- Comp-neuro - lists.cnsorg.org

POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS at Stanford University
by Aarthi Padmanabhan July 11, 2017

July 11, 2017

The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Aarthi Padmanabhan, PhD Scientific Research Director Stanford Cognitive and Systems Neuroscience Laboratory Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine

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Neuroscience Gateway Workshop at SFN 2017 meeting
by Ted Carnevale July 11, 2017

July 11, 2017

Using the Neuroscience Gateway Portal for Parallel Simulations Saturday, Nov. 11 from 9 AM to noon at downtown Washington DC location. 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 BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 27, but you should sign up early because space is limited. See https://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html for more information and a link to the registration form. --Ted

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NEURON course at SFN 2017 meeting
by Ted Carnevale July 11, 2017

July 11, 2017

Using NEURON to Model Cells and Networks Friday, Nov. 10 from 9 AM to 5 PM at a downtown Washington DC location. 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. 27, but you should sign up early because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html for more information and a link to the registration form. --Ted

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Announcing the workshop on cloud-based BCIs at the BCI Conference 2017
by Vinay Jayaram July 11, 2017

July 11, 2017

Dear all, We are happy to announce to potential attendees of the 7th BCI Conference in September 2017 that Workshop 1 (Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection) is now calling for abstracts about work on BCIs for home use. This workshop is intended to bring together the various subfields of the BCI community to focus on some of the most pressing issues in the field: Robust machine learning with large datasets, low-cost and robust hardware, and applications for use without expert assistance. We are also happy to confirm Dr. Tim Mullen (Qusp Neurotechnologies) and Prof. Brian Murphy (BrainWaveBank) as keynote speakers for our workshop. More information and the workshop schedule can be found here https://webdav.tuebingen.mpg.de/graz2017/. Interested parties are invited to submit a 200-word abstract about the work they would like to present either via the website or to cloudbci(a)tuebingen.mpg.de by 4 August. Looking forwards to seeing you in Graz, Vinay Jayaram -- Vinay Jayaram PhD Student Max Planck Institute for Intelligent Systems Spemannstrasse 34, 72076 Tübingen, Germany

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Two PI positions in Cognitive Neuroscience, University of Trento, Italy
by moritzwurm July 11, 2017

July 11, 2017

Call for Expression of Interest for two Assistant Professor positions. More senior candidates will also be considered. *Cognitive Neuroimaging Principal Investigator, University of Trento, Neuroimaging Labs (LNiF), Center for Mind-Brain Sciences (CIMeC), Trento, Italy* The Center for Mind-Brain Sciences (CIMeC) at the University of Trento, Italy, invites expressions of interest from highly motivated scholars in view of the opening of two principal investigator positions at the level of assistant professor (3 years + potential 2 year extension). Candidates who have already a tenured position elsewhere would be considered directly for a tenure-track assistant professor/tenured associate professor. /Research Profile/ The ideal candidate should have an established track record of _research in any area of cognitive neuroimaging studies, preferably fMRI_. The successful candidates will work in the Neuroimaging Labs (LNiF: http://www.cimec.unitn.it/en/69/neuroimaging-labs-lnif) at the Center for Mind-Brain Sciences (CIMeC: http://web.unitn.it/en/cimec) They are expected to develop their own research program but also to interact actively with other CIMeC faculty using different methodologies to address various aspects of cognitive functioning. Knowledge of Italian is appreciated but not required. /Teaching/ The successful candidates are expected to contribute to the Center’s teaching mission at the PhD and MSc level. Instruction is in English. Successful candidates will negotiate the possibility of supervising PhD students who are fully funded by the University. The teaching duties at the MSc level vary depending on academic rank. Assistant professors are expected to teach 60 hrs/year, tenure-track assistant professors 90 hrs/year, tenured associate professors 120 hrs/year. UniTN and CIMeC The University of Trento consistently ranks as a top Italian university in both national Research Assessment Evaluations (RAE) and University Surveys.In the latest RAE the University of Trento as a whole ranks 1st among medium-sized universities. The CIMeC's goal is to foster cutting-edge research on cognition and its neural basis, and to support the dissemination of these findings internationally and within the local community. As an interdisciplinary research and teaching center, it draws on faculty from several departments, including Psychology and Cognitive Science, Linguistics and Philosophy, Physics, Mathematics, and Information Engineering and Computer Science. Current faculty members come from Italy, Germany, The Netherlands, Belgium, USA, Canada, Argentina, Israel, and the United Kingdom. Although a relatively small group, CIMeC faculty have won many competitive national and international grants, including 1 European Research Council (ERC) advanced grant, 1 ERC consolidator grant, 6 ERC starting grants, other European Framework grants, and highly competitive grants awarded by the local government. The Center has consistently been ranked the leading cognitive neuroscience research unit in Italy. It is part of the Erasmus Mundus European Master Program in Language and Communication Technologies. Expressions of interest in English should include a brief motivation letter and a Curriculum Vitae and should be addressed to Dr. Alfonso Caramazza (alfonso.caramazza(a)unitn.it) <mailto:alfonso.caramazza@unitn.it%29>, who chairs a committee that includes Drs. Mel Goodale and Alex Martin.

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PhD studentship: "The risk of unknowingly disclosing personal information through eye tracking and webcam technology"
by Durant, Szonya July 11, 2017

July 11, 2017

Leverhulme Magna Carta Doctoral Scholarship Department of Psychology and Department of Computer Science, Royal Holloway, University of London Project: The risk of unknowingly disclosing personal information through eye tracking and webcam technology Supervisors: Dr Szonya Durant (Dept. of Psychology), Dr Dawn Watling (Dept. of Psychology) and Dr Zhiyuan Luo (Dept. of Computer Science) Applications are invited for a funded full-time studentship for doctoral research, Awarded under the Leverhulme Magna Carta Doctoral Centre starting in September 2017 (with the possibility of extending the start date until January 2018 at the very latest). The scholarship covers UK and European Union tuition fees and an annual stipend towards living expenses. The 2017/18 value of the stipend is £16,553. The Research Project This project will assess the risk of unknowingly disclosing personal information over social media, simply through how we move our eyes when interacting with or scanning social media. We aim to examine what personal information (e.g. age, sex, aspects of personality) can be determined from eye movement patterns whilst scanning social media using machine learning. This interdisciplinary PhD project draws on the fields of sensory neuroscience, in particular, the experimental study of eye movements and the latest cutting edge computer science developments in machine learning. The novelty of the proposed interdisciplinary approach promises to yield original insights that will expand the knowledge and understanding in both fields of study and have impact for our understanding of issues around internet privacy. This project is supervised by three experts in their field, the primary PhD supervisor (Dr Szonya Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant(64105598-7…>) and two co-supervisors (Dr Dawn Watling<https://pure.royalholloway.ac.uk/portal/en/persons/dawn-watling(70194d88-af…>and Dr Zhiyuan Luo<https://pure.royalholloway.ac.uk/portal/en/persons/zhiyuan-luo(cb78d990-b10…>). Both Dr Durant and Dr Watling are based in The Department of Psychology, which has an active and expanding postgraduate research community, is well-equipped for research. It was ranked 6th out of 82 UK Psychology Departments in the 2014 Research Excellence Framework (REF), with 93% of the research classified as world-leading or internationally excellent. Research in the Department spans a breadth of topics across psychological sciences and neuroscience and is supported by excellent facilities - further information on the research environment can be found here<https://www.royalholloway.ac.uk/psychology/research/home.aspx>. Dr Luo is based in the Department of Computer Science, one of the UK's leading centres for research into Computer Science - further information on the research environment can be found here<https://www.royalholloway.ac.uk/computerscience/research/home.aspx>. In the most recent Research Excellent Framework (REF 2014), it was ranked 11th in the UK for the quality of research output, with a third of publications recognised as world leading, and a further half internationally excellent (87% in total). Both departments are situated on a beautiful campus close to London. Applicants should ideally hold, or be predicted to achieve, a first class undergraduate degree or equivalent in Cognitive or Computer Sciences or related disciplines (minimum requirement: 2.1). An MSc in a Cognitive or Computer Sciences related subject is desirable but not essential. The ideal candidate will have strong skills in computer programming and data analysis. Eye tracking and experimental design experience would be advantageous. The Scholarship The scholarship will fund a full-time PhD for three years, during which time a full academic training programme will be provided. The successful candidate will be engaged in all aspects of the research project, including engaging with and disseminating findings to external stakeholders. The successful candidate will be expected to contribute to the activities of the Magna Carta Doctoral Centre as well as the postgraduate research community in the Department of Psychology including contributing to teaching. For further details about the Leverhulme Magna Carta Doctoral Centre, please see: https://www.royalholloway.ac.uk/iquad/news/articles/leverhulmemagnacartadoc… https://www.royalholloway.ac.uk/studyhere/researchdegrees/feesandfunding/le… Informal enquiries about the project should be directed to: szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk>. Fulldetails on how to make an application are shown on our Departmental Website<https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate…>(select tab "3. Leverhulme Magna Carta Studentships") and in the College Webpages<https://www.royalholloway.ac.uk/studyhere/researchdegrees/applying/applicat…>. For further details on the application process please contact: Sharon Clutterbuck on psyoffice(a)rhul.ac.uk<mailto:psyoffice@rhul.ac.uk>. Closing date: 5pm on Tuesday 1st August 2017 (may be extended if not enough applications are received for the September start date) Interview dates: 7-18 August (can be flexible around existing commitments) ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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2 PhD in computational cognitive neuroscience / comp linguistics, Uni Birmingham, UK
by Uta Noppeney July 11, 2017

July 11, 2017

The Computational Cognitive Neuroimaging Group at the University of Birmingham, UK, is seeking two enthusiastic PhD candidates with strong analytical and quantitative abilities for the projects: 1. Robust audiovisual speech recognition in man and machine https://www.findaphd.com/search/ProjectDetails.aspx?PJID=87556 2. Who does what to whom - Syntactic parsing in man and machine https://www.findaphd.com/search/ProjectDetails.aspx?PJID=87595 Applicants should have a background in computer science, neuroscience, computational linguistics, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage. The PhD positions are open to UK and EU nationals. A full 4 year studentship award comprises of an annual stipend at £14,553 for 2017/18 (pro rota for part-time) and full payment of tuition fees at UK/EU level of £4,195 in 2017/18. Application deadline 28th July 2017. For further information, please see http://www.birmingham.ac.uk/postgraduate/pgr/epsrc-studentships/index.aspx, links above or email Prof Uta Noppeney (U.Noppeney(a)bham.ac.uk)

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Job position: PhD / Post-Doc researcher: Deep-Learning and EEG/ECG
by Martijn Arns July 11, 2017

July 11, 2017

Dear colleagues, We have a vacancy for a PhD or Post-Doc researcher with a focus on applying and developing Deep Learning on EEG and ECG data. See below application text and also: https://www.brainclinics.com/vacature Feel free to distribute with interested colleagues. Research Institute Brainclinics is specialized in applied neuroscience with a focus on mood, concentration, and sleep problems as often seen in psychiatric disorders such as depression, ADHD, OCD, and insomnia. Furthermore, Brainclinics is specialized in research into neuromodulation techniques such as rTMS, tDCS and neurofeedback, personalized medicine, Research Domain Criteria (RDoC), chronobiology, sleep and the circadian system. Within our team we are currently looking for a PhD-candidate or Post-Doc Researcher that will focus on developing and evaluating Deep-Learning techniques applied to psychophysiological data such as EEG and ECG, to extract new knowledge from large datasets to foster the RDoC and personalized medicine approaches we investigate. As PhD-candidate/Post-Doc at Brainclinics, you will work in a varied research team consisting of several PhD-candidates as well as senior researchers. You will contribute to innovation in EEG/ECG analysis techniques, support current PhD-candidates with your technical skills, and develop your own research line focusing on Deep-Learning techniques applied to EEG/ECG. To be eligible for application, you need to have demonstrable experience with the techniques listed below. Especially experience with Deep-Learning techniques is a requirement. We expect: • A Master’s degree and/or PhD in a relevant discipline, e.g., (cognitive) neuroscience, physics etc. • Scientific ambition and drive • Knowledge of python and one more higher programming language (e.g. C#) • Knowledge in matrix computation (e.g. MATLAB) • Knowledge of AI-concepts • Knowledge of time series computation • Accented knowledge of Deep learning techniques with net architectures and layer structures such as convolutional layers and LSTM layers • Experience with neuropsychiatric disorders We offer: • A professional, efficient and innovative research team • A minimum contract for 32 hrs, with possible extension to 40 hrs. • A salary in line with the University CAO Apply If you’re interested in this position and you would like to apply, please send your motivation with CV and photo to Dr. Martijn Arns: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> Only applications that meet the criteria above will be evaluated. Closing date for this application is August 21st, 2017. Kind regards, Martijn Arns, PhD Research Institute Brainclinics Utrecht University Dept. of Experimental Psychology Twitter: @Brainclinics Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31(0)24-7503505 GSM: +31 (0)6-48177919 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com/>

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Tenure track and mid-career positions at ELSC
by Yoram Burak July 11, 2017

July 11, 2017

Please see the two ads below, for faculty positions at the Edmond and Lily Safra Center for Brain Sciences. The application deadline for the searches is September 1, 2017. --- *Tenure Track Positions at ELSC* Following the recent inauguration of the new home <https://elsc.huji.ac.il/index.php?q=building> for the Edmond and Lily Safra Center for Brain Sciences (ELSC) <https://elsc.huji.ac.il/>, we are offering tenure-track positions at the lecturer and senior lecturer levels (roughly equivalent to assistant professor level). We are looking for excellent *early-stage scientists* who aspire to establish active innovative and interdisciplinary research programs *in neuroscience*. *ELSC builds upon Hebrew University’s <http://new.huji.ac.il/en> record of excellence and innovation in its multidisciplinary approach to brain sciences. * *ELSC provides a thriving interface between theoretical and experimental neuroscience across levels.* We offer: ü State-of-the-art, individually-designed laboratories and research facilities ü Competitive start-up funding ü Top ranking Ph.D. interdisciplinary program ü Ph.D. and post-doc fellowships ü State-of-the-art central research facilities ü Outstanding academic milieu *We seek to recruit scientists in the following areas:* 1. Theoretical and computational neuroscience 2. Cognitive neuroscience & human brain imaging 3. Neural circuits and behavior 4. System neuroscience in NHP 5. Molecular neuroscience *Application requirements:* ü Curriculum vitae ü A letter of intent ü An outline of future research and scientific vision ü Reference letters from the PhD advisor and Post-Doctoral host ü Three to five publications that best represent their research work ü Names of 2-3 additional colleagues willing to provide letters of reference *Applications Deadline: Sep 1, 2017* *Applications materials have to be submitted on-line <https://elsc.huji.ac.il/content/new-academic-tenure-track-positions-elsc>* *For further information, please contact Ms. Idit Nusilevitz:* *brain(a)elsc.huji.ac.il* <brain(a)elsc.huji.ac.il>*; phone: 972-2-6585375 <02-658-5375>* *Mid-Career Neuroscientists Positions at ELSC* Following the recent inauguration of the new home <https://elsc.huji.ac.il/index.php?q=building> for the Edmond and Lily Safra Center for Brain Sciences (ELSC) <https://elsc.huji.ac.il/>, we are looking for excellent *Mid-career neuroscientists* (associate or full professor) who aspire to establish active innovative and interdisciplinary research. *ELSC builds upon Hebrew University <http://new.huji.ac.il/en>’s record of excellence and innovation in its multidisciplinary approach to brain sciences.* *ELSC provides a thriving interface between theoretical and experimental neuroscience across levels.* We offer: ü Large, individually-designed *laboratories* ü State-of-the-art central *research facilities* ü Competitive *transition* and *start-up* funding ü Ph.D. and *post-doctoral fellowships* ü An Outstanding academic milieu *We seek to recruit mid-career scientists with a proven track record, in all areas of neuroscience.* To apply, please send *Curriculum Vitae* and a *Letter of Intent* directly to <elsc-director(a)elsc.huji.ac.il> *Applications Deadline: Sep 1, 2017* For information about ELSC see *http://elsc.huji.ac.il/ <http://elsc.huji.ac.il/>* For information please contact Ms. Idit Nusilevitz: brain(a)elsc.huji.ac.il; phone: 972-2-6585375 <02-658-5375>

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Subject:, postdoc position at Georgia Tech: intersection of visual modeling and computer vision
by Christopher Rozell July 10, 2017

July 10, 2017

A postdoc position at the intersection of Computational Neuroscience, Machine Learning, and Computer Vision is available with the group of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). We are looking for a highly motivated and creative individual who enjoys working in an exciting interdisciplinary research environment. The research project centers around modeling the visual perception of objects undergoing attribute changes. Applicants should hold a PhD in a related discipline with a strong research record. Experience in areas such as modeling of visual perception, manifold learning, and general computer vision are all positives. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English, strong coding skills, and ability to work on an interdisciplinary team are all required. The start date is flexible but ideally would be as soon as possible. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech's campus in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to Dr. Rozell at (crozell -at- gatech -dot- edu). Applications are currently being reviewed and will continue until the position is filled.

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3 Phd/PostDoc position PhD position Industrial Robotics and Design of Electronics Equipment - University of Cadiz (Spain).
by Arturo Morgado July 10, 2017

July 10, 2017

University of Cadiz (Spain) are available 3 Phd/PostDoc position at the Applied Robotics Research Group to participate in R&D collaborative projects with companies. You can find details here: <http://vrteit.uca.es/convocatorias/personal-conv/programa-de-atraccion-de-t…> http://vrteit.uca.es/convocatorias/personal-conv/programa-de-atraccion-de-t… Doctorates with experience in the field of transference and innovation in Industrial Robotics and Design of Electronics Equipment. A minimum of 15-year seniority in their grade (Distinguished Researcher) is required for 1 of them (VTIT‐IDROB‐4 position). For the 2 remaining (ASCETI) the minimum applied is two years since the completion of the doctoral thesis (VTIT‐AROB‐13 and VITI‐ADEE‐17 positions). Candidates must speak Spanish and English. Contracts will have a duration of 4 years with a gross salary of 52000 EUR per year plus a yearly bonus of 3000 EUR, in the case of the young researcher (ASCETI), for reaching a minimum of objectives. In the case of the Distinguished Researcher, this amount will rise up to 100.000 EUR. The researchers object of the contract, will be part of a multidisciplinary team and will undertake industrial development, research and innovation projects for the University of Cádiz (Spain) in collaboration with companies of international scope in the area of Cadiz. Moreover, each researcher will be mentoring a doctoral candidate (who will hold a pre-doctoral contract) and will be his/her Thesis Director. The areas of work are as follows: Industrial Robotics and Design of Electronics Equipment. The period established for receiving application goes from 30th of June to 19th of July 2017. The incorporation of the researcher in the University of Cádiz is due in September 2017. Please, click on the following <http://www.uca.es/personal/portal.do?TR=C&IDR=288> http://www.uca.es/personal/portal.do?TR=C&IDR=288 in order to submit your application form. Any question don’t hesitate to contact us: <mailto:industrial.innovation@uca.es> industrial.innovation(a)uca.es and <mailto:arturo.morgado@uca.es> arturo.morgado(a)uca.es. Best regards. --------------------------------- Arturo Morgado Estévez. <mailto:arturo.morgado@uca.es> arturo.morgado(a)uca.es Head Applied Robotics Research Group. TEP-940. Department of Engineering in Automation, Electronics, Architecture and Computer Networks. Faculty of Engineering. University of Cadiz (Spain). Avenida de la Universidad de Cádiz, nº 10, CP 11519, Puerto Real (Cádiz), Spain.

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PhD position in Computational Neuroscience/Nonlinear Dynamics on synaptic plasticity - INRIA Sophia Antipolis France
by Romain Veltz July 10, 2017

July 10, 2017

A PhD scholarship in mathematical and computational neuroscience on The modelling of excitatory synapses in healty / pathological condition is available at INRIA Sophia Antipolis <https://www.inria.fr/centre/sophia/>, within the Team MathNeuro <https://team.inria.fr/mathneuro/> in collaboration with Dr Marie's team at the Institut de Pharmacologie Moléculaire et Cellulaire (IPMC, Sophia Antipolis). This 3 year funded PhD scholarship starts in September 2017 or January 2018. Candidate The ideal candidate should have a background in nonlinear dynamics, stochastic analysis and computational neuroscience. He/she should also have strong ability to program in Python / C / Matlab / Julia. French is not a requirement if fluent in English, but willingness to learn would be beneficial. Applications Send CV, transcripts and contact informations of two persons we could reach for recommendation to romain.veltz(a)inria.fr <mailto:romain.veltz@inria.fr> and marie(a)ipmc.cnrs.fr <mailto:marie@ipmc.cnrs.fr>. Supervisors Dr Romain Veltz (INRIA) Dr Helene Marie (IPMC) Project description Synaptic plasticity is one of the fundamental phenomena which shape neural networks. It is thought to be the basis of our memory and learning capabilities. Synaptic plasticity have been modelled recently [1,2,3] but at a phenomenological level. It is for example quite difficult to link these model internal variables to the synapse biophysics. Another issue is noise. Whereas in many models, noise is added as cherry on top, it is in fact internally generated given the small number of synaptic constituants [4]. The project will focus on the development of a stochastic model of the postsynaptic side of an excitatory synapse, in healthy / Alzheimer conditions, which describes the behaviour of the first biochemical molecules targeted upon arrival of Glutamate. More precisely, the project will first aim at modelling the early phase plasticity (LTP, LTD, STDP) in light of recent experimental data [5,6] with aim to take into account data provided by Dr Marie's lab concerning deficient synapses observed in Alzheimer’s disease like conditions. The project will involve a mix of high performance scientific computation, nonlinear dynamics, stochastic analysis, and an enthusiasm for learning about plasticity mechanisms in general. References Clopath, Claudia, Lars Büsing, Eleni Vasilaki, et Wulfram Gerstner. « Connectivity reflects coding: a model of voltage-based STDP with homeostasis ». Nature Neuroscience 13, nᵒ 3 (mars 2010): 344‑52. doi:10.1038/nn.2479. Graupner, Michael, et Nicolas Brunel. « Calcium-Based Plasticity Model Explains Sensitivity of Synaptic Changes to Spike Pattern, Rate, and Dendritic Location ». Proceedings of the National Academy of Sciences, 22 février 2012. doi:10.1073/pnas.1109359109. Costa, Rui Ponte, Robert C. Froemke, P. Jesper Sjöström, et Mark CW van Rossum. « Unified Pre- and Postsynaptic Long-Term Plasticity Enables Reliable and Flexible Learning ». ELife 4 (26 août 2015): e09457. doi:10.7554/eLife.09457. Ribrault, Claire, Ken Sekimoto, et Antoine Triller. « From the Stochasticity of Molecular Processes to the Variability of Synaptic Transmission ». Nature Reviews Neuroscience 12, nᵒ 7 (juillet 2011): 375‑87. doi:10.1038/nrn3025. Fujii, Hajime, Masatoshi Inoue, Hiroyuki Okuno, Yoshikazu Sano, Sayaka Takemoto-Kimura, Kazuo Kitamura, Masanobu Kano, et Haruhiko Bito. « Nonlinear Decoding and Asymmetric Representation of Neuronal Input Information by CaMKIIα and Calcineurin ». Cell Reports 3, nᵒ 4 (25 avril 2013): 978‑87. doi:10.1016/j.celrep.2013.03.033. Tigaret, Cezar M., Valeria Olivo, Josef H.L.P. Sadowski, Michael C. Ashby, et Jack R. Mellor. « Coordinated activation of distinct Ca2+ sources and metabotropic glutamate receptors encodes Hebbian synaptic plasticity ». Nature Communications 7 (13 janvier 2016): 10289. doi:10.1038/ncomms10289.

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[call for papers] Entropy: special issue on "Information Theory in Neuroscience"
by Eugenio Piasini July 10, 2017

July 10, 2017

(apologies for cross-posting) Dear all, The journal Entropy is currently running a Special Issue entitled "Information Theory in Neuroscience", that we believe could be of interest for the members of this list. As the ultimate information processing device, the brain naturally lends itself to be studied with information theory. Application of information theory to neuroscience has spurred the development of principled theories of brain function, has led to advances in the study of consciousness, and to the development of analytical techniques to crack the neural code, that is to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative test of hypotheses about how the brain encodes and transmits across areas the information used for specific functions. This Special Issue emphasizes contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience. Research work at the interface of neuroscience, Information Theory and other disciplines is also welcome. Deadline for manuscript submission: 1 December 2017 For more information: http://www.mdpi.com/journal/entropy/special_issues/neuro Eugenio Piasini and Stefano Panzeri, Italian Institute of Technology Guest Editors

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3 PhD/PostDoc positions in neuromorphic systems
by elisabetta chicca July 7, 2017

July 7, 2017

Dear colleagues, 2 PhD/PostDoc positions are available at the Neuromorphic Behaving Systems group (https://www.cit-ec.de/en/nbs) Faculty of Technology and Center of Excellence Cognitive Interaction Technology at Bielefeld University. You can find details here: http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/ Anzeigen/Wiss/wiss17164_englisch.pdf Another PostDoc position is available at the Cognitronics and Sensor Systems Group (http://www.ks.cit-ec.uni-bielefeld.de, same affiliation as above) for a project in collaboration with the Neuromorphic Behaving Systems group. Unfortunately the call is written in German (see link below), but you can contact me (chicca(a)cit-ec.uni-bielefeld.de) if you are interested in details. http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/ Anzeigen/Wiss/wiss17151.pdf The deadline for all positions is July 19. Best regards, Elisabetta Chicca -- Prof. Dr. Elisabetta Chicca CITEC - Bielefeld University Inspiration 1 33619 Bielefeld - Germany Email: chicca(a)cit-ec.uni-bielefeld.de Tel.: +49 521 106-12043 Fax : +49 521 106-12348

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tDCS workshop with Frank Padberg and Andre Brunoni
by Martijn Arns July 7, 2017

July 7, 2017

Dear colleagues, we are happy to announce a special 2-day tDCS workshop with Frank Padberg and Andre Brunoni to be held in Nijmegen, The Netherlands. This workshop is particularly suited to researcher, psychologists and psychiatrists interested in applying the technique of transcranial Direct Current Stimulation (tDCS), looking for a unique opportunity to learn and discuss its clinical application with highly regarded experts in the field. Professor Dr. Frank Padberg (Ludwig-Maximilians-University Munich) will offer expert insight into how tDCS can be applied in a range of psychiatrist disorders, followed by the state-of-the-art application of tDCS in Depression with Dr. Andre Brunoni (University of São Paulo, Ludwig-Maximilians-University Munich). Working closely with our guest presenters, participants wil gain an understanding of basic applications of tDCS to build up to advanced methods. Also see following link for more information and sign-up information: http://www.neurocaregroup.com/brunoni-padberg-tdcs-workshop-october-2017.ht… Kind regards, Martijn Arns, PhD Director / Researcher Research Institute Brainclinics Chief Scientific Officer neuroCare Group Twitter: @brainclinics / @neuroclinics Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31 24-7503505 GSM: +31 6-48177919 Fax: +31 24-8901447 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com/>

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Computational Neuroscience Job at the Krembil Research Institute
by Frances Skinner July 6, 2017

July 6, 2017

https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI… <https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI…> Job Posting #8045761 Position: Computational Neuroscience Research Scientist Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Director Status: Permanent Full-time The Krembil Research Institute at the University Health Network in Toronto Canada invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. The Krembil is one the principal research institutes of the University Health Network of academic teaching hospitals associated with the University of Toronto; the Krembil is also one of the largest research institutes in Canada focusing on human neurological disease from both a basic science and clinical research perspective. The University Health Network (UHN) is Canada's largest academic medical centre, comprising four major teaching hospitals. Qualified applicants must attach their letter of interest, research plan, resume PDF format to the online application and complete some initial screening questions. The search committee will begin to review applications in September with a potential start date in Winter 2018. Posted Date: June 22, 2017 Closing Date: Until filled UHN thanks all applicants, however, only those selected for an interview will be contacted. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.

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Summer school on Advanced Computational Neuroscience, Germany
by Alexander Schmidt July 6, 2017

July 6, 2017

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany “Neural circuit theories for primate cognition” September 02nd - 10th, 2017 *REGISTRATION **DEADLINE *Ju**ly**2**3**, 201**7**** %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Please, feel free to distribute this email to students and postdocs potentially interested in the school. The aCNS school within the Advanced Computational Neuroscience School in the Emotion-Cognition-Link-Series is a *9**-day intensive course* in *mathematical and computational neuroscience*. It offers an intensive pedagogy of advanced mathematical and computational tools to students working in computational neuroscience and already familiar with its interdisciplinary nature and is designed to qualify young researchers to push the frontiers of the field. The following researchers are in charge of the 4 two-day theoretical blocks and 4 evening lectures: * Nicolas Brunel <https://galton.uchicago.edu/%7Enbrunel/>, /University of Chicago/, Chicago, USA * Alexander Gail <https://www.uni-goettingen.de/en/57950.html>, /German Primate Center/, Göttingen, Germany * Raoul Memmesheimer <https://memmesheimer.net/>, /University of Bonn/, Bonn, Germany * John Beggs <http://www.indiana.edu/%7Eiubphys/faculty/jmbeggs.shtml>, /University of //Indiana/, Bloomington, USA * Julia Fischer <http://www.dpz.eu/en/unit/cognitive-ethology/about-us.html>, /German Primate Center/, Göttingen, Germany * Eckart Altenmüller <https://www.immm.hmtm-hannover.de/en/institute/people/eckart-altenmueller/>, /University for Music and Theater/, Hanover, Germany * Annekathrin Schacht <http://www.uni-goettingen.de/en/356202.html>, /University of Göttingen/, Göttingen, Germany * Georg Martius <https://is.tuebingen.mpg.de/person/gmartius>, /M//PI//for Intelligent Systems/, Tübingen, Germany 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 €. Course language is English. Housing is provided by the school. Travel grants can be applied for. *Only 15 participants will accepted. We invite applicants to apply by filling out the application form at:* *www.bccn-goettingen.de* <http://www.bccn-goettingen.de/events/cns-course> *and have their reference letters submitted by *July 23, 2017*.* Best regards and looking forward to seeing you in Göttingen, B. Feulner, D. Regel, A. Schmidt and J. Wilting (local committee, PhD students) on behalf of the course directors Prof. F. Wolf and Prof. A. Schacht

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New Book: The Rewiring Brain
by Arjen van Ooyen July 6, 2017

July 6, 2017

Dear colleagues, We would like to draw your attention to our recently published book: *The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain*, van Ooyen, A, and Butz-Ostendorf, M, eds, Academic Press, June 2017. For more information (preview) and to order the book, go to https://www.elsevier.com/books/the-rewiring-brain/van- ooyen/978-0-12-803784-3 Also see https://anvooyen.home.xs4all.nl/papers/TheRewiringBrain.html *Description* The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In *The Rewiring Brain*, the editors bring together, for the first time, contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. Structural plasticity adds a whole new dimension to brain plasticity, and *The Rewiring Brain* shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists. Key features: · Reviews the current state of knowledge of structural plasticity in the adult brain. · Gives a comprehensive overview of computational studies on structural plasticity · Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory · Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage *Book Contents* Editorial *Arjen van Ooyen and Markus Butz-Ostendorf* Section I. Experimental background 1. Structural plasticity and cortical connectivity *Vassilis Kehayas and Anthony Holtmaat* 2. Structural plasticity induced by adult neurogenesis *Gregory W. Kirschen, Kurt A. Sailor, and Shaoyu Ge* 3. Structural neural plasticity during stroke recovery *Kimberly Gerrow and Craig E. Brown* 4. Is lesion-induced synaptic rewiring driven by activity homeostasis? *Markus Butz-Ostendorf and Arjen van Ooyen* Section II. Homeostatic structural plasticity 5. Network formation through activity-dependent neurite outgrowth: a review of a simple model of homeostatic structural plasticity *Arjen van Ooyen* 6. Clustered arrangement of inhibitory neurons can lead to oscillatory dynamics in a model of activity-dependent structural plasticity *Rosanna C. Barnard, Istvan Z. Kiss, Simon F. Farmer, and Luc Berthouze* 7. A detailed model of homeostatic structural plasticity based on dendritic spine and axonal bouton dynamic *s**Markus Butz-Ostendorf and Arjen van Ooyen* 8. Critical periods emerge from homeostatic structural plasticity in a full-scale model of the developing cortical column *Sebastian Rinke, Mikael Naveau, Felix Wolf and Markus Butz-Ostendorf* 9. Lesion-induced dendritic remodeling as a new mechanism of homeostatic structural plasticity in the adult brain *Steffen Platschek, Hermann Cuntz, Thomas Deller, and Peter Jedlicka* Section III. Structural plasticity and connectivity 10. The role of structural plasticity in producing nonrandom neural connectivity *Paul Miller* 11. Structural plasticity and the generation of bidirectional connectivity *Daniel Miner, Felix Z. Hoffmann, Florence Kleberg, and Jochen Triesch* 12. Spike timing-dependent structural plasticity of multicontact synaptic connections *Moritz Deger* 13. Selection of synaptic connections by wiring plasticity for robust learning by synaptic weight plasticity *Naoki Hiratani and Tomoki Fukai* Section IV. Structural plasticity and learning and memory 14. Within a spine's reach *Will DeBello and Karen Zito* 15. Impact of structural plasticity on memory capacity *Panagiotis Bozelos and Panayiota Poirazi* 16. Long-term information storage by the interaction of synaptic and structural plasticity *Michael Fauth, Florentin Wörgötter, and Christian Tetzlaff* 17. Impact of structural plasticity on memory formation and decline *Andreas Knoblauch* Section V. Neurogenesis-related structural plasticity 18. Adult neurogenesis and synaptic rewiring in the hippocampal dentate gyrus *Arjen van Ooyen, Gertraud Teuchert-Noodt, Keren Grafen, and Markus Butz-Ostendorf* 19. Modifications in network structure and excitability may drive differential activity dependent integration of granule cells into dentate gyrus circuits during normal and pathological adult neurogenesis *Quinton Skilling, James Roach, Alison L. Althaus, Geoffrey G. Murphy, Leonard Sander, and Michal Zochowski* 20. Computational perspectives on adult neurogenesis *Kristofor D. Carlson, Fredrick Rothganger, and James B. Aimone* 21. Restricted boltzmann machine models of hippocampal coding and neurogenesis *Rory Finnegan, Mark Shaw, and Suzanna Becker* Section VI. Structural plasticity and pathology 22. Modeling the impact of lesions in the brain *Sol Lim, Frances Hutchings, and Marcus Kaiser* 23. Network models of epilepsy-related pathological structural and functional alterations in the dentate gyrus *Ivan Raikov, Mark Plitt, and Ivan Soltesz* 24. Computational models of stroke recovery *Vittorio Sanguineti* 25. Neural plasticity in human brain connectivity: the effects of deep brain stimulation *Tim J. van Hartevelt, Henrique M. Fernandes, Angus B. A. Stevner, Gustavo Deco, and Morten L. Kringelbach*

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CFP - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly July 5, 2017

July 5, 2017

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environments so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *01-September-2017* 2. Notification of acceptance: *15-September-2017* 3. Camera-ready version: *30-September-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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TECHNE AHRC Funded PhD Studentship: "Using Depth of Field to Guide Attention and Convey Narrative Structure"
by Durant, Szonya July 5, 2017

July 5, 2017

TECHNE AHRC Funded PhD Studentship: "Using Depth of Field to Guide Attention and Convey Narrative Structure" Royal Holloway, University of London - The Department of Psychology and the Department of Media Arts Qualification type: PhD Location: London, Egham Funding for: UK Students, EU Students Funding amount: £16,553 plus fees at Home/EU rate. Closes: 1st August 2017 Supervisors: Dr Szonya Durant (Dept. of Psychology) and Mr Adam Ganz (Dept. of Media Arts). Applications are invited for a National Productivity Investment Fund PhD studentship funded by the Arts and Humanities Research Council starting in October 2017. The studentship includes a stipend of £16,553 (plus fees at home/EU rates) for three years. There is an additional NPIF £550 per year to facilitate engagement with the Partner, and students can apply for an additional six months stipend to engage in extended development activities such as work placements. As a TECHNE student, the person selected will have full access to the TECHNE Doctoral Training Partnership development activities and networking opportunities, joining a cohort of about 50 students per year from across seven universities in London and the south-east. See www.techne.ac.uk<http://www.techne.ac.uk/>. TECHNE students can apply for additional funding to support individual or group training and development activities. This interdisciplinary PhD project draws on the fields of sensory neuroscience, in particular, the experimental study of eye movements and film and media studies, and in particular the study of visual perception, narrative comprehension, and affective response in relation to film editing. The novelty of the proposed interdisciplinary approach promises to yield original insights that will expand the knowledge and understanding in both disciplines. It expands the new discipline of psychocinematics by looking at how audiences perceive (and thus how filmmakers can use) a new element of film grammar - the ability to vary depth of field within in a shot which has been developed by our industrial partner Cinefade. The primary PhD supervisor is based in the Department of Psychology, which has an active and expanding postgraduate research community, is well-equipped for research. It was ranked 6th out of 82 UK Psychology Departments in the 2014 Research Excellence Framework (REF), with 93% of our research classified as world-leading or internationally excellent. Research in the department spans a breadth of topics across psychological sciences and neuroscience and is supported by excellent facilities - further information on the research environment can be found here<https://www.royalholloway.ac.uk/psychology/home.aspx>. The second supervisor is based in the Media Arts Department, a top 10 REF department led by award-winning world-class experts and leading industry practitioners, which provides a professional working environment for the development of media practice skills and creativity. Both departments are situated on our beautiful Egham campus close to London. Applicants should ideally hold, or be predicted to achieve, a first class undergraduate degree or equivalent in Psychology, Media Arts, or related disciplines (minimum requirement: 2.1). An MSc in a psychology- or cinematography-related subject is desirable but not essential. The ideal candidate will have strong skills in experimental design and statistical analysis, and some experience of lens-based media, film editing, computer programming, and eye tracking would be advantageous. The project will involve a 6 months placement working with CineFade Ltd which will involve trips to various UK locations to meetings with their clients. Applicants must meet the RCUK residency requirements as described in paragraphs 43-46 of the 'Conditions of Research Council Training Grants<http://www.rcuk.ac.uk/documents/documents/termsconditionstraininggrants-pdf/>' and comply with conditions set out in the AHRC Training Grant Funding Guide<http://www.ahrc.ac.uk/skills/phdstudents/currentawardholders/>. Informal enquiries about the project should be directed to szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk> or adam.ganz(a)rhul.ac.uk<mailto:adam.ganz@rhul.ac.uk>. Full details on how to make an application are shown on our Departmental Website<https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate…> (select "tab 2 - Research Council UK Funded Studentships") and in the College Webpages<https://www.royalholloway.ac.uk/studyhere/researchdegrees/applying/applicat…>. For further details on the application process please contact Sharon Clutterbuck (psyoffice(a)rhul.ac.uk<mailto:psyoffice@rhul.ac.uk>). Closing date: 5pm on Tuesday 1st August 2017. Interview dates: 7-18 August (can be flexible around existing commitments). Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Bernstein Conference 2017 in Göttingen - early room booking strongly recommended !
by Kerstin Schwarzwaelder July 4, 2017

July 4, 2017

Dear colleagues, Please let me remind you that the number of available accommodation for the Bernstein Conference 2017 in Göttingen is very limited due to several concurrent events. Thus, we strongly recommend early room booking! Many Hotels in Göttingen are already booked out for that week! The local organizers of the Bernstein Conference arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at the Accommodations Website (www.nncn.de/de/bernstein-conference/2017/venue/accommodation<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). Many expiration dates were already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at the Accommodations Website of the Bernstein Conference. Dates of the Bernstein Conference 2017: ************************************************************** Satellite Workshops September 12-13, 2017 Main Conference September 13-15, 2017 PhD Symposium September 12 & 15, 2017 ************************************************************** Venue of the Bernstein Conference 2017: ************************************************************** The Central Lecture Hall (Zentrales Hörsaal Gebäude, ZHG) Platz der Göttinger Sieben 5 37073 Göttingen, Germany ************************************************************** Website of the Bernstein Conference 2017: ************************************************************** www.bernstein-conference.de<http://www.bernstein-conference.de> ************************************************************** Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Research positions in Neuromorphic computing in Singapore
by Yansong Chua July 4, 2017

July 4, 2017

Multiple scientist and engineer positions are open for a 4-year neuromorphic program in Singapore, at the Institute for Infocomm Research (I2R), A*STAR. The program is a multi-disciplinary effort, that straddles across the hardware (neuromorphic chip with RRAM, on-chip learning), middleware (emulator) and software (learning algorithms), and we aim to develop a demonstrating application system at end of the program. The program hence presents an unique research opportunity for candidates hoping to build a complete neuromorphic learning system. We are now in the early stages of the program and are actively recruiting talented scientists who would be excited to work on any aspects of the program (hardware, middleware, software and system integration). Multiple top-ranked universities and research institutes in Singapore (NUS, NTU, IME, IHPC, I2R) are working on the program. The work package I am in-charge of is primarily involved in the design of better algorithms for spiking neural networks. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal encoding: how to better encode external stimuli into spike based representations to facilitate decoding with high fidelity and also better learning performance (in terms of accuracy and power efficiency). - Supervised learning: given that spiking neural networks are asynchronous and sparse in their activities, the design of supervised learning algorithms that can fully capitalize on these properties becomes critical. - Mapping of state-of-art deep learning networks to spiking networks. Neuromorphic learning algorithms are still solving fairly simple problems compared to deep learning. For this, we would like to systematically borrow from the deep learning community networks and learning algorithms that can quickly boost the capabilities of spiking neural networks. - Unsupervised learning. STDP is well suited for unsupervised learning in spiking neural networks, and we would like to further advance STDP learning in spiking neural networks (both theory and applications). Preference will be given to candidates who can document knowledge in deep learning, spiking neural networks or signal processing (with interest in spiking neural networks). Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointment will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg ).

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Computer scientist or Scientific programmer in the Department of Neural Systems and Coding
by Friedrich Kretschmer July 3, 2017

July 3, 2017

Computer scientist or Scientific programmer The Max Planck Institute for Brain Research <https://www.mpg.de/151405/hirnforschung?section=all> in Frankfurt am Main, Germany, is an innovative and growing research facility of the Max Planck Society for the Advancement of Science. The Department of Neural Systems and Coding <https://brain.mpg.de/research/laurent-department.html> (Prof. Dr. Dr. Gilles Laurent) is part of the interdisciplinary neuroscience campus in Frankfurt/Riedberg where the new MPI building is located. Research in the Department aims to understand the physiology of perception with an experimental focus centered on neural computation, neuronal coding and integration. To support our international team of biologists, computer scientists and physicists, we invite applications for a full time staff position as Computer scientist or Scientific programmer, starting as soon as possible, initially with a fixed-term contract for two years. Your profile & our requirements We seek a self-driven and interactive individual with the following skill set: * advanced programming skills and strong understanding of OOP concepts * strong experience working with MATLAB or Python. * proficient understanding of code versioning tools * practical knowledge of best coding practices * experience with management, storage and access of large datasets * cross platform development for Windows, Mac OS X and Linux platforms. Applicants should be familiar with a scientific environment. Knowledge of computational neuroscience and practice in other programming languages (C, C++, R), as well as computer vision, image processing, object recognition, automatic processing and control of behavioral experiments would be of advantage. Candidates are expected to hold a degree in a quantitative field involving computational work, such as computer science, physics, applied math, electrical engineering or comparable research experience. Graduate work at Masters or PhD level (science exposure) is a plus. Our offer We offer a competitive salary based on the collective wage agreement for government service wWorkers (TVöD Bund) depending on qualifications and professional experience as well as various fringe benefits in accordance with public service provisions. You can expect an interesting, responsible and varied job in a young, international and interdisciplinary team. Your application The Max Planck Society is an equal opportunity employer and is striving to increase the proportion of women in areas where they are under-represented. It therefore expressly encourages female applicants. The Max Planck Society is striving to employ more individuals with disabilities. It therefore expressly encourages applicants with disabilities. Please submit your application (in English, single PDF file) by email (HR(a)brain.mpg.de <mailto:HR@brain.mpg.de>) until *July 31, 2017* to Max Planck Institute for Brain Research -Human Resources- Max-von-Laue-Str. 4 60438 Frankfurt am Main Germany

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Neuroinformatics 2017 in Kuala Lumpur!
by congress July 3, 2017

July 3, 2017

Dear all, It is high time to register for Neuroinformatics 2017, August 20-21, in Kuala Lumpur! See full program and speakers here: *http://neuroinformatics2017.org/program/* <http://neuroinformatics2017.org/program/> *Register by July 15th to get early bird registration rates: * *http://neuroinformatics2017.org/register/ <http://neuroinformatics2017.org/register/>* The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> Please spread this information to anyone you feel might be interested in attending! *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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PhD position in Theoretical Neuroscience/Nonlinear Dynamics - Ile De France (Paris)
by A. Torcini July 2, 2017

July 2, 2017

More details here: https://www.dropbox.com/s/nowtt4cb3d69xfi/project_phd.pdf?dl=0 Title of the PhD project: Exact Reduction of Multiscale Neural Dynamics Goal: PhD grant without teaching duties, 3 years, fully funded, 1400 euros/month (with teaching duties in french the salary can increase to 1600 euros/month) When: starting from 1st October 2017 Keywords: Dynamics of neural networks; Mean field analysis; Microscopic and Macroscopic statistical analysis; Linear and nonlinear instabilities; Lyapunov exponents Where: The candidate will be based at the Universite' de Cergy-Pontoise, Laboratoire de Physique Théorique et Modélisation in Cergy-Pontoise, Ile de France (France) under the supervision of Prof Alessandro Torcini and with the co-supervision of Dr. E. Montbrió at the Center for Brain and Cognition, Pompeu Fabra University (Barcelona, Spain). Required titles/skills: - Master Title (M2) in Theoretical Physics or in Appled Mathematics or in related subjects - Strong knowlegde of statistical mechanics, nonlinear dynamics, applied mathematics - Strong ability to program in Fortran or in C language - Knowledge in computational neuroscience - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Programming with Matlab and/or Python - French is not a requirement if fluent in English, but willingness to learn would be beneficial How to apply and more details can be downloaded here: https://www.dropbox.com/s/nowtt4cb3d69xfi/project_phd.pdf?dl=0 Funding: The project is funded by the Initiative of Excellence Paris Seine, within the programme of the French Government "Investissemensts d'Avenir "

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