical symptom rating scale - Attending talks sponsored by groups across the company and Biomarker group meetings - Building your professional network across the company Apply here: http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-3233464408&locale=…

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Post Graduate School "Cognitive Computing in Socio-Technical Systems" of Ulm University and University of Applied Sciences Ulm
by Friedhelm Schwenker 28 Jun '16

28 Jun '16

Post Graduate School "Cognitive Computing in Socio-Technical Systems" of Ulm University and University of Applied Sciences Ulm In 2016 Ulm University and the University of Applied Sciences Ulm award *12 scholarships to highly-qualified scientific talents* for preparing the doctoral degree in accordance with the Landesgraduiertenförderungsgesetz (LGFG). Scholarships will be granted for 12 doctoral projects for initially one year, starting – if possible – on 1st October 2016. There will be the option of a two-year extension (i.e. standard funding term is 3 years). The 12 doctoral projects aim at tightly linking the fundamental pillars of cognitive computing, i.e., (i) perception, (ii) planning & reasoning, (iii) learning, and (iv) interaction. Applications include service robotics, Industry 4.0, logistics, and adaptive process management systems. A scholarship can be granted provided that the following conditions are met: * an outstanding qualification, * acceptance as a doctoral candidate in the respective department of Ulm University, and * scientific support by a professor of Ulm University / University of Applied Sciences Ulm. Please submit your application *no later than 1st August 2016*. You may send it, together with the required attachments (e.g., certificates), as PDF file to Prof. Manfred Reichert (email: manfred.reichert(at)uni-ulm.de). Please use the application template provided on our website (see below). As subject of the email use "Application KPK Cognitive Systems". Alternatively, you may send your application to the following postal address: Prof. Dr. Manfred Reichert Universität Ulm, Institut für Datenbanken und Informationssysteme D-89069 Ulm, Germany On your cover letter please write code number 68, KPK "Cognitive Computing" as well as the supervisors of the projects you are interested in. You may find additional Information and the application template on the following website: * http://www.uni-ulm.de/KPK_Cognitive_Computing * http://www.hs-ulm.de/KPK_Cognitive_Computing -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Burst coding: extended deadline
by Zeldenrust, Fleur 28 Jun '16

28 Jun '16

Dear colleagues, Recently, you received a call for participation in the Frontiers Research Topic on Burst coding (see below). Due to FENS and the summer vacations, several authors asked us to extend the deadline. Therefore, the deadline for articles is now extended to: October 1st 2016. With kind regards, Fleur Zeldenrust Bernhard Englitz Wytse Wadman ________________________________ Dear colleagues, This is a call for participation in a Frontiers Research Topic titled "Burst coding: from cell to cognition” (for a description, see below). We, the editors, would highly value your participation. If you would like to contribute, please follow the following link: http://journal.frontiersin.org/researchtopic/4374/burst-coding-from-cell-to… Abstract deadline: 1 February 2016 Manuscript deadline: 30 June 2016 Please note that reviews at Frontiers allow and encourage a discussion between the authors and the reviewers. As editors we would like to further encourage you to use this opportunity, while guaranteeing from our side that a constructive discussion with the reviewers will have a positive influence on the evaluation of your work. Let us know if you have any questions about the Research Topic. We look forward to hearing from you soon. With kind regards, Fleur Zeldenrust Bernhard Englitz Wytse J. Wadman Guest Associate Editors, Frontiers in Computational Neuroscience BURST CODING: FROM CELL TO COGNITION Bursting is a firing mode of neurons in which they respond to and input with a group of high frequency action potentials, followed by a period of relative silence. These bursts can be generated intrinsically in neurons themselves, or they can be the result of network activity. Many different systems show a burst-firing mode next to a tonic-firing mode. Despite the ubiquity of bursting, the question of the functional properties of bursts remains unknown: why do some systems rely on bursts for their information transmission and what do bursts code for? We encourage authors to contribute their expertise, both from experimental and from computational backgrounds, on this question on the fundamental properties of burst coding. Papers should address one or more of the following issues: 1. Burst generation. How can different systems generate bursts? This includes both the single neuron level (active dendritic calcium, sodium dynamics, ‘ping-pong’ mechanisms) and the network level (synchronization, inhibition). 2. Differences between systems. In what brain areas of what animals do bursts occur (region CA3 of the rodent hippocampus, mammalian thalamus, weakly electric fish, insect auditory receptors), and what are the similarities/differences in the properties of these systems? 3. Detection and analysis of bursts. The detection of bursts is mostly done using inter-spike interval distributions or return maps; these give a typical inter-spike interval. Often, inter-spike intervals and spike amplitudes change over the course of a burst, making the last spikes in a burst hard to detect. This makes the analysis of burst challenging. Moreover, many traditional tools for the analysis of spike trains cannot be used to analyse spike trains that include bursts without some form of correction for it (reverse correlation techniques, Spike Coincidence Factor). 4. Information processing (burst coding). What are the functional information processing effects of bursts? These include decoding (resonance coding or inter-spike interval coding, burst duration coding), encoding (what stimulus features trigger bursts?), and other coding properties (reliability at unreliable synapses, feature detection for bursts versus stimulus estimation for single spikes, ‘wake-up call’ function of bursts). 5. Relation between bursts and pathology. The burst-firing mode of the thalamus has been associated with sleep and anaesthesia, and therefore with pathological conditions, before evidence showed that bursts also occur in awake states. Bursting in the subthalamic nucleus and globus pallidus is associated with Parkinson’s disease; high-frequency cortical oscillations are thought to be a hallmark of epilepsy, but their origins have been disputed. Are there more relations between the burst-firing mode and pathological conditions? 6. Relation between bursts and behaviour. Bursts of complex spike cells play an important functional role in hippocampal place cells. In the oculomotor system bursts play an important role in generating saccades. In weakly electric fish, bursts are a response to ‘communication-like’ stimuli, but not to ‘prey-like’ stimuli. Thalamic bursts have a much stronger effect on their cortical targets than single spikes. These results suggest that bursts can have a different signalling function then single spikes, often associated with different behaviour. ABOUT FRONTIERS RESEARCH TOPICS Founded by scientists in 2007, Frontiers is a community-rooted open-access publisher, driving innovations in peer review, article-level metrics and research networking. The "Frontiers in" journal series hosts 54 journals covering more than 350 academic specialties, with a network of over 200,000 leading researchers worldwide. Frontiers is a registered member of the Open Access Scholarly Publishers Association (http://www.oaspa.org/member/Frontiers) and was recognized by the ALPSP Award for Innovation in Publishing in 2014. The idea behind a Frontiers Research Topic is to create a comprehensive collection of peer-reviewed articles that address a specific theme of research, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, and more. Please see the relevant journal for a full list of accepted article types. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used as educational material, be sent to foundations that fund your research, to journalists and press agencies, or to your professional network. E-books are free to read and download. Once published, your articles will be free to access for all readers, indexed in relevant repositories, and as an author in Frontiers, you retain the copyright to your own papers and figures. FRONTIERS PUBLISHING FEES Manuscripts accepted for publication are subject to publishing fees, which vary depending on the article type. All Research Topic manuscripts receive a discount on publishing fees; please see here for a full fee table, and further relevant FAQs: http://www.frontiersin.org/about/PublishingFees. http://www.frontiersin.org/Mail/IbarMail.aspx?op=4&msgid=10350094&msg=In

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PhD position at HU Berlin available
by Benjamin Lindner 27 Jun '16

27 Jun '16

We are looking for a PhD candidate in Computational Neuroscience with a strong background in theoretical physics, specifically in stochastic processes, to work on effective descriptions of temporal and spatial correlations in recurrent networks of spiking neurons. Funding is provided for three years, starting October 2016, through the international research training group IRTG 1740 "Dynamical Phenomena in Complex Networks: Fundamentals and Applications". Part of this program is a (minimum six month) stay in the lab of our collaborator in Brazil, Prof. Roque (FFCLRP, Universidade de Sao Paulo). For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/index_html?set_…. Please, send your application until July 31, 2016 to Nikola Schrenk (nikola.schrenk(a)bccn-berlin.de) and to me (benjamin.lindner(a)physik.hu-berlin.de) -- -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html --------------------------------------------------------------------------------------------------------------------

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Postdoc position in cognitive and neural modeling (Angela Yu)
by Angela J. Yu 27 Jun '16

27 Jun '16

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Initial appointment is one-two years, with flexible start date and opportunity for renewal. Anticipated research direction is rather flexible, generally involving developing a decision-theoretical framework for the inter-related problems of perceptual decision-making, active sensing, active learning, interactions between affective and cognitive processing, and social cognition. Candidates must have a strong mathematical and modeling background in Bayesian statistics, Markov decision process, and general machine learning methods. Experience with measure-theoretic probability theory, stochastic processes, stochastic control theory (stopping problems, bandit problems, sequential decision problems), and/or dynamical systems analysis is also desirable. Applicants should be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>). Two or more letters of references should be sent directly to the same address. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu -------------------------------------

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PhD position in Deep Neural Learning for Computer Vision - Naples, Italy
by Alfredo Petrosino 25 Jun '16

25 Jun '16

A fully funded 3-year PhD position is available at CVPRLab (cvprlab.uniparthenope.it) of the department of Science and Technology at the University of Naples Parthenope, Italy, on topics related to neural and machine learning and scene understanding. The aim is to work about new models of deep neural architectures with biological plausability capable of human-like learning, including learning from scratch and spatio temporal analysis. Applications include autonomous systems, active vision, and elderly assisted living, also through mobile devices and jointly with highly specialised industries. Eligibility requirements include: - Master of Science degree with academic excellence, i.e. normally an Honours Degree; - Strong experience in machine learning and basics of computer vision, as well as good mathematical and programming skills (either C/C++ or MATLAB). The net salary is nearly 1.300,00 euros per month. For further details of how to apply, entry requirements and the application form, see Advert link: http://www.unimi.it/cataloghi/dottorati_borse_premi/Bando_DOTTORATI_XXXII_c… Forms link: http://www.unimi.it/cataloghi/dottorati_borse_premi/Allegati%20bando%20gene… The deadline for applications is 1pm, 6 July 2016. Further information are given by sending an email to petrosino(a)uniparthenope.it Alfredo Petrosino, University of Naples Parthenope ****************************************************************************** IL MERITO DEGLI STUDENTI VIENE RICONOSCIUTO Il 5 per mille all'Universita' degli Studi di Napoli "Parthenope" incrementa le borse di studio agli studenti - codice fiscale 80018240632 http://www.uniparthenope.it/index.php/it/5-per-mille Questa informativa e' inserita in automatico dal sistema al fine esclusivo della realizzazione dei fini istituzionali dell'ente.

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Computational Neuroscience Postdoctoral Positions at Sandia National Laboratories
by Chance, Frances S. 24 Jun '16

24 Jun '16

(Apologies in advance for any cross-posting) Colleagues, We are seeking computational neuroscientists to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Example research topics of interest include computational models of retina, visual cortex (or the neural circuitry underlying perception), and the hippocampus. Candidates should have a strong background in neuroscience, and an interest in understanding of relations between neuroscience, cognitive science, and computation. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. This position is located at Sandia's Albuquerque, NM, USA site. Required 1. A Ph.D. in Neuroscience, Computer Science, Physics, Mathematics, or related field. 2. Experience with neuroscience research methods and data analysis. 3. Strong publication record. 4. Excellent interpersonal, communication and writing skills. 5. Demonstrated ability to contribute to multidisciplinary teams. 6. Ability to obtain and maintain a U.S. Department of Energy security clearance. Desired At least some of the following qualifications are preferred: 1. Demonstrated abilities in mathematical and computational modeling of neural or cognitive function. 2. Previous research experience in a sensory system. 3. Experience with biologically-inspired machine learning algorithms. 4. Experience developing in at least one C-derived programming language (C, C++, C#, Java, etc.), or with a neural simulator (NEURON, PyNN, NEST, etc). 5. Laboratory experience in any of: electrophysiology, neural imaging, connectomics, pharmacological manipulations combined with measurement of neural activity. Submissions: Apply online at http://www.sandia.gov/careers/index.html - select "View All Jobs", and search for 653748 in the keywords box. Please include a letter of interest and a curriculum vitae. For questions or information, please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov) Applications will be reviewed on a rolling basis, but to ensure full consideration please submit by August 31, 2016. Sandia National Laboratories is an Equal Opportunity Employer M/F/D/V.

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[jobs] Post-Doc in Developmental Robotics - Short Deadline
by Patricia Hazel Shaw [phs] 24 Jun '16

24 Jun '16

Post-Doctoral Research Associate, (Fixed Term until 31 March 2018) Institute of Mathematics, Physics and Computer Science Grade 7 - £32,600 - £37,768 Closing Date: 30th June 2016 Interview Date: 4th July 2016 Applicants are invited to join the Robotics Laboratory for a project (entitled “Developmental Algorithms for Robotics”). The project is focusing on developmental robotic learning based on an iCub humanoid robot. This is a three year EPSRC funded project running at Aberystwyth University started March 2015, with the support of an International Scientific Advisory Board consisting of leading developmental psychologists. We wish to appoint a Post-Doctoral Research Associate who will develop models based on the psychological literature, and conduct experiments on our iCub humanoid robot. The successful candidate will have appropriate modelling skills and experience, and proven abilities in this area. Other tasks include writing scientific documents and papers, documenting experiments and writing reports, supervising a PhD student and collaborating with other researchers. Regular European travel will be involved. The project ends March 2018, with the fixed-term contract running to this date. For informal enquiries contact Patricia Shaw: phs(a)aber.ac.uk<mailto:phs@aber.ac.uk> +44 (0)1970 622432. For the full job description, please visit: https://jobs.aber.ac.uk/en/vacancy/post-doctoral-research-associate-develop… -------------------------------------------------------------------- Astudio gyda ni yn Aberystwyth - Prifysgol Gyntaf Cymru https://www.aber.ac.uk/cy/undergrad/ Study at Aberystwyth – Wales’ First University https://www.aber.ac.uk/en/undergrad/

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Postdoctoral Position at Yale Neuroscience
by McCormick, David 22 Jun '16

22 Jun '16

An outstanding, highly-motivated post-doctoral fellow is sought to participate in studies on the cellular/network mechanisms of optimal state for performance. Candidates experienced in either computational, imaging/optogenetic, or electrophysiological methodologies are sought. We are investigating the mechanisms by which the optimal state for detection and discrimination performance is achieved in mouse neocortex. Mice are trained to perform visual and auditory detection/recognition/discrimination tasks. Through state-of-the-art techniques, such as two-photon monitoring of activity in known neuromodulatory axons in the cortex, whole cell recording of synaptic activity, high density array recordings of cortical unit activity, and optogenetic manipulation of specific transmitter systems, we are able to determine and decipher the role of different transmitter systems and neural pathways that rapidly control neuronal responsiveness. We have recently shown that the waking state varies on a continual basis and that these fluctuations account for a large component of response and behavioral variance. We take a circuit-based approach to systems neuroscience, revealing how the nervous system achieves a goal through the synaptic interaction of cells in local and long range circuits, modulated by neurotransmitters, to generate flexible behavior. Support: Postdoctoral fellows are well supported with state-of-the-art equipment dedicated to their experiments. Salary (45-65K) is competitive and commensurate with experience and contribution. Lab website: www.mccormicklab.org<http://www.mccormicklab.org/> Please contact david.mccormick(a)yale.edu<mailto:david.mccormick@yale.edu> with inquiries and applications. Send statement of interest, CV, and the names of three people for letters of recommendation. Positions available Fall, 2016. David A. McCormick Professor, Neuroscience | Yale University School of Medicine Dept. Neuroscience 333 Cedar Street | New Haven, CT 06510 | 203.785.5981 www.mccormicklab.org<http://www.mccormicklab.org/> | www.neurobiology.org<http://www.neurobiology.org/>

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Summer school on neural and sensorimotor foundations of social interaction (BCBT/socSMCs)
by Alexander Maye 21 Jun '16

21 Jun '16

---------------------------------------------------------- CALL FOR PARTICIPATION ---------------------------------------------------------- Barcelona Cognition, Brain and Technology Summer School (BCBT2016) University Pompeu Fabra, Barcelona, Spain. 5-16 September 2016 http://bcbt.upf.edu/bcbt16 Join us for the annual "Barcelona Cognition, Brain and Technology summer school - BCBT2016 " (see http://bcbt.upf.edu/bcbt16/home) to be held 5-16 September 2016 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (http://csnetwork.eu/) This year the school will be supported by the EU project socSMCs (Socializing Sensorimotor Contingencies) - A FET Proactive Horizon 2020 funded research project. (http://socsmcs.eu/) This is the 9th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures are available online (see http://bcbt.upf.edu/bcbt16/media) with the BCBT Podcast interviews with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems- robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2016 edition we plan a 1st week of the school addressing Neural basis of social interaction while the 2nd week will include presentations aimed at the investigation of Socializing Sensorimotor Contingencies. Friday 16 is reserved for the presentation of the student projects to which everybody is invited. Application deadline: July 27th, 2016 For more information on how to apply, please go to http://bcbt.upf.edu/bcbt16/ participate BCBT is organized by Paul Verschure (BCBT Chair), ICREA and University Pompeu Fabra Barcelona, ES Andreas K. Engel (BCBT Co-Chair) University Medical Center Hamburg-Eppendorf (UKE), DE Anna Mura (BCBT Co-Chair), University Pompeu Fabra Barcelona, ES -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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Postdoc Position Available in the Kanan lab at the Rochester Institute of Technology
by Christopher Kanan 21 Jun '16

21 Jun '16

Topic: Machine learning and deep learning for detecting manipulated images One postdoctoral position is available in the laboratory of Christopher Kanan at the Rochester Institute of Technology, in Rochester, NY (USA). The lab specializes in applying machine learning algorithms to solve problems in computer vision and related fields. The candidate will be responsible for developing new algorithms for the detecting manipulated and tampered images. Requirements: Ph.D. in computer science or related field; A research record in computer vision and/or machine learning; Familiarity with deep learning The position is initially for one year, but is renewable upon strong performance for an additional year. The salary is significantly above the typical postdoctoral market rate. Applications should be sent by email to ( christopher.kanan(a)rit.edu) and should include a CV, the expected data of availability, and contact information for 3 references. The starting date is September 2016. I will be available to do interviews during CVPR-2016. -- Christopher Kanan, Ph.D. Assistant Professor Carlson Center for Imaging Science Rochester Institute of Technology Office 3140, Building #76 http://klab.cis.rit.edu/ http://www.chriskanan.com

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PhD and PostDoc Position at Düsseldorf
by Esther Florin 20 Jun '16

20 Jun '16

Please note that the deadline is on the 27th of June. An earlier message was not delivered. Post-Doc and PhD position at the Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf Both positions are in the context of the project “Spontaneous brain activity in healthy subjects and Parkinson's disease”, funded by the Volkswagen foundation. The project aims at providing a characterization of the neurophysiological basis of the brain’s resting state networks (RSNs) by determining how communication between and within RSNs is mediated, using electro-/magnetoencephaolographic (E/MEG) data from healthy participants. In the second part of the project the characterization of RSN electrophysiology will be used to improve our understanding of the pathophysiology of Parkinson’s disease. A particular focus will be on tracing out the electrophysiological mechanisms underlying the effectiveness of dopamine treatment and deep brain stimulation. The jobs involve research design, data collection, data analysis, methods developments/implementation, presenting at conferences, and participating in the writing up of the results. The PostDoc is also expected to assist in the supervision and training of junior lab members. Preferable candidates will have a strong background in physics, neuroscience, electrophysiology, biology, computer science or related fields. Knowledge of MEG/EEG biophysics, data acquisition and analysis, biostatistics, and signal processing or the willingness and capability to quickly acquire this knowledge are essential. Qualities we are looking for: · Good scientific programming and data processing skills · Familiarity with Matlab and LaTeX · Solid knowledge of descriptive and inductive statistics and time series analysis · Previous exposure to M/EEG source estimation, Brainstorm, and fMRI resting state analysis are considered a plus · Strong motivation to carry out neuroimaging studies utilizing MEG and to perform source and connectivity analysis · Knowledge of neuroscience concepts · Good interpersonal and communication skills, particularly in the interaction with subjects and patients (beneficial: knowledge of German) · Excellent skills in written and spoken English; · Proven track record of academic excellence What we offer: The group is part of the Institute for Clinical Neuroscience and Medical Psychology at Heinrich-Heine University, Düsseldorf, located in the capital of Germany’s biggest state. The institute hosts a state-of-the-art 306 channel MEG-system and a 128 channel EEG system as well as a 3T MRI. The Heinrich-Heine University (HHU) is part of the Neuroscience Network Düsseldorf, a collaborative effort jointly with the Research Centre Jülich and the IUF - Leibniz Research Institute for Environmental Medicine Düsseldorf. A particular focus of this network is the investigation of disease-associated pathomechanisms such as the one of Parkinson's disease. At the HHU Düsseldorf the graduate school iBrain has been established and enables graduate students to obtain further formal qualifications in neuroscience. Terms and conditions for this position: Both positions are available from 1st of July 2016 or until filled. The initial appointment is for 2-3 years (postdoc) or 3 years (PhD student). Salary for the PostDoc will be according to E13/TV-L and for the PhD up to 0.65 E13/TV-L. Health insurance is included. The contract will be affiliated with Heinrich Heine University Düsseldorf. Female candidates are encouraged to apply; they will be given preference in cases of equal aptitude, ability, and professional achievements unless there are exceptional reasons for choosing another applicant. Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Legal Code (SGB – Soziales Gesetzbuch) are encouraged to apply. Disabled applicants will be given preferential consideration in the case of equal aptitude. More information about this vacancy? Please contact Esther Florin: esther.florin(a)med.uni-duesseldorf.de<redir.aspx?REF=n0heCJN2SIPp5bF7BPLNIgtomqUCHYIGBBx5vHNmbFYEOMc_OJnTCAFtYWlsdG86ZXN0aGVyLmZsb3JpbkBtZWQudW5pLWR1ZXNzZWxkb3JmLmRl> Are you interested? Please send your application within 3 weeks to: Universitätsklinikum Düsseldorf D 01.2.1 – Kennziffer: 149E/16, Moorenstr. 5, D-40225 Düsseldorf It should include the following documents: · short (one page) application letter · your CV, incl. a list of publications and the names and contact details of two scientists who can provide references · writing sample · one-page summary of your research For administrative reasons, we cannot return applications. In submitting your application, you give your consent to the retention of the application documents by the university hospital Düsseldorf. _______________________________________________ Dr. Esther Florin Lichtenberg Assistant Professor for Systems Neuroscience Institute for Clinical Neuroscience and Medical Psychology Heinrich-Heine University Düsseldorf Tel: +49-(0)211-81-08439 esther.florin(a)med.uni-duesseldorf.de<redir.aspx?REF=n0heCJN2SIPp5bF7BPLNIgtomqUCHYIGBBx5vHNmbFYEOMc_OJnTCAFtYWlsdG86ZXN0aGVyLmZsb3JpbkBtZWQudW5pLWR1ZXNzZWxkb3JmLmRl>

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Postdoctoral Fellowship in multiscale modeling methods for neuroscience simulation
by McDougal, Robert 17 Jun '16

17 Jun '16

Multiscale Modeling Postdoctoral Fellowship available for combining cell biology (reaction-diffusion) and electrophysiology in the NEURON simulator (neuron.yale.edu<http://neuron.yale.edu>). The position involves an unusual mix of software engineering and science, depending on the candidate's background and interests. Mathematically, interesting challenges arise in coupling 1D and 3D simulations and coupling deterministic with stochastic simulation. Biologically, dendrites and spines produce complex morphologies with much possibility for spatial variation in concentration. At the network level, the molecular scale interacts in unexpected ways with cellular and network dynamics. Although the work is technical and focused on software development, paper writing is expected with opportunity for both methods papers and biological papers, typically in collaboration with experimental labs. The postdoc will receive training in a wide range of interdisciplinary skills from computer science, applied math, biophysics, cell biology, electrophysiology, etc. The work is being performed in close collaboration with experimental laboratories, giving the opportunity to immediately determine how closely a modeling technique can match the experimental reality (or how experimental artifact can be reduced so as to match a model). Candidates should have a strong background in computer programming, with demonstrated proficiency in C/C++, Python, or some other major language. Familiarity with any or all of threading, MPI, SBML, or user interface design is a strong plus. Strong interest, though not necessarily research experience, in cell biology and/or neuroscience is a must. Some experience with NEURON is desirable. We are part of the team that develops and disseminates the NEURON multiscale modeling (MSM) environment, used by thousands of researchers over decades (now in year 40). As with most simulators, NEURON has historically emphasized neuronal network connectivity and cell membrane electrical dynamics. Recent advances in genomics and proteomics require that the scales of cell biology be added to the MSM mosaic. This extension is particularly important for understanding major problems in learning and memory (the genesis of long-term potentiation in the interaction of chemo- and electro-) and in understanding and developing treatments for brain disease. The work is being done as a collaboration between SUNY Downstate and Yale University under the auspices of a 5 year continuation of an ongoing grant from the National Institute of Mental Health. The NIH and other agencies (FDA, NASA, NSF, DARPA, others) are making a strong push to enhance multiscale modeling in biomedical engineering across organ systems, but particularly with respect to brain function and brain disease -- this is a major growth area in bioscience. Based on the candidate's background and preferences, job could be in Brooklyn, New Haven or via telecommuting. The labs maintain frequent communication via instant messaging (Slack) with software sharing via git and mercurial. Applicants should contact Bill Lytton or Robert McDougal by email (billl at neurosim.downstate.edu<http://neurosim.downstate.edu> robert.mcdougal at yale.edu<http://yale.edu>; no snail mail please) with a CV and cover letter describing your experience with any relevant technologies (Python, C/C++, MPI, NEURON, etc). SUNY is an equal opportunity employer.

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Biomag 2016 Brain Connectivity Analysis Competition
by Stefan Haufe 17 Jun '16

17 Jun '16

Dear colleagues, we have just launched a data analysis competition on brain connectivity analysis using EEG and MEG. Detailed information on the challenge and the data to be analyzed can be found at http://bbci.de/supplementary/EEGconnectivity/BBCB.html . At this website, we also offer a basic Matlab-based software framework for generating EEG/MEG data in a realistic head model, plotting results, etc. You and your colleagues are warmly invited to participate in the challenge. Please feel free to pass on this link to anyone else who might be interested. Besides active participation we would also be very happy to just hear your general opinion on the design of the challenge, and about any suggestions for extension (in the future). Our challenge is on of three official data analysis competitions of this year's BIOMAG conference. The invitation to participate in all three challenges is pasted below for your convenience. With best wishes, Stefan Haufe and Arne Ewald -------- Forwarded Message -------- Subject: [megcommunity] Biomag 2016 Data Analysis Competition Date: Mon, 30 May 2016 16:56:31 +0200 From: Ole Jensen <ole.jensen(a)DONDERS.RU.NL> Reply-To: Ole Jensen <ole.jensen(a)DONDERS.RU.NL> To: MEGCOMMUNITY(a)JISCMAIL.AC.UK Dear all, We are happy to announce three challenges for the 'Data Analysis Competition' at Biomag 2016. Please see details at http://www.biomag2016.org/data_analysis_competition.php The aim of the competitions is to promote the development and application of new analysis techniques. The challenges will help to elucidate pros and cons of different techniques and attract experts from outside the MEG field. The winners of the competition will be given the opportunity to present their proposal at the Biomag meeting in Seoul (Oct 1-6) in order to spark discussions on analysis. Please encourage colleagues to participate! Best regards, Ole Jensen -- Prof. dr. Ole Jensen http://www.neuosc.com

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FW: 2nd Call for Papers: IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems
by Arindam Basu 17 Jun '16

17 Jun '16

Dear all， You are invited to submit your work to IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems. The submission deadline has been extended to June 30, 2016. Thanks for your contributions! (And apologies for cross-posting if any) IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems AIM AND SCOPE In recent years neuromorphic computing has become an important emerging research area. There has been rapid progress in computational theory, learning algorithms, signal processing and circuit design and implementation, which have shown appealing computational advantages over conventional solutions. The low size, weight, and power of these hardware architectures shows great potential for embedded cognitive systems. Starting from emulating the computational principles and architecture found in neural systems, neuromorphic computing aims to integrate sensory coding, synaptic computing (e.g., STDP), learning and memory, and attempts to develop neuromorphic sensors and chips, and cognitive behaving systems such as robots. Neuromorphic hardware has provided a fundamentally different technique for data representation and learning, e.g., asynchronous events rather than regularly sampled frames of images. Various hardware systems leveraging on neural spikes based computing have been reported to achieve good performance with much lower power consumption. Therefore, neuromorphic computing can inform cognitive systems because the algorithms that run on this hardware must be neurobiologically inspired. A huge potential exists for applying this emerging computing framework to the next generation of cognitive systems and robotics, neuro-inspired sensors and processors, etc. THEMES This special issue aims to report state-of-the-art approaches and recent advances on (a) learning algorithms constrained by limits of biology and neuromorphic hardware (b) neuromorphic hardware for cognitive systems and (c) applications of neuromorphic architecture or hardware to cognitive robotics. Topics relevant to this special issue include, but are not limited to • Neuromorphic cognitive systems • Cognitive robotics • Brain-inspired data representation models • STDP, Spike-based sensing and learning algorithms • Spike based processing and methods for configuring spike-based processors SUBMISSION Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/publications.html and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee <https://mc.manuscriptcentral.com/tcds-ieee> and please select the category “SI: Neuromorphic Computing”. IMPORTANT DATES 15 June 2016-Extended to 30 June 2016: Deadline for manuscript submission 15 Sep 2016: Notification of authors 15 Oct 2016: Deadline for revised manuscripts 15 Nov 2016：Final version GUEST EDITORS Huajin Tang, Sichuan University, China. （htang(a)scu.edu.cn<mailto:htang@scu.edu.cn>） Tiejun Huang, Peking University, China. （tjhuang(a)pku.edu.cn<mailto:tjhuang@pku.edu.cn>） Garrick Orchard，National University of Singapore (garrickorchard(a)nus.edu.sg<mailto:garrickorchard@nus.edu.sg>） Arindam Basu，Nanyang Technological University, Singapore (arindam.basu(a)ntu.edu.sg<mailto:arindam.basu@ntu.edu.sg>） Jeffrey L. Krichmar，University of California, Irvine, US （jkrichma(a)uci.edu<mailto:jkrichma@uci.edu>） Best regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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Fwd: Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul
by Mujdat Cetin 16 Jun '16

16 Jun '16

*Faculty Position in Neural Data and Imaging Sciences at Sabancı University* http://ee.sabanciuniv.edu/en/full-time-faculty-position-neural-data-and-ima… The Faculty of Engineering and Natural Sciences (FENS) at Sabancı University, İstanbul, Turkey invites applications for a full-time faculty position in the area of Neural Data and Imaging Sciences with a targeted start date of Fall 2016. The ideal candidate for this position would have a Ph.D. degree in electrical engineering, computer science, biomedical engineering, computational neuroscience, or a related field, as well as a strong research and publication record in the area of information extraction from challenging neural data. Particular research areas of interest include but are not limited to neuroinformatics, big neural sensor data analytics, biomedical imaging, brain informatics, signal processing of neural activity, computational neuroimaging, neural image analysis, machine learning for understanding the brain, and connectomics. Sensing/imaging modalities of interest include but are not necessarily limited to MRI, fMRI, DTI, PET, EEG, MEG, ECoG, and several forms of microscopy. Application areas of interest include, but are not limited to healthcare, neurotechnology, brain-computer interfaces, neurorehabilitation, and neurorobotics. The faculty member will have a primary affiliation with the Electronics Engineering program but will be expected to conduct collaborative research with other programs in FENS as well. Applications from candidates at all ranks are encouraged. For candidates at the Assistant Professor level, post-doctoral research experience is a plus. Successful candidates are expected to develop externally-funded internationally-recognized research programs; teach undergraduate and graduate courses; advise and mentor graduate and undergraduate students; and undertake service responsibilities. Successful candidates will have the opportunity to benefit from the state-of-the-art infrastructure of the brand-new Nanotechnology Research and Application Center (SUNUM), as well as to be involved in the Professional Master’s Program in Data Analytics. Sabancı University, a privately funded premier academic institution, established in 1996 in its state-of-the-art campus located in suburban İstanbul. The university offers 13 undergraduate programs and 38 graduate programs in three faculties (Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, School of Management). The University aims to establish a high standard of academic excellence and a research-oriented atmosphere for its international faculty and students, while nurturing productive relationships particularly with the industries in the region which constitute the industrial heartland of Turkey. The medium of instruction is English. In 2015, Sabancı University ranked 13th globally in the Times Higher Education (THE) ranking of the top 100 universities under 50 years old, and 21st in the THE Asia university rankings. In the recently announced THE ranking of the world’s best small universities in 2016, Sabancı University ranked 10th globally. It ranked first among all universities in Turkey in the University Entrepreneurship and Innovation Index of the Ministry of Science, Industry, and Technology in 2015. Detailed information about the Electronics Engineering Program at Sabancı University can be found at http://ee.sabanciuniv.edu/ Applicants should submit their applications online through https://crm.sabanciuniv.edu/acadcv/application.php and provide a cover letter, curriculum vitae, statement of research interests, statement of teaching interests, and at least three professional references. Review of applications will begin on July 1, 2016 and will continue until the position is filled. -- Mujdat Cetin Technical Program Co-chair, IVMSP 2016 -- http://ivmsp2016.org Technical Co-chair, FUSION 2016 -- http://fusion2016.org Faculty Member Faculty of Engineering and Natural Sciences Sabanci University Orhanli, Tuzla 34956, Istanbul, Turkey Phone : +90 (216) 483-9594 Fax : +90 (216) 483-9550 E-mail : mcetin(a)sabanciuniv.edu Web : http://spis.sabanciuniv.edu

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Scientist II opening in Computational Neuroscience at the Allen Institute for Brain Science (Seattle, USA)
by Costas Anastassiou 16 Jun '16

16 Jun '16

Scientist II opening in Computational Neuroscience Lab headed by Dr. Costas Anastassiou Allen Institute of Brain Science Do you want to make a difference in our understanding of brain disorders? Do you have a solid background in computational neuroscience/scientific computing/simulation-based research and curious about how the brain works? Are you able to meet aggressive timelines and deliverables in a collaborative environment? The laboratory headed by Dr. Costas Anastassiou at the Allen Institute is currently looking for a talented Scientist II to work on large-scale, biophysically detailed brain circuit simulations to explore the pathophysiology of epilepsy. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. Position summary: We are seeking to fill a position at the level of Scientist II (SciII) to work on an exciting new translational neuroscience pilot project at the Institute. The goal of this project is to investigate cellular and circuit mechanisms of epileptogenesis in human hippocampus. To address these questions, we seek to develop a faithful computational model of the human epileptogenetic hippocampus consisting of a multitude of reconstructed, interconnected and biophysically faithful neurons emulating anatomical and dynamical characteristics of the pathological brain tissue. For examples of biophysically realistic network models as pursued in this work see [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015]. The aim of the computational model is to (i) understand how synaptic, cellular and connectivity properties of pathological brain tissue give rise to pathophysiological network dynamics, (ii) understand how pathophysiological dynamics are reflected on signals such as depth-, ECoG- and EEG-recordings, and (iii) identify intervention targets to abort or suppress pathological activity. Importantly, the computational effort will occur in parallel with novel in vitro experiments in brain slices derived from patients undergoing surgery for treatment refractory mesial temporal lobe epilepsy that will provide the data on which the computational modeling will be based. The project will be pursued in collaboration with in-house experimental colleagues as well as neurologists and neurosurgeons and has a guaranteed duration initially of 18 months beginning in the summer of 2016. Responsibilities: · Construct detailed biophysical models using cable theory and NEURON-software. · Design, implement and analyze large-scale network simulations. · Publish/present findings in peer-reviewed journals/scientific conferences. · Prepare written and oral reports on a regular basis. · Publish scientific findings in peer-reviewed journals and relevant conferences. · Maintain clear and accurate communication with supervisor and team members. Qualifications: · PhD degree in computational neuroscience, physics, biology, bioengineering or related fields. · Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as python. · Ability to meet aggressive timelines and deliverables in a collaborative environment. · Strong publication record. · Experience in pursuing research projects in collaborative fashion. · Proven independent thinking and flexibility. · Familiarity with in vitro and in vivoelectrophysiological monitoring techniques and data analyses. · Strong written and verbal communication skills. How to apply: Visit the Allen Institute for Brain Science Careers website and fill out your information for the Scientist II-position under “2200-Modeling, Analysis and Theory”.

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Programmer wanted for Neuroscience and Neuroprosthetics Lab
by Sliman Bensmaia 16 Jun '16

16 Jun '16

Lab at the cutting edge of neuroscience and neurotechnology looking for a programmer to keep us at the cutting edge! The lab has two general pursuits: discover the neural basis of touch and proprioception – how do patterns of activation in the nerve and in the brain mediate our ability to feel objects by touch and sense the position and movements of our limbs in space? – and to develop a somatosensory neuroprosthesis – How can we recreate the sense of touch by stimulating the nerve or the brain. See http://bensmaialab.org for additional information regarding the lab and the exciting work we are doing. Ideally, looking for a motivated, intelligent individual who works well with people, someone who might be able to make a long term commitment to the lab and help us build something special. Job Summary Responsible for interfacing the various machines in the lab (robots, sensors, data acquisition systems, etc.) with computers and with each other to run neurophysiological and behavioral experiments with human and non-human primates. Education Bachelor's degree in computer science or a related field of engineering required. Experience One year of relevant programming experience required. Experience developing, implementing, debugging and maintaining applications required. Two years of professional programming experience preferred. Experience developing applications using C++, Matlab, Python, Java, MySQL, Visual Basic, and/or any other object oriented programming language preferred. Experience building and debugging electronic systems preferred but not required. Knowledge of electromechanical systems preferred but not required. Interest in and/or knowledge of neurophysiology preferred but not required. -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203 -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203

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Postdoctoral positions available in Dr. Suzanne Haber's lab
by Sarah Heilbronner 16 Jun '16

16 Jun '16

2 Postdoctoral positions are available in Dr. Suzanne Haber’s lab at the University of Rochester. The studies use nonhuman primate anatomical connectivity studies in combination with MRI in nonhuman and human primates to investigate: 1. Reward pathways and their interface with cognitive and motor control circuits; and 2. Circuitry underlying obsessive-compulsive disorder (OCD). The first project is designed to delineate connectional hubs within cortex and basal ganglia structures that receive convergent inputs from reward and cognitive control regions. Specific focus is on dorsolateral, ventrolateral, ventromedial, orbital, and anterior cingulate cortices and the striatum and amygdala. The approach is to use traditional anatomical tract-tracing circuitry techniques in combination with state of the art imaging methods such as diffusion and functional MRI to explore the location of these hubs in both animal and human brains and their relationship to disease. The second project is designed to characterize the organizational principles that govern white matter organization and trajectories connecting frontal areas with particular emphasis on the connectional hubs. These data will form the basis for segmenting white matter with respect to function in order to identify and evaluate diffusion MRI changes associated with OCD and its treatments. These studies are part of a Silvio O. Conte Center grant involving several Institutions and multiple techniques investigating the neurocircuitry of OCD and effects of neurostimulation. The ideal applicants would have background in systems neuroscience and/or neuroimaging. These positions will give opportunities to interact with pioneering scientists through the Conte Center grant and will provide unique training at the forefront of anatomy, neuroimaging, and translational neuroscience. Applicants should submit a summary of research interests, a curriculum vitae and names of three references to: Dr. Suzanne Haber, Department of Pharmacology and Physiology: Email: Suzanne_Haber(a)URMC.Rochester.edu. (AA/EOE).

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Extended Deadline for Goettingen's Advanced Computational Neuroscience Summer School
by Agostina Palmigiano 16 Jun '16

16 Jun '16

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Extended deadline for applications for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 06th - 16th, 2016 DEADLINE *June 24, 2016* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced mathematical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day theoretical blocks + 4 evening lectures in charge of the following researchers: * Vijay Balasubramanian <http://www.sas.upenn.edu/%7Evbalasub/public-html/Home.html>, University of Pennsylvania, Philadelphia, USA * Jason Kerr <http://www.caesar.de/bbo.html>, Center of Advanced European Studies and Research, Bonn, Germany * Gilles Laurent <http://brain.mpg.de/research/laurent-department.html>, MPI for Brain research, Frankfurt, Germany * Tobias Moser <http://www.innerearlab.uni-goettingen.de/>, University Medical Center, Göttingen Germany * Erwin Neher <http://www.nobelprize.org/nobel_prizes/medicine/laureates/1991/neher-bio.ht…>, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany * Magnus Richardson <https://www2.warwick.ac.uk/fac/sci/systemsbiology/staff/richardson/>, University of Warwick, Conventry, England * Wolf Singer <http://www.esi-frankfurt.de/research/singer-lab/>, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany * Misha Tsodyks <http://www.weizmann.ac.il/neurobiology/labs/tsodyks/>, Weizmann Institute of Science, Rehovot, Israel The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 euros. Course language is English. Housing is provided by the school. Travel grants can be provided upon request. Only 15 participants will accepted. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *June 24, 2016*. Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Manuel Schottdorf, Jens Wilting Best wishes and looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

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Postdoctoral Position in Computational Neuroscience at Georgia State University
by Yaroslav Molkov 16 Jun '16

16 Jun '16

A postdoctoral/research associate position in computational neuroscience for the initial duration of one year is immediately available in the externally funded project focusing on multi-scale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA) and Yaroslav Molkov (Dept. of Mathematics, Georgia State University, Atlanta, GA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a strong research record, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Georgia State University is an urban public research university. Georgia State students and employees can take advantage of the university’s easy access to Atlanta’s rich creative environment, diversity of cultures and lifestyles, and wide variety of indoor and outdoor activities. The world’s busiest airport is just minutes from campus. Atlanta provides Georgia State’s faculty and students with an urban laboratory, enabling them to draw creative inspiration. Interested candidates are encouraged to contact Dr. Molkov (ymolkov(a)gsu.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Molkov will be available to answer questions about this position during Organization for Computational Neuroscience Annual meeting, July 2-7, 2016, Jeju, Korea. ================================= Yaroslav Molkov, Ph.D. Associate Professor Georgia State University Department of Mathematics and Statistics 30 Pryor St SW, 750-COE, Atlanta, GA 30303 Office: 722-COE Phone/fax: (404) 413-6422 Email: ymolkov(a)gsu.edu

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Final Call for Papers: Extracellular Space
by Reinoud Maex 16 Jun '16

16 Jun '16

JOURNAL OF INTEGRATIVE NEUROSCIENCE http://www.worldscinet.com/jin Call for Papers! Special Issue on Extracellular Space In experimental neuroscience, most electric signals are picked up from the electrolytic (or colloidal) solution that constitutes extracellular (interneuronal) space, yet the origin of these potentials is incompletely understood. Even more, theoreticians have recently argued about the physical principles underlying these phenomena. The present special issue invites experimental and theoretical work that can shed light on electric phenomena in extracellular space, with an emphasis on extracellular potentials and endogenous electric field interactions. The contributions solicited are original research papers and comprehensive reviews on methodological aspects. Submission deadline: 30 September 2016 Contact: Dr. Reinoud Maex reinoud.maex(a)ens.fr Questions that may be addressed are (but are not limited to): 1. The nature of extracellular potentials - What is nature of the electric currents, and what is the velocity (distribution) of the ions involved? Since membrane currents underlie the extracellular currents, what are the relative contributions of synaptic versus voltage-gated channels, excitatory versus inhibitory synapses, capacitive currents? How important are Lorenz forces between currents (due to the generated magnetic fields) and is there a contribution of polarization currents? - Is extracellular space purely resistive, or is a capacitive component involved, and what factors (such as ionic concentration, Debye shielding, etc.) contribute to its resistivity? 2. Modeling of extracellular potentials and electric field interactions - What level of detail is needed to model extracellular electrical phenomena, and which formalism can be employed? How valid is the cable equation, or need slow concentration changes of the major ionic components involved be modeled explicitly? How can LFP calculations be incorporated in simulation software? - Can volume transmission be simulated adequately as volume conductors? Are ephaptic coupling effects adequately simulated in one dimension? 3. Neuronal inference from measured extracellular potentials - What is the importance of the electrode characteristics for the proper interpretation of the measured signals? - What are the underlying assumptions, and limitations, of current-source-density analysis? How valid is the dipole approximation? Why are recent experiments being interpreted in terms of monopoles, and can single-compartmental model neurons generate local field potentials at all? - What can be learned from the power density distribution of signal frequencies? 4. Neurostimulation - What is the effect on neurons of an externally applied current or potential, and what mechanism (or rationale) underlies deep brain stimulation? 5. Physiological roles of extracellular potentials and endogenous electrical fields - Do extracellular potentials contribute to neuron-neuron and neuron-glia communication? Can there be a role for extracellular potentials in the homeostasis, clearance, and volume regulation of extracellular space, and in the control of blood flow and of the blood-brain-barrier. - What is the integrative role of endogenous electrical fields in brain function?

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Papers on networks of neurons with nonlinear dendrites and Binary Synapses trained by structural plasticity
by Arindam Basu 16 Jun '16

16 Jun '16

Dear all Let me draw your attention to some work done by our group over the past few years in developing networks of neurons with lumped dendritic nonlinearity and binary synapses. The connections on each dendritic branch is sparse and the neurons learn to classify patterns when trained using different structural plasticity rules. Thus learning happens by modiying network connection matrix and not by weight change. These networks have advantage for hardware implementations--reduced memory and resistance to mismatch due to binary synapses. We have demonstrated supervised and unsupervised spike time based learning rules and have used these networks as readout of liquid state machines, to improve the reservoir in a liquid state machine, to classify spike latency patterns like tempotron or to classify MNIST images. I summarize the papers below and also include arxiv links for your reading pleasure. 1. S. Hussain, S. C. Liu and A. Basu, "Biologically plausible, Hardware-friendly Structural Learning for Spike-based pattern classification using a simple model of Active Dendrites," Neural Computation , vol. 27, no. 4, pp. 845-897, April 2015 link: http://arxiv.org/pdf/1411.5881.pdf ** Margin based learning, spike time based supervised learning, results on UCI dataset 2. S. Roy, A. Banerjee and A. Basu, "Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations," IEEE Trans. on Biomedical Circuits & Systems , vol. 8, no. 5, pp. 681-695, 2014. link:http://arxiv.org/pdf/1411.5458.pdf ** Readout of LSM, 30X less binary synapses compared to parallel perceptron 3. S. Roy, P. P. San, S. Hussain, Lee Wang Wei and A. Basu, "Learning Spike Time Codes through Morphological Learning with Binary Synapses," IEEE Trans. on Neural Networks & Learning Systems , vol. 27, no. 7, July 2016. link: http://arxiv.org/pdf/1506.05212.pdf ** Classifying spike time latency patterns, comparison with tempotron 4. S. Hussain and A. Basu, "Multi-class Classification by Adaptive Network of Dendritic Neurons with Binary Synapses using Structural Plasticity," Frontiers in Neuroscience , Mar, 2016. doi: 10.3389/fnins.2016.00113 link: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4814530/ ** Ensemble learning, adaptive allocation of dendrites, performance on MNIST, hardware savings analysis 5. S. Roy and A. Basu, "An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks," IEEE Trans. on Neural Networks and Learning Systems , accepted, 2016. link: http://arxiv.org/pdf/1512.01314.pdf ** unsupervised spike time based learning, sequence learning 6.S. Roy and A. Basu, "An online structural plasticity rule for generating better reservoirs," Neural Computation , accepted, 2016. link: http://arxiv.org/pdf/1604.05459.pdf ** Improving separation property of reservoirs in LSM Thanks Arindam Basu Assistant Professor School of EEE Nanyang Technological University http://www3.ntu.edu.sg/home/arindam.basu/ Regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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comp-neuro current status
by Wijnants Mike 16 Jun '16

16 Jun '16

Dear comp-neuro user, As you may have noticed the comp-neuro mailing list has been offline for a few weeks. Unfortunately we lost access to the previous domain name because of miscommunication with the domain provider. To serve the computational neuroscience community we have decided to restart the service with a temporary domain as comp-neuro(a)neuroinformatics.be We plan to migrate to another domain name in the future and will announce this when ready. Groetjes, Erik

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PhD position on Multistable perception : modelisation and analyse gaze and electroencephalographic correlates
by Alan Chauvin 20 May '16

20 May '16

Application are invited for a PhD studentship in Modelling multistable perception by stochastic resonance processes. Closing dates for applications : 15th June 2016. In summary, the main objectives of this PhD are to unify available models of stochastic resonance and to experimentally evaluate the contribution of gaze noise to decision making processes in multistable perception. To this aim, the successful candidate will contribute to theoretical, methodological, and experimental studies. Three research axes are identified: (1) developing stochastic resonance models and comparing these models to the recent Bayesian models described in [Moreno-Bote, Knill & Pouget, 2011]; (2) development of a tool set for the analysis of the neuronal correlates based on EEG feature extraction and machine learning for perceptual change prediction; (3) the design of experimental paradigms for multistable perception, with gaze and/or EEG recordings. This subject is on a confluence of multiple research axes, all essential for a successful PhD : • Stochastic resonance modelling: GIPSA-lab/CICS • Retinal modelling: GIPSA-lab/ViBS, LPNC • Study of micro-saccades: LPNC, GIPSA-lab/CICS • Gaze experiment design: GIPSA-lab/ViBS, LPNC • Joint Gaze and EEG experiment design : GIPSA-lab/ViBS • EEG signal analysis : GIPSA-lab/ViBS. Apllicants should have a strong background in stochastic signal processing and have strong interest in pstychophysics, oculometry and EERG recording. French is not mandatory. The Gipsa-lab is situated in the University Grenoble-Alpes (UGA : http://www.univ-grenoble-alpes.fr) The UGA is located in Grenoble, an international city and a wonderful place to live, work, and study. Nestled in the Alps, Grenoble enjoys an incomparable natural setting, with opportunities for sports lovers and nature enthusiasts alike. More information on : https://www.adum.fr/as/ed/page.pl?site=edeeats&page=CDlisteSujetFleche *PhD director : * Steeve Zozor (CR, CNRS, HDR EEATS, GIPSA-lab, research group CICS) *steeve.zozor(a)gipsa-lab.grenoble-inp.fr <steeve.zozor(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 71 04* *PhD supervisors : * Ronald Phlypo (MCF Grenoble-INP, GIPSA-lab, research group ViBS) *ronald.phlypo(a)gipsa-lab.grenoble-inp.fr <ronald.phlypo(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 64 86* Alan Chauvin (MCF UGA, lab LPNC, research group Perception et Sensori-Motricité) alan.chauvin@ <alan.chauvin(a)upmf-grenoble.fr>univ <alan.chauvin(a)upmf-grenoble.fr>-grenoble- <alan.chauvin(a)upmf-grenoble.fr> alpes <alan.chauvin(a)upmf-grenoble.fr>.fr <alan.chauvin(a)upmf-grenoble.fr>*, tel 33 (0)4 76 82 69 26* -- Laboratoire de Psychologie et NeuroCognition LPNC CNRS UMR 5105 Universite Pierre-Mendes France (UPMF) Batiment Science de l'Homme et Math (BSHM) 38041 Grenoble Cedex 09 Alan.Chauvin(a)upmf-grenoble.fr 33 (0) 476 825 926

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Researcher positions at ATR Brain Labs (Kyoto, Japan)
by Haruo HOSOYA 20 May '16

20 May '16

Dear all, I am pleased to announce that ATR Brain Labs in Kyoto, Japan has open positions for researchers or engineers in theoretical visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories ----------------------------------------------------------------------------------------------------- * Researcher and Engineer positions at ATR Brain Labs, Kyoto, Japan Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers and research engineers in computational visual neuroscience. We seek for applicants who are particularly interested in theoretical studies on hierarchical vision models based on statistical learning. The studies should be motivated toward understanding of computation and representation in visual cortex, where a stronger emphasis should be put on biological connections and theoretical insights rather than short-term applicability. Specific topics may include but are not limited to: - category-specific representations in higher visual areas - visual recognition and imagery - relationship between neural activities and visual consciousness (perception) * Requirements for Researchers Applicants must have a Ph.D. or be near completion. Successful candidates will have expertise in one of the mathematical areas listed below, as well as strong interest in neuroscience and good programming experience. – computational neuroscience, machine learning, computer vision * Requirements for Research Engineers Applicants must have good programming experience and strong motivations to take part in the research above mainly from program development. * Number of openings A few * Employment conditions Position : Full-time Researcher / Full-time Research Engineer Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan * Application materials Please submit the following five materials to the contact address below, either in printed or electronic form: 1 CV 2 List of publications 3 Reprints of 1-3 major publications (applicants for Researchers) or summary of past projects 4 Essay (up to two pages in A4 or letter size) describing: – Summary of your previous research and/or development – Interests for research – Additional research skills not directly foreseeable from 1 or 2 5 Recommendation letters from more than two researchers If submitted in printed form, original documents will not be returned. * Judging system After documentary examination, we ask for presentation and interview if needed. * Starting date Soon (negotiable) * Deadline for application Opens until positions are filled. * Contact Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories (Application for Researcher Position) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Web: http://www.cns.atr.jp/dbi/en/open-positons/ * Use of personal data All personal data received will be properly managed and only be used for the purpose of recruitment.

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Postdoctoral fellowship in primate neurophysiology, University of Arizona (Gothard Lab)
by Ueli Rutishauser 19 May '16

19 May '16

*Postdoctoral fellowship in primate neurophysiology.* *University of Arizona, College and Medicine, Department of Physiology, Tucson. * Applications are invited to join a Medical Research Fund for Neuroscience and NIH funded research program investigating the neural mechanisms of emotion and social interactions in non-human primates. The applicant will carry out neural recordings from the amygdala and medial prefrontal cortex of macaque monkeys using multielectrode arrays and will explore the patterns of neural activity within the brain and between brains of two monkeys engaged in social interactions. This will include, behavioral work with monkeys (training and preparation them for electrophysiological recordings), neurophysiological recordings, and data analysis. The applicant will have access to state-of-the art equipment, facilities, and will work in a team with established expertise in behavioral neurophysiology, with ample opportunity to learn new experimental approaches, techniques and methods. Candidates should have a recent PhD in systems or computational neuroscience with a track-record of first-author publications. Strong analytical and programming (Matlab or similar), skill and expertise in data analysis and statistics are essential. Individuals with strong analytical and technical skills who wish to expand into neurophysiological recordings are encouraged to apply, provided they are prepared to run quasi-independently neurophysiological experiments. Excellent written and oral English communication skills are required. The position is available from July 1st 2016, with a competitive salary commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Applicants must pass background screening and health checks to be able to work with monkeys. The University of Arizona is an equal opportunity employers and women and minorities are encouraged to apply. Interested applicants should send a CV, statement of research accomplishments and interests, copies of 2-3 representative publications and contact information for 2-3 reference letters to Katalin Gothard at kgothard(a)email.arizona.edu Informal inquiries are welcome. Further information about the lab can be found at www.gothardlab.com (Please note I am posting this on behalf of a collaborator, please do not contact me for this job).

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15 PhD positions for PACE, an EU funded Innovative Training Network for understanding Perception and Action in Complex Environments
by Laurent Perrinet 19 May '16

19 May '16

Dear colleagues, PACE (Perception and Action in Complex Environments) is an Innovative Training Network funded by the Marie Sklodowska-Curie program of the European Union starting on April 1st, 2015. The network involves 10 academic and private full partners, from 6 European and associated countries (France, Spain, Italy, Netherlands, UK, Israel), plus 5 associated partners (private companies and public organizations). The network gathers a broad range of expertise from experimental psychology, cognitive neurosciences, brain imaging, technology and clinical sciences as well as transferable skills. The PACE network promotes interdisciplinary research and training in the field of human movement sciences with a strong emphasis on perception-action coupling in complex environments. We focus on changes of this coupling across lifespan and in pathological diseases affecting the nervous system. The goal is to train PhD students through collaborative research projects, international courses and workshops. -> 15 PhD positions, starting next fall, are offered across the different network sites. You can find a short description of the proposed PhD projects at the following link: http://www.int.univ-amu.fr/IMG/pdf/PACE_Table_positions.pdf Applications are welcome immediately and until the end of May (but some specific timing constraints may be enforced in some of the partners' sites: please get more information from local contacts). You will find further general information (sections 1 to 3), eligibility and application conditions (section 4) here: http://www.int.univ-amu.fr/-ITN-Marie-Curie-network-PACE Thanks for distributing this announcement to potential candidates, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet

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［CFP］ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA)
by 刘伟锋 18 May '16

18 May '16

[Apologies for cross-postings] ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Call for papers ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA) December 12, 2016 http://staff.ustc.edu.cn/~xinmei/ICDM2016_Workshop/ICDM2016_Workshop.html ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Human activity analysis is an important area of computer vision and pattern recognition research with the rapid development of computing and sensing technologies such as the emergence of social network and wearable devices. It is becoming more and more critical to develop human-centered multimedia analytics including human behavior recognition, personal data mining, experiences of wearable-device applications, intelligent surveillance, semantic relationship analysis between heterogeneous multimedia. The development of the Internet of Things opens up great potential. Many data mining or machine learning techniques have recently been successfully developed and applied to human activity analysis. For example, smart devices (e.g. Microsoft’s SenseCam, Google Glass, smart phone, smart watches, portable EEG acquisition devices, etc.) facilitate the capture and collection of human activity multimedia; sparse representation is widely employed for human activity recognition; multi-view learning algorithms significantly boost the performance of human re-identify; manifold learning algorithms dramatically enhance the recognition rates in human behavior analysis where there is only a few labeled samples; and deep learning has produced promising results in many human-centered applications. Motivated by the inclination to collect a set of recent advances and results in these related topics, provide a platform for researchers to exchange their innovative ideas and attractive improvements on human activity analysis, and introduce interesting utilizations of data mining and machine learning algorithms for particular human-centered applications, this workshop will target emergent data mining methods for human activity analysis. To summarize, this workshop welcomes a broad range of submissions developing and using data mining techniques for human activity analysis. We are especially interested in 1) theoretical advances as well as algorithm developments in data mining for human activity analysis, 2) reports of practical applications and system innovations in human activity analysis, and 3) novel data sets as test bed for new developments, preferably with implemented standard benchmarks. The following list suggests topics of interest (but not limited to): • Multi-view Learning algorithms for Human Activity Analysis • Sparse and/or Manifold Learning for Human Activity Representation • Human Action Recognition in Images/Videos • Human Behavior Analysis • Human-centered Social Media Analytics • Smart Computing for Personal Data Mining • Deep Learning for Human-centered Media • Parallel Computing for Human-centered Media • Experiences of wearable-device applications • Human-centered Data Visualization • Analytics developed from Computational Psychoanalysis and related underpinnings. Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Important Dates August 12, 2016: Due date for full workshop papers September 13, 2016: Notification of workshop papers acceptance to authors September 20, 2016: Camera-ready deadline for accepted papers December 12, 2016: Workshop date Instruction for paper submission The page limit of workshop papers is 8 pages in the standard IEEE 2-column format ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html) including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at http://icdm2016.eurecat.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system ( https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S08&un… ). Registration and expenses Every workshop paper must have at least one paid registration in order to be published, no matter whether the author is a workshop organizer or an invited speaker. Workshop organizers: Dr. Xinmei Tian Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China, 230027. Email: xinmei(a)ustc.edu.cn Website: http://staff.ustc.edu.cn/~xinmei/ Phone: +86 551-63600281 Dr. Weifeng Liu, China University of Petroleum (East China), #66, Changjiang Road West, Huangdao District, Qingdao 266480, China, Email: liuwf(a)upc.edu.cn Prof. Fionn Murtagh Department of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK, and Department of Computing, Goldsmiths, University of London, London, SE14 6NW, UK.. Email: fmurtagh(a)acm.org Website: http://www.fmurtagh.info

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PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada
by Tatsuno, Masami 17 May '16

17 May '16

[Apologies for cross-postings] --- PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada --- One PhD/MSc student position is available immediately in the labs of Prof. Masami Tatsuno and Prof. Majid Mohajerani at the Canadian Centre for Behavioural Neuroscience (CCBN), University of Lethbridge, Canada (http://www.uleth.ca/artsci/neuroscience/about) We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous neural activity during sleep facilitates performance improvement. We use the state-of-the-art multi-electrode recordings from freely behaving rodents and imaging techniques such as two-photon Calcium imaging and wide-field voltage imaging. The successful candidate will investigate how external manipulation of sleep contributes to consolidation of memory. Several different methods including transcranial direct current stimulation, targeted memory reactivation and optogenetics will be employed. The successful candidate will also have an opportunity to participate in developing a novel analysis method for neural signals and modeling memory function. A high degree of interaction with the labs in the Brain Dynamics group ( http://lethbridgebraindynamics.com ) as well as in CCBN ( http://www.uleth.ca/artsci/neuroscience ) will be also expected. Motivated candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno (tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca>). Please do not have reference letters sent unless requested. Applicants should put "SysNeuro PhD/MSc recruitment" in the subject of their email. Various funding will be available depending on the candidate's qualification. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Associate Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca> http://lethbridgebraindynamics.com/masami_tatsuno Majid Mohajerani, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: mohajerani(a)uleth.ca<mailto:mohajerani@uleth.ca> http://lethbridgebraindynamics.com/majid-mohajerani/ *********************************************

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[jobs] Lecture in Computer Science, Aberystwyth UK
by Patricia Shaw 17 May '16

17 May '16

Lecturer in Computer Science, Aberystwyth University, Wales, UK £34,576 - £37,768 per annum Closing Date: 19 June 2016 Interview Date: 6 July 2016 Ref No: IMPACS.16.06 Further details and to apply: https://jobs.aber.ac.uk/en/vacancy/lecturer-in-computer-science-264661.html The Department of Computer Science wishes to appoint a lecturer to undertake teaching and research. The successful candidate will be expected to contribute to both postgraduate and undergraduate teaching, and to demonstrate a strong research record in an area that is of direct relevance to at least one of the four research groups within the Department: *Intelligent Robotics; Vision, Graphics and Visualisation; Advanced Reasoning; and Bioinformatics*, with a preference for *Bioinformatics or Space Robotics*. The interviewed candidates will be expected to present a lecture or lecture excerpt as part of the selection process. Prospective applicants may discuss the post informally with the Head of Department, Dr Bernie Tiddeman (e-mail: bpt(a)aber.ac.uk) or the Director of the Institute of Maths, Physics and Computer Science, Professor Qiang Shen (qqs(a)aber.ac.uk)

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Postdoctoral Research Scientist Position in Neuroimaging and Neurostimulation
by Paul Sajda 16 May '16

16 May '16

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) directed by Prof. Paul Sajda at Columbia University has an immediate opening for a Postdoctoral Research Scientist (Fellow) to participate in a project focused on building and characterizing an integrated closed-loop multimodal neuroimaging and neurostimulation system for use in humans. This is a joint project with the Medical University of South Carolina (Profs. Truman Brown and Mark George ) where we are building an EEG/fMRI/TMS instrument capable of real-time and on-line neurostimulation and imaging. Our long term goal is to use the instrument for both basic science and clinical applications. The successful applicant will be involved in both developing and testing the instrument as well as conducting novel scientific experiments and clinical studies. Applicants should have a background in several of the following area: Recording and analysis of simultaneous EEG and fMRI , real-time signal processing, recording and analysis of simultaneous EEG and TMS, instrumentation (digital and analog electronics), machine learning. A Ph.D. in Electrical Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/>) is within the Department of Biomedical Engineering at Columbia University. We are part of a dynamic and vibrant neuroengineering environment which includes the Center for Neuroengineering and Computation (cnec.columbia.edu <http://cnec.columbia.edu/>) the Zuckerman Mind Brain Behavior Institute (zuckermaninstitute.columbia.edu <http://zuckermaninstitute.columbia.edu/>) and the Data Sciences Institute (dsi.columbia.edu <http://dsi.columbia.edu/>). Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The position is available immediately and applicants will be considered on a rolling basis. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/> Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu <http://tnsre.bme.columbia.edu/> Chair, IEEE BRAIN Initiative http://brain.ieee.org <http://brain.ieee.org/>

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CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016
by Giuseppe Nicosia 16 May '16

16 May '16

CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016 [Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 2nd International Workshop on Machine learning, Optimization and big Data - MOD 2016 An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders, Volterra (Pisa) -Tuscany, August 26-29, 2016 http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> CALL FOR PAPERS Paper submission deadline: May 28, 2016 http://www.taosciences.it/mod/call-for-papers/ <http://www.taosciences.it/mod/call-for-papers/> https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> KEYNOTE SPEAKERS + Nello Cristianini, Bristol University, UK + George Michailidis, University of Florida, USA + Stephen H. Muggleton, Imperial College London, UK + Panos Pardalos, University of Florida, USA Other Keynote Speakers will be announced soon POST-PROCEEDINGS by Lecture Notes in Computer Science - Springer JOURNAL SPECIAL ISSUE Computational Optimization and Applications Journal - Springer INDUSTRIAL PANEL + Amr Awadallah, Founder and CTO at Cloudera, San Francisco, USA + Giovanni Giuffrida, CEO and co-founder at Neodata Group, Italy + Andy Petrella, Data Scientist and co-founder at Data Fellas, Liège, Belgium + Daniele Quercia, Head of Social Dynamics group at Bell Labs, Cambridge, UK + Fabrizio Silvestri, Principal Research Scientist at Yahoo London, UK TUTORIALS + Model Selection and Error Estimation Without the Agonizing Pain”, Luca Oneto and Davide Anguita, DIBRIS – Polytechnic School – University of Genova, Italy + “Information Geometry: Applications in Machine Learning and Stochastic Optimization”, Luigi Malagò, Department of Electrical and Electronic Engineering, Shinshu University, Nagano, Japan SPECIAL SESSIONS + Deep Learning: Theory, Architectures, Algorithms and Applications + Data-driven Algorithmics – Data for informed decisions + Multi-Objective Optimization Algorithms The MOD 2016 workshop will consist of four days of workshop sessions and special sessions. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings. MOD 2016 Types of Submissions When submitting a paper to MOD 2016, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the workshop. MOD 2016 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2016 web site. Journal Special Issue on Computational Optimization and Applications Journal The top 8-10 accepted articles will have the opportunity to publish a revised and expanded version of their conference paper in the Computational Optimization and Applications Journal – Springer. MOD 2016 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> The deadline is May 28, 2016 Important Dates for the MOD 2016 Post-Proceedings + Paper Submission Deadline: May 28, 2016 + Decision Notification to Authors: June 10, 2016 + Camera Ready Submission Deadline: June 30, 2016 + Deadline for early Registration as Presenting Author: July 10, 2016 + MOD 2016 Workshop: August 26-29, 2016 MOD 2016 Program Committee The current MOD 2016 Program Committee includes 300+ confirmed Program Committee members: http://www.taosciences.it/mod/program-committee/ <http://www.taosciences.it/mod/program-committee/> Any questions regarding the submission process can be sent to workshop organizers: modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> We look forward to seeing you in Tuscany! Giovanni Giuffrida, Giuseppe Nicosia & Panos Pardalos - MOD 2016 Chairs. http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> MOD 2015 Edition: http://www.taosciences.it/mod-2015/MOD <http://www.taosciences.it/mod-2015/MOD> 2015 MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 3rd International Synthetic & Systems Biology Summer School - SSBSS 2016 * Biology meets Computer Science & Engineering * July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/ssbss/ ================================================================== 2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016 August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/mod/ ==================================================================

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[CALL FOR PAPERS] Special Session on Computational Intelligence Techniques and Applications at TENCON 2016
by Teng Teck Hou 15 May '16

15 May '16

[Apologies for cross-postings] ############################################### CALL FOR PAPERS TENCON 2016 Special Session - Computational Intelligence Techniques and Applications November 22 - 25, 2016, Marina Bay Sands, Singapore http://www.tencon2016.org ############################################### Computational intelligence (CI) techniques encompass good-old-fashion AI (GOFAI), soft computing and deep learning techniques. The ebb and flow of these CI techniques closely tracks the technology cycles. CI techniques such as evolutionary techniques, swarm intelligence, artificial neural network (ANN) and fuzzy logic were mere research topics for decades before suitable computing hardware is available for their use in a broad spectrum of industrial and consumer applications. Recent computing hardware and sensor technologies have also fast-tracked the research and development of many emerging CI techniques. Held annually in IEEE Region 10 since 1980, TENCON has been an important multi-disciplinary platform of IEEE Region 10 for sharing and discussing new and emerging ideas. The theme for TENCON 2016 is Future Technologies for Smart Nation. Therefore, this TENCON'16 Special Session on Computational Intelligence Techniques and Applications for Smart Nation invites all researchers to submit papers on their use of CI techniques for enabling Smart Nation. ##################Important Date################## - Open for Submission March 1st, 2016 - Submission Deadline May, 30th, 2016 - Notice of Acceptance August 1st, 2016 - Final Manuscript Submission September 10th, 2016 ################################################## ##################Topics and Areas of Interest################## This special session solicits papers addressing original works in topics and areas of interest including, but are not limited to: - Fundamental CI Methodologies o Deep learning techniques o Reinforcement learning techniques o Supervised learning techniques o Unsupervised learning techniques o Evolutionary computing techniques o Artificial Neural Networks o Swarm Intelligence o Graphical Models o Bayesian Statistics - CI in Real-World Applications o Time Series Prediction o Sensor Networks o Recommender Systems o Robotic Systems o Intelligent Transportation System o Big Data for Smart Nation o Pattern Recognition o Computer Vision and Image Understanding o Intelligent Control Systems ################################################################ ############Paper Submission and Publication############ - The best papers will be selected from the contributed papers for awards. - The presented papers will be submitted to IEEE Xplore which is indexed by major databases. - Full papers can have up to four pages in double-column IEEE Conference format. - At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. - Any enquiry on the submission of papers can be made to Teck-Hou Teng at thteng(a)smu.edu.sg ######################################################## ##################Organizing Committee################## - Teck-Hou Teng, Singapore Management University - Justin Dauwels, Nanyang Technological University - Erdal Kayacan, Nanyang Technological University ########################################################

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Call for Papers: 8th International Conference on Brain Inspired Cognitive Systems (BICS 2016), Beijing, 28-30 Nov 2016: http://bii.ia.ac.cn/bics-2016/index.html
by Dr Amir Hussain 15 May '16

15 May '16

CALL FOR PAPERS (Deadline: 10 June 2016) and SPECIAL SESSION/WORKSHOP PROPOSALS (Deadline June 1, 2016): (with apologies for any cross postings - please forward to any interested colleagues, thank you) The 8th International Conference on Brain-Inspired Cognitive Systems (BICS 2016), is being organized by the Chinese Academy of Sciences (Research Centre for Brain-Inspired Intelligence, Institute of Automation) in Beijing, November 28-30, 2016 - in partnership with the University of Stirling (Scotland, UK), and with technical co-sponsorship of the IEEE Computational Intelligence Society: http://bii.ia.ac.cn/bics-2016/index.html BICS 2016 is being held in Beijing, China, as a sequel of BICS 2004 - 2015. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2015 in Hefei, Anhui, China. BICS 2016 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art in brain-inspired cognitive systems research and applications in diverse fields. It will bring together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions/workshops focusing on popular and timely topics. All accepted BICS 2016 papers will be published in conference proceedings of the Springer LNAI Book series. Selected papers will be published in a special issue of the leading (ISI SCI indexed) Cognitive Computation Journal (published by Springer Nature: http://Springer.com/12559 - first five year ISI impact factor: 1.73) BICS'2016 TOPICS OF INTEREST: These include, but are not limited to the following: 1. Biologically Inspired Systems (BICS-BIS) - Brain inspired systems - Brain inspired vision - Brain inspired audition and sound processing - Brain inspired other sensory modalities - Brain inspired motion processing - Brain inspired robotics - Brain inspired adaptive and control systems - Brain inspired evolutionary systems - Brain inspired oscillatory systems - Brain inspired signal processing - Brain inspired learning - Neuromorphic systems 2. Cognitive Neuroscience (BICS-CNS) - Cognitive neuroscience - Cognitive neuroscience of vision - Cognitive neuroscience of non-vision sensory modalities - Cognitive neuroscience of volition - Systems neuroscience - Attentional mechanisms - Affective systems - Language - Cortical models - Sub-cortical models - Cerebellar models - Neural correlates 3. Models of Consciousness (BICS-MoC) - World awareness - Self-awareness - Global workspace theory - Imagination - Qualia models - Virtual machine approaches - Formal models fo consciousness - Control theoretical models - Developmental/Infant models - Will and volition - Emotion and affect - Philosophical implications - Neurophysiological grounding - Enactive approaches - Heterophenomenology - Analyitic/Synthetic phenomenology 4. Neural Computation (BICS-NC) - Neuro-computational systems - Hybrid neural systems - Neural learning - Neural control systems - Neural signal processing - Architectures of neural computation - Neural devices - Neural perception and pattern classifiers - Neuro-fuzzy systems - Evolutionary neural networks - Biological neural network models - Applications - Others BICS 2016 SPECIAL SESSIONS AND WORKSHOPS: CALL FOR PROPOSALS To enhance the technical program and open the door to more specific cutting-edge topics and areas related to Brain-inspired Cognitive Systems, BICS 2016 welcomes proposals for timely Special Sessions and Workshops (which will be included in the Conference programme, in addition to regular sessions). Special sessions/workshops can cover subjects or cross-subjects belonging to any relevant BICS topic(s) of interest, or novel topic(s) related to BICS topics of interest. Papers submitted for special sessions and workshops will be peer-reviewed with the same criteria as for regular sessions. All proposals for BICS2016 Special Sessions and Workshops should contain the following information: -Title of the special session or workshop -Names, affiliations, email addresses and short bios of proposers -Description of the proposed session or workshop (including aims and scope) -List of 6-10 potential contributors Researchers interested in organizing Special Sessions/Workshops are invited to submit a formal proposal, which will be evaluated based on the timeliness of the topic, its uniqueness, and qualifications of the proposers. A tentative accept/reject decision on the proposal will be sent to proposers within one week after its receipt by the BICS 2016 Special Sessions and Workshops Chair. Accepted Special Sessions/Workshops will be listed on the website. Formal proposals (including any queries) should be submitted to the BICS 2016 Special Sessions & Workshops Chair: Dr. Jingpeng Li ( jli(a)cs.stir.ac.uk ). Special Sessions/Workshops proposals deadline: 1 June 2016 PAPER SUBMISSION: Papers should be limited to 8-10 pages in Springer LNCS format. Details can be found in http://bii.ia.ac.cn/bics-2016/submission.htm To submit, please login at https://easychair.org/conferences/?conf=bics2016 IMPORTANT DATES: Paper submission deadline: June 10, 2016 Acceptance notification: August 10, 2016 Camera-ready papers due: September 10, 2016 Conference dates: November 28-30, 2016 Special Session/Workshop proposals deadline: June 1 , 2016 (acceptance notification: 8 June 2016) BICS 2016 ORGANIZING COMMITTEE: General Chairs: Cheng-Lin Liu (Institute of Automation, Chinese Academy of Sciences, China) Amir Hussain (University of Stirling, Scotland, UK) Program Chairs: Bin Luo (Anhui University, China) Kay Chen Tan (National University of Singapore, Singapore) Publicity Chairs: Cesare Alippi (Politecnico di Milano, Italy) Haibo He (University of Rhode Island, USA) Hussein Abbass (University of New South Wales - Canberra - Australia) Erik Cambria (NTU, Singapore) Local Organization Chair: Yi Zeng (Institute of Automation, Chinese Academy of Sciences, China) Publication Chair: Zhaoxiang Zhang (Institute of Automation, Chinese Academy of Sciences, China) Special Sessions and Workshops Chair: Jingpeng Li (University of Stirling, Scotland, UK) Secretariat: bics2016(a)ia.ac.cn We looking forward to seeing you at BICS'2016! -- The University achieved an overall 5 stars in the QS World University Rankings 2015 The University of Stirling is a charity registered in Scotland, number SC 011159.

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Reminder: Summer School "Advanced Scientific Programming in Python" in Reading, UK, September 5--11, 2016
by Jakob Jordan 13 May '16

13 May '16

Reminder: Deadline for application is 23:59 UTC, May 15, 2016. Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, and the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 15, 2016. Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Travel grants may be available. Date & Location =============== September 5—11, 2016. Reading, UK Program ======= - Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization - Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code - Scientific Tools for Python • Advanced NumPy - Advanced Python • Decorators • Context managers • Generators - The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data - Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of PyTables, Spain • Pietro Berkes, Enthought Inc., Cambridge, UK • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, VA, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Tiziano Zito, freelance consultant, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany For the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading UK: • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc Position in Computational Neuroscience, Max Planck Institute, Leipzig, Germany
by Katharina von Kriegstein 13 May '16

13 May '16

Applications are welcomed for a postdoctoral research position at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS) in Leipzig, Germany in collaboration with the Technical University Dresden, Germany. The objective of the postdoctoral research project is to use computational modelling and neuroimaging to work towards a novel model for cortico-subcortical interactions for human communication signals. The project is funded by the ERC-consolidator grant SENSOCOM (http://cordis.europa.eu/project/rcn/199655_en.html) The position will be jointly supervised by Katharina von Kriegstein at the MPI-CBS and Stefan Kiebel at the TU Dresden. The MPI-CBS offers a unique research environment with a 7.0 T MRI scanner, several 3.0 T MRI scanners, a 306 channels MEG system, TMS/tDCS laboratories, several EEG suites, and eye-tracking labs. All facilities and data analyses are supported by experienced IT specialists and physicists. The TU Dresden is one out of eleven German Universities of Excellence. It houses a state-of-the art neuroimaging centre with a strong focus on computational modelling and access to the TU Dresden high-performance computing clusters. Besides an excellent infrastructure, both centres offer an international and friendly environment with researchers from diverse backgrounds. The position is ideal for candidates interested in research at the interface between computational modelling and experimental neuroimaging. The candidates must have a PhD (or equivalent) in computational neuroscience, experimental psychology, or a related field, and should be able to demonstrate a consistently outstanding academic record, including publications. The ideal candidate will have expertise in computational neuroscience, physics, mathematics, or similar with a strong interest in implementing computational models (e.g., Bayesian filtering, hierarchical dynamic models, predictive coding) and testing these with neuroimaging experiments. The starting date for the position is flexible. Initially for two years, the position offers the possibility of extension for up to four years. Salary depends on experience and is based on regulations of the Max Planck Society. To apply, please include all documents in one PDF-file in the following order: CV, contact information of two referees, a brief statement describing your personal qualifications and future research interests, copies of up to three of your publications. Applications with the subject heading "CM 16 PD" should be sent via email to: personal(a)cbs.mpg.de. Closing date for applications is the 12th June 2016. Informal enquiries regarding the post should be directed to: Prof. Dr. Katharina von Kriegstein (kriegstein(a)cbs.mpg.de) For more information about the groups see: Prof. Katharina von Kriegstein: http://www.cbs.mpg.de/independent-research-groups/human-communication Prof. Stefan Kiebel: https://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_n… A link to the position description is available here: http://www.cbs.mpg.de/454795/job_full_offer_10498685?c=7390 The MPI-CBS is an equal opportunities employer, committed to the advancement of individuals without regard to ethnicity, religion, gender, or disability. --- Katharina von Kriegstein Max Planck Research Group Leader Max Planck Institute for Human Cognitive and Brain Sciences Stephanstr. 1A, 04103 Leipzig, Germany Professor of Cognitive and Clinical Neuroscience Humboldt University of Berlin Rudower Chaussee 18, 12489 Berlin, Germany Phone +49 (0) 341-9940-2476 Fax +49 (0) 341-9940-2448 http://www.cbs.mpg.de/independent-research-groups/human-communication

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CFP ==> AIPR2016 [IEEE] - Poland - September
by Grace Allas 12 May '16

12 May '16

*** CALL FOR PAPERS *** All registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore The Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR2016) Lodz University of Technology, Lodz, Poland September 19-21, 2016 http://sdiwc.net/conferences/aipr2016/ IMPORTANT DATES Submission Deadline : Open from now until August 19, 2016 Notification of Acceptance : 4-7 weeks from the submission date Camera Ready Submission : Open from now until September 09, 2016 Registration Deadline : Open from now until September 09, 2016 --------------------------------------------------- RESEARCH TOPICS ARE NOT LIMITED TO: • Agent-based Systems • AI and Evolutionary Algorithms • Ant Colony Optimization • Approximate Reasoning • Artificial Immune Systems • Artificial Intelligence in Modeling and Simulation • Artificial Intelligence in Scheduling and Optimization • Artificial Life • Automated Problem Solving • Bioinformatics and Computational Biology • Biometric Authentication • Brain-machine Interfaces • Camera Networks and Vision • Case Studies • Cognitive Systems and Applications • Collective Intelligence • Computer Vision • Data Mining • Decision Support Systems • Differential Evolution • Distributed AI Systems and Architectures • Emerging Technologies • Evolutionary Data Mining • Evolutionary Design • Evolutionary Scheduling • Expert Systems • Fuzzy Computing with Words • Fuzzy Control and Intelligent Systems • Fuzzy Decision Making and Decision Support Systems • Fuzzy Logic and Fuzzy Set Theory • Fuzzy Optimization and design • Fuzzy Pattern Recognition • Fuzzy Systems for Robotics • Game Theory • Hardware Implementations • Heuristic Searching Methods • Integration of AI With Other Technologies • Intelligent Agents • Intelligent Data Mining and Farming • Intelligent Databases • Intelligent Information Systems • Intelligent Networks • Intelligent Tutoring Systems • Intelligent User Interface • Intelligent Web-based Business • Knowledge Engineering • Knowledge Networks and Management • Knowledge-based Recognition • Knowledge-intensive Problem Solving Techniques • Machine Learning • Modeling and Identification • Molecular and Quantum Computing • Motion and Tracking Algorithms and Orientation Estimation • Multi-agent Systems • Multimedia Systems and Applications • Natural Language Processing • Neural Network Theory, Architectures and Applications • Novel Noise Reduction Algorithms • Particle Swarm Optimization • Printing Technologies • Robotics and Related Fields • Rough Sets and Rough Data Analysis • Segmentation Techniques • Signal and Speech Processing • Social Impact of AI • Software Tools for AI • Speech Understanding • Structural and Syntactic Pattern Recognition • Supervised and Unsupervised Learning • Type-2 Fuzzy Logic • Various Applications • Watermarking Methods and Protection • Web Intelligence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All the registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Paper Submission: http://sdiwc.net/conferences/aipr2016/openconf/openconf.php Write us for more details: aipr16(a)diwc.net NOTE: Please see other co-conferences: - The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET2016) http://sdiwc.net/conferences/csceet2016/ - The International Conference Numerical Methods and Applied Mathematics (NMAM2016) http://sdiwc.net/conferences/nmam2016/ ---------------------------------------

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[UKCI 2016] Extended Call for Papers
by Teng Teck Hou 12 May '16

12 May '16

[Apologies for the 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 Britain’s premier tourist area – Lake District, and is home to theatres, museums, Ashton Memorial and Williamson park. #################### Important dates ##################### - Paper submission: May 15th, 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, UK - Xin Yao, School of Computer Science, University of Birmingham, UK - Stephen Fubrer, School of Computer Science, University of Manchester, UK ########################################################## #################### 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 - Prof. Ahmad Lotfi, Nottingham Trent University - Dr. Xiao Jun Zeng, Manchester University ########################################################## ############# Paper Submission and Publication ########### * Papers for UKCI 2016 should be submitted electronically through the Conference website at http://wp.lancs.ac.uk/ukci2016/call-for-papers/, 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 20th March 2016 ########################################################## #################### Co-Sponsors ######################### * Springer * Department of Engineering and the School of Computing and Communications, Lancaster University ##########################################################

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Workshop on EEG monitoring with dry electrodes at OHBM 2016
by Uwe Graichen 11 May '16

11 May '16

Dear colleagues, it is my pleasure to announce the workshop "EEG monitoring with dry electrodes: the achievements of the ANDREA European project and future perspective", which will be a satellite meeting of the OHBM 2016 and will take place at Palexpo in Geneva on June 25, 2016. This workshop, promoted by the partners of the ANDREA project (www.andreaproject.eu ), is meant to inform and educate everyone who may be interested in EEG monitoring using dry electrodes, from novices to experts. We will discuss novel multi-channel EEG caps with dry electrodes. The partners of the ANDREA project and external experts will present the most recent advancements in sensors, caps and electronics, as well as data processing and artifact reduction algorithms. The detailed program is attached. Registration to the workshop is required but is free of charge. Further details can be found at the page http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3688. Spread the news among your colleagues and collaborators, as we hope to meet all of you in Geneva! Best regards, Silvia Comani, PhD Associate Professor of Applied Physics Director, BIND - Behavioral Imaging and Neural Dynamics Center Coordinator - EU Project ANDREA (www.andreaproject.eu) Dept. of Neuroscience, Imaging and Clinical Sciences University "G. d'Annunzio" of Chieti-Pescara Chieti Via dei Vestini, 33 66013 Chieti - Italy comani(a)unich.it http://www.bindcenter.eu phone: +39 0871 3556925 fax: +39 0871 3556930

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Postdoc and PhD positions. In vivo electrophysiology, optogenetic and motor learning. Marseille
by david robbe 10 May '16

10 May '16

A postdoctoral and a PhD positions funded by a Consolidator Grant from the European Research Council (ERC) are available in the group of David Robbe at the Institut de Neurobiologie de la Mediterrannée (INMED) in Marseille, France. The Robbe Lab studies the neuronal bases of motor learning and motor control with a focus on the role of cortico-striatal system and the specific contribution(s) of selective striatal cell types. We perform electrophysiological recordings of spiking activity (using silicon probes, tetrode arrays and optrodes) and neuronal perturbation (lesions, inactivations, optogenetic stimulation) on rodents (mice or rats) engaged in original motor tasks. The tasks design allows high-throughput training of animals, manipulations of task constraints to understand the psychophysical determinants of performance and closed-loop optogenetic perturbation of neuronal activity. The positions suit candidates highly motivated to perform large-scale electrophysiological and optrodes recordings in behaving rodents (mice or rats). The successful candidates should be genuinely interested in understanding animal behavior, hardworking and capable to learn to perform delicate surgical procedures. A previous experience in either in vivo electrophysiology, optogenetic or data analysis (using Python or Matlab) is expected. Applicants with quantitative (physics, maths) or engineering backgrounds willing to acquire experimental skills are encouraged to apply. For the postdoc position, the salary is initially granted for the first 2 years, and may be extended according to progress and available funding. The PhD position is funded for 3 years. INMED is composed of several internationally renowned groups working on the development, function and pathology of neuronal circuits. The scientific excellence of INMED and its outstanding location at the entrance of the National Park des Calanques provide a rich and stimulating working/living environment. Applications (CV, a short statement of research interests and experience (max. one page), at least 2 reference letters) should be sent to david.robbe(a)inserm.fr. Application will be considered until the positions are filled. The positions are available immediately and expected to start at the latest in fall 2016. Selected candidates will be invited for an interview at the INMED (travel expenses covered). Relevant publication: Rueda-Orozco, PE and Robbe D (2015) The striatum multiplexes contextual and kinematic information to constrain motor habits execution. Nat Neurosci. 18:453-60. Additional information on the research performed in the Robbe lab: http://www.inmed.fr/en/en-avenir-dynamiques-neuronales-et-fonctions-des-gan… -- David Robbe, PhD Neuronal dynamics and functions of the basal ganglia Institut de Neurobiologie de la MEDiterrannee (INMED) INSERM-UMR901 163, avenue de Luminy. BP13 13273 Marseille Cedex 9 France http://www.inmed.fr/avenir-dynamiques-neuronales-et-fonctions-des-ganglions… Tel: +33 4 91 82 81 99 Fax: +33 4 91 82 81 05 "The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge", Stephen Hawking

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Applicant Call for Goettingen's Advanced Computational Neuroscience Summer School
by Agostina Palmigiano 10 May '16

10 May '16

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Applications are invited for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 06th - 16th, 2016 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced mathematical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day theoretical blocks + 4 evening lectures in charge of the following researchers: * Vijay Balasubramanian <http://www.sas.upenn.edu/%7Evbalasub/public-html/Home.html>, University of Pennsylvania, Philadelphia, Germany * Jason Kerr <http://www.caesar.de/bbo.html>, Center of Advanced European Studies and Research, Bonn, Germany * Gilles Laurent <http://brain.mpg.de/research/laurent-department.html>, MPI for Brain research, Frankfurt, Germany * Tobias Moser <http://www.innerearlab.uni-goettingen.de/>, University Medical Center, Göttingen Germany * Erwin Neher <http://www.nobelprize.org/nobel_prizes/medicine/laureates/1991/neher-bio.ht…>, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany * Magnus Richardson <https://www2.warwick.ac.uk/fac/sci/systemsbiology/staff/richardson/>, University of Warwick, Conventry, England * Wolf Singer <http://www.esi-frankfurt.de/research/singer-lab/>, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany * Misha Tsodyks <http://www.weizmann.ac.il/neurobiology/labs/tsodyks/>, Weizmann Institute of Science, Rehovot, Israel The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 euros. Course language is English. Housing is provided by the school. Travel grants can be provided upon request. Only 15 participants will accepted. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *June 15, 2016*. Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Manuel Schottdorf, Jens Wilting Best wishes and looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

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CIBB 2016 - Second Call for Papers
by Andrea Bracciali 09 May '16

09 May '16

[apologies for multiple posting] ============================================================== SECOND CALL FOR PAPERS CIBB 2016 13th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics University of Stirling, Stirling, Scotland UK September 1-3 2016 http://www.cs.stir.ac.uk/events/cibb2016/ cibb2016(a)gmail.com ============================================================== In evidence (please see below and the web for details): - the very interesting list of INVITED SPEAKERS is growing ! - five new SPECIAL SESSIONS are running ! - EXTENDED DEADLINES for paper submission Please, connect to the conference via @CIBB2016 on twitter Keynote Speakers (to be completed) Prof. Mark Beaumont School of Biological Sciences, Bristol University Evolutionary Biology Prof. Natalio Krasnogor School of Computing Science, Newcastle University Computing Science and Synthetic Biology Prof. Bud Mishra Courant Institute of Mathematical Sciences and NYU School of Medicine, New York University NYU, and Mt Sinai School of Medicine Computer Science, Cell Biology and Genetics Dr. Guido Sanguinetti School of Informatics, University of Edinburgh System design of stochastic models SPECIAL SESSIONS Engineering Bio-interfaces and Rudimentary Cells as a way to develop Synthetic Biology Contacts: Maria Raposo, mfr(a)fct.unl.pt Biocuration and integration of biomedical databases Contacts: Riccardo Rizzo, ricrizzo(a)pa.icar.cnr.it Modelling and simulation methods for Systems Biology and Systems Medicine Contacts: Paolo Cazzaniga, paolo.cazzaniga(a)unibg.it High-Performance Computing and Deep learning methods for Genomic Data Analysis Contacts: : Fabio Tordini, tordini(a)di.unito.it Statistical inference in mechanistic models of biological system Contacts: Dirk Husmeier, Dirk.Husmeier(a)glasgow.ac.uk Scope The main goal of this 13th edition of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2016 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: · Next generation sequencing bioalgorithms · Multi-omics data analysis · High dimensional statistical analysis of omics data · Algorithms for alternative splicing analysis · Algorithms for molecular evolution and phylogenetic analysis · Methods for the visualization of high dimensional complex omic data · Software tools for bioinformatics · Methods for comparative genomics · Methods for functional classification of genes · Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data · Health-Informatics and Medical Informatics. · Methods for the integration of clinical and genetic data · Heterogeneous data integration and data fusion for diagnostics · Algorithms for pharmacogenomics · Biomedical text mining and imaging · Methods for diagnosis and prognosis within personalized medicine · Statistical methods for the analysis of clinical data · Prediction of secondary and tertiary protein structures · Mass spectrometry data analysis in proteomics · Algorithms for molecular evolution and phylogenetic analysis · Bio-molecular databases and data mining · Mathematical modeling and automated reasoning on biological and synthetic systems · Computational simulation of biological systems · Methods and advances in systems biology · Spatio-temporal analysis of synthetic and biological systems · Network systems biology · Models for cell populations and tissues · Methods for the engineering of synthetic components · Modelling and engineering of interacting synthetic and biological systems · Software tools for bioinformatics, biostatistics, systems and synthetic biology Publication Accepted papers will be presented at the conference (at least one author is expected to register), and will be published on proceedings for conference distribution. Extended and revised versions of the papers presented at CIBB 2016 will be invited for a post-conference monograph. This is traditionally published in the Springer series of Lecture Notes in Bioinformatics (LNBI), (arrangements undergoing). Continuing the tradition of CIBB, we are planning to publish best papers in one (or more, as appropriate) special issue of an international scientific journal (such as BMC Bioinformatics, in the latest editions). Paper Submission Papers must be prepared following the guidelines illustrated on the CIBB web site and should be long between 4 and 6 pages. Papers should be submitted in PDF format on the Easy Chair conference system (link available on the web site). Important Dates Paper submission deadline: 29th May 2016 Notification of acceptance: 22nd June 2016 Final paper due: 8th July 2016 Conference: 1st -3rd September 2016 General Chairs Andrea Bracciali, University of Stirling, UK David Gilbert, Brunel University London, UK Gilbert MacKenzie, UL, ENSAI and Keele, UK

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3-year sensory-motor learning research fellow position at University of Birmingham
by Joseph Galea (School of Psychology) 09 May '16

09 May '16

Dear all, Applications are invited for a 3-year postdoctoral position with Dr. Joe Galea (http://josephgalea.weebly.com) at University of Birmingham, UK (www.birmingham.ac.uk/schools/psychology/index.aspx<http://www.birmingham.ac.uk/schools/psychology/index.aspx>). The successful candidate will work on an ERC starting grant which will build upon recent work from the lab that has shown reward and punishment-based feedback to have dissociable effects on motor learning. Using a combination of behavioural analysis, genetics, pharmacology and modelling techniques this project will provide the first in-depth behavioural and neural account of the role of motivation (reward/punishment) in motor learning. For 1st of October 2016, I am looking to appoint a highly motivated candidate for a postdoctoral position. This role is aimed at developing a set of motor learning based tasks (model-based/ reinforcement/ use-dependent) that will be used to examine motivation in a range of motor learning settings. The postholder will be responsible for the programming of these tasks, testing them in a large set of healthy volunteers (who we will also collect genetic data from) and for the analysis of the behavioural data (kinematic/computational models). The successful candidate will have a PhD in Psychology, Physiology, Neuroscience, Engineering, Physics or Maths and have extensive experience with programming and running motor control/learning studies. Ideally they will be familiar with the KINARM end-point robot (B.KIN technologies) and/or be an expert with Simulink/Matlab (graphical-based programming). An ability to analyse behavioural data with matlab and perform computational analysis would be ideal. Finally they should have evidence of good academic writing and presentation skills through conference presentations and a strong (recent) publication record. Detailed information can be found here: http://www.jobs.ac.uk/job/ANP415/research-fellow/ Informal enquiries should be directed to: Dr. Joseph Galea (j.galea(a)bham.ac.uk) Closing date: 3/June/2016 Best regards, Joseph Galea Senior Birmingham Fellow ERC Starting Grant Holder School of Psychology University of Birmingham, UK.

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First CfP SAN2016
by Manousos Klados 08 May '16

08 May '16

Dear colleagues, please, accept our advanced apologies for any multiple cross-postings... The Society of Applied Neuroscience (SAN, http://www.applied-neuroscience.org/) in cooperation with the Medical School of the Aristotle University of Thessaloniki and the Department of Neurology of the Max Planck Institute for Human Cognitive and Brain Sciences, have the great pleasure to invite you to the biennial meeting of the Society, SAN2016 (http://applied-neuroscience.org/san2016/) which will be held in Corfu Island, Greece between 6-9 of October, 2016. We cordially invite everyone engaged in studies of Neuroscience, to participate in the SAN2016 meeting. Apart from the highly promising scientific program, blended with numerous workshops and special sessions, there will also be a lively social program which will give our guests the opportunity to enjoy Greece and Corfu.We feel confident than you will enjoy SAN2016 both scientifically and socially as one of our main purposes is to give the chance to all colleagues to establish new fruitful international collaborations in areas of mutual academic and clinical interests. SAN2016 will bring together scientists and practitioners from a wide range of specialist fields. These include, but are not limited to: EEG/ MEG/ fMRI/ fNIRS Neurofeedback fMRI-NFB studies Brain Computer Interfaces Trans Cranial Magnetic Stimulation Peripheral Biofeedback Direct Current Stimulation Event-Related Potentials Brain Connectivity Neuronal Reorganization EEG and Cognition QEEG Diagnosis Emerging combined EEG and Virtual/augmented reality technology Instrumentation Audio-Visual Stimulation LORETA & Methodology Clinical, educational, sport and optimal performance applications Rehabilitation Integrative Therapy Complimentary evidence-based applications ...and all fields of applied neuroscience. All the above blended by an attractive selection of keynote and invited speeches, as well as, hands-on pre-conference workshops. There will be a practitioner track focusing on topical issues. The conference committee receives more proposals than space available. Careful attention to Quality of work, clarity and completeness of the submitted materials is likely to increase the chance for acceptance. All the accepted abstracts will be published in the Frontiers in Human Neuroscience. SAN2016 abstract submission is supported by a Frontiers event and are directly submitted through the following link until the 20th of June, 2016: http://www.frontiersin.org/events/SAN2016_Meeting/3717 Numerous special issues and research topics are also planned by Society members as per tradition. We believe that SAN2016 will be a wonderful chance for you, to meet old friends and make new ones. We look forward to seeing you in Corfu, Greece! Panos Bamidis John Gruzelier Manousos Klados SAN2016 Conference Chairs Manousos Klados, PhD Max Planck Institute for Human Cognitive & Brain Sciences Research Group of Neuroanatomy and Connectivity Phone: +49(0)-341-9940-2507 <+49(0)-341-9940-2507> Mobile: +49(0)-176-6988-1781 Email: klados(a)cbs.mpg.de <klados(a)cbs.mpg.de> Website: http://www.mklados.com Skype: mklados | Twitter: @mklados Address: Stephanstraße 1a PC D-04103 Leipzig Germany Join us at our next event:SAN 2016 Conferece <http://applied-neuroscience.org/san2016/index.php>

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Research Position: Brain Prosthesis Algorithms
by Randal Koene 06 May '16

06 May '16

Brain Prosthesis Algorithms Brain science is the new rocket science. We’re building algorithms and software to correct deficits and enhance cognitive brain function using electrophysiology. We’re not making drugs or creating a brain training game, we’re using a data driven method to create neural prostheses to restore and enhance human cognitive performance. Join us in this delicious engineering opportunity in developing probabilistic kernel models of the hippocampus for a first application in memory. What we’re looking for: a data & algorithms or machine learning specialist with an exceptional aptitude for regularization and matrix algebra. Potential projects include building classification and regression models for neural spiking data, decoding of the spatio-temporal patterns of spikes with respect to behavior, analyzing large-scale complex neural data, building mixed model of point-process signals, and other data-driven modeling projects. Working with the cross-disciplinary members of our team which includes Professors at the University of Southern California (USC), you would be driving a neural system identification modeling platform that is pushing the state-of-the-art in neurocognitive therapeutics. Self-taught or via formal education, we expect not only that you meet our prerequisites on skills and mission alignment, but that you thrive in a meritocracy of mutual peer review within a first-class team. We expect that you take responsibility for your projects, demonstrate excellence, vision, and diligent but creative invention. You are the right person for this job if you are: - Strong in linear algebra/matrices, basis transformations, model order / dimension reduction, numerical methods - Strong in regression analysis, data analysis, nonlinear mathematical modeling - Results oriented, driven, flexible, adaptable, and have the courage to take on an ambitious project, because what matters most is to build a flourishing future We’d also love it if you have skills and experience in: - Either electrical engineering, biomedical engineering, statistics, computer science, computational neuroscience, or related fields - Machine learning (e.g. Bayesian, deep learning), time series analysis, pattern recognition, and point-process signal processing is highly preferred - Neural circuit modeling / exploration (e.g. discovering functional connectivity), control theory, system identification, compartmental neural modeling (e.g. NEURON) - Python, Matlab, C/C++/C#, R, Linux/Unix Exceptional team. Full-time. Benefits. Competitive compensation. Ground breaking work. To apply, please send an email with 1) CV (and list of publications) and 2) contact information for 2-3 professional references to: Dr. Randal A. Koene at brainprosthesis(a)gmail.com with a subject line “Brain Prosthesis Algorithms application”.

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Postdoctoral Research Assistant in functional optical neuroimaging (fNIRS) interpretation
by f.orihuela-espina＠ccc.inaoep.mx 06 May '16

06 May '16

Please disseminate as appropriate and apologies for duplicates *Postdoctoral Research Assistant in functional optical neuroimaging (fNIRS) interpretation* Publication date: 30-Dec-2015; Revised: 1-May-2016 *About the Position*: The Department of Computer Science at Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) in Puebla, Mexico, invites applications for a 1.5 years full-time postdoctoral research assistant position in the field of functional optical neuroimaging (fNIRS) interpretation. The position will suit candidates with strong background in Knowledge Representation, Statistics and Experimental Design, Medical Physics and/or Neurosciences. Candidates must hold a Ph.D. in a relevant discipline (e.g. computer science, mathematics, statistics, physics, engineering, neurosciences). The position is invited as from the 1st of September 2016 but earlier or later incorporations might be considered. *About the project*: Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging modality available for understanding brain behaviour for which current analysis and interpretation methods were often inherited and adapted from other neuroimaging modalities such as functional magnetic resonance imaging (fMRI). This migration of methods is never trivial or without compromises. This 3 years $2M MXN project explores alternative analysis and interpretation algorithms and techniques specifically developed for fNIRS which can answer complex questions about cognitive activity while considering and exploiting fNIRS specific particularities. For further details about the project and how to apply, please visit: http://ccc.inaoep.mx/~f.orihuela-espina/Src/Jobs.php *Contact*: Dr. Felipe Orihuela-Espina. e-mail: f.orihuela-espina(a)ccc.inaoep.mx

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INCF short course in neuroinformatics, Aug 31 - Sep 1 in Reading, UK
by Malin Sandström 06 May '16

06 May '16

Dear all, (apologies for cross-posting) This year, the two-day INCF short course in neuroinformatics will be held in Reading, UK on August 31 - September 1, just before INCF's Neuroinformatics 2016 <http://neuroinformatics2016.org/>. The course is intended for neuroscience researchers wishing to develop their interests in neuroinformatics as well as informatics researchers with a strong interest in neuroscience. The course is open to advanced students, postdoctoral researchers, and faculty members. Basic knowledge of neuroscience is a prerequisite. Apply latest May 31! https://www.incf.org/resources/training/incf-short-course-2016 *Topics covered* data analysis and neuronal coding databases and ontologies multiscale modeling neuroengineering simulation/computation/workflows visualization dynamic field theory *Speakers* David Willshaw (Edinburgh, UK) GIacomo Indiveri (Zürich, Switzerland) Hayriye Cagnan (Oxford, UK) Yulia Sandamirskaya (Zürich, Switzerland) Roberto Toro (Paris, France) Gaute Einevoll (Ås, Norway) Marja-Leena Linne (Tampere, Finland) Please help spread the word to prospective students! Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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4-year Ph.D. Position in Neuroscience at the Donders Institute
by Bernhard Englitz 05 May '16

05 May '16

Dear List, we are pleased to announce a 4-year Ph.D. position in the field of neuroscience, with a focus on acquisition and computational analysis of multilevel neural data. The position will be jointly supervised by Dr. Englitz and Dr. Cohen. Please find the details of the call below. Best wishes, Bernhard & Mike Bernhard Englitz, Ph.D. Assistant Professor Department of Neurophysiology Donders Centre for Neuroscience Faculty of Science, Radboud Universiteit Heyendaalseweg 135, 6525 AJ Nijmegen ------------------------------------------------------------------------------------------------------------------------------------ Project: This project will involve a combination of EEG and lowlevel neural recordings from multiple areas of the brain in rodents. Our focus will be on the rapid patterns of electrical activity that are observed during rest, sleep, and cognition. We will compare neural activity in multiple brain regions to simultaneously recorded EEG activity, in order to determine how these multiscale microstates are related to sensory processing. Results from this project will help us understand how the EEG signal is related to the complex spatiotemporal dynamics of the brain, its neural computations, and their relation to sensory perception. In turn, these findings will help lay groundwork for individualized diagnosis of brain dysfunctions. Scientific Environment: The Donders Institute for Brain, Cognition and Behaviour consists of three research centres, the Centre for Cognition, the Centre for Cognitive Neuroimaging and the Centre for Neuroscience. The Donders Institute focuses on state-of-the-art cognitive neuroscience, in a multidisciplinary approach, and offers excellent lab and neuroimaging facilities. The position will be jointly hosted at the Neuroinformatics and the Neurophysiology departments, which together provide a high quality neuroscience environment with facilities for chronic and non-chronic many-channel recordings, imaging and computational modeling. The research questions of the departments range from fundamental to applied, and enable the interaction of theory and experimental work in a single location. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University offers a parental leave scheme and day care on campus. Qualifications: - MSc degree in computational neuroscience, mathematics, physics, engineering or a related area. - Experience with programming and data analysis in Matlab/Python. - Experience with quantitative analysis (e.g. linear algebra, time-frequency analysis) - Experience with electrophysiology is considered a plus. - The applicant should have a pro-active attitude, good communication skills, and be able to effectively work in a multi-disciplinary team. Application Link: http://www.ru.nl/werken/details/details_vacature_0/?recid=579059 <http://www.ru.nl/werken/details/details_vacature_0/?recid=579059> Closing Date of Call : 30.5.2016 Planned Starting Date : 1.9.2016

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Ph.D. and Master positions in theoretical neuroscience at the MPI for Brain Research
by Tatjana Tchumatchenko 04 May '16

04 May '16

Ph.D. and Master positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are seeking undergraduate students interested in writing a Master thesis and also have open positions for Ph.D. Students to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko -- Dr. Tatjana Tchumatchenko Research group leader Theory of Neural Dynamics Max Planck Institute for Brain Research Max-von-Laue-Str 4 60438 Frankfurt am Main, Germany www.tchumatchenko.de

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Collaborative Development of Data-Driven Models of Neural Systems: Janelia Farm Sept 18-12
by Padraig Gleeson 04 May '16

04 May '16

[Apology for cross-postings] Dear colleagues, We are pleased to announce a conference on: Collaborative Development of Data-Driven Models of Neural Systems September 18-21, 2016 Janelia Farm Research Campus, Virginia, USA Deadline for registration: 18th May Detailed computational models are critical for elucidating neuronal and network function. They enable different levels of description to be linked, a wide range of neurophysiological experiments to be interpreted and quantitative predictions to be made. These factors are important for understanding large-scale complex systems, like neural circuits; however, more extensive use and scaling up of these data driven models pose challenges in ensuring that models are scientifically rigorous, as well as accessible and usable by both theoretical and experimental researchers alike. This conference will bring together a range of experimentalists, theoreticians and neuroinformatics developers with the aim of facilitating a global, open infrastructure for collaborative model development in neuroscience. *Organizers* Padraig Gleeson, University College London Angus Silver, University College London *Invited Participants* Anton Arkipov, Allen Institute for Brain Science Giorgio Ascoli, George Mason University Upinder Bhalla, National Centre for Biological Sciences Avrama Blackwell, George Mason University Kevin Briggman, National Institute of Neurological Disorders and Stroke/NIH Dean Buonomano, University of California, Los Angeles Nicholas Cain, Allen Institute for Brain Science Claudia Clopath, Imperial College London Rosa Cossart, Institut de Neurobiologie de la Méditerranée Sharon Crook, Arizona State University Andrew Davison, Centre National de la Recherche Scientifique Erik De Schutter, Okinawa Institute of Science and Technology Shaul Druckmann, Janelia Research Campus/HHMI Chris Eliasmith, University of Waterloo Jeremy Freeman, Janelia Research Campus/HHMI Michael Hausser, University College London Jeanette Hellgren Kotaleski, Karolinska Institutet Fritjof Helmchen, University of Zurich David Kleinfeld, University of California, San Diego Jeff Magee, Janelia Research Campus/HHMI Robert McDougal, Yale School of Medicine Eilif Muller, École Polytechnique Fédérale de Lausanne Hanchuan Peng, Allen Institute for Brain Science Ruben Portugues, Max Planck Institute of Neurobiology Mark Schnitzer, HHMI/Stanford University Ivan Soltesz, Stanford School of Medicine Nelson Spruston, Janelia Research Campus/HHMI Misha Tsodyks, Weizmann Institute of Science Registration is free, but places are limited.*Registration closes 18th May 2016*. For more details and to apply for participation go to https://www.janelia.org/you-janelia/conferences/collaborative-development-d…. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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MICCAI Challenge on Neural Circuit Reconstruction
by Jan Funke 03 May '16

03 May '16

Dear colleagues, We would like to draw your attention to the MICCAI challenge "CREMI: Circuit Reconstruction from Electron Microscopy Images" (http://cremi.org/) As of May 1st, the training phase of the challenge has opened. We provide three volumes with dense neuron and synapse segmentation, along with annotations for pre- and post-synaptic partners (http://cremi.org/data.html) The goal of this challenge is to evaluate algorithms for automatic reconstruction of neurons and neuronal connectivity from serial section electron microscopy data. The comparison is performed not only by evaluating the quality of neuron segmentations, but also by assessing the accuracy of detecting synapses and identifying synaptic partners. The challenge is carried out on three large and diverse datasets from adult Drosophila melanogaster brain tissue, comprising neuron segmentation ground truth and annotations for synaptic connections. A successful solution would demonstrate its efficiency and generalizability, and carry great potential to reduce the time spent on manual reconstruction of neural circuits in electron microscopy volumes. Follow us on Twitter for updates (https://twitter.com/cremi_challenge) and feel free to contact us at challenge(a)cremi.org. Regards, The CREMI organizers (Jan Funke, Stephan Saalfeld, Davi Bock, Srini Turaga, and Eric Perlman)

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BMVA Workshop on "Vision for interaction: From humans to robots"
by Alessandra Sciutti 03 May '16

03 May '16

=============================================== VISION FOR INTERACTION: From humans to robots One Day BMVA symposium - London, UK on October 19, 2016 Website: www.bmva.org/meetings ================================================ **************** Keynote Speakers: **************** + Prof. Antonia Hamilton (UCL) and + Prof. Yiannis Aloimonos (Univ. of Maryland). **************** Abstract: **************** Since early infancy, the ability of humans at interacting with each other is substantially strengthened by vision, with several visual processes tuned to support prosocial behaviour. For instance, a natural predisposition to look at human faces or to detect biological motion is present at birth. More refined abilities as the understanding and anticipation of others' actions progressively develop with age, leading, in a few years, to a full capability of interaction based on mutual understanding, joint coordination and collaboration. A key challenge of robotics research nowadays is to provide artificial agents with similar advanced visual perception skills, with the ultimate goal of designing humanoid robots able to recognize and interpret both explicit and implicit communication cues embedded in human movements. These achievements pave the way for the large-scale use of Human-Robot Interaction based applications on a variety of contexts, ranging from the design of personal robots, to physical, social and cognitive rehabilitation. ******************* Call for contributions: ******************* In this highly interdisciplinary one-day workshop we aim at bringing together contributions from the fields of cognitive science, robotics, machine vision and artificial intelligence, to corroborate the discussion on the potential guidelines to design and develop biologically-inspired computational vision models that may favour a natural interaction between artificial systems and humans. Please submit a short abstract summarizing your contribution, you may include links or pointers to web-based illustrations, demonstration material or papers giving more details. The work can be in progress or recently published, in addition to novel research. If you would like to give a talk, please contact Noceti (nicoletta.noceti(a)unige.it ) and Sciutti (alessandra.sciutti(a)iit.it ) by email by July 6, 2016. Areas of interest include but are not limited to: Vision neuroscience for interaction Computational vision models Vision for Robotics and Artificial intelligence Human robot interaction Vision in Social sciences This workshop is supported by the European Project CODEFROR (FP7-PIRSES-2013-612555) ************** Important dates: ************** + July 6, 2016 Deadline for abstract submission October 19, 2016 + BMVA symposium at BCS (British Computer Society) in London, UK. *********** Chairs: *********** + Nicoletta Noceti (Università degli Studi di Genova) - + nicoletta.noceti(a)unige.it Alessandra Sciutti (Istituto Italiano di + Tecnologia) - alessandra.sciutti(a)iit.it

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Postdoc position: Neural engineering and BMI in NYU
by Chen, Zhe 02 May '16

02 May '16

Dear colleagues Applications are now being accepted for a postdoctoral fellow position to combine experimental, computational and engineering techniques to study neural mechanisms of central pain circuits using rodent models. The applicant will work closely with Dr. Zhe (Sage) Chen and Dr. Jing Wang at the New York University School of Medicine, with cross-disciplinary training in computational neuroscience, rodent behavior and electrophysiology, optogenetics, and neural engineering (brain-machine interface). The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute (http://neuroscience.med.nyu.edu) Center for Neural Science (http://www.cns.nyu.edu) Department of Neuroscience & Physiology (http://neuro-physio.med.nyu.edu) Department of Psychiatry (http://psych.med.nyu.edu) and Department of Anesthesiology, Perioperative Care and Pain Medicine (http://www.med.nyu.edu/anes/home ). NYU Neuroscience community is also surrounded by other institutions in the greater New York metropolitan area (such as Columbia, Cornell, Rockefeller and Mount Sinai). The postdoc position is available immediately, and will be renewable up to 4 years depending on performance. Applications must have a PhD degree in Engineering (Biomedical or Electrical), Statistics, Physics or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in all research projects. Ability to learn new techniques and resolve new research challenges is essential. Strong experiences in developing rodent or primate brain-machine interface (BMI) systems are desired. Previous training in animal behavior and optogenetics, in vivo neurophysiological recordings, are preferred but not required. Strong programming skills in C/C++ or hardware implementation experiences are a plus. To apply, please send an email along with (i) CV (with a complete list of publications); (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe (Sage) Chen (zhe.chen3(a)nyumc.org<mailto:zhe.chen3@nyumc.org>) with a subject line “Postdoc application”. Best Zhe (Sage) Chen ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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PhD position: population coding in the retina
by Olivier Marre 02 May '16

02 May '16

A funded PhD position is available at the Vision Institute, Paris, to work with Olivier Marre on population coding in the retina. We have developed methods to record the activity of a large number (100-200) of ganglion cells, the output of the retina. The student will perform experiments and analyze data to understand how information can be coded in this activity. A particular emphasis will be put on the coding of trajectories of moving objects in different visual contexts. The research project is highly interdisciplinary. Applicants should have a quantitative background or some programming experience. A background in biology is welcomed but not required. The student will be trained to perform in vitro retina experiments. The Vision Institute ( http://www.institut-vision.org ) is a research center located in the center of Paris and dedicated to research on vision and vision diseases, with the aim of bridging the gap between academic, clinical, and industrial research. It is affiliated to Pierre and Marie Curie University. This PhD is funded as part of a project involving Drs Frédéric Chavane and Ivo Vanzetta (INT Timone, Marseille, France) and Dr Bruno Cessac (INRIA, Sophia-Antipolis). Collaborations with these labs will therefore be encouraged. The position should ideally start in October 2016. For more information, please contact Olivier Marre: olivier.marre(a)inserm.fr

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2nd Call for Papers: IEEE RO-MAN 2016 Workshop on Neuroscience Methods in Human-Robot Interaction
by Burcu Ayşen Ürgen 02 May '16

02 May '16

IEEE RO-MAN 2016 Workshop on Neuroscience Methods in Human-Robot Interaction (New York City, 26-31st August, 2016) Neuroscience methods such as brain imaging are increasingly used to address research questions in robotics, robot-human communication and interaction. This workshop will provide an overview of state-of-the-art work at the intersection of human-robot interaction and human neuroscience, to show how cross-disciplinary collaboration can be a win-win, and to help increase communication between researchers from different yet complementary disciplines, with the hope of catalysing new ideas and collaborations. Neuroscientists with expertise in several topics of interest for RO-MAN 2016 <http://www.ro-man2016.org/> (e.g., embodiment, empathy, social cognition, body movements, gestures, facial expressions, anthropomorphism, learning and imitation, social presence, inference of human states, machine learning and brain-machine interfaces) will introduce the methods used, and present empirical work exemplifying their application to robotics, highlighting not only how such studies have led to insights on neural mechanisms of interaction, communication, and collaboration, but also how the findings inform the design and development of new robots, robot-human collaborative systems, interaction modalities and interfaces. We will solicit papers from the broader community that address these themes. Robotics and neuroscience both being active, rapidly developing, and high priority research areas, and the combination of expertise across disciplines holding great promise for advances in both theory and applications, the workshop will serve an important role by bringing together researchers coming from different backgrounds. Panel sessions will address challenges for interdisciplinary and novel research and discuss ideas for increasing synergy and impact future work. *SPEAKERS* Ayse P. Saygin, PhD (UC San Diego, USA) Emily S. Cross, PhD (Bangor University, UK) Thierry Chaminade, PhD (Institut de Neurosciences de la Timone, FRANCE) Susanne Quadflieg, PhD (University of Bristol, UK) James Thompson, PhD (George Mason University, USA) *WORKSHOP ORGANIZERS* Burcu A. Urgen, PhD (University of Parma, ITALY) Ayse P. Saygin, PhD (UC San Diego, USA) Emily S. Cross, PhD (Bangor University, UK) Workshop website: http://neurorobotics.ucsd.edu/ *CALL FOR PAPERS* We solicit full paper submissions from cognitive and social neuroscientists and human-robot interaction researchers with expertise in several topics of interest for RO-MAN 2016 including but not limited to embodiment, empathy, social cognition, nonverbal communication via body movements, gestures, facial expressions, anthropomorphism, learning and imitation, social presence, social knowledge, inference of human states, machine learning and brain-machine interfaces. The submitted papers are intended to include applications of various neuroimaging methods such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS) to topics of relevance to RO-MAN 2016. Observational and behavioural studies may be suitable as long as they are highly cross-disciplinary. Theoretical papers that address the theme of the workshop and RO-MAN 2016 may also be included. The expectation from submissions is to highlight not only how neuroscience studies involving robotics have led to insights on the human cognitive and neural mechanisms of interaction, communication, and collaboration, but also how the findings inform the design and development of new robots, robot-human collaborative systems, interaction modalities and interfaces. *EVALUATION* All submissions will be evaluated by a minimum of two reviewers. The reviewers will evaluate each submission based on how informative the study has been both to human neuroscience AND human-robot interaction as well as the quality of the research methodology. All accepted papers will be published in workshop proceedings. Each paper accepted for an oral or poster presentation has to be presented by one of the authors. *IMPORTANT DEADLINES* Full paper submissions due 05/15/2016. Notifications will be sent by 05/18/2016. Final versions will be submitted by 05/20/2016. *PAPER GUIDELINES* All full paper submissions should follow the guidelines specified in the main conference website, check here <http://www.tc.columbia.edu/conferences/roman2016/submissions/papers/>. *HOW TO SUBMIT* The papers should be emailed to neuroscience.robotics.workshop(a)gmail.com by the deadline: 05/15/2016. -- Burcu Aysen Urgen, PhD Email: burcu.urgen(a)gmail.com Website: http://www.burcuaysenurgen.com

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Book: Bayes' Rule With Python
by James Stone 30 Apr '16

30 Apr '16

I'd like to announce the publication of this book: Bayes' Rule With Python A Tutorial Introduction to Bayesian Analysis by JV Stone Reviews, synopsis, and table of contents can be found here: http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html regards, Dr James V Stone, Department of Psychology, University of Sheffield, UK.

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SSBSS 2016: Call for Oral Presentations/Posters: 9-13 July 2016, Volterra (Pisa) Tuscany, Italy - 3rd Int. Synthetic & Systems Biology Summer School - Early Application: May 26, 2016
by Giuseppe Nicosia 29 Apr '16

29 Apr '16

_________________________________________________________________________ Call for Participation (apologies for multiple copies) Please help forward it to other potentially interested attendees, thanks! _________________________________________________________________________ 3rd International Synthetic and Systems Biology Summer School - SSBSS 2016, 9-13 July 2016, Volterra (Pisa) - Tuscany, Italy ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ https://www.facebook.com/ssbss.school/ https://twitter.com/SchoolSsbss EARLY APPLICATION DEADLINE: May 26, 2016 http://www.taosciences.it/ssbss/#application-form The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Volterra Learning Center (Pisa - Tuscany, Italy) on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment. SSBSS 2016 DEADLINES: Early Application: May 26, 2016 Notification Acceptance: from April 2 to 28 May 2016 Late Application: from May 27, to July 4th 2016 Notification Acceptance: from May 28th 2016 according to registration time Early Short Talk/Poster Submission: May 26, 2016 Notification Acceptance: from 2 April to 28 May 2016 Late Short Talk/Poster Submission: from May 27, to July 4th 2016 Notification of Decision for Oral/Poster Presentation: from May 28, 2016 according to submission time http://www.taosciences.it/ssbss/#application-form FINAL LIST OF SPEAKERS * Yaakov (Kobi) Benenson, Synthetic Biology Group@Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland Lecture 1: The practice of mammalian synthetic biology Lecture 2: Mammalian cell classifiers * Leonidas Bleris, Bioengineering Department, The University of Texas at Dallas, USA Lecture 1: Genome Editing Technologies and Therapeutic Modalities Lecture 2: Benchmark Circuits and Topological Properties * Edoardo Boncinelli, Universita’ Vita-Salute San Raffaele, Milano, Italy Lecture: TBA * John Cumbers, Founder SynBioBeta, Mountain View, CA, USA Lecture: Synthetic Biology: new tools for an industry at an inflection point. * Domitilla Del Vecchio, Department of Mechanical Engineering, MIT, USA Lecture 1: Modularity in genetic circuits: Dream versus Reality Lecture 2: Engineering Modularity in Genetic Circuits * Diego Di Bernardo, Dept of Chemical Materials and Industrial Production Engineering University of Naples "Federico II", Naples, Italy Lecture 1: "Engineering and Control of Biological Circuits in Yeast" Lecture 2: "Engineering and Control of Biological Circuits in Mammalian Cells * Barbara Di Ventura, Synthetic Biology Group, BioQuant/DKFZ, Heidelberg, Germany Lecture 1: Using blue light to control protein localization in living mammalian cells Lecture 2: Using split inteins for protein engineering in living cells * Jonathan S. Gootenberg, Feng Zhang and Aviv Regev Groups, Department of Systems Biology, Harvard Medical School, Harvard University, USA Lecture 1: "Discovering and Characterizing CRISPR effectors" Lecture 2: "Probing Biology with CRISPR Screening" * Markus Herrgard, Technical University of Denmark - Biosustain, Novo Nordisk Foundation Center for Biosustainability, Denmark Lecture 1: "Developing an Integrated Cell Factory Design Tool" Lecture 2: "Using Automated Laboratory Evolution to Optimize Cell Factories” * Shalev Itzkovitz, Department of Molecular Cell Biology, Weizmann Institute of Science, Israel Lecture 1: "Single Molecule Approaches for Studying Gene Expression in Intact Mammalian Tissues" Lecture 2: "Systems Biology of Stem Cell-Maintained Tissues” * Francesco Ricci, Dipartimento di Scienze e Tecnologie Chimiche, University of Rome Tor Vergata, Rome, Italy Lecture 1: "DNA Nanotechnology Tools and Reactions for Synthetic Biology" Lecture 2: "Nature-inspired DNA-based Nanodevices Next Generation Sequencing Workshop – Afternoon July 12th, 2016 * “How fast can we align sequences?” Mario Guarracino, CNR, Italy * “Advanced Bioinformatics tools for NGS” – TBC Luca Zammataro, Yale University, USA Tutorials: * “Detection and analysis of contaminating sequences in NGS sequencing data” Ilaria Granata, CNR, Italy * “Detection and interpretation of circular RNAs in RNA-seq experiments” Parijat Tripathi, CNR, Italy SSBSS 2016 DIRECTORS Diego Di Bernardo, TeleThon Institute of Genetics & Medicine - TIGEM and University of Napoli "Federico II", Italy Giuseppe Nicosia, University of Catania, Italy Luca Zammataro, Yale University, USA MORE INFORMATION ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ https://www.facebook.com/ssbss.school/ https://twitter.com/SchoolSsbss Social event(s): social tour and dinner in Florence. Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2016. Together we will make SSBSS a great event! See you in Tuscany in July! More Info: ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 3rd International Synthetic & Systems Biology Summer School - SSBSS 2016 * Biology meets Computer Science & Engineering * July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/ssbss/ ================================================================== 2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016 August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/mod/ ==================================================================

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Call for proposals to host the annual Computational Neuroscience (CNS) Meeting in 2018
by Tam, Nicoladie 29 Apr '16

29 Apr '16

Call for proposals to host the annual Computational Neuroscience (CNS) Meeting in 2018 The Organization for Computational Neurosciences (OCNS, http://www.cnsorg.org ) requests proposals from candidate local organizers to organize the CNS meeting in 2018 in a location outside of Europe, preferably in North or South America. Groups or individuals interested in organizing the CNS*2018 meeting should submit a proposal with consideration of the extensive on-line information ( http://www.cnsorg.org/cns-2018-local-organizer ) and using the on-line templates provided as a guide. The OCNS board members will select/discuss the different proposals, contact the potential local organizers for more information if necessary and come to a timely agreement between OCNS and potential local organizers. Proposals should be emailed to the OCNS president at president(a)cnsorg.org<mailto:president@cnsorg.org> no later than June 15th, 2016. Decisions are expected to be conveyed to potential organizers in July 2016. Astrid Prinz (OCNS President)

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Parallel Simulation with NEURON
by Ted Carnevale 28 Apr '16

28 Apr '16

A few seats remain available in the course Parallel Simulation with NEURON that we will be presenting at HHMI|Janelia Saturday, June 25 - Monday, June 27. This course is designed for users who already know how to write hoc or Python code for NEURON and now want to adapt existing models, or create new ones, that can be simulated on parallel hardware. Special attention will be paid to strategies for debugging, and measuring and improving performance. Registration is subject to approval by the course's faculty. The registration deadline is Friday, May 20, 2016. For more information and the online application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

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Fully funded PhD position, University of Genoa, Italy - "Visuo-haptic sensorimotor models"
by Silvio P. Sabatini 28 Apr '16

28 Apr '16

===================================================================== Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Italy. ===================================================================== The position will start on Nov 1st, 2016 on the following research project: ACTION-PERCEPTION TRANSFER IN VISUAL AND VISUO-HAPTIC BEHAVIOR _Deadline for Applications: June 10th, 2016_ Experiencing the sensory feedback gained from movements allows us to learn the contingencies and correlations between actions and sensory events. Accordingly, sensing "educates" motor action, but, conversely, and more elusively, motor practice can "educate" sensing. The proposed research aims at investigating the interplay between action and perception at different levels: (1) modelling early action-perception transfer in visual feature extraction (cf. neural coding of visual properties) and perceptual judgement processes (decoding stages); (2) experiments on bidirectional perceptual-action influence - including the development of systems and devices that integrate vision and haptics; (3) applications in neuromotor and cognitive rehabilitation, in which action is used to educate perception and perception is used to educate action. The project will provide the opportunity to work on neural modeling, visual and visuo-haptic psychophysics, and robotics. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. * HOW TO APPLY Candidates must have: - University degree at M.Sc. level (or expect to obtain it by October 31st, 2016) in Bioengineering, Computer Science, Physics, or related disciplines; - attitude for problem solving and interest in experimental work; - essential skills comprise Matlab and/or C/C++/C# or Python programming. Online application is possible till June 10th, 2016 (at noon) Italian time Full details on the call and the application procedure are available at: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ENG/ http://phd.dibris.unige.it/biorob/index.php/how-to-apply Prospective students, please contact: Silvio P. Sabatini (silvio.sabatini(a)unige.it) or Vittorio Sanguineti (vittorio.sanguineti(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. * WHERE The research will be conducted jointly at "The Physical Structure of Perception and Computation (PSPC) Lab", and the "Neuro-engineering and Neuro-robotics lab (NEUROLAB)", led by Silvio P. Sabatini and Vittorio Sanguineti, respectively. PSPC-Lab has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last years, the lab's research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. NEUROLAB (http://www.neurolab.dibris.unige.it/) focuses on experimental studies on neural control of movement, in normal and pathologic conditions. Recent activity aimed at investigating the computational basis of motor skill learning, and how this process can be facilitated by robots and other interactive technologies. Our labs are located in Genoa, a small beautiful town in northernItaly, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genoa is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Regards, -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

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PhD Studentships in Computational Neuroscience at the University of Hertfordshire
by Torben-Nielsen, Benjamin 28 Apr '16

28 Apr '16

We welcome applications for a funded PhD position in the Biocomputation Research Group at the University of Hertfordshire. The successful applicant will work on a project related to the detailed modelling of neuronal dynamics arising through dendritic processing and/or the analysis of morphological and circuit data. Potential projects in the fields of neuroinformatics and computational neuroscience include (but are not limited to): - Analysis of neuronal morphology and micro-circuitry. - Simulation of development of neuronal morphologies and tissues. - Simulation of dendritic processing on hardware. - Sensory processing and behaviour generation in individual invertebrate neurons. - Development of experimental robot controllers based on dendritic computation. - Structural plasticity at the single neuron and micro-circuitry level. More project ideas can be found here: http://www.dendrites.club/Positions.html The successful candidate will have extensive programming experience, preferably in Python (and/or other programming languages depending on the precise project). Depending on the project, experience with parallel programming (MPI, ZMQ), meshing software (VTK, CGAL, ITK, ...), or statistical analysis in R or Python are an advantage. In addition, we greatly value curiosity and a personal motivation to find out how things work. We collaborate closely with leading experimentalists and theoreticians all over the world, such as Prof. Adrian Moore (RIKEN, Japan), Prof. Erik De Schutter (OIST, Japan) and Dr. Marylka Uusisaari (Erasmus Medical Center Rotterdam, The Netherlands). The student will be based in the Biocomputation Group (biocomputation.herts.ac.uk) at the University of Hertfordshire and will be supervised by Drs. Ben Torben-Nielsen and Volker Steuber to whom informal enquiries can be sent. Successful candidates are eligible for a research studentship award from the University (approximately GBP 14,250 per annum bursary plus the payment of the student fees). Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 30 May 2016. Dr. Ben Torben-Nielsen Senior Lecturer (Assistant professor) Biocomputation Group University of Hertfordshire, UK

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