December 2016 - Comp-neuro - lists.cnsorg.org

Call for Applications: ISSA Summer School 2017
by Yukie Nagai 21 Dec '16

21 Dec '16

Call for Applications: ISSA Summer School 2017 https://groups.oist.jp/issa Date: May 22nd – June 2nd, 2017 Venue: Center for Information and Neural Networks (CiNet), Osaka, Japan https://cinet.jp/english/contact/ The Initiative for a Synthesis in Studies of Awareness, ISSA for short, is a group of scientists advocating an integrative approach to the study of consciousness and intelligence. ISSA will organize a two-week Summer School, with lectures covering a variety of topics in experimental and computational neuroscience, cognitive science, philosophy, complex systems, robotics and artificial intelligence. Following the lectures in the morning, students will engage in group disucussions and hand-on exercises in psychophysics, MRI, MEG, and robotics in the afternoon. First week: Fundamental lecturers and group discussions • Christof Koch (Allen Institute for Brain Science) • Ryota Kanai (ARAYA Brain Imaging, YHouse) • Larissa Albantakis (U Wisconsin-Madison) • Dan Zahavi (U Copenhagen) • Jun Tani (KAIST) Second week: Special topics and hands-on exercises • Kaoru Amano (CiNet) • Minoru Asada (Osaka U) • Kenji Doya (OIST) • Piet Hut (Institute for Advanced Study, ELSI, YHouse) • Hiroshi Ishiguro (Osaka U, ATR) • Shinji Nishimoto (CiNet) • Mariko Osaka (CiNet) • Nao Tsuchiya (Monash U) • Noriko Yamagishi (CiNet) Application: We invite graduate students and postdoctoral researchers to participate in the summer school. Organizers will provide lodging for all accepted students and travel support for selected students. The applications will be open till December 25, 2016 from the web site (https://groups.oist.jp/issa). The result of selection, based on the research interest, educational background, and the balance of gender and geographic origins, will be notified by February 2017. Co-Sponsors • Center for Information and Neural Networks (CiNet) • CREST Artificial Consciousness Project (leader: Ryota Kanai) • CREST Social Neuroscience Project (leader: Masahiko Haruno) • Earth-Life Science Institute (ELSI), Tokyo Institute of Technology • KAKENHI Mental Time Project (leader: Shigeru Kitazawa) • KAKENHI Artificial Intelligence and Brain Science Project (leader: Kenji Doya) • Okinawa Institute of Science and Technology (OIST) • YHouse (leaders: Piet Hut and Ryota Kanai) Web site: https://groups.oist.jp/issa Contact: Neural Computation Unit, Okinawa Institute of Science and Technology ncus (at) oist.jp — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

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The Fruit Fly Brain Observatory (FFBO)
by Aurel A. Lazar 20 Dec '16

20 Dec '16

We would like to announce that we have released a unique open source platform for investigating fruit fly brain function, in both healthy and diseased brains. Our early version of the FFBO is at: http://fruitflybrain.org <http://fruitflybrain.org/> The Fruit Fly Brain Observatory (i) integrates within a single database, genetic, anatomical, neurophysiological data with computational models. It provides location, morphology, connectivity and biophysical properties of every neuron, (ii) is equipped with powerful executable tools for circuit generation, numerical simulation and user-friendly query and visualization, (iii) automatically generates models of the fly brain that can be simulated efficiently using multiple Graphics Processing Units. There are three main features of the FFBO: NeuroNLP, NeuroGFX and NeuroAPPs. NeuroNLP is natural language user interface for querying the NeuroArch fly brain database. NeuroGFX is a programming interface that automatically translates biological and modeling data into executable code that can be run on a local or cloud-based GPU servers. NeuroAPPs host integrated healthy and diseased models applications of the fruit fly brain. Our project The Fruit Fly Brain Observatory http://fruitflybrain.org <http://fruitflybrain.org/> is one of six finalists in the Open Science Prize Competition https://www.openscienceprize.org <https://www.openscienceprize.org/>. We are a collaborative effort between Columbia University, National Tsing Hua University in Taiwan, and University of Sheffield, UK. It would be great if you can let people know about the competition and get them to hopefully vote for us at http://event.capconcorp.com/wp/osp/ <http://event.capconcorp.com/wp/osp/> :-) Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

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[CALL FOR PAPERS ]The 2017 International Conference on Brain Informatics (BI'17)
by 张铁林 19 Dec '16

19 Dec '16

[CALL FOR PAPERS]The 2017 International Conference on Brain Informatics (BI'17), Informatics Perspective of Investigation on the Brain and Mind Conference Data: November 16-18, 2017, Beijing, China Conference Homepage: http://bii.ia.ac.cn/bi-2017/ Homepage Mirror: http://wi-consortium.org/conferences/bi-2017/ (FULL PAPER SUBMISSION DEADLINE: April 2, 2017) ================ ***Conference Introduction *** Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry or Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible bookpublication in the Springer-Nature Brain Informatics & Health book series. ================ *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing ================ *** Important Dates*** March 10, 2017: Submission for workshop/special-session proposals March 30, 2017: Notification of workshop/special-session proposal acceptance April 2, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ================ *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ================ *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ================ *** Organizers*** General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng(Chinese Academy of Sciences, China) Yong He(Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Tielin Zhang (Chinese Academy of Sciences, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) ================ *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org ================ (END)

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PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407
by Tsaneva-Atanasova, Krasimira 17 Dec '16

17 Dec '16

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells
by Tsaneva-Atanasova, Krasimira 17 Dec '16

17 Dec '16

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics Living Systems Institute University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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CfP: 18th Int. Conf. on Engineering Applications of Neural Networks
by Simone Scardapane 16 Dec '16

16 Dec '16

[Apologies if you receive multiple copies of this CFP] -------------------------------------------------------------------------- 18th Int. Conf. on Engineering Applications of Neural Networks EANN 2017 (Athens, Greece, August 25-27, 2017) Workshop submission deadline: 11th February, 2017 Paper submission deadline: 20th April, 2017 https://conferences.cwa.gr/eann2017/ -------------------------------------------------------------------------- Call for Papers -------------------------------------------------------------------------- Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere in ALL ARTIFICIAL INTELLIGENCE TOPICS! Papers should be no longer than 10 pages formatted according to the LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory. Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER CCIS “Communications in Computer and Information Science” and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the proceedings. Call for Workshops -------------------------------------------------------------------------- Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panelists who have made a commitment to participate. https://conferences.cwa.gr/eann2017/call-for-workshops/ Areas of interest: https://conferences.cwa.gr/eann2017/areas-of-interest/ Important dates -------------------------------------------------------------------------- * Tutorial and workshops proposals: February 11th, 2017 * Notification of tutorial and workshops proposals: February 12th, 2017 * Paper submission: April 20th, 2017 * Notification of paper acceptance: May 13th, 2017 * Conference Dates: 25-27 August, 2017

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Call for Workshops - Bernstein Conference 2017
by Zrinka Gattin 14 Dec '16

14 Dec '16

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** *Important Dates:* _Workshops: _September 12 - 13, 2017 _Main Bernstein Conference:_ September 13 - 15, 2017 _Deadline for proposal submission:_ March 01, 2017 _Notification of workshop acceptance:_ March 27, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. _Workshop time frame:_ September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops *Deadline for submission of Workshop proposals: March 01, 2017* Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(at)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail: zrinka(a)nld.ds.mpg.de

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Organization for Computational Neurosciences (OCNS) - CNS2017 Meeting in Antwerpen (Belgium) - July 15-20, 2017
by Giugliano Michele 14 Dec '16

14 Dec '16

Dear Colleagues, apologies for cross postings. I bring to your attention the announcement of the CNS<http://www.cnsorg.org/cns-2017>2017 <http://www.cnsorg.org/cns-2017> Meeting<http://www.cnsorg.org/cns-2017>, organised at the University of Antwerpen, by myself and Daniele Marinazzo. Please circulate it at your convenience and/or print and stick the A4 poster (download it here<https://www.dropbox.com/s/5yclp8dyspgnmu6/CNS2017_A4Poster.jpg?dl=0>) to the door of your office, library, campus, etc. Organization for Computational Neurosciences (OCNS), 26th Annual Meeting, Antwerpen, Belgium, July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece and chair of FENS-Kavli network of excellence Fernando Lopes Da Silva, University of Amsterdam, The Netherlands Anne Churchland, Cold Spring Harbour Lab, USA Registration will open on January 11, 2017. Abstract submission will open on January 12, 2017 and close on March 5. Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2017 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org — Michele GIUGLIANO, PhD Dept. of Biomedical Sciences University of Antwerp B-2610 Wilrijk - Belgium www.uantwerpen.be/michele-giugliano<http://www.uantwerpen.be/michele-giugliano>

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Vacancy: Three Positions in the Dutch Research Consortium "Language in Interaction".
by Verhoef, J.P. (Julia) 12 Dec '16

12 Dec '16

Three Positions in the Dutch Research Consortium 'Language in Interaction' (1,0 fte) [Logo NWO][Logo]Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.10.16 Application deadline: Jan 29, 2017, 23:59 CET Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. Currently, our consortium advertises 1 Postdoc and 2 Research Assistant positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the advertised positions<https://www.languageininteraction.nl/bqpositions.html>. Work environment The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? Successful candidates will be appointed at one of the consortium's home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. Detailed information on: www.languageininteraction.nl/bqpositions.html<http://www.languageininteraction.nl/bqpositions.html> General requirements for all positions are: · a degree in one of the fields indicated for the positions; · strong motivation; · excellent proficiency in written and spoken English. What we have to offer · employment: 1,0 fte; · you will be appointed at one of the consortium's home institutions, depending on the position applied for; · Terms of employment depend on the embedding institution. · Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance. Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium<https://www.languageininteraction.nl/>. Further information on: the different positions<http://www.languageininteraction.nl/bqpositions.html>, including terms of employment and contacts Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) using the button 'Apply'. Your application should include (and be limited to) the following attachments: · a cover letter quoting at the top the number (BQ1N or BQ4RA) of the position you apply for, · your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before Jan 29, 2017, 23:59 CET. For more information on your application: +31 24 3611173. Big Question 1 Scientific summary The big question this project addresses is how to use computational modeling to link levels of description, from neurons to cognition and behavior, in understanding the language system. We focus on the mental lexicon and aim to characterize its structure in a way that is precise and meaningful in neurobiological and (psycho)linguistic terms. Our overarching goal is to devise causal/explanatory models of the mental lexicon that can explain neural and behavioral data. This will significantly deepen our understanding of the mental lexicon, lexical access, and lexical acquisition. Postdoc Position - BQ1N Neurobiologically realistic models of the mental lexicon Content description You will participate in a team effort to understand the computational neurobiology underlying language by means of recurrent networks of spiking neurons (RNN) for sentence processing. The goal is to develop an RNN model of the long-term storage and retrieval of lexical items and their associated structural and semantic properties (Mental Lexicon), encoded into high-dimensional feature vectors. Core objectives are to understand the nature of these lexical representations, how they are linked to relevant retrieval cues, and how this system is acquired based on local, unsupervised, neurobiological plasticity principles (e.g., spike-timing dependent plasticity, homeostatic plasticity, synaptic consolidation). This memory network will interface with a network for online sentence comprehension (Unification) that is currently being developed in the Neurobiology of Language Department (MPI). In this combined architecture it will be investigated to what extent structured word representations delivered by the mental lexicon are suitable for incremental, combinatorial processing and what-conversely-the influence of sentence context is on lexical retrieval. Model building will be supplemented by the development of analytic techniques to measure memory capacity and dynamic stability, and methods to discover hidden representational structure in neuronal assemblies. Requirements You should have · A PhD degree (or equivalent) on the computational modeling of language processing/acquisition with a background in mathematics, physics, computer science, or other relevant fields of study. · A strong background in psycholinguistics as well as computational neuroscience is required. This includes detailed knowledge of neuronal dynamics, synaptic plasticity, and neurobiological principles for learning. · Expertise on mathematical models of neural networks, dynamical systems, and the analysis of neuronal activity is highly valued. · Extensive experience in scientific computing, including numerical methods, large-scale simulations, and data-science approaches. Programming experience especially in languages such as Matlab and Python is required, knowledge of simulation tools like NEST is desirable. · Experience with concepts and methods for statistical analysis, and with state-of-the-art techniques for data visualization. · An active interest in brain physiology, memory research, and computability theory. · Affinity with cognitive neuroscience, machine learning, and fundamental issues in theoretical linguistics is desirable. · Experience with designing and supervising PhD projects and have a proven ability to work in an interdisciplinary team, with strong communication skills in an international work environment. · The ability to work independently, organize and lead group meetings, compose research reports regularly, and present results to a wide scientific audience. · Fluency in English, spoken and written, is a must. Knowledge of Dutch is desirable but not mandatory. Embedding and Terms of employment This position will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; · Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E13 Stufe 1 (TVöD Bund). Final scaling dependant on experience; · In addition to the salary: an 8% holiday allowance · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Dr. Karl Magnus Petersson (Karl-Magnus.Petersson(a)mpi.nl<mailto:Karl-Magnus.Petersson@mpi.nl>) and Prof. Peter Hagoort (Peter.Hagoort(a)mpi.nl<mailto:Peter.Hagoort@mpi.nl>) Big Question 4 Scientific summary We aim to characterize variation in language processing and learning skills and to determine how these variations relate to variations in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults. Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. Strand B uses variability in learning ability to investigate why second-language (L2) acquisition can become harder in adulthood. Two Research Assistant Positions - BQ4RA Content Description You will work primarily in Strand A of the project. You will be involved in the development of the tests items (e.g., generation of stimuli, adaptation of English tests for use in Dutch, preparing the presentation of the items in existing software packages), data analysis and archiving. Your main duties will, however, be to schedule and test participants in the lab in Nijmegen and in schools in various locations in the Netherlands. Requirements You should minimally have a BA degree (or equivalent) in Psychology, (Special) Education , or another relevant field of study. You must have native or near native knowledge of Dutch and good knowledge of English. Good IT skills would be highly valued. Most importantly, you should have good communicative and organizational skills and feel comfortable interacting with young persons, individually and in groups. Some experience in teaching, therapy, or tutoring would be useful. Applications from excellent candidates with a less than ideal profile will be equally considered. Embedding These positions will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; * Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E9b Stufe 1 (TVöD Bund); · In addition to the salary: an 8% holiday allowance; · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Prof. Antje S. Meyer (antje.meyer(a)mpi.nl<mailto:antje.meyer@mpi.nl>) and Prof. James McQueen (j.mcqueen(a)donders.ru.nl<mailto:j.mcqueen@donders.ru.nl>)

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vacancy for female tenure track assistant professor at University of Groningen (Artificial Intelligence)
by Marieke van Vugt RUG 10 Dec '16

10 Dec '16

There are 5 tenure track positions available for female candidates in the Faculty of Science and Engineering, of which one will be placed in the Department of Artificial Intelligence. This department has a very broad interpretation of artificial intelligence, with expertise ranging from cognitive science to robotics and machine learning. We have a particular interest in model-based neuroscience and neuromorphic computing. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… Rosalind Franklin Fellowships at the Faculty of Mathematics and Natural Sciences (216337-41 RFF) Organisation The Faculty of Mathematics and Natural Sciences is home to a kaleidoscopic range of disciplines and research strengths. Our teaching and research programmes range from nanomaterials to engineering, from pharmacy to ecology, and from computer science to astronomy. Our researchers investigate fundamental key questions while collaborating with partners from industry, the medical world and other social sectors. Frontline research groups explore new fields such as synthetic biology and sustainable energy use. The Faculty place a high priority on the international dimension of teaching and research and has a long history of stimulating, initiating and carrying out multidisciplinary and internationally oriented research. The Faculty has 40 Bachelor’s and Master’s degree programmes, 35 of which are English-taught, attracting students from all over the world. Job description The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme to promote the advancement of talented international researchers at the highest levels of the institution. The ambitious programme has been running at the Groningen Faculty of Mathematics and Natural Sciences since 2002 and at the University as a whole since 2007. The Rosalind Franklin Fellowship programme is aimed at women in industry, academia or research institutes who have a PhD and would like a career as full professor in a European top research university. The Fellowship is only awarded to outstanding researchers. Successful candidates will be expected to establish an independent, largely externally funded research programme in collaboration with colleagues at our Faculty and elsewhere. They will also be expected to participate in and contribute to the development of the teaching programme of their discipline. The University of Groningen has 13 tenure track positions available in this programme, currently co-funded by the European Union. We invite ambitious female academics to apply for these positions. Under European jurisdiction it is lawful to specifically recruit underrepresented groups. Five RFF positions In the next round of Rosalind Franklin Fellowships, the Faculty of Mathematics and Natural Sciences has five Rosalind Franklin Fellowships to offer in the disciplines: Fundamental Computer Science (Data Management, Theory of Computing, Algorithms, Networks, Security) Fundamental Mathematics (Algebra, Geometry, Analysis), Mathematical Data Analysis, Complex Systems Mechanical Engineering (field of dynamics and vibrations, optomechatronics, or other fields relevant for advanced instrumentation) Artificial Intelligence (logic, neuromorphic computing, cognitive modelling or robotics) Bioinformatics (complex biological systems, genome analyses, metagenomics and microbiology, host-microbe biology, new computational algorithms and methods). Qualifications • PhD degree for at least 3 years on reference date 1 February 2017 • exemplary research record demonstrated by publications in international top journals and/or in peer-reviewed books • proof of independence and international recognition • experience in various working environments in different countries • successful in acquiring external funding for research projects • teaching experience or proven inclination for teaching demonstrated by tutoring/mentoring of individuals or small groups • demonstrable organizational qualities and communication skills • a well-founded and motivated application with an innovative research plan for the first five years and a challenging outlook for the future which takes into account the international research landscape in their field of specialization • must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the reference date of 1 February 2017. Please check whether you are eligible to apply by doing the eligibility check: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/ <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/> Additional requirements In addition to the University’s general requirements for the fellowships, the Faculty of Mathematics and Natural Sciences has the following additional requirements: • at least two years of postdoctoral experience, preferably in various research institutions (Dutch applicants should have at least two years of postdoctoral experience outside The Netherlands) • experience in supervising research projects • the candidate must have the potential to develop into a leader who guides and inspires • the proposed research should be complementary and of added value to the research areas currently represented within the Faculty. Conditions of employment The University of Groningen offers a starting salary for the Rosalind Franklin Fellow/assistant professor, dependent on qualifications and relevant work experience, of a minimum of € 3,427 gross per month (salary scale 11 Dutch Universities) up to a maximum of € 5,330 gross per month (salary scale 12) for a fulltime position. The salaries include an 8% holiday allowance, an 8.3% end-of-year bonus and participation in an employee pension scheme. The conditions of employment comply with the Collective Labour Agreement for the University of Groningen. The appointment of a Rosalind Franklin Fellow/assistant professor will be on a temporary basis for a maximum of 6 years. After 5 years of employment, there will be an assessment of performance based on established criteria including research and teaching qualifications. If the outcome of the assessment is positive, the assistant professor will be promoted to the rank of associate professor with tenure. At the end of a further 4-7 year period, there will be another assessment aimed at promotion to full professor. Please visit our webpage for more information about conditions of employment: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/condi… <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/condit…> Application You may apply for this position until 31 January / before 1 February 2017 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Applicants should submit: 1. A full curriculum vitae including a complete list of publications (file 1) 2. A letter of motivation (file 2) 3. A 3-5 page statement of research accomplishments and future research goals (file 3) 4. A list of five selected ‘best papers’ (preferably including copies) (file 4) 5. the names and contact information (including email address) of 3 referees (file 5). The application files should be sent electronically in PDF format. Applications with missing credentials will not be taken into consideration. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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