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Open position: clinical data manager, Marseille
by Irene Yujnovsky Sept. 14, 2017

Sept. 14, 2017

> > Clinical data manager for national consortium on epilepsy surgery - Aix-Marseille Université > Marseille, FRANCE > > > A position for an experienced clinical data manager is open to create and maintain an epileptic patient database including registration, normalization and security issues and to ensure the communication with the key partners in the academic, clinical and industry sectors with the aim of generating individual Virtual Patient models using The Virtual Brain (TVB) platform as framework (see http://www.thevirtualbrain.org) This database will be generated in the context of the EPINOV (Improving EPilepsy surgery management and progNOsis using Virtual brain technology) project led by Professor Fabrice Bartolomei (http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) funded by the RHU programme. > > Qualification > > Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a degree in biomedical engineering, medical informatics or equivalent level of knowledge. Candidates must possess a solid experience in management of clinical and/or research data and programming (C, MATLAB, Python). Experience with neuroimaging data (stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, neuroinformatics and its standard formats (for instance DICOM, XNAT, BIDS), machine learning and Big Data would be considered an advantage. > > The EPINOV project and consortium > We are a national consortium composed of clinicians, researchers and industrial partners interested in improving epilepsy surgical prognosis using large–scale brain modelling based on individual epileptic patient data. A prospective, randomized multicenter trial will be conducted with subjects suffering from drug-resistant epilepsy. The clinical trial will systematically evaluate the added value of personalized brain modelling in the surgical decision making. > > Terms of salary and employment > Salary will depend on the diploma and previous experience. Operating languages in the consortium are both French and English. > > Applications including a cover letter, curriculum vitae and the names of two referees should be sent by October 31st 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr > > --

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[jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT)
by Alessandro D'Ausilio Sept. 14, 2017

Sept. 14, 2017

The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-br… Deadline: September 25th

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SCiNDU abstract deadline Oct 1st
by Geoffrey Goodhill Sept. 14, 2017

Sept. 14, 2017

A reminder that the SCiNDU abstract deadline is October 1st: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are due by Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden
by Arvind Kumar Sept. 13, 2017

Sept. 13, 2017

*Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden* We invite applications for a joint PhD position in the groups of Dr. Arvind Kumar (KTH Royal Institute of Technology, Stockholm, Sweden) and Dr. Dinos Meletis (Karolinska Institute, Stockholm, Sweden) to study the dynamics of neuronal ensembles in mouse striatum. *Brief** description of the project* Striatum is the main input of the basal ganglia and plays an important role in a diversity of cognitive and motor functions. The goal of the project is to understand how the population activity of striatal neurons encodes external stimulus and behavioral states of the animal. To this end the student will record, analyse and model the striatal activity in different conditions. *Qualifications* We are looking for a student with a MSc (or equivalent) degree in Physics or Engineering and a strong background in data analysis and/or analysis and modeling of physical systems. Previous knowledge of neuroscience would be useful but not necessary. *Appointment* This will be a joint position at KTH and KI Stockholm, Sweden. The employment as a Phd student is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 5 years with 80% PhD studies and 20% department service including teaching) of Sweden. *About the research groups* The PhD student will work under the supervision of Dr. Arvind Kumar and Dr. Dinos Meletis. *Dr. Kumar's* research group is based at the *KTH Royal Institute of Technology, Stockholm. *He uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. His lab is developing mathematical models of brain diseases to create a theoretical framework to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in diseases (e.g. Parkinson's diseases, epilepsy, anxiety). Relevant to the project, in last few years they have developed computational models of the striatum and basal ganglia to understand the role of input correlation, emergence of neuronal assemblies and oscillations. More information about Kumar lab *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* *Dr. Meletis'* lab is based at the *Karolinska Institute, Stockholm*. The lab studies neural circuits that are responsible for generating motivated behaviors, for example the basal ganglia and the serotonin system, and how dysfunction in the activity of neuron subtypes can lead to reward disorders. The lab has established experimental methods to perform large-scale in vivo imaging of the activity of neuron subtypes during behavior in freely moving mice and methods to precisely perturb the activity of genetically defined neurons (optogenetics). Relevant to the project, the lab is investigating the distinct role of striatal neuron subtypes in learning and representing reward and punishments, with the aim to develop an understanding of the neural and ensemble computations that underlie behavior. More information about Meletis lab http://meletislab.org/ *Application* The application should include the following documents: 1. CV including your relevant professional experience and knowledge. 2. Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages. 3. Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long. 4. Weblink of representative publications or technical reports 5. Contact information for two reference persons. We reserve us the right to contact references only for shortlisted candidates. Send the above info as a single zip file to Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *Application deadline: 30 Sept. 2017* *For more info. contact* Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* Dr. Dinos Meletis: *Dinos.Meletis(a)ki.se <Dinos.Meletis(a)ki.se>* *http://meletislab.org/ <http://meletislab.org/>* -- Dr. Arvind Kumar Computational Biology, School of Computer Science and Communication KTH, Royal Institute of Technology, Stockholm, Sweden. Adjunct Faculty at: Bernstein Center Freiburg, Neurobiology and Biophysics, Faculty of Biology University of Freiburg, Germany http://www.bcf.uni-freiburg.de/people/details/kumar cancer blog: http://theoryofcancer.blogspot.com cricket blog: http://rightarmoverfast.blogspot.com

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Open post-doctoral position in Theoretical Neuroscience - INS, Marseille, France
by Irene Yujnovsky Sept. 13, 2017

Sept. 13, 2017

Post-doctoral position in the Theoretical Neuroscience Group - INS, Marseille, France *Summary* The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project EPINOV to work on statistical & dynamical modeling of seizure propagation using personalized brain modeling and neuroinformatics approaches on a cohort of hundreds of epilepsy patients. EPINOV is one of 10 large-scale projects selected in the 3rd round of French scientific excellence program «RHU» managed by the National Research Agency (ANR). The aim of the EPINOV project is to significantly improve presurgical interpretation, guide surgical strategies and translate computational tools into clinical routine of personalized medicine. We use individual MRI scans to reconstruct brain anatomy and connectivity, which are combined with a neural mass model and fit using the Bayesian modeling software Stan to individuals’ intracranial electrophysiology data (stereotactic EEG), validated by clinical data from other modalities, such as MEG, fMRI, and semiology. *Responsibilities* • Scale up statistical models “vertically” to handle more data and higher resolution anatomy, using model comparison techniques to evaluate the advantage of different model structures • Scale out models “horizontally”, performing coherent, reliable inference across a large cohort of patients using dedicated, on-site HPC resources • Develop routines to evaluate and visualize inference results, making them amenable to clinical interpretation • Integrate developed code into existing code bases and pipelines *Qualification*** • Highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. • PhD degree in computational neuroscience, mathematical or statistical modeling, machine learning or equivalent level of knowledge. • Significant, demonstrable experience in data fitting (Bayesian modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be highly appreciated. • Experience with working in a Linux/HPC environment • Programming in a numerically oriented language (R, Python, MATLAB) • Familiarity with Git, unit testing, Docker/VMs is a plus *The Theoretical Neuroscience group*** We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment*** A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr <mailto:irene.yujnovsky@univ-amu.fr> More information about the INS and the Theoretical Neurosciences Group can be found at: http://ins.univ-amu.fr <http://ins.univ-amu.fr/> --

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Sept. 12, 2017

Sept. 12, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 – 19, 2018 in Sanur – Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Valeri Mladenov, Technical University of Sofia, Bulgaria Petia Koprinkova-Hristova, Bulgarian Academy of Sciences, Bulgaria Petia Georgieva, University of Aveiro, Portugal Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoc Position in ENIMGA-Sleep Working Group
by Masoud Tahmasian Sept. 12, 2017

Sept. 12, 2017

Postdoc Position in ENIMGA-Sleep Working Group ENIGMA-Sleep Working Group has an opening for a post-doctoral position to study brain structure and function in insomnia. The post is based at the Institute of Medical Science and Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The Institute has a Sleep Laboratory with wireless polysomnography equipment, access to a 3T MRI scan, High resolution EEG, TMS with Neuronavigation system, Psychophysics labs as well as clinical studies facilities. Title of project: Structural and functional maladaptation in insomnia disorder Supervisior: Dr. Masoud Tahmasian MD PhD, Prof. Mojtaba Zarei MD PhD FRCP(UK) The ENIGMA consortium brings together many researchers to understand brain structure, function, and pathophysiology of disease, based on neuroimaging and genetic data. ENIGMA members are multi-disciplinary scientists from all over the world with research projects on neuroscience, clinical psychiatry, and genetics. The ENIGMA-Sleep Group is a recently launched group lead by Dr. Masoud Tahmasian and Prof. Mojtaba Zarei from the Institute of Medical Science & Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The collaborating teams from across the globe endeavor to join knowledge, experience and vision to address important questions in sleep physiology and its disorders using cutting edge brain imaging techniques and relating them with clinical and laboratory investigations. IMSAT was approved by the Ministry of Science, Research and Technology, and established in 2016. It is one of the fastest growing multidisciplinary research Institute in Iran with well-trained and experienced faculty members from science, engineering and medicine. Our fields of expertise include medical imaging, image processing, clinical trials, wearable technologies, brain stimulation engineering, auditory technology, control engineering, and biomedical technology. There is a wide range of facilities for research at IMSAT including, but not limited to, MRI, EEG, Polysomnography, and actigraphy. There is also a dedicated high performance server for various data analysis. Eligibility: Applicants must have a PhD degree in medical science, neuroscience or engineering with a minimum of one-year research experience in an overseas University. The funding is only available to Iranian nationals. Duration: One year, with possibility to extend for the second year upon successful progression Salary: The successful applicant will be hired by the University with funding support already secured at the rank of assistant professor. Interested individuals should send their CV to m_tahmasian(a)sbu.ac.ir

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NEURON course at SFN 2017 meeting
by Ted Carnevale Sept. 11, 2017

Sept. 11, 2017

Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience. If you're a lab director trying to decide whether to add computational modeling to your research program, a grad student or postdoc who is just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are, this one-day course is for you! It starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include how to speed up simulations, using Python with NEURON, and modeling reactive diffusion with the RxD class. For more information and the registration form, see https://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html --Ted

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Lecturer in Computer Science (Biological computation - including computational neuroscience)
by Peter Andras Sept. 11, 2017

Sept. 11, 2017

Lecturer in Computer Science Keele University - School of Computing and Mathematics Salary: £33,943 to £39,324 p.a. Grade 7a Hours: Full Time Contract Type: Permanent Closes: 20th September 2017 Job Ref: KU00000544 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £134 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of staff in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from dynamic and enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science (e.g. software engineering, security, human-computer interaction, biological computation, machine learning, formal methods, distributed systems but not restricted to these particular fields), and who have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The lectureship post is part of continued growth and expansion of computer science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. Candidates will be expected to develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data or ageing research. Details of the research carried out in Computer Science at Keele can be found at: <http://www.keele.ac.uk/scm/research/compsci/> http://www.keele.ac.uk/scm/research/compsci/ The successful candidate will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. For full post details and online application form please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Or follow the link: people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3 d061051EnUQ <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d061051EnUQ&WVID=0493472Nsk&LANG=USA> &WVID=0493472Nsk&LANG=USA Interviews will be held on: 18th October 2017 --- Professor Peter Andras Professor of Computer Science and Informatics Director of Postgraduate Research, Faculty of Natural Sciences Head of Computing Division, School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

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Energy Efficient Neural Code in Individual Neurons and Brain Circuits
by Yu, Yuguo Sept. 11, 2017

Sept. 11, 2017

In collaboration with Frontiers in Neuroscience, section Neuroenergetics, Nutrition and Brain Health, we are organizing a Research Topic titled "Energy Efficient Neural Code in Individual Neurons and Brain Circuits", hosted by Yuguo Yu, Satish Iyengar. As host editor, I would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear. https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Neu… Please note the submission deadline for this Research Topic: Oct 28, 2017 With your agreement to take part, I would request you submit an abstract in advance of any manuscript submission you choose to make (deadline identified at the homepage above). As I am using the Frontiers system to manage this topic, please first indicate your decision to participate by clicking on one of the following links. AGREE to Participate https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Acc… DECLINE to Participate https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Dec… Let me know if you have any questions about my Research Topic. I look forward to hearing from you soon. With best regards, Yuguo Yu Guest Associate Editor, Neuroenergetics, Nutrition and Brain Health www.frontiersin.org<http://www.frontiersin.org/> Frontiers | Peer Reviewed Articles - Open Access Journals<http://www.frontiersin.org/> www.frontiersin.org Open-access publisher of peer-reviewed scientific articles across the entire spectrum of academia. Research network for academics to stay up-to-date with the latest ... ABOUT FRONTIERS RESEARCH TOPICS Founded by scientists in 2007, Frontiers is a community-rooted open-access publisher, driving innovations in peer review, article-level metrics and research networking. The "Frontiers in" journal series hosts 54 journals covering more than 350 academic specialties, with a network of over 200,000 leading researchers worldwide. Frontiers is a registered member of the Open Access Scholarly Publishers Association (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.oaspa.org_member_Fr… ) and was recognized by the ALPSP Award for Innovation in Publishing in 2014. The idea behind a Frontiers Research Topic is to create a comprehensive collection of peer-reviewed articles that address a specific theme of research, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, and more. Please see the relevant journal for a full list of accepted article types. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used as educational material, be sent to foundations that fund your research, to journalists and press agencies, or to your professional network. E-books are free to read and download. Once published, your articles will be free to access for all readers, indexed in relevant repositories, and as an author in Frontiers, you retain the copyright to your own papers and figures. FRONTIERS PUBLISHING FEES Manuscripts accepted for publication are subject to publishing fees, which vary depending on the article type. Research Topic A type articles receive a discount on publishing fees; please see here for a full fee table, and further relevant FAQs: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_abo… .=

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Software Development Engineer position on Brain Computer Interfaces at Inria, France
by Maureen Clerc Sept. 8, 2017

Sept. 8, 2017

Dear colleagues, Please take note and circulate the following job offer. With apologies for multiple postings. Maureen Clerc ------------------------------------------------------------------------------------------------------------------------------ S oftware Development Engineer position available at Inria Sophia Antipolis, France Summary Inria Sophia Antipolis is seeking to a fill software development engineer position to work on Brain-Computer Interfaces (BCI). The P300-speller BCI application developed at Inria Sophia Antipolis allows severely disabled patients to communicate using brain activity, measured through electroencephalography (EEG). It has shown excellent performance when tested extensively with 20 patients at Nice CHU. However it still requires some improvements to meet patients' expectations. This project, funded by patient associations, aims to bring BCI out of the lab, and deploy it to its end-users. Responsibilities • Analyze existing software. • Reduce dependencies on third-party libraries. • Automatize installation and calibration. • Study portability onto tablet. • Make application adaptable to users' needs. Qualification • Highly motivated to work on a translational project in Brain Computer Interfaces. • Masters degree in computer science or equivalent degree of knowledge. • Significant, demonstrable experience (at least four years) in C/C++ programming. • Experience with working in a Linux environment. • Familiarity with version management (Git, mercurial), compilers and compiling systems (cmake). • Familiarity with EEG and BCI would be appreciated. • Knowledge of graphical interfaces and visualization (OpenGL, Qt, Gtk) would be appreciated. Work environment Inria is a research institute dedicated to numerical sciences. In Sophia Antipolis (20 km from Nice), the Athena team develops methodology for non-invasive imaging of the Central Nervous System. In particular, it hosts a full-fledged Electroencephalography laboratory and investigates Brain-Computer Interfaces, in the context of the Inria Project-Lab bci-lift. Software development is organized within a development team including other software engineers and researchers, following agile development principles. Terms of salary and employment A 15-month renewable contract will be established. Salary will depend on diploma and experience. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Maureen Clerc at maureen.clerc(a)inria.fr More information about Inria and the Athena team can be found at: https://team.inria.fr/athena/

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Postdoctoral position in Camouflage Pattern Design and Eye-Tracking Experimentation
by Leslie Osborne Sept. 7, 2017

Sept. 7, 2017

Postdoctoral position in Camouflage Pattern Design and Eye-Tracking Experimentation Marine Biological Laboratory, Woods Hole, MA 02543, USA Type: RESEARCH Position: FULL-TIME POST-DOCTORAL SCHOLAR Description: A position for a postdoctoral fellow in computational vision in biological systems is available to study visual camouflage in the Hanlon Lab at MBL, in collaboration with groups at UC Irvine (C. Chubb) and NTHU (C.C. Chiao) and the University of Chicago (S. Palmer and L. Osborne). The goal of the 3-year study is to develop a generative model of successful camouflage patterning and edge design, both at rest and in motion. Camouflage patterns will be inspired by natural animal behaviors, particularly in cephalopods - octopus, cuttlefish, squid – marine fishes, and insects. The postdoc will be involved in the statistical analysis of natural images and artists’ camouflage designs. Our approach is to use gaze tracking during visual search to define metrics of camouflage success and, complementarily, to measure the statistics of image features that draw human gaze. Visual stimuli for search tasks will be taken from natural image and video databases in the Hanlon and Palmer laboratories and artworks created by students at the Rhode Island School of Design. Human gaze tracking data will be collected and analyzed in the Osborne laboratory. The fellow may participate in data collection from live animals and human subjects, but the primary focus will be image and gaze data analysis. Education and Experience: The ideal candidate will have a background in computational analysis or computer vision, and a Ph.D. in computational biology (e.g. neuroscience, cognitive science, animal behavior), physics, computer science, or a related field. Programming experience in MATLAB is highly desirable. Experience in image and video analysis, and programming experience in Python or C, are also desirable. Previous experience in visual psychophysics is not required, but would be helpful. Environment: The Hanlon Laboratory is part of the Eugene Bell Center at the Marine Biology Laboratory. Founded in Woods Hole, Massachusetts in 1888, the MBL is a private, nonprofit institution and an affiliate of the University of Chicago. Utilizing unique and highly tractable marine and aquatic model organisms, high throughput and comparative genetic approaches, novel imaging technologies and the latest advances in data-intensive computational analysis, scientists in the Bell Center, in collaboration with colleagues at the University of Chicago and the Argonne National Laboratory, are providing answers to some of the most fundamental and intriguing questions in biology. The candidate will interact closely with: (i) the team at MBL (the PI and lab personnel); (ii) faculty collaborators at University of Chicago and UC Irvine; (iii) the summer neurobiology and imaging community at MBL; and (iv) art students and faculty at the Rhode Island School of Design. Duration: This position is for 2.5 years. Desired start date is 1 November 2017 or as soon thereafter as feasible. Web link to MBL job listing: https://mbl.simplehire.com/postings/search <https://mbl.simplehire.com/postings/search> Questions: Send inquiries to Roger Hanlon rhanlon(a)mbl.edu <mailto:rhanlon@mbl.edu> Stephanie Palmer sepalmer(a)uchicago.edu <mailto:sepalmer@uchicago.edu> Leslie Osborne osborne(a)uchicago.edu <mailto:osborne@uchicago.edu> Application: The application comprises a cover letter, CV, a 1-2 page description of past research experience, the contact information for 3 references. Follow links at https://mbl.simplehire.com/postings/search <https://mbl.simplehire.com/postings/search> to upload application materials. EEO Statement: MBL supports individuals in reaching their full potential by offering equal employment opportunities and an environment that actively values diversity. MBL complies with all applicable laws concerning hiring and employment practices and is firmly committed to maintaining a workplace free from discrimination by age, ancestry, color, disability, gender, genetic predisposition, national origin, military status, race, religion, or sexual orientation. MBL requires all newly-hired staff to undergo a background check. Background checks are conducted after a conditional offer of employment has been accepted by the applicant. Leslie C. Osborne, Ph.D. Department of Neurobiology Department of Organismal Biology and Anatomy The University of Chicago 947 East 58th St. P415 Chicago IL 60637 osborne(a)uchicago.edu +1 773-834-7989

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Postdoc Position Available - Human Intracranial Electrophysiology
by Woolnough, Oscar Sept. 7, 2017

Sept. 7, 2017

Postdoctoral Research Positions Available One postdoctoral research position is available at the NeuroImaging and Electrophysiology Lab (www.tandonlab.org) in the Department of Neurosurgery at the University of Texas Medical School in Houston. This position is funded by a recently awarded BRAIN Initiative U01 grant for which Dr. Tandon is the PI. The project uses electrocorticographic (ECoG) recordings on a large cohort (n=80) to evaluate psycho-linguistic models of reading and speech production with the goal being to create network level representation of language. Collaborators on the project with whom the post-doc will work closely are Nathan Crone (Hopkins), Greg Hickok (UCI), Stanislas Dehaene (College de France), Xaq Pitkow (Baylor) and Josh Breier (UT Houston). Project Description: This is a close multi center collaboration that brings together investigators with established track records in intracranial EEG (iEEG) recordings, neuroscience of language and computational neuroscience to better understand the uniquely human behavior of reading and producing language. More details about the U01 grant are online at NIH Reporter. The post-doc will benefit from a close interaction with several experts in the fields of reading, semantics, and speech production. Post-doc Responsibilities: The selected individual is expected to be a highly motivated, team player that has the passion to study cognitive processes using direct recordings in humans. He or she will be responsible for 1) optimizing and refining paradigms for use in the project, 2) data collection in the epilepsy monitoring unit and in the MRI scanner, 3) ECoG data analysis using analysis pipelines existent in the lab and via the development of innovative strategies, and 4) data presentation at conferences, manuscript and grant writing. Requirements: The selected individual must have a Ph.D. in one or more of the following - neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis or functional imaging studies of reading or speech production is highly desirable. Crucial is the ability to independently code in either or all of the following – MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professionalism standards, be able to adapt to a changing environment, reorganize schedules dynamically, and work with tight deadlines. The individual must possess the ability to work effectively independently, yet collaborate effectively on projects with multiple investigators. A strong publication record and excellent prior academic credentials are highly desirable. If you are interested, you can email us at nitin.tandon(a)uth.tmc.edu or call us at (713) 500-5475.

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[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems, 14(1), 2017
by Pierre-Yves Oudeyer Sept. 7, 2017

Sept. 7, 2017

Dear colleagues, I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence and neuroscience. It is available at: http://goo.gl/dyrg6s Featuring dialog: === "Exploring Robotic Minds by Predictive Coding Principle" == Dialog initiated by Jun Tani with responses from: Andy Clark, Doug Blank, James Marshall, Lisa Meeden, Stephane Doncieux, Giovanni Pezzulo, Martin Butz, Ezgi Kayhan, Johan Kwisthout and Karl Friston == Topic: The idea that the brain is pro-actively making predictions of the future at multiple levels of hierarchy has become a central topic to explain human intelligence and to design general artificial intelligence systems. This dialog discusses whether hierarchical predictive coding enables a paradigm shift in development robotics and AI. In particular, the dialog reviews the importance of various complementary mechanisms to predictive coding, which happen to be right now very actively researched in artificial intelligence: intrinsic motivation and curiosity, multi-goal learning, developmental stages (also called curriculum learning in machine learning), and the role of self-organization. They also underline several major challenges that need to be addressed for general artificial intelligence in autonomous robots, and that current research in deep learning fails to address: 1) the problem of the poverty of stimulus: autonomous robots, like humans, have access to only little data as they have to collect it themselves with severe time and space constraints; 2) the problem of information sampling: which experiments/observations to make to improve one’s world model. Finally, they also discuss the issue of how these mechanisms arise in infants and participate to their development. Call for new dialog: === "One Developmental Cognitive Architecture to Rule Them All?" == Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk, Johan Kwisthout == This new dialog asks whether and how it would be useful both epistemologically and in practice to aim towards the development of a “standard integrated cognitive architecture”, akin to “standard models” in physics. In par- ticular, they ask this question in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves. Those of you interested in reacting to this dialog initiation are welcome to sub- mit a response by November 30th, 2017. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let me remind you that all issues of the newsletter are all open-access and available at: http://icdl-epirob.org/cdsnl I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Chair of the IEEE CIS AMD Technical Committee on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau Assistant Editor Inria Mnemosyne team http://fabien.benureau.com

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workshop on high performance computing in neuroscience
by Ted Carnevale Sept. 5, 2017

Sept. 5, 2017

This year the workshop on the Neuroscience Gateway Portal (NSG) will be held on Saturday, Nov. 11, from 9 AM to noon in downtown Washington DC near the convention center, as a satellite to the Society for Neuroscience meeting. This workshop will show you how to use this NSF-supported resource in your computationally- intensive modeling and data analysis projects. It will also feature presentations from neuroscientists on how they are using high performance computing (HPC) resources in their own research. The NSG has a simple, convenient browser-based interface for running simulations and data analysis tasks on HPC hardware, and provides free CPU time. It also has a RESTful interface for programmatic access. Currently installed software 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 register soon because space is limited. See http://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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workshop announcement - Experimental and Theoretical Analysis of Cortical Dynamics - Rovereto Italy
by Stefano Panzeri Sept. 5, 2017

Sept. 5, 2017

The HBP Partnering Project SloW Dyn <https://www.flagera.eu/wp-content/uploads/2016/02/FLAG-ERA_JTC2015_Project_…>, a FLAG-ERA <https://www.flagera.eu>Project, in collaboration with the Istituto Italiano di Tecnologia <http://cncs.iit.it/> and in collaboration with the EITN <https://www.eitn.org/> (European Institute of Theoretical Neuroscience, Human Brain Project) are organizing a one day workshop on: *Experimental and Theoretical Analysis of Cortical Dynamics* Location: Istituto Italiano di Tecnologia, Corso Bettini 31, Rovereto, Italy Date and time: Friday September 22nd, 2017, from 9am to 6pm *Abstract:* Brain function is hypothesized to emerge from the concerted context-dependent dynamics of its networks. This workshop explores theoretical and experimental approaches for the analysis of brain dynamics at multiple spatial and temporal scales. *Confirmed speakers*: Ruth Benavides-Piccione, Cajal Institute, Madrid Maurizio Corbetta, University of Padova Egidio D'Angelo, University of Pavia Alain Destexhe CNRS, Paris Tommaso Fellin IIT, Genoa Mathieu Galtier, Rhythm, Paris Alessandro Gozzi, IIT, Rovereto Maurizio Mattia ISS, Rome Ruben Moreno-Bote, UPF, Barcelona Stefano Panzeri IIT, Rovereto Mavi Sanchez-Vives, IDIBAPS, Barcelona Davide Zoccolan, SISSA, Trieste Hosts: Stefano Panzeri and Tommaso Fellin Attendance is free, but prior registration is needed. For registration and more information, please email slowdynconference(a)gmail.com regards Stefano Panzeri

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REMINDER: Computational Neuroscience Job at the Krembil Research Institute
by Frances Skinner Sept. 5, 2017

Sept. 5, 2017

Hello all, Just a reminder about the following Faculty position in Computational Neuroscience (see below). *To ensure consideration, please submit your application by September 11th for the latest.* Thank you. --------- https://www.recruitingsite.com/csbsites/uhncareers/JobDescri ption.asp?SiteID=10031&JobNumber=805761 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. -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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Postdoctoral Researcher Position
by Avrama Blackwell Sept. 5, 2017

Sept. 5, 2017

The Computational and Experimental Neuroplasticity laboratory (http://krasnow1.gmu.edu/CENlab/avrama.html) of Kim “Avrama” Blackwell at George Mason University invites applications for a Postdoctoral Research position / software engineer beginning Sept 1, 2017. The successful candidate will contribute to ongoing cutting-edge research in computational systems biology & neuroscience by further development of our stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. The position involves design and implementation of new features for both softwares, providing technical support to lab members developing NeuroRD models and investigating the role of calcium dynamics and cell signaling pathways in learning and plasticity, and writing journal articles and giving presentations on the new software features. CENlab is an interdisciplinary, dynamic and creative research group at Mason’s Krasnow Institute for Advanced Study, located in northern Virginia (15 miles west of Washington, D.C.). Requirements: Ph.D. in a relevant field (e.g. computer science, physics, bioinformatics, engineering) and at least one publication in reputable journal. Experience in software development (scientific software, python and C++ or JAVA preferred). Expertise with Unix operating systems. Knowledge of stochastic processes. To apply, please send curriculum vitae and cover letter to kblackw1(a)gmu.edu. Position will be filled as soon as a suitable candidate is found. The successful applicant will have office space, a unix computer workstation, and a post-doctoral level salary supplemented by excellent state employee benefits. More information: * NeuroRD website: https://github.com/neurord * Krasnow Institute for Advanced Study: http://krasnow1.gmu.edu * George Mason University: http://www.gmu.edu George Mason University is an innovative, entrepreneurial institution with national distinction in a range of academic fields. Enrollment is 30,000, with students studying in over 150 degree programs at campuses in Arlington, Fairfax, Loudoun and Prince William. George Mason University is an equal opportunity employer encouraging diversity.

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Open position: Research scientist in the field of data analysis
by Orth, Boris Sept. 5, 2017

Sept. 5, 2017

The Jülich Supercomputing Centre (JSC) operates one of the most powerful supercomputing infrastructures in Europe and makes it available to researchers at Forschungszentrum Jülich, in Germany and throughout Europe. The JSC’s “Federated Systems and Data” division develops software for data analysis, data management and access to distributed storage and computing systems. The “Simulation Laboratory Neuroscience” in the “High Performance Computing in Neuroscience” division of JSC provides community-specific support for neuroscientists with respect to complex simulations and data analyses on supercomputers, as well as their methods. Both divisions closely collaborate within the “Helmholtz Analytics Framework”. We are looking to recruit a Research scientist in the field of data analysis Your Job: In many scientific disciplines, the analysis of large data sets plays a crucial role. As part of a team in JSC, you will be working interdisciplinary with scientists from other institutes of Forschungszentrum Jülich, as well as from other Helmholtz Centres, in the areas of Earth System Modelling, Structural Biology, Aerospace, Medical Imaging and Neuroscience. In particular, you will analyse, develop and optimize analysis methods and workflows applied in neuroimaging. On this basis, you will support research groups in sharing their methods and tools, and in deriving generic methods and tools. Your Profile: * A university degree in computer science, mathematics, or a related subject * Profound knowledge and experience in algorithm development * Experience in software development and programming with languages such as Python, C++, R * Knowledge and experience with methods like multivariate statistics, error analysis, machine learning, inference approaches * Interest to collaborate closely with developers and users from academia and industry * Strong proactivity * Good command of spoken and written English and ideally German Ideally, good knowledge of * Scripting languages common in the Unix environment (Bash) * Parallel programming (MPI, OpenMP) * Common programming tools and software distribution systems (e.g., Docker, Easybuild) * Analysis of large neuroimaging datasets as well as the relevant software packages (e.g., FSL, FreeSurfer, MRtrix) Our Offer: * Excellent research and computing infrastructure of one of the largest research centres in Europe, ideally situated between the cities of Cologne, Düsseldorf, and Aachen * A comprehensive further training programme, including English language courses * Flexible working hours and various opportunities to reconcile work and family life * Limited for 3 years with possible longer-term prospects * Full-time position with the option of slightly reduced working hours * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system on our career site, quoting the reference number 2017-194. Contact Human Resource Development and Recruiting Judith Dresen Tel.:+49 2461 61 9700 -- Dr. Boris Orth HPC in Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-9123 Fax +49 2461 61-6656 www.fz-juelich.de/ias/jsc<http://www.fz-juelich.de/ias/jsc> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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ANDA 2018 - G-Node Advanced Neural Data Analysis Course, March 5 - 22, 2018, Jülich, Germany
by Frings, Maren Sept. 5, 2017

Sept. 5, 2017

ANDA 2018 - G-Node Advanced Neural Data Analysis Course March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). Date and Venue March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Faculty · Moshe Abeles, Bar-Ilan Univ, Israel · Michael Denker, Juelich Research Center and RWTH Aachen Univ, Germany · Alain Destexhe, CNRS, Gif sur Yvette, France · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Björn Kampa, RWTH Aachen, Germany · Christian Machens, Champalimaud Centre for the Unknown, Portugal · Martin Nawrot, University of Cologne, Germany · Yifat Prut, Hebrew Univ Jerusalem, Israel · Alexa Riehle, CNRS, Marseille, France · Jonathan Victor, Weill Cornell Medical College, USA · Thomas Wachtler, G-Node, LMU Munich, Germany Topics covered Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Data management, reproducibility, data sharing · Elephant toolbox Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. Course Fee A course fee of 800 Euros will be charged to accepted students. The course fee contributes to covering accommodation and meals, including coffee breaks. A few stipends will be available to support students with documented need of funding. Housing Accommodation in 2-bed rooms for students will be provided at the course site. How to apply The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org<mailto:advanced-course@g-node.org>>. Deadlines Applications must be received by October 15, 2017. Early application is encouraged because number of participants is limited. For further information see https://portal.g-node.org/advanced-course-2018/ Organizers · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Martin Nawrot, University of Cologne, Germany · Thomas Wachtler, G-Node, Ludwig-Maximilians-Universität München, Germany Dr. Maren Frings Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Forschungszentrum Jülich GmbH and JARA 52425 Jülich, Germany Building 15.22 Room 4004 Phone +49 2461 61-9468 Fax +49 2461 61-9460 m.frings(a)fz-juelich.de<mailto:m.frings@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Bernstein 2017 Workshop, "The Neural Code: Universal Grammar or Area-Specific Mechanisms?"
by Hazem Toutounji Sept. 4, 2017

Sept. 4, 2017

Dear Colleagues, We would like to draw your attention to the upcoming workshop *The Neural Code: Universal Grammar or Area-Specific Mechanisms?* at the *Bernstein Conference 2017*, which will take place preceding the conference on *September 12-13* in *Göttingen, Germany*. *Abstract:* The brain responds to sensory stimuli with complex, yet structured, patterns of action potentials, which in turn gives rise to perception, action, remembrance and other facets of the organism's mental life. Finding order in the complexity of neural activity, and the quest for the neural code, occupied much of both experimental and theoretical neuroscience in the last decades. Several general theories of how the brain might encode and transfer information have been suggested, partly backed by experimental evidence. Attractor dynamics, binding by synchrony, brain oscillations acting at multiple temporal scales and Bayesian coding are some of the more prominent proposals into this direction. The debate whether these strategies are different facets of a fundamental neural grammar, or are local codes within functionally distinct brain regions, is far from settled. The aim of the workshop is to bring together experts in the field of neural coding, in order to discuss basic mechanisms of information encoding and the deeper question of whether there is a unifying grammar of neural representations. Schedule: Tue, Sept 12, 2017 13:00 Damian Battaglia, Aix-Marseille University, Marseille, France *Do oscillations modulate information processing? From routing states to computing modes* 13:45 Mattia Rigotti, Physical Sciences Department, IBM T. J. Watson Research Center, Yorktown Heights, NY *Functional role of the dimensionality of neural responses* 14:30 General discussion 15:00 Coffee Break 15:30 Máté Lengyel, University of Cambridge, UK *A sampling-based neural code of uncertainty in V1 (and I bet elsewhere, too)* 16:15 Nicolas Brunel, University of Chicago, Chicago, USA *Statistics of connectivity in networks optimizing information storage: fixed point attractors vs sequences* 17:00 Misha Tsodyks, Weizmann Institute of Science, Israel *Population spikes codes for processing and working memory* 17:45 General discussion Wed, Sept 13, 2017 9:00 Stefano Panzeri, Neural Computation Laboratory, Istituto Italiano di Tecnologia, Genova, Italy *The relationship between cross-cell coupling and the timescales of population coding across cortex* 9:45 Thilo Womelsdorf, Vanderbilt University, Nashville, Tennessee, USA *Neural coding and inter-areal integration of goal-relevant information using spike bursts* 10:30 *Coffee break* 11:00 Pascal Fries, Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany *Rhythms for Cognition: Communication through Coherence* 11:45 Genaral discussion Kind regards, Eleonora Russo and Hazem Toutounji -- Dr. rer. nat. Hazem Toutounji Postdoctoral Researcher in Theoretical Neuroscience Central Institute of Mental Health Medical Faculty Mannheim of Heidelberg University Square J5, 68159 Mannheim, Germany office: +49-621-1703-2366

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PhD Opportunities in the Department of Cognitive Sciences at the University of California, Irvine
by Jeff Krichmar Sept. 4, 2017

Sept. 4, 2017

Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine is seeking graduate students for admission in Fall 2018. We invite exceptional and highly motivated candidates to apply for full-time PhD research in computational neuroscience, machine learning, computational vision, neural networks, and neurorobotics. Students will have the opportunity to work in the Cognitive Anteater Robotics laboratory (PI: Jeff Krichmar), the Neuromorphic Machine Intelligence laboratory (PI: Emre Neftci), and the newly established Visual Perception laboratory (PI: Zyg Pizlo) at UC Irvine. For more information about ongoing research see: · http://www3.psych.purdue.edu/~zpizlo/ · http://nmi-lab.org/ · http://www.socsci.uci.edu/~jkrichma/CARL/ Projects include: · Cognitive robotics for decision-making, planning, perception, and memory. · Efficient coding in the brain. · Models of neuromodulation. · Neurobiologically inspired vision models. · Models of human problem solving. · Neuromorphic engineering and machine learning · Spike-based computation Applicants should have strong mathematical and computer programming skills, as well as good communication skills. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Founded in 1965, UCI is the youngest member of the prestigious Association of American Universities. The campus has produced three Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. UCI has more than 30,000 students and offers 192 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $5 billion annually to the local economy. For more information about the Cognitive Sciences graduate program, please see: http://www.cogsci.uci.edu/graduate/index.php Jeff Krichmar Professor Department of Cognitive Sciences University of California, Irvine Email: jkrichma(a)uci.edu Website: http://www.socsci.uci.edu/~jkrichma Emre Neftci, PhD (ETH Zurich) Assistant Professor Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, University of California, Irvine Email: eneftci(a)uci.edu Zygmunt Pizlo Professor Falmagne Endowed Chair in Mathematical Psychology Department of Cognitive Sciences University of California, Irvine Email: zpizlo(a)uci.edu

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[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly Sept. 4, 2017

Sept. 4, 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 environment 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: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-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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Bernstein 2017 workshop: "Information transmission and communication in brain circuits"
by alireza valizadeh Sept. 4, 2017

Sept. 4, 2017

Dear All, We would like to draw your attention to the half day workshop *"Information transmission and communication in brain circuits"* at Bernstein Conference 2017, Sep 13, Göttingen, Germany. *Abstract:* The question of how the brain integrates the mutiplicity of local processes dispersed through its entire anatomy is a fundamental question in neuroscience. Any single cognitive function may involve several specialized areas whose association is mediated by the functional integration among them. Such integration is mediated by information exchange between brain areas through the routes which can change in fast timescales over which the structure is fixed, providing a flexible effective connectivity despite the rigidity of the infrastructure over fast timescales. The flexibility of the information routing and dynamic effective connectivity are a consequence of the multistability of the collective dynamics of the brain networks. In other words, a single structural connectivity can support plenty of degenerate dynamical states for each of which a special pattern of information transfer between the nodes is observed. Neuronal collective oscillations are hypothesized to provide such a basis for the dynamics communication between brain regions. Several lines of experimental evidences and theoretical arguments indicate that the phase relations between the oscillations of different brain regions can alter effective connectivity by modulating the gain of mutual influence between them. In this workshop the notion of information transfer in brain circuits and the role of brain rhythms in providing a dynamic effective communication network will be reviewed and the latest theoretical and experimental achievements will be presented. *Speakers:* - Wolf Singer (Max Planck Institute), - Mark Timme (Max Planck Institute) - Demian Battaglia (Aix-Marseille University) - Christoph Kirst (The Rockefeller University) - Santiago Canals (Instituto de Neurociencias de Alicante) - Raul Vicente (University of Tartu) - Leonardo Gollo (QIMR Berghofer Medical Research Institute) - Alireza Valizadeh (Institute for Advanced Studies in Basic Sciences) *Website:* http://www.nncn.de/en/bernstein-conference/2017/satellite-workshops/informa… Best regards, Alireza Valizadeh, Claudio Mirasso ------------------------------------------------------------------------ Alireza Valizadeh Associate professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS) School of cognitive sciences, Institute for research in fundamental sciences (IPM) Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html ------------------------------------------------------------------------

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CfPs Journal of Integrative Neuroscience: Brain-Inspired Intelligence Technology
by Reinoud Maex Sept. 2, 2017

Sept. 2, 2017

Call for Papers Special issue of the Journal of Integrative Neuroscience on Brain-Inspired Intelligence Technology Guest Editors: R.J. Martis, H. Lin, E. Barakova and Y. Zeng BRAIN-INSPIRED INTELLIGENCE TECHNOLOGY Brain-inspired intelligence technology aims to showcase the principles and mechanisms of human intelligence through development of brain-inspired intelligent systems. It is an effort to extract, integrate and analyse these principles and mechanisms across scale from quantum neuroscience to cognitive science research in pioneering the next wave of sentient technologies. The special issue is unprecedented, showcasing brain-inspired technology beyond 2020. Deadline for submission:25 November 2017 How to Submit: Authors are requested to submit their manuscript via the submission system available at http://msTracker.com/submit1.php?jc=jin In the “Cover Letter” box please indicate you are submitting your paper to the special issue on Brain-Inspired Intelligence Technology Topics of relevance include: * Biophysical neural networks * Brain-inspired cognitive models * Wetware design * Neurophotonics * Elemental conscious constructs * Quantum entanglement in agents * Cognitive technology supporting brain-inspired intelligence * Brain connectome based on optical nanoscopy technology * Observer-independent intelligence * Pico-scale resolution patch-clamping * Brain-inspired super and general artificial intelligence * New deep neural networks for brain-inspired learning * Brain-inspired intelligent hardware infrastructures * Cognitive neurorobotics For more information contact: Yi Zeng, Ph.D Deputy Director Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing, China, 100190 Email: yi.zeng(a)ia.ac.cn see also http://www.iospress.nl/wp-content/uploads/2017/03/CfP_Brain-Inspired_Intell…

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APA Technology, Mind, & Society Conference - Submissions due Oct 20
by Jeff Krichmar Sept. 2, 2017

Sept. 2, 2017

Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. Visit: http://www.apascience.org/conference/index.html The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: • Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. • Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. • Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. • Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. Submissions can be made here: https://www.openconf.org/APAScience2018TMS/openconf.php The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery — Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website. If you have any questions, please contact the APA Science Directorate (science(a)apa.org) Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Scientist I/II - Computational Neuroscience at Allen Institute for Brain Science
by Stefan Mihalas Sept. 1, 2017

Sept. 1, 2017

POSITION SUMMARY We are seeking to fill a position at the level of Scientist to work on coarse-grained models of cortical networks aiming to understand how the observed structure and activity gives relate to cortical computations necessary for visual processing (e.g. figure ground segregation, integration of context). We use mouse vision as a model system and this position will focus on using population statistics (http://alleninstitute.github.io/dipde/) and filter neuron model simulation tools. More specifically, the scientist will work on (i) fitting network models with simple neurons which network structures are consistent with the observed mesoscopic connectivity and in vivo cellular activity, (ii) simulate the activity of such networks at neuronal an population levels and (iii) analyzing the relation between observed network structure and that predicted from different models of cortical computations. ESSENTIAL DUTIES AND RESPONSIBILITIES * Participate in team efforts to find network parameters which are consistent with activity (http://observatory.brain-map.org/visualcoding/) and connectivity (http://connectivity.brain-map.org/) data. * Simulate cortical networks parameterized from experimental data using population and simplified neuron model simulation tools. * Analyze how computations in vision (e.g. figure/ground segregation, integration of context) result from networks similar to those simulated. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS SCIENTIST I * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST II * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * 4+ years of postdoctoral experience in computational science * Preferred Computational neuroscience * Strong background in scientific computing is required. * Strong publication record. Preferred Qualifications: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. To apply please visit https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/. Applications will be considered on an ongoing basis. Apologies for coss-posting, Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/> Affiliate Assistant Professor Department of Applied Mathematics University of Washington

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5th Baltic-Nordic School on Neuroinformatics (BNNI 2017)
by Marja-Leena Linne Sept. 1, 2017

Sept. 1, 2017

5th Baltic-Nordic School on Neuroinformatics BNNI 2017 Theoretical modelling of brain functions in neurological and psychiatric disorders: Advancing future neuroscience and medicine through Neuroinformatics methods Place: Neuroscience Institute Lithuanian University of Health Sciences Eiveniu str.4, Kaunas Lithuania Time: 6-7 October 2017 More information and applications at: web.lsmuni.lt/bnni/en Important dates: 10 September 2017: Application deadline 12 September 2017: Acceptance notification 6-7 October 2017: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2017 to be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania. The course is interdisciplinary and covers modeling at different levels of organization of the brain, focusing on neurological and psychiatric disorders. The course combines lectures, tutorials and computer exercises. This school is the fifth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI in Warsaw 2016, Poland). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Tuomo Mäki-Marttunen, Simula Research Laboratory, Oslo, Norway Inga Griskova-Bulanova, Institute of Bioscience, Vilnius University, Lithuania Rima Naginiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Andrius Radziunas, Department of Neurosurgery, Medical Academy, and Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania and others. Venue: The lectures will be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Eivenių str. 4, Kaunas, Lithuania Practical arrangements: There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. The course is supported by the Research Council of Lithuania and Lithuanian University of Health Sciences. We are looking forward to welcoming you at the BNNI 2017 in Kaunas, Lithuania!

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Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms - DEADLINE EXTENDED
by samarasinghe＠ini.rub.de Sept. 1, 2017

Sept. 1, 2017

Please note that the deadline for applications to the position below has been extended to *15.09.2017*. *Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by *15**.09****.2017*. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

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Postdoc position: computational models of visual memory, Rust lab, UPenn
by Rust, Nicole C Sept. 1, 2017

Sept. 1, 2017

A postdoctoral position focused on developing computational models of visual memory is available in the laboratory of Nicole Rust at the University of Pennsylvania. The lab is broadly interested in understanding the neural processing supporting massive-capacity, single-trial visual memories of images. This specific position involves developing classes of computational models that describe where and how visual memories are stored in the brain as well as how the percept of visual familiarity is signaled. Models include extensions of state-of-the-art descriptions of visual processing (e.g. deep neural networks) as well as more dynamic, mechanistic descriptions. To constrain these models, the researcher will interface with experimentalists in the lab who record and perturb neural signals in monkeys and tree shrews. Opportunities also exist to collaborate with the Simoncelli lab at NYU, the Yamins lab at Stanford, and with other members of the Penn Computational Neuroscience Initiative. Candidates should have a Ph.D. in Computational Neuroscience, Computer Science or a related field prior to starting. The ideal candidate has extensive experience in computational modeling as well as working with behavioral and/or neural data. To inquire about this position, please submit a CV and a brief statement of research interests to nrust(a)psych.upenn.edu<mailto:nrust@psych.upenn.edu>. Nicole Rust Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA http://www.sas.upenn.edu/psych/rust-lab/

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[EAIS 2018] Paper Submission deadline is on Saturday, 20th of January 2018 2359 UTC-12hr
by Teng Teck Hou Sept. 1, 2017

Sept. 1, 2017

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) 25-27 of May 2018, Island of Rhodes, Greece http://easyconferences.eu/eais2018/ ################################################## Contributions will be selected based upon their quality as evaluated by the reviewers. An online submission system for contributions will be made available on this webpage soon. Papers must be comprised of up to 8 pages and they will be published in the IEEE Explore All contributions have to be prepared according to the IEEE conference style guidelines. To see the Topics please visit: http://easyconferences.eu/eais2018/topics.html ################################################## The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in the exotic island of Rhodes (Greece) which has a beautiful medieval town built by the crusaders and it is preserved as UNESCO monument. A main characteristic of Rhodes is its long ancient history with many ancient Greek sites. Set against the historic backdrop of Rhodes island is the elegant and pisturesque lowrise architecture of Aldemar Amilia Mare Village, an all-inclusive seaside resort. Newly refurbished luxury rooms with sea or garden views are the perfect choice for all holidaymakers, f rom singles to families. Dive into crystal clear swimming pools, try a wide range of watersports at the beach, enjoy the Spa Centre with its fully equipped fitness area and sample the cosmopolitan delights of the themed restaurants. ##############################Important Dates############################## * Paper Submission January 20, 2018 * Special Session Proposals 20 December, 2017 * Paper Decision Notification January 15, 2018 * Camera-Ready Submission February 15, 2018 * Authors registration To be announced * Conference May 25 - 27 2018 ########################################################################### ########################## At least three distinguished Keynote Speakers will be invited ########################## ##################### SPECIAL ISSUES ################################### Selected papers (from the list of the accepted and presented ones) will be considered for publication and inclusion in Special Issue of the EVOLVING SYSTEMS (EVOS) Springer Journal. At least one more Special Issue will be edited ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * General co-Chairs Plamen Angelov, Lancaster University, UK Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece PC co-Chairs Edwin Lughofer Johannes, Kepler University Linz, Austria Lazaros Iliadis, Democritus University of Thrace Honorary co-Chairs Dimitar Filev, Ford Motor Company, USA Nikola Kasabov, Auckland University of Technology, New Zealand Special session co-Chairs Abdelhamid Bouchachia, University of Bournemouth, UK Jose Antonio Iglesias, Carlos III University of Madrid (Leganes, Spain) Organizing Chair Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece Local Organizing co-Chairs Constantinos Demertzis, Democritus University of Thrace, Greece Antonis Papaleonidas, Democritus University of Thrace, Greece Workshop co-chairs M. Sayed - Mouchaweich, Universite Lille, France Andre Paim Lemos, Univerity Minas Gerais, Brazil Publicity and Publication co-Chairs Teck-Hou, Teng Singapore Management University, Singapore Antonis Papaleonidas, Democritus University of Thrace, Greece Web Admin Kyriakos Georgiades, Easy Conferences, Cyprus * International Program Committe Plamen Angelov, Lancaster University, UK Rosangela Ballini, University of Campinas, Brazil Jorge Cassillas, University of Granada, Spain Dejan Dovzan, University of Ljubljana, Slovenia Nadine Gaertner, SAP, Germany Lazaros Iliadis, Democritus University of Thrace, Greece Nik Kasabov, Auckland University of Technology, New Zealand Spyros Likothanasis, University of Patras, Greece Daniel Furtado Leite, Federal University of Lavras, Brazil Andre Lemos, Federal University of Minas Gerais, Brazil Edwin Lughofer, Johannes Kepler University, Linz, Austria Yannis Manolopoulos, Aristotle University of Thessalonii, Greece Trevor Martin, University of Bristol, UK Seiichi Ozawa, Kobe University, Japan Witold Pedrycz, University of Alberta, Canada Radu-Emil Precup, University of Timisoara, Romania Olga Senyukova, Lomonosov Moscow State University, Moscow, Russia El Mustapha Mouaddib, Universite de Picardie Jules Verne, France Jus Kocijan, Jozef Stefan Institute, Ljubljana,Slovenia ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Aristotle University of Thessaloniki, Greece * Democritus University of thrace, Greece ##########################################################################

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Penn Psych - Faculty Search
by Rust, Nicole C Aug. 29, 2017

Aug. 29, 2017

Assistant Professor, Cognitive or Affective Science Department of Psychology, University of Pennsylvania The Department of Psychology at the University of Pennsylvania intends to make multiple appointments in the areas of Cognitive Science and Affective Science over the next several years. Our primary focus is at the junior, Assistant Professor level, but in exceptional circumstances a more senior hire may be considered. We are interested in candidates with research interests in the areas, broadly defined, of cognitive science (e.g., learning and memory, perception, attention, language, or decision making) or affective science (e.g., clinical or health psychology; social, moral, or political psychology; positive psychology; or the psychology of individual differences), and who use any number of approaches, including but not limited to computational, neuroscientific (behavioral, systems, or cognitive), or developmental. Interested candidates should submit materials online at http://facultysearches.provost.upenn.edu/postings/1121 and include a curriculum vitae, statements of research and teaching interests, and the names and contact information of three referees. Candidates will contribute to the teaching mission of the university with introductory courses such as Introduction to Psychology, Introduction to Brain and Behavior, Cognitive Psychology, or Abnormal Psychology, as well as advanced undergraduate or graduate courses in specific areas of interest. Referees will be contacted by the University with instructions on how to submit a recommendation letter to the website. Review of applications will begin on September 18, 2017 and continue until the position is filled. The Department of Psychology is strongly committed to Penn’s Action Plan for Faculty Diversity and Excellence and to creating a more diverse faculty (for more information, see http://www.upenn.edu/almanac/volumes/v58/n02/diversityplan.html) The University of Pennsylvania is an equal opportunity employer. Minorities, women, individuals with disabilities, and protected veterans are encouraged to apply. Nicole Rust, Ph.D. Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA 19104 http://www.sas.upenn.edu/psych/rust-lab/

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[jobs] Researcher in Cognitive Robotics
by Di Nuovo, Alessandro Aug. 29, 2017

Aug. 29, 2017

Apologies for multiple postings. A fixed-term position is available at Sheffield Hallam University (UK), within Sheffield Robotics. The post is funded by the EPSRC project EP/P030033/1 - Number Understanding Modelling in Behavioural Embodied Robotic Systems (NUMBERS). Details of the post and the link for applying can be found here: http://www.jobs.ac.uk/job/BDR925/researcher-cognitive-robotics/ NUMBERS is a highly inter-disciplinary cutting-edge cognitive robotics research programme lead by Dr Alessandro Di Nuovo and developed in collaboration with Sheffield Robotics. The project sees the participation of Plymouth University and Stanford University (USA), and received the support of the NVIDIA Corporation (USA). It will utilise one of the most advanced child-like robotic platforms (the "iCub") to construct a novel artificial cognitive model of mathematical cognition by imitating human like learning approaches for developing number understanding. The researcher will contribute to the project by carrying out experiments with the iCub, including: Software development. Collecting and analysing data. Guaranteeing continuity of the robotic experiments. The researcher will also be an active member of the Sheffield Robotics team contributing to scientific publications and supporting exhibitions and demonstrations. Experience of working with the iCub robotic platform would be an advantage as well as the knowledge of deep learning software frameworks. This is an exciting opportunity to contribute to the development of the next generation of socially interactive robots capable of learning and mimicking advanced capabilities of human intelligence. Contact e-mail: a.dinuovo(a)shu.ac.uk

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[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly Aug. 28, 2017

Aug. 28, 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 environment 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: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-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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Postdoc position in electrophysiology/neural coding at Columbia University
by Qi Wang Aug. 28, 2017

Aug. 28, 2017

A postdoc position is available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording and quantitative analytical methods. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu.

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Bernstein 2017 Workshop: "Multiscale modeling and simulation"
by Salvador Dura Aug. 27, 2017

Aug. 27, 2017

Dear All, We would like to bring your attention to the* "Multiscale modeling and simulation" workshop* at the *Bernstein Conference 2017, Sept 12-13, Göttingen, Germany.* *Website: *http://www.nncn.de/en/bernstein-conference/2017/ satellite-workshops/multiscale-modeling-and-simulation-dura-bernal-lytton *Short abstract:* Understanding brain function requires characterizing the *interactions occurring across many temporal and spatial scales*. Mechanistic multiscale modeling aims to organize and explore these interactions across these scales. Multiscale models can provide insights into how changes at the molecular and cellular levels affect dynamics at local networks and brain areas. At the highest levels, they allow us to connect neural activity to theories of behavior, memory and cognition. The recent introduction of large neuroscience projects in US and EU Brain Research through Advancing Innovative Neurotechnologies (BRAIN) and Human Brain Project (HBP) respectively provide an opportunity to rapidly gather new and more accurate data to incorporate into the multiscale models. This workshop will present some of the* latest multiscale modeling tools and approaches in neuroscience, as well as representative examples of datadriven multiscale neural simulations*. The workshop aims to encourage both computational and experimental neuroscientists to make use of multiscale modeling in their research. *Organizers: *Salvador Dura-Bernal and Bill Lytton (SUNY Downstate) *Speakers:* *Tue, Sept 12:* - Bill Lytton (SUNY Downstate) - Jean Pierre Changeux (Pasteur Institute) - Volker Steuber (University of Hertfordshire) - Robert McDougal (Yale University) - Salvador Dura-Bernal (SUNY Downstate) - Cliff C Kerr (University of Sydney) *Wed, Sept 13:* - Szabolcs Kali (Hungarian Academy of Science/HBP) - Marianne Bezaire (Boston University) - Daniel Durstewitz (ZI Mannheim) - Kael Dali (Allen Institute for Brain Science) We look forward to seeing you there! Best Salva -- Salvador Durá-Bernal, Ph.D. Research Assistant Professor State University of New York Downstate Medical Center

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PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research
by Tatjana Tchumatchenko Aug. 27, 2017

Aug. 27, 2017

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

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Postdoctoral opportunity
by Timothy O'Leary Aug. 25, 2017

Aug. 25, 2017

Post-doctoral position in theoretical neuroscience, University of Cambridge Description We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate in Theoretical and Computational Neuroscience to join the research group of Dr Timothy O’Leary in the Department of Engineering, University of Cambridge (http://www.olearylab.org/) The successful applicant will undertake exciting collaborative research projects in systems neuroscience, with the opportunity to work closely with experimental laboratories in Harvard Medical School, HHMI Janelia and the Weizmann Institute of Science. The post will therefore involve significant travel. A range of projects is available, covering themes of neural representations of behaviour, neuromodulation and regulatory control in the nervous system. The successful applicant will have, or be near to obtaining, a PhD in theoretical neuroscience, applied mathematics, control engineering, physics, or theoretical biology, and will have extensive research experience demonstrated by a strong publication record. A solid grounding in neuroscience is important. The position is initially for three years with possibility of extension, with a 6 month probation period. The appointment commences December 1, 2017but start date is flexible within reason. We offer a competitive salary in line with experience and we especially encourage applications from minorities and underrepresented groups. Full application details are available here: http://www.jobs.cam.ac.uk/job/14796/ Closing date: 2017-10-02 Employment start date: 2017-12-01 Contract length: 3 years Institution: University of Cambridge *Timothy O'Leary* Department of Engineering, University of Cambridge, United Kingdom Phone +441223746527 Email tso24(a)cam.ac.uk

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advertised postdoc position
by Matthew Chalk Aug. 25, 2017

Aug. 25, 2017

Postdoc position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: A postdoctoral position is available for a project with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/) within the University of Pierre and Marie Curie, in Paris, France. The project will involve investigating principles of neural coding in the retina. Specifically, the project will investigate how different coding objectives, such as optimising efficiency or encoding predictive information, can explain the diverse ways that neurons in the retina respond to visual stimulation. The postdoc will include both a theoretical and an experimental component. The theoretical part of the project will extend previous work by Chalk et al. to develop a general theory of optimal neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part will involve running experiments to test this theory in the retina. The experimental part will be in close collaboration with members from the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a PhD with a strong, quantitative background (ideally in fields such as machine learning and/or theoretical neuroscience). The position is funded for three years. Applications should include a CV, a statement of research interests (max 1 page), and two letters of recommendation. The earliest starting date will be 14/01/18. Electronic submissions in pdf-format are preferred and should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions about the position if you are interested.

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Fully funded PhD position on machine learning for neuroimaging data analysis
by Diego Sona Aug. 23, 2017

Aug. 23, 2017

We are seeking candidates for a PhD position entitled “Computational Methods for Brain Connectivity Analysis”. The research will aim at developing novel approaches based on machine learning for the analysis of structural and functional brain connectivity from neuroimaging data (e.g., fMRI, rsMRI, DTI, MEG, EEG, etc.). The aim is to better understand the brain and characterize the neurological and neurodegenerative diseases. The successful candidate will have the opportunity to work in an interdisciplinary environment. The applicant should have a background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ <https://nilab.fbk.eu/>) and the Pattern Analysis and Computer Vision Laboratory (PAVIS, http://pavis.iit.it/ <http://pavis.iit.it/>). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it <http://www.cimec.unitn.it/>). Interested candidates must apply for the PhD grant following the instructions in the call published by Università degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school <http://ict.unitn.it/application/ict_doctoral_school>) referring to position A5. Deadline for the formal application is August 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) Interested candidates are also invited to contact Paolo Avesani (avesani(a)fbk.eu <mailto:avesani@fbk.eu>) and Diego Sona (diego.sona(a)iit.it <mailto:diego.sona@iit.it>) by emailing their CV and a short statement of interest in this position. For further information on the position and the application process refers to the following links http://ict.unitn.it <http://ict.unitn.it/> http://ict.unitn.it/application/project_specific_grants <http://ict.unitn.it/application/project_specific_grants> Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it pavis.iit.it/people/diego-sona ---------------------------------------------------------

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Assistant Professor Neural Mechanisms of Cognition and Behavior, Emory University (Atlanta, USA)
by Liu, Robert C Aug. 23, 2017

Aug. 23, 2017

Assistant Professor, Neural Mechanisms of Cognition and Behavior The Department of Psychology at Emory University invites applications for a tenure-track position at the level of assistant professor with an anticipated start date of August 1, 2018. We seek applicants to establish an independent, federally-funded program of research aimed at understanding mechanisms of cognition and behavior at biological and psychological levels with a goal of building on Emory's strengths in behavioral, cognitive, affective, social, computational, developmental, and/or comparative neuroscience. We also seek applicants with a strong commitment to undergraduate and graduate teaching. Laboratory space for small animals as well as research facilities for humans (including a research-dedicated 3T MRI scanner) are available. Applicants whose research uses cutting-edge techniques in small animals and bridges to studies with humans are particularly encouraged to apply. Ph.D. required. Candidates should submit applications at psychology.emory.edu. Please include a CV, a research statement, a teaching statement, two or three representative publications, and three letters of recommendation. Please also include a brief statement in your cover letter that addresses past activities and future plans to advance equity, inclusion, and diversity in your professional career. Review of applications will begin on November 1, 2017, and applications received up to 30 days after review begins will be given full consideration. Emory University (Atlanta, GA) is a diverse community that values multiple perspectives and is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms
by samarasinghe＠ini.rub.de Aug. 23, 2017

Aug. 23, 2017

*Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by 31.08.2017. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

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Memory GATE opens early for 2 theoretical PhD students at SISSA
by Alessandro Treves Aug. 23, 2017

Aug. 23, 2017

Memory research: Ground-breaking, Applied, and Technological Exchanges is an EU-funded Innovative Training Network coordinated by Francesco Battaglia and including groups at the Radboud (Nijmegen), UCLondon, NTNU-Trondheim, INSERM & AMU (Marseille), Weizmann, Janssen Pharma and SISSA, which will host 15 PhD students on projects taking different approaches to hippocampal memory functions, starting in early 2018. The two theorists to be hosted at SISSA, however, have to be admitted to its Cognitive Neuroscience PhD, by attending the exam in Trieste on Sept 11-12, 2017, see http://www.sissa.it ----------- Deadline August 31st, 2017 --------------- Ideal candidates, who can be of any nationality but must not have spent much time in Italy in the last 3 years, enjoy analytical, mathematical and computational excursions when seeking fundamental network understanding. Those admitted will be awarded a SISSA fellowship for the first few months, and later a much higher, EU-set M-GATE fellowship once the ITN operates. Feel free to inquire about limbo (then please send a CV) to ale(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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Neuromodulation of Neural Microcircuits NM2 Conference 2017
by Srikanth Ramaswamy Aug. 22, 2017

Aug. 22, 2017

We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (<https://nm2.epfl.ch/>NM2) Conference 2017<https://nm2.epfl.ch> (https://nm2.epfl.ch/) The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: • Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits • Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease • Integrate knowledge to build a unifying view of the neuromodulation of different brain regions • Inform and attract new talent to drive forward neuromodulation research • Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program<https://nm2.epfl.ch/page-145616-en.html> with a stimulating lineup of speakers<https://nm2.epfl.ch/page-145624-en.html>! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration<https://nm2.epfl.ch/page-145625-en.html> includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to submit poster abstracts<https://nm2.epfl.ch/page-146294-en.html>. Some abstracts will be selected for flash talks. Early bird registration is open until August 21st, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten

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Postdoctoral Fellowship: Enhancing Real-World Memory
by Christopher Honey Aug. 22, 2017

Aug. 22, 2017

POSTDOCTORAL FELLOW: ENHANCING REAL-WORLD MEMORY A fully-funded postdoctoral position is available in Dr. Christopher Honey's lab in the Department of Psychological and Brain Sciences at Johns Hopkins University (www.honeylab.org) Working with the Barense Lab at the University of Toronto, our team is developing a memory prosthetic device which enhances memory for everyday events. This postdoctoral research would lead investigations into how memory can be optimized by grouping, timing and framing of replay events. The ideal candidate would be conversant in both neuropsychological theory of memory as well as the computational analysis of real-world audiovisual data. Johns Hopkins is home to a large and vibrant community of neuroscience researchers, and features strong connections between psychology, systems and cognitive neuroscience, biomedical engineering and computer science. Postdoctoral fellows will have access to the MARCC computing cluster; a top-notch neuroimaging center, including 3T and 7T scanners; new TMS and EEG facilities are housed in the PBS department; human intracranial experiments are possible via neurology collaborators in Baltimore and Toronto. The targeted start date for this position is October 2017. The initial appointment is for one year, with the opportunity for renewal thereafter. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University's goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant. QUALIFICATIONS Candidates should have a PhD in a relevant field (e.g., psychology, cognitive science, neuroscience, physics, mathematics, computer science) and a record of published work related to memory and/or wearable devices. Strong programming skills are required. APPLICATION INSTRUCTIONS To apply, please email chris.honey(a)jhu.edu, providing: a current CV, a brief summary of research accomplishments and plans; two example publications or computational projects; contact information for three references.

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Postdoctoral researcher, neuroimaging & computational neuroscience
by Megan Peters Aug. 21, 2017

Aug. 21, 2017

Postdoctoral researcher, neuroimaging & computational neuroscience (Megan Peters) The Neural Computation Lab in the Department of Bioengineering at the University of California, Riverside, led by Dr. Megan Peters, is seeking a postdoctoral researcher. Topics of investigation include neural substrates of uncertainty, decision-making, and perceptual awareness using computational analysis and neuroimaging (fMRI, EEG). The successful candidate holds a Ph.D. or equivalent in computational neuroscience, bioengineering, applied math, computer science, or related field, and has substantial computational background in analyzing neuroimaging data (e.g., MVPA, connectivity, graph theory) and ideally computational modeling (Bayesian, signal detection theory, neural networks). Proficiency in at least one programming language (Matlab, Python, etc) is required. Our research group is part of a strong and lively neuroscience research community at UCR, and has strong ties to other groups in southern California and worldwide, including at UCLA (Hakwan Lau’s group; Michele Basso’s group; Alicia Izquierdo’s group), Advanced Telecommunications Research (ATR) in Kyoto (Mitsuo Kawato’s group), and Nagoya University (Kazuhisa Shibata’s group). Initial appointment will be for one year, with the possibility to renew up to five years. Compensation will be according to the NIH payscale. The University of California is an equal opportunity employer. Applications from women and underrepresented minorities are encouraged. To apply, please send a CV, statement of interests, up to 3 letters of recommendation and any relevant reprints to Dr. Peters at mpeters(a)engr.ucr.edu. We are accepting applications until the position is filled. -- Megan Peters, Ph.D. Assistant Professor Department of Bioengineering University of California, Riverside http://www.engr.ucr.edu/faculty/meganpeters.html

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postdoc in Barcelona to do single cell recordings in humans
by Quian Quiroga, Rodrigo (Prof.) Aug. 21, 2017

Aug. 21, 2017

*** Apologies for multiple postings*** Dear all, Please see below details of a postdoc position at the Barcelona ßeta Brain Research Center to study memory mechanisms by performing single cell recordings in humans in collaboration with Hospital del Mar. Cheers, Rodrigo Postdoc Position Barcelona ßeta Brain Research Center (BBRC) The Barcelona ßeta Brain Research Center (BBRC) offers a fully funded postdoc position at the research group headed by Professor Rodrigo Quian Quiroga. The group is part of a new Research Program on Memory, complementary to ongoing research at BBRC dealing with the Prevention of Alzheimer Disease. The group is associated to the epilepsy group headed by Dr. Gerardo Conesa at Hospital del Mar, a health center close to BBRC. Research will involve the study single cell recordings in humans. These recordings are performed in epileptic patients for curative surgery. In particular, the project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. The successful candidate will contribute to performing recordings with patients at the Hospital del Mar and the analysis of the data to investigate the role of these neurons in memory formation, consolidation, long-term coding and recall. Candidates should have excellent quantitative skills (data processing, and programming, preferably in Matlab) and ideally, a strong background in neuroscience and experience with neurophysiology recordings. They should be able to work both independently and as part of a research team within the BBRC. The position is initially offered for 2 years, with the possibility to extend it for another 2 years. Salary will be competitive, depending on experience. The closing date for the applications is Monday 25th August 2017. Start date will be in October 2017. For application details and further particulars see: https://fpmaragall.org/en/wp-content/uploads/sites/3/2014/07/Postdoc_Neural… Informal inquiries are welcome and should be submitted electronically to: rh(a)fpmaragall.org Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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FW: 5th Baltic-Nordic School on Neuroinformatics BNNI 2017
by Marja-Leena Linne Aug. 20, 2017

Aug. 20, 2017

5th Baltic-Nordic School on Neuroinformatics BNNI 2017 Theoretical modelling of brain functions in neurological and psychiatric disorders: Advancing future neuroscience and medicine through Neuroinformatics methods Place: Neuroscience Institute Lithuanian University of Health Sciences Eiveniu str.4, Kaunas Lithuania Time: 6-7 October 2017 More information and applications at: http://web.lsmuni.lt/bnni/en Important dates: 3 September 2017: Application deadline 10 September 2017: Acceptance notification 6-7 October 2017: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2017 to be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania. The course is interdisciplinary and covers modeling at different levels of organization of the brain, focusing on neurological and psychiatric disorders. The course combines lectures, tutorials and computer exercises. This school is the fifth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI in Warsaw 2016, Poland). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes Marja-Leena Linne, Tampere University of Technology, Finland Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Tuomo Mäki-Marttunen, Simula Research Laboratory, Oslo, Norway Rima Naginiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Andrius Radziunas, Department of Neurosurgery, Medical Academy, and Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania and others. Venue The lectures will be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Eivenių str. 4, Kaunas, Lithuania Practical arrangements There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. The course is supported by the Research Council of Lithuania and Lithuanian University of Health Sciences. We are looking forward to welcoming you at the BNNI 2017 in Kaunas, Lithuania!

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Late registration open for Integrated Systems Neuroscience
by Mark Humphries Aug. 17, 2017

Aug. 17, 2017

Dear colleagues, late registration for the Integrated Systems Neuroscience meeting is now open until Friday September 1st Please register here: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ ISN is a forum for the state-of-the-art in systems and computational approaches to key neural circuits. This year our speakers range across population coding; decision-making; hippocampus; whole CNS imaging; cortical dynamics; and motor circuits Our Speakers Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) ISN2017 is being held in Manchester, UK, on the 7-8th September. Any questions? Late-breaking poster? Please contact us at isn2017(a)manchester.ac.uk<mailto:isn2017@manchester.ac.uk> Hope to see you in Manchester! Mark Humphries & Rasmus Petersen Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health | University of Manchester @markdhumphries Public blog: medium.com/the-spike<http://medium.com/the-spike>

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Open position: Expert in machine learning and high-performance computing
by Daniel Zysman Aug. 16, 2017

Aug. 16, 2017

The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do… <https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do…> For more information about our department: https://bcs.mit.edu/ <https://bcs.mit.edu/> Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor’s degree (advanced degree preferred) in a scientific field or computer science; at least four years’ experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. ------------------------------------------------------ Daniel Zysman Computational Course Co-Instructor MIT, Department of Brain & Cognitive Sciences

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Fully funded PhD studentship in Computational Neuroscience
by Vassilis Cutsuridis Aug. 16, 2017

Aug. 16, 2017

PhD Position in Computational Neuroscience (EU/UK candidates only) MLearn Research Group (http://mlearn.lincoln.ac.uk/) School of Computer Science University of Lincoln UK Applications are invited for a PhD position in the Machine Learning (MLearn) Research Group at the University of Lincoln. Projects involve the development and simulation of models of neuronal networks (microcircuits) of learning and memory in animal and human entorhinal cortex and hippocampus in health and disease (e.g. epilepsy, schizophrenia, Alzheimer's disease). A starting point of the project is the paper by Cutsuridis V, et al. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. *Hippocampus*, 20(3): 423-446. <http://vassiliscutsuridis.com/docs/Journal_papers/CutCobGraHippo2010.pdf> <http://mlearn.lincoln.ac.uk> Student applicants should have excellent computational and numerical skills and a very good first degree in computer science, engineering, maths, physics, or a related discipline. Successful student candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). This PhD studentship is ONLY OPEN to UK/EU students. The ideal candidate should be highly motivated, technically skilled, a team player and driven to push forward the development of the next generation of deep associative memory neural-networks. Your written and spoken English skills should be excellent. As a PhD student, you may also have the opportunity to teach as a demonstrator in the School of Computer Science. Research in Computer Science at the University of Lincoln has been recognised as internationally excellent and world leading. The School of Computer Science provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Lincoln, two hours northeast of London. Please contact Dr Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) or Prof. Stefanos Kollias (skollias(a)lincoln.ac.uk) for informal enquiries. If you’re interested to apply, please email your CV, a brief statement of your scientific interests, and three reference letters to Dr. Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) <vcutsuridis(a)lincoln.ac.uk> Applications will be assessed on a rolling basis. Vassilis Cutsuridis School of Computer Science University of Lincoln Lincoln LN6 7TS U.K. Tel: +44 (0) 1522 83 5107 Email: vcutsuridis(a)lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal Web: http://www.vassiliscutsuridis.com/

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Postdoctoral position / Optimizing NEST for Modular Supercomputing Architecture
by Hans Ekkehard Plesser Aug. 15, 2017

Aug. 15, 2017

com Dear Colleagues! I am looking for a post-doc to join my group to work on optimizing NEST (www.nest-simulator.org) for a novel modular supercomputing architecture developed by the DEEP-EST collaboration (www.deep-projects.eu) and to combine NEST simulations with simultaneous detailed LFP model (HybridLFPy, http://inm-6.github.io/hybridLFPy) or spike-train analysis (Elephant, neuralensemble.org/elephant) exploiting the heterogeneous DEEP-EST architecture. The position is funded by DEEP-EST, an EU FET-HPC project, coordinated by Forschungszentrum Jülich and involves academic and industry partners. The position is available immediately until the end of the project (June 2020). The full announcement for the position is available at https://www.jobbnorge.no/en/available-jobs/job/141149/postdoctoral-fellow-i… Please get in touch if you have any questions! Hans Ekkehard -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern
by Thomas Kreuz Aug. 15, 2017

Aug. 15, 2017

Dear all, may I kindly draw your attention to our paper on the new multivariate directional measure *SPIKE-Order*. In this paper we propose a new approach to quantify consistency of spatio-temporal propagation patterns in sequences of discrete events (e.g. spike trains). This includes a sorting from leader to follower. As usual we show some applications to neurophysiological data. *Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern <http://iopscience.iop.org/article/10.1088/1367-2630/aa68c3/meta>* Thomas Kreuz, Eero Satuvuori, Martin Pofahl and Mario Mulansky New J. Phys., *19*, 043028 (2017). Abstract: Repetitive spatio-temporal propagation patterns are encountered in fields as wide-ranging as climatology, social communication and network science. In neuroscience, perfectly consistent repetitions of the same global propagation pattern are called a *synfire pattern*. For any recording of sequences of discrete events (in neuroscience terminology: sets of spike trains) the questions arise how closely it resembles such a synfire pattern and which are the spike trains that lead/follow. Here we address these questions and introduce an algorithm built on two new indicators, termed *SPIKE-order* and *spike train order*, that define the *synfire indicator* value, which allows to sort multiple spike trains from leader to follower and to quantify the consistency of the temporal leader-follower relationships for both the original and the optimized sorting. We demonstrate our new approach using artificially generated datasets before we apply it to analyze the consistency of propagation patterns in two real datasets from neuroscience (giant depolarized potentials in mice slices) and climatology (El Niño sea surface temperature recordings). The new algorithm is distinguished by conceptual and practical simplicity, low computational cost, as well as flexibility and universality. Implementations are provided online in three free code packages called SPIKY <http://www.fi.isc.cnr.it/users/thomas.kreuz/Source-Code/SPIKY.html> (Matlab GUI), PySpike <http://mariomulansky.github.io/PySpike/>(Python library) and, most recently, cSPIKE <http://www.fi.isc.cnr.it/users/thomas.kreuz/Source-Code/cSPIKE.html>(Matlab command line with MEX-files). Best regards, Thomas Kreuz PS: Three further recent articles: *Measures of spike train synchrony for data with multiple time scales <http://www.sciencedirect.com/science/article/pii/S0165027017301619>* Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, Irene Malvestio, Fleur Zeldenrust, Kerstin Lenk, Thomas Kreuz JNeurosci Methods *287*, 25 (2017). Background Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the ISI-distance, the SPIKE-distance and SPIKE-synchronization, are preferable to time scale parametric measures, since by adapting to the local firing rate they take into account all the time scales of a given dataset. New method In data containing multiple time scales (e.g. regular spiking and bursts) one is typically less interested in the smallest time scales and a more adaptive approach is needed. Here we propose the A-ISI-distance, the A-SPIKE-distance and A-SPIKE-synchronization, which generalize the original measures by considering the local relative to the global time scales. For the A-SPIKE-distance we also introduce a rate-independent extension called the RIA-SPIKE-distance, which focuses specifically on spike timing. Results The adaptive generalizations A-ISI-distance and A-SPIKE-distance allow to disregard spike time differences that are not relevant on a more global scale. A-SPIKE-synchronization does not any longer demand an unreasonably high accuracy for spike doublets and coinciding bursts. Finally, the RIA-SPIKE-distance proves to be independent of rate ratios between spike trains. Comparison with existing methods We find that compared to the original versions the A-ISI-distance and the A-SPIKE-distance yield improvements for spike trains containing different time scales without exhibiting any unwanted side effects in other examples. A-SPIKE-synchronization matches spikes more efficiently than SPIKE-synchronization. Conclusions With these proposals we have completed the picture, since we now provide adaptive generalized measures that are sensitive to firing rate only (A-ISI-distance), to timing only (ARI-SPIKE-distance), and to both at the same time (A-SPIKE-distance). *Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains <https://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.022203>* Irene Malvestio, Thomas Kreuz, Ralph G Andrzejak Physical Review E *96*, 022203 (2017). The detection of directional couplings between dynamics based on measured spike trains is a crucial problem in the understanding of many different systems. In particular, in neuroscience it is important to assess the connectivity between neurons. One of the approaches that can estimate directional coupling from the analysis of point processes is the nonlinear interdependence measure L. Although its efficacy has already been demonstrated, it still needs to be tested under more challenging and realistic conditions prior to an application to real data. Thus, in this paper we use the Hindmarsh-Rose model system to test the method in the presence of noise and for different spiking regimes. We also examine the influence of different parameters and spike train distances. Our results show that the measure L is versatile and robust to various types of noise, and thus suitable for application to experimental data. *SPIKE-order <http://www.scholarpedia.org/article/SPIKE-order>* Thomas Kreuz, Eero Satuvuori, Mario Mulansky Scholarpedia, *12*(7):42441 (2017). -- Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz(a)cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/

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Research Associate, Neuroimaging analyst, Western University
by Jorn Diedrichsen Aug. 15, 2017

Aug. 15, 2017

Western University has received a $66M investment from the Canada First Research Excellence Fund (CFREF). This investment will bring together researchers from across the University under a unifying initiative called BrainsCAN. The mission of BrainsCAN is to reduce the burden of brain disorders that affect sensory, cognitive, and motor functions. The initiative aims at extending and mobilizing knowledge of the mappings between neural circuits and mental functions to deliver evidence-based interventions. The Research Associate, Neuroimaging Analyst will apply their expertise and knowledge to support ongoing research projects directed by the principal investigators of the BrainsCAN initiative. The incumbent will become part of BrainsCAN’s Computational Core, which aims to develop new computational techniques for the analysis of behavioral, brain imaging, and neuronal data. The incumbent will play a lead role in training staff, students and postdoctoral fellows in the application of data analysis and modelling techniques. The incumbent will have developed an independent method-based research portfolio, and will support and operationalize new and innovative computational techniques. Working with individual laboratories, the incumbent will help to develop research and project plans, advise on data analysis techniques and statistical inference related to neuroimaging and electrophysiological research, and assist in the technical and statistical aspects of manuscripts and research reports. Deadline for applications: September 27th Further particulars: https://www.academicacareers.com/node/7227 Please contact me if you have further questions, Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Research associate position in matlab programming
by Tania Rinaldi Barkat Aug. 14, 2017

Aug. 14, 2017

Our lab, hosted by the Department of Biomedicine of Basel University, Switzerland, is currently seeking a research associate for a 6-month project. The role would be to write an analysis program in matlab for neuronal data from electrophysiological recordings, as well as analyze the data. JOB DESCRIPTION The first part of the project consists of writing an extension of a professional, user-friendly matlab program for the analysis of electrophysiological data based on an existing program we already have in the lab. The successful candidate will interact with experimentalists in our lab, understand their needs and produce a modular and user-friendly matlab program for extracellular neuronal recordings. The second part of the project consists of using this program to analyze data aimed at deepening our understanding of the brain. Start date is as soon as possible. The period of employment is 6 months, with possibility of extension. YOU ARE OUR NEW RESEARCH ASSOCIATE IF YOU: - Have extensive programming experience in matlab - Have previously worked with neuroscience data, ideally electrophysiological recordings - Have the dual ability of analyzing researchers’ need and translating it into code - Are a creative problem-solver - Are a self-starter and an independent researcher ABOUT THE LAB www.brainsoundlab.com The aim of our lab is to understand the role of specific neural circuits in making sense of sounds. We combine optogenetics, in vivo electrophysiology, voltage-sensitive dye imaging and behavioral assays to explore the functions of neuronal circuits in the mouse auditory cortex. To apply, please send your CV and a cover letter briefly summarizing your research interests to Tania Barkat (tania.barkat(a)unibas.ch) --------------------------- Tania Rinaldi Barkat Assistant Professor in Neurophysiology Basel University Department of Biomedicine, room 7001 Klingelbergstrasse 50-70 4056 Basel Switzerland +41 61 207 1638 www.brainsoundlab.com

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International Brain Laboratory Staff Positions Ads
by Zachary Mainen Aug. 11, 2017

Aug. 11, 2017

Dear all, Please see below 5 available positions for staff with the International Brain Lab. Dissemination through your contacts would be much appreciated. Best, Zach Mainen --- The International Brain Laboratory (https://www.internationalbrainlab.com/) is seeking 5 collaborators who will play key roles in a new large-scale international collaboration in brain research. The IBL combines the efforts of approximately 50 scientists in 20 laboratories toward understanding the brain-wide basis of a complex behavior. The project will involve recording the activity of millions of neurons in the working brain and building mathematical models of the resulting data. The data sets this project will produce are vast and complex, including physiological recordings, behavioural measurements, and video, all of which must be standardized into common formats, integrated into a single database, and subjected to quality control. These core positions will support the both experimental and theoretical work through the entire lifecycle of data, including acquisition, analysis, modeling and dissemination. Project Manager (PM) - The primary responsibilities of the PM will include ensuring delivery of key milestones, managing overall project budget and finances, facilitating project governance and internal communication, and liaising with funders, external agencies and partners. Candidates should have demonstrated success in project management of a comparable scale and a strong background in scientific research. Technical Manager (TM) - The TM will be responsible for ensuring reproducibility of experiments across labs by (1) helping to establish and maintain a common set of experimental apparatus for behavior and neural recordings and (2) establishing procedures for standardizing, monitoring and troubleshooting experimental conditions, including animal subjects, surgical procedures, materials, etc. The position will involve extensive travel between ten experimental laboratories at six institutions across the U.S. and Europe. The ideal candidate would have a PhD in neuroscience and very strong technical and experimental skills. Strong organizational and interpersonal skills are required. Prior experience in laboratory or project management is desirable. Data Coordinator (DC) - The DC will work closely with our contributing labs and scientific programming staff to ensure the integrity and organization of data collected by experimental labs. The ideal candidate would have a PhD in neuroscience, and extensive experience with large neurophysiological and behavioral datasets. Attention to detail and ability to work collaboratively are both essential. Strong computing ability is also important, including knowledge of relational databases, Python and MATLAB. Scientific MATLAB Programmer (SMP) - The SP will contribute to the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure for this collaborative research project, and supporting it. The ideal candidate will have extensive experience with MATLAB and previous work with big data in scientific research. Knowledge of Python and relational databases and experience interfacing with experimental control hardware is desirable. Senior Scientific Programmer (SSP) - The SSP will lead the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure, as well as a role in ensuring data integrity, working closely with data providers to ensure it meets project standards. The ideal candidate will have extensive experience with relational databases and Python. Experience with MATLAB, previous work with big data in scientific research, and experience interfacing with experimental control hardware would also be desirable. Remuneration will be competitive and commensurate with experience. There is considerable flexibility in base location within the U.S. and Europe. To apply, please send cover letter and CV to info(a)internationalbrainlab.com with subject: PositionAcronym LastName. Review of applications will begin immediately and continue until the position is filled, with an ideal start date of Sept.-Oct., 2017. --- Zachary F. Mainen, Ph.D. Champalimaud Neuroscience Programme Champalimaud Centre for the Unknown Av. Brasília s/n 1400-038 Lisbon Portugal +351 210 480 100 zmainen(a)neuro.fchampalimaud.org <zmainen(a)fchampalimaud.org> www.neuro.fchampalimaud.org/group/mainen @zmainen

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Postdoc Position in Retina Research / Computational Neuroscience
by Gollisch, Tim Aug. 11, 2017

Aug. 11, 2017

A postdoc position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The group studies information processing and neural coding in the neural network of the vertebrate retina, using a combination of electrophysiological and computational approaches. Experimental methods include extracellular multielectrode-array recordings and intracellular recordings from neurons in the isolated retina (mouse and salamander), using both wild-type retinas and optogenetic retina models of vision restoration therapy. A strong focus of the group is to combine these experiments with novel tools for data analysis and mathematical modeling. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the university, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen and of the Collaborative Research Center "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) For more information about the research group, please visit the group's website: http://www.retina.uni-goettingen.de/. We are looking for a highly motivated scientist with a good background in electrophysiology or computational/theoretical neuroscience. Experience in both of these areas is a bonus, but not required. Experience in computer programming or in scripting of data analysis routines is also a plus. The position is for 2 years initially with the possibility for renewal. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV, a statement of what interests you about the group's work, and contact details for two references. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Aug. 11, 2017

Aug. 11, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Sanur - Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 19, 2018 in Sanur Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas Important Dates ################################################################### * Tutorial and workshop proposals (Submission) 15 September 2017 * Tutorial and workshop proposals (Decision) 30 September 2017 * Paper submission 2 November 2017 * Decision notification 31 December 2017 * Conference 17 - 19 April 2018 ################################################################### Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong kong Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Hendro Nurhadi, Institut Teknologi Sepuluh Nopember, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Zain, La Trobe University, Australia ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ##########################Sponsoring Organizations########################## * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ############################################################################

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Bernstein 2017 Workshop: "Multiscale modeling and simulation"
by Salvador Dura Aug. 10, 2017

Aug. 10, 2017

Dear All, We would like to bring your attention to the "Multiscale modeling and simulation" workshop at the Bernstein Conference 2017, Sept 12-13, Göttingen, Germany. Website: http://www.nncn.de/en/bernstein-conference/2017/satellite-workshops/multisc… Short abstract: Understanding brain function requires characterizing the interactions occurring across many temporal and spatial scales. Mechanistic multiscale modeling aims to organize and explore these interactions across these scales. Multiscale models can provide insights into how changes at the molecular and cellular levels affect dynamics at local networks and brain areas. At the highest levels, they allow us to connect neural activity to theories of behavior, memory and cognition. The recent introduction of large neuroscience projects in US and EU Brain Research through Advancing Innovative Neurotechnologies (BRAIN) and Human Brain Project (HBP) respectively provide an opportunity to rapidly gather new and more accurate data to incorporate into the multiscale models. This workshop will present some of the latest multiscale modeling tools and approaches in neuroscience, as well as representative examples of datadriven multiscale neural simulations. The workshop aims to encourage both computational and experimental neuroscientists to make use of multiscale modeling in their research. Organizers: Salvador Dura-Bernal and Bill Lytton (SUNY Downstate) Speakers: Tue, Sept 12: - Bill Lytton (SUNY Downstate) - Jean Pierre Changeux (Pasteur Institute) - Volker Steuber (University of Hertfordshire) - Robert McDougal (Yale University) - Salvador Dura-Bernal (SUNY Downstate) - Cliff C Kerr (University of Sydney) Wed, Sept 13: - Szabolcs Kali (Hungarian Academy of Science/HBP) - Marianne Bezaire (Boston University) - Daniel Durstewitz (ZI Mannheim) - Kael Dali (Allen Institute for Brain Science) We look forward to seeing you there! Best Salva -- Salvador Durá-Bernal, Ph.D. Research Assistant Professor State University of New York Downstate Medical Center

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postdoc position
by Jean Daunizeau Aug. 4, 2017

Aug. 4, 2017

Dear all, Please find below the description of an open postdoc position. Do not hesitate to contact me should you require additional information. Best, Jean. **** Postdoctoral position in computational cognitive neuroscience **** This position is available at the Brain and Spine Institute (Paris, France) <http://icm-institute.org/en/>, in the Motivation, Brain & Behaviour team <https://sites.google.com/site/motivationbrainbehavior/>, under the direction of Dr. Jean Daunizeau. The position will follow standard French salaries at INSERM. Expected starting date: Fall 2017. *Computational cognitive neuroscience* uses mathematical modelling as a tool to understanding how mental processes (e.g., perception, memory, attention, emotion, etc...) are controlled by brain circuits. Its breadth typically ranges from biological models of neural network activity to cognitive models of brain information processing, to machine learning approaches to neuroscience data. In line with this approach, the Motivation, Brain & Behaviour group addresses the issue of identifying the* neural bases of motivation in health and disease* with a strong multi-disciplinary focus. The successful candidate will team with students with very diverse academic backgrounds (from neurology, psychiatry, biology and psychology, to philosophy, to economics and mathematics). S/he will be expected to contribute to all aspects of the research, including computational modelling, as well as data collection and analysis. A non-exhaustive list of possible projects is provided here: https://sites.google.com/site/jeandaunizeauswebsite/students. Required skills: - *[Mandatory]* Ph.D. either in Cognitive Neuroscience or in Engineering (or related fields) - *[Mandatory]* Autonomy in programming in MATLAB, Python or C - *[Desired]* Experience in computational models of neural and/or cognitive processes - Fluency and solid writing skills in English are expected. French is not a requirement. Please apply to jean.daunizeau(a)gmail.com with a recent CV, a brief (1 page) summary of your previous research and a letter of motivation. -- Jean Daunizeau Motivation, Brain and Behaviour group (ICM) web: http://sites.google.com/site/jeandaunizeauswebsite/

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AoN Brainhack Warsaw 2017 - call for project proposals
by Natalia Bielczyk Aug. 4, 2017

Aug. 4, 2017

AoN Brainhack Warsaw 2017 November 18-19, 2017 University of Warsaw, Warsaw, Poland *— The call for proposals extended to 1st September 2017 — * On the weekend of 18-19th November 2017, the first edition of *AoN Brainhack* *Warsaw* will take place. During this two-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016). The venue and the exemplary projects are presented on our website: *https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/>* Please note this Brainhack is a satellite event for the interdisciplinary Aspects of Neuroscience conference which will take place on 24-26th November 2017 in Warsaw. Participation in the conference is not mandatory but we encourage to also consider this. Important deadlines: Deadline for project proposals: September 1st, 2017 Announcement of projects: September 15th, 2017 Participant registration starts: September 1st, 2017 Deadline for participant registration: November 1st, 2017 At the moment, the *call for project proposals* is open. The proposals can include various forms of a group activity, e.g., data analysis, app development, a two-day discussion club, developing a new software etc. The organizers will provide a few openly available datasets to the project authors, but developing projects using private datasets is also welcome. *Please send the project proposals and all the related questions to the mailing address: **brainhackwarsaw(a)gmail.com <brainhackwarsaw(a)gmail.com>* Also, please team up with us! Join our channel #brainhack-warsaw-2017 on Brainhack Slack project (https://brainhack-slack-invite.herokuapp.com) for the updates, and share your own ideas with us! We are looking forward to working with you at the AoN Brainhack Warsaw! *The AoN Brainhack Warsaw 2017 team:* Natalia Bielczyk, MSc, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands (natalia.bielczyk(a)gmail.com) Krzysztof Bielski, MSc, Faculty of Psychology, University of Warsaw, Warsaw, Poland Michał Bola, PhD, Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Warsaw, Poland Daniel Borek, MSc, Faculty of Physics, University of Warsaw, Warsaw, Poland, (dtborek@g <norbert.kopco(a)upjs.sk>mail.com) Beata Goźlińska, BSc, Faculty of Physics, University of Warsaw, Warsaw, Poland

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Post-doc positions in analyses of electron microscopic images from the brain (Kyoto U, Japan)
by Hidetoshi Urakubo Aug. 4, 2017

Aug. 4, 2017

Dear members of Comp-neuro mailing list, Integrated Systems Biology Lab at Kyoto University invites applications for research position for analyses of three-dimensional microscopic images and/or functional magnetic images (fMRI, for example) from the animal/human brain, with a strong motivation into systems/computational neuroscience. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Laboratory, Department of Systems Science, Graduate School of Informatics, Kyoto University Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== [[[ Post-doc positions in analyses of electron microscopic images from the brain ]]] We are seeking a highly motivated post-doc researcher, with a background in 3d/bio image processing and/or computational neuroscience. We are conducting research projects, “Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; up to 2019/3/31; http://brainminds.jp/en/ ; Phil. Trans. R. Soc. B 370: 20140310),” and “Brain Information Dynamics underlying Multi-area Interconnectivity and Parallel Processing (Grant-in-Aid for Scientific Research on Innovative Areas, MEXT, Japan; up to 2022/3/31).” Those projects aim to map the structure and function of neuronal circuits to understand the vast complexity of the human/marmoset/rodent brains. The candidate will work on the projects on 3D reconstitution of marmoset brain atlas from 3D microscopic images (from EM and/or Optical) under collaboration with experiment teams. For this position, a PhD or a MD degree, a proven track record of peer-reviewed publications, and solid communication skills in English and/or Japanese are essential. All projects are done with our tenure track and post-doc researchers of various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory also has a strong collaboration with other laboratories in Advanced Telecommunications Research Institute International (ATR) and RIKEN Brain Science Institute. [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer The position is open after October 1st 2016 (negotiable) Work location is Yoshidahonmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501 The contract is annually renewable up to the end of those projects based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto U regulations (Kyoto University’s regulations). [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Number of openings] One or two [Deadline for application] Nov 1st (will remain open if positions are not filled) [Send application to] Shin Ishii Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shin Ishii <ishii-secr [at] sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

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Postdoctoral positions in systems/computational neuroscience at the University of Pennsylvania
by Maria Geffen Aug. 3, 2017

Aug. 3, 2017

Postdoctoral positions in systems/computational neuroscience at the University of Pennsylvania The Geffen Laboratory of Auditory Coding at the University of Pennsylvania ( http://www.med.upenn.edu/hearing ) has an opening for an experimental and a computational neuroscience postdoctoral fellow positions. We are looking for energetic, talented, friendly, enthusiastic and creative researchers who have recently completed or are about to complete their PhD. Qualifications: experience in systems, computational or molecular neuroscience methods; excellent quantitative skills and proficiency or willingness to learn scientific programming, such as Matlab or python. Our laboratory seeks to deepen our understanding of neuronal circuits and dynamics of neuronal populations contributing to auditory perception and learning. We use state-of-the-art methods including two-photon imaging of Calcium activity in behaving, head-fixed rodents, large-scale electrophysiological chronic and acute recordings, optogenetic, pharmacological and behavioral techniques, in combination with computational modeling and theoretical work. Projects underway in the laboratory include: investigating intra-cortical and subcortical circuits supporting auditory adaptation to statistical regularities of sounds; identifying neuronal circuits for hearing in the presence of noise and in complex acoustic environments; unraveling neuronal circuits controlling learning-driven changes in auditory perception. The Geffen Laboratory is a creative, productive and collaborative group, and the postdoctoral fellows will have many opportunities to interact and collaborate with members of our and other laboratories across the Penn campus and beyond. We are part of the Hearing Research Center, the Computational neuroscience initiative (https://cni.upenn.edu/) and the Mahoney Institute of Neurosciences (http://www.med.upenn.edu/ins/) University of Pennsylvania is a To apply, please send a CV along with a cover letter briefly summarizing your research interests and pdfs of recent publications to mgeffen(a)med.upenn.edu <mailto:mgeffen@med.upenn.edu> .

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CBIC 2017 deadline extension (15.08.2017)
by Luis Martí Aug. 1, 2017

Aug. 1, 2017

Dear colleagues, Please disseminate to interested parties and apologies for multiple postings. All the best, LM XIII Brazilian Congress on Computational Intelligence (CBIC 2017) ----------------------------------------------------------------- Call for Papers - http://www.cbic2017.org On behalf of the organizing committee, it is our pleasure to invite you to the XIII Brazilian Congress on Computational Intelligence -XIII Congresso Brasileiro de Inteligência Computacional- (CBIC 2017) that will take place at the Institute of Computing of the Universidade Federal Fluminense in Niterói, Rio de Janeiro, Brazil from 30 October to 1 November 2017. CBIC 2017 aims to provide a high-level international forum for scientists, researchers, engineers, professionals, and educators to disseminate their latest research results and exchange views of the future research directions in the area of computational intelligence. In this edition of CBIC, we have the pleasure of having top-notch researchers as keynote speakers: - Marc Schoenauer (INRIA-Saclay/LRI/Université Paris-Saclay, France), - José Manuel Molina López (Universidad Carlos III de Madrid, Spain), and - José A. Lozano (University of the Basque Country and Basque Center for Applied Mathematics, Basque Country, Spain). Paper submissions should be 10-12 pages long, written in English, Portuguese or Spanish using the Springer LNCS style. Topics of interest of CBIC are organized in three tracks (but not limited to them): - Evolutionary, swarm and nature-inspired computation: genetic algorithms, evolutionary multi-objective optimization, estimation of distribution algorithms, genetic programming, artificial immune systems, swarm intelligence, collective intelligence, evolvable hardware, bio-inspired methods, etc. - Neural and machine learning systems: artificial neural networks, deep learning, machine learning, molecular and quantum computing, complex networks, reinforcement learning, hybrid systems, etc. - Fuzzy and stochastic reasoning: fuzzy systems, fuzzy control and decision making, uncertainty analysis, rough sets, fractals, multi-agent systems, game theory, etc. For submission instructions and online submission forms go to http://www.cbic2017.org/Submissions. Important dates --------------- - Workshop and tutorial proposal deadline: 15.07.2017 UTC-12:00 - Workshop and tutorial acceptance notification: 30.07.2017 - Paper submission deadline (extended): 15.08.2017 UTC-12:00 - Paper acceptance notification: 01.09. 2017 - Registration opens: 07.09.2017 - Early registration ends: 01.10. 2017 UTC-12:00 - CBIC 2017 conference: 30.10 — 01.112017 Looking forward to welcoming you in Niterói, Luis Martí - General Chair Nayat Sánchez-Pi - Program Chair

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5-year research fellow position in Neuromorphic Machine Learning
by Schmuker, Michael Aug. 1, 2017

Aug. 1, 2017

Applications are invited for a 5-year research position in the Biocomputation group at the University of Hertfordshire, under the supervision of Dr Michael Schmuker. This position offers the unique opportunity to explore the interdisciplinary field of neuromorphic machine learning, branching out into artificial intelligence, computational neuroscience, robotics and data science. We are looking for excellent candidates who are keen to explore neuro-inspired machine learning and artificial intelligence using specialised hardware systems such as SpiNNaker and BrainScaleS. For more details and to apply please see the advert at http://www.jobs.herts.ac.uk (reference 014832, deadline: 21st August 2017). — Dr Michael Schmuker Senior Lecturer (Assistant Professor) Biocomputation group University of Hertfordshire http://biomachinelearning.net

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PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium
by Georgios A. Keliris July 31, 2017

July 31, 2017

PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium The Faculty of Pharmaceutical, Biomedical and Veterinary is seeking to fill a full-time (100%) vacancy (m/f) in the Department of Biomedical Sciences (Bio-Imaging Lab) under the supervision of Prof. Georgios A. Keliris PhD position investigating the role of neuromodulation in learning and memory The goal of the project is to understand the neural mechanisms modulating learning and memory in rats. A multimodal approach and combination of state-of-the-art methods (MRI-imaging, electrophysiology, optogenetics and pharmacogenetics) will be used to uncover both the global network as well as specific cellular mechanisms. This approach will also be employed in animal models of neurodegenerative diseases such as Alzheimer’s Disease. Job description · You prepare a doctoral thesis in the field of neuroscience / biomedical imaging. · You publish scientific articles related to the research project of the assignment. Profile and requirements · You hold a master degree in neuroscience, biomedical sciences, or related fields. · You can submit outstanding academic results. · Students in the final year of their degree can also apply. · Foreign candidates are encouraged to apply. · Your academic qualities comply with the requirements stipulated in the university’s policy <https://www.uantwerp.be/en/about-uantwerp/mission-vision/three-core-tasks/r…>. · You are quality-oriented, conscientious, creative and cooperative. · You are fluent in English and have strong communication skills, both in writing and oral presentations · You are a team player · Strong background in one or more of: imaging, computational neuroscience, mathematics, programming (e.g. Matlab/Python/C/…) will be considered as a bonus We offer · a doctoral position for a period of one year, with the possibility of renewal for a further three-year period after positive evaluation; · the start date is as soon as possible · a dynamic and stimulating work environment. How to apply? · Applications should be submitted to Georgios.Keliris(a)uantwerpen.be <mailto:Georgios.Keliris@uantwerpen.be> and should include a copy of your CV and a cover letter. · A pre-selection will be made from amongst the submitted applications. · More information about the application and the position can be obtained from Prof. Georgios A. Keliris

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Postdoctoral position: cortical microcircuit dynamics
by Okun, Michael (Dr.) July 28, 2017

July 28, 2017

Applications are invited for a postdoctoral position to carry out research on cortical microcircuit dynamics. Research will involve analysis and modelling of cortical population recordings, focusing on changes occurring in the infraslow frequencies (0.01 - 1 Hz). The position is at the Centre for Systems Neuroscience, University of Leicester, UK. The project will involve advanced computational and experimental approaches - our experimental facilities include in vivo electrophysiology and 2-photon microscopy setups. Additional details on the PI and the Centre can be found at www2.le.ac.uk/departments/npb/people/mo178 and www.le.ac.uk/csn An ideal applicant would have a quantitative background and strong computational, programming and statistical skills (e.g. a PhD in computational/systems neuroscience, applied mathematics, computer science or related subjects). Previous experience in systems neuroscience research is a significant advantage. Start date is flexible and candidates will be considered on a rolling basis, however anyone applying before 14th of September is guaranteed to be considered. Funding for this position is available for (at least) 3 years. Leicester has a large student community thanks to its two universities, and is within easy reach (~1 hour by train) of London, Birmingham and Sheffield. Interested applicants are most welcome to contact Michael Okun (m.okun(a)le.ac.uk)

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PhD Scholarship on Model-based Cognitive Neuroscience
by Jelmer Borst July 27, 2017

July 27, 2017

PhD Scholarship on Model-based Cognitive Neuroscience The Institute of Artificial Intelligence of the University of Groningen offers a four-year scholarship for a PhD position on model-based cognitive neuroscience. Model-based cognitive neuroscience is the area of research that bridges the disciplines of computational cognitive modeling and cognitive neuroscience. Cognitive models – be it symbolic process models, mathematical models, or neural network models – are notoriously hard to evaluate based on behavioral measures alone. For that reason, researchers have turned to neuroscience (M/EEG, fMRI) as an additional source of information. At the same time, neuroimaging data is often so complex that it is difficult to fully account for with traditional analysis methods. As a solution, cognitive and mathematical models have been used within the analysis stream to interpret neural measures directly. This dual approach, using neuroscience to inform models and models to inform neuroimaging analyses, is very powerful, and has led to the emerging field of model-based cognitive neuroscience (see a recent special issue of the Journal of Mathematical Psychology for an introduction: Palmeri, Love, & Turner, 2017; Turner, Forstmann, Love, Palmeri, & van Maanen, 2017). The PhD position is available in the cognitive modeling group, under supervision of Jelmer Borst. The goal of our group is to better understand cognitive processes in the human mind. To achieve this, we combine computational modeling with fMRI, EEG, and MEG data, and also apply machine learning techniques to analyze neural data. Top candidates will be invited to write and develop their own research project within the general scope of this research line. The selection procedure for the scholarship is as follows: 1. Candidates apply by submitting a cover letter and CV (see below for details). 2. Based on the cover letters, several candidates will be invited to write a short research proposal within the topic of model-based neuroscience. 3. These candidates will be asked to present this proposal as part of the job interview. 4. After the selection, the candidate’s proposal will be further developed in collaboration with the PhD advisors: Jelmer Borst, Niels Taatgen, and Hedderik van Rijn. Qualifications Successful candidates will have completed a Master’s degree (or equivalent) in Cognitive Neuroscience, Artificial Intelligence, or another field of science relevant for the position. The ideal candidate has experience with M/EEG or fMRI and cognitive modeling, and has strong programming skills. Conditions The PhD student will be enrolled in the PhD Scholarship Programme and receive a scholarship of € 2027 per month (gross) from the University of Groningen for a period of four years. Date The preferred start date is November 1, 2017, but this can be postponed to February 1, 2018. Application Please see the attachment for details on the application procedure. The application deadline is August 30. For more information, contact Jelmer Borst (j.p.borst(a)rug.nl <mailto:j.p.borst@rug.nl>). http://www.rug.nl/education/phd-programmes/phd-scholarship-programme/phd-sc… <http://www.rug.nl/education/phd-programmes/phd-scholarship-programme/phd-sc…> -- Jelmer Borst Assistant Professor University of Groningen Dept. of Artificial Intelligence E: j.p.borst(a)rug.nl <mailto:j.p.borst@rug.nl> W: http://www.jelmerborst.nl/ <http://www.jelmerborst.nl/>

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Neuroinformatics 2017 in Kuala Lumpur, Malaysia, on August 20-21!
by INCF Congress July 27, 2017

July 27, 2017

Neuroinformatics 2017 will be held in Kuala Lumpur, Malaysia, on August 20-21! We have an exiting program lined up, you can see the full program and speakers here: http://neuroinformatics2017.org/program/ 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. More information: http://neuroinformatics2017.org/ Please spread this information to anyone you feel might be interested in attending. We look forward to seeing you in Kuala Lumpur! Best wishes, the INCF Secretariat *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 at www.incf.org <http://www.incf.org>*

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Human Brain Project: calls are open to join the project in the next project phase
by "Lührs, Anna" July 27, 2017

July 27, 2017

Dear colleagues, As most of you know, the Human Brain Project (HBP) is a Horizon2020 FET Flagship project with a duration of 10 years. One of the main objectives is to build and operate a European Scientific Research Infrastructure for brain research, cognitive neuroscience and other brain-inspired sciences. The HBP recently opened four Calls for Expression of Interest (CEoI), through which new partners can join the HBP Consortium in the next project phase, April 2018 - March 2020. One of the Calls is about "Co-designing the HBP digital infrastructure for advancing the understanding of multilevel brain organisation”. The available budget of EUR 1,839,424.00 will be split between two selected proposals. The submission deadline for this and the others calls is 30 September 2017, 17:00 CEST. More information about the call mentioned above: http://opencalls.humanbrainproject.eu/forms/16/overview <http://opencalls.humanbrainproject.eu/forms/16/overview> The overview of all open calls is published here: https://www.humanbrainproject.eu/en/collaborate/open-calls/ <https://www.humanbrainproject.eu/en/collaborate/open-calls/> Questions regarding the CEoI about co-designing the HBP infrastructure can be sent to: codesigning-hbp(a)opencalls.humanbrainproject.eu <mailto:codesigning-hbp@opencalls.humanbrainproject.eu> Best regards, Anna Lührs Simulation Lab Neuroscience Division HPC in Neuroscience Phone: +49 2461 61 8931 Jülich Supercomputing Centre E-mail: a.luehrs(a)fz-juelich.de Institute for Advanced Simulation http://www.fz-juelich.de/ias/jsc Forschungszentrum Jülich GmbH ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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One PhD and one PostDoc Position in Theoretical Neuroscience at the Georg-August University of Göttingen available
by Tetzlaff, Christian July 26, 2017

July 26, 2017

The research groups of Prof. Florentin Wörgötter and Dr. Christian Tetzlaff offer one fully-funded PhD and one fully-funded PostDoc position for 4 years. Both groups are based in the Faculty of Physics of the University of Göttingen and work interdisciplinary on the field of self-organizing neural networks with focus on learning, plasticity, and memory. The research goals of both positions are to develop and analyze new theoretical models of learning-related molecular dynamics in dendritic spines. These projects will be in direct cooperation with experimental groups from the Göttingen Campus (e.g., together with the labs of Prof. Silvio Rizzoli and Prof. Stefan Hell) and they are part of a new established collaborative research center (SFB 1286 - "Quantitative Synaptology") at the University of Göttingen, Medical Center Göttingen, Max Planck Institute for Dynamics and Self-Organization, and Max Planck Institute for Biophysical Chemistry. The PhD student will have the opportunity to become member of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences. Ideal candidates have experience and interest for mathematical and computational methods as well as for fundamental cell biology. The closing date is 30th of September 2017. Start date is as soon as possible. Applications should be send electronically (preferably one pdf-document) to: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de> and worgott(a)gwdg.de<mailto:worgott@gwdg.de>

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PhD and Postdoc positions in cognitive neuroscience in Bordeaux
by Alexandre Zenon July 25, 2017

July 25, 2017

PhD and Postdoc positions in Cognitive Neuroscience in Bordeaux, France Applications are invited for a PhD and a post-doctoral position in cognitive neuroscience at the INCIA, Bordeaux, France. The 3-year positions are funded by the Junior Chair from IDEX Bordeaux. The successful candidates will work on the theoretical development and experimental validation of a neurobiological model of cognitive effort and cognitive fatigue, based on information theory. This work will involve behavioural experiments, neuroimaging and computational modelling. Requirements: Postdoctoral applicants must hold a PhD in neuroscience with strong experience in computational modelling and/or neuroimaging. PhD applicants must hold a Master's degree in a neuroscience-related field (e.g. medicine, biology, psychology, ...). Previous experience in research and data analysis will be valued. Expected start date: Autumn 2017 Send applications with CV, 2 letters of recommendation and motivation letter to alexandre.zenon(a)u-bordeaux.fr<mailto:alexandre.zenon@u-bordeaux.fr>

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Please post: postdoctoral fellowship available
by Andy Edwards July 25, 2017

July 25, 2017

Postdoctoral fellowship in computational neuroscience: Simula, Oslo Simula Research Laboratory is pleased to offer a 4-year postdoctoral fellowship in computational modelling of multiscale processes in neuroplasticity. Please see the full position description and requirements at our applications page: https://www.simula.no/about/job/postdoctoral-fellowship-neur al-systems-modeling Andy Edwards Senior Scientist Simula Research Laboratory

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MBCC 2017: ICCV Workshop on Mutual Benefits of Cognitive and Computer Vision - Call For Papers
by Christopher Kanan July 23, 2017

July 23, 2017

## CALL FOR PAPERS (CfP) ## ICCV International Workshop on ‘Mutual Benefits of Cognitive and Computer Vision (MBCC)’ 29 October 2017 Venice, Italy (https://sites.google.com/site/mbcc2017w/home) _____________ Aim and Scope As researchers working at the intersection of biological and machine vision, we have noticed an increasing interest in both communities to understand and improve on each other’s insights. Recent advances in machine learning (especially deep learning) have led to unprecedented improvements in computer vision. These deep learning algorithms have revolutionized computer vision, and now rival humans at some narrowly defined tasks such as object recognition (e.g., the ImageNet Large Scale Visual Recognition Challenge). In spite of these advances, the existence of adversarial images (some of which have perturbations imperceptible to humans) and rather poor generalizability across datasets point out the flaws present in these networks. On the other hand, the human visual system remains highly efficient at solving real-world tasks and capable of solving many visual tasks. We believe that the time is ripe to have extended discussions and interactions between researchers from both fields in order to steer future research in more fruitful directions. This workshop will compare human vision to state-of-the-art machine perception methods, with specific emphasis on deep learning models and architectures. Our workshop will address many important questions. They include: 1) What are the representational differences between human and machine perception? 2) What makes human vision so effective? and 3) What can we learn from human vision research? Addressing these questions is not as difficult as previously thought due to technological advancements in both computational science and neuroscience. We can now measure human behavior precisely and collect huge amounts of neurophysiological data using EEG and fMRI. This places us in a unique position to compare state-of-the-art computer vision models and human behavioral/neural data, which was impossible to do a few years ago. However, this advantage also comes with its own set of problems: Which task/metric to use for comparison? What are the representational similarities? How different are the computations in a biological visual system when compared to an artificial vision system? How does human vision achieve invariance? This workshop is a great opportunity for researchers working on human and/or machine perception to come together and discuss plausible solutions to some of the aforementioned problems. ______ Topics for submission include but are not limited to: - architectures for processing visual information in the human brain and computer vision (e.g. feedforward vs feedback, shallow vs deep networks, residual, recurrent, etc) - limitations of existing computer vision/deep learning systems compared to human vision - learning rules employed in computer vision and by the brain (e.g. unsupervised/semi-supervised learning, Hebb rule, Spike timing dependent plasticity) - representations/features in humans and computer vision - tasks/metrics to compare human and computer vision (e.g. eye fixation, reaction time, rapid categorization, visual search) - new benchmarks (e.g. datasets) - generalizability of machine representation to other tasks - new techniques to measure and analyze human psychophysics and neural signals - the problem on invariant learning - conducting large-scale behavioral and physiological experiments (e.g., fMRI, cell recording) ______________ Invited Speakers We have invited leading researchers from both Cognitive Science and Computer Vision to inspire discussions and collaborations. 1. Michael Tarr, Carnegie Mellon University 2. Davide Zoccolan, International School for Advanced Studies (SISSA), Trieste, Italy ___________________ Submission Guidelines We are inviting both full paper (5-8 pages) and extended abstract (2-4 pages) submissions to the workshop. Submitted papers must follow the ICCV paper format and guidelines (available on the ICCV 2017 webpage). All submissions will be handled via the CMT website: https://cmt3.research.microsoft.com/MBCC2017/ Full papers: The submitted papers should have a maximum length of 8 pages, including figures and tables; additional pages must contain only cited references. The review will be double-blind. Please make sure all authors or references to authors are anonymized. Full paper submissions must not have been published before. Extended abstracts: We invite submissions of extended abstracts of ongoing or already published work as well as demos or prototype systems (ICCV format). Authors are given the opportunity to present their work to the right audience. The review will be single-blind. ______________ Important Dates Full Paper submission: August 1st, 2017 Extended Abstract submission: August 5th, 2017 Notification of acceptance: August 15th, 2017 Camera-ready paper due: September 30th, 2017 Workshop: October 29th, 2017 (Morning Session) _____________________________ Workshop Organizing Committee Ali Borji, University of Central Florida Pramod RT, Indian Institute of Science Elissa Aminoff, Fordham University Christopher Kanan, Rochester Institute of Technology _______ Contact mbccw.iccv2017(a)gmail.com

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BCBT2017 Summer School. Registration deadline August 1st!
by BCBT, Bústia Compartida July 23, 2017

July 23, 2017

*Registration deadline postponed: 1 August 2017* For more information on how to apply, please go to BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> ------------------------------ ------------------------------------------------------------------ *Barcelona Cognition, Brain and Technology Summer School -BCBT2017* University Pompeu Fabra, Barcelona, Spain. 28 August - 8 September 2017 BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> Join us for the 10th edition of *"Barcelona Cognition, Brain and Technology summer school - BCBT2017 *" be held 28 August-8 September 2017 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). This year the school is supported by the ERC project CDAC <http://specs.upf.edu/projects/2810> that investigates the role of consciousness in adaptive behavior combining empirical, computational and robot-based approach. BCBT is also supported by EPISENSE <https://www.humanbrainproject.eu/sp3>, a subproject of the Human Brain Project <https://www.humanbrainproject.eu/>(HBP) that investigates brain mechanisms of perception and memory. This is the 10th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures <https://www.youtube.com/user/ConvergentScienceNw/playlists> are available online with the BCBT *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2017 edition, we plan a *1st week* of the school addressing *Neural basis of Consciousness *while the *2nd week* will include presentations aimed at the investigation of *Evolutionary and Developmental aspects of nervous systems and behavior.* Friday 8 is reserved for the presentation of the student projects to which everybody is invited. *BCBT is organized by* Paul Verschure, ICREA and University Pompeu Fabra Barcelona, ES, Tony Prescott, Sheffield University, UK Anna Mura, University Pompeu Fabra Barcelona, ES

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NeuroMorpho.Org v7.2 released July 19th, 2017
by NeuroMorpho Administrator July 21, 2017

July 21, 2017

Dear colleagues, We’re pleased to announce the July 19, 2017 release of Version 7.2 of NeuroMorpho.Org<http://neuromorpho.org/>, adding 7721 reconstructions from 83 new datasets. The repository now provides access to 70,025 cells and passed 7 million downloads in 163 countries. Please visit the What’s new page<http://neuromorpho.org/WIN.jsp> for details on the added data and other updates. The literature coverage was also updated to include publications through June 2017. We are continuously grateful to all the data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Director, Center for Neural Informatics, Structures, & Plasticity<http://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of “Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>” (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

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8th NeuralEnsemble CodeJam workshop
by Andrew Davison July 21, 2017

July 21, 2017

Dear colleagues, You are invited to participate in the 8th NeuralEnsemble CodeJam workshop, which will take place 13th-15th September 2017 in Lausanne, Switzerland. http://neuralensemble.org/meetings/CodeJam8/ The goal of the CodeJam is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics, by bringing together researchers, students and engineers to share ideas, present their work, and write code together. Mornings are dedicated to invited and contributed talks, leaving the afternoons free for discussions, tutorials and code sprints. CodeJam #8 is sponsored by the Human Brain Project Best regards, Andrew -- Andrew Davison, PhD Unité de Neurosciences, Information et Complexité (UNIC) Centre National de la Recherche Scientifique 1, avenue de la Terrasse 91198 Gif sur Yvette France Tel: +33 1 69 82 34 51 http://www.andrewdavison.info/

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PhD studentship in Computational Neuroscience/Machine Learning
by Vassilis Cutsuridis July 20, 2017

July 20, 2017

PhD Position in Computational Neuroscience/Machine learning MLearn Research Group School of Computer Science University of Lincoln UK Applications are invited for a PhD position in the MLearn Research Group at the University of Lincoln. Projects involve the development and simulation of models of neurons and neuronal networks hippocampal memory functions (Cutsuridis V, et al. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. *Hippocampus*, 20(3): 423-446) <http://vassiliscutsuridis.com/docs/Journal_papers/CutCobGraHippo2010.pdf> and/or applications of machine learning (deep learning) techniques for the analysis of data. A description of our research interests and a list of publications can be found on our webpage (http://mlearn.lincoln.ac.uk/) Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). This studentship is only open to UK and EU students. The ideal candidate should be highly motivated, technically skilled, a team player and driven to push forward the development of the next generation of deep associative memory neural-networks. Your written and spoken English skills should be excellent. As a PhD student, you may also have the opportunity to teach as a demonstrator in the School of Computer Science. Research in Computer Science at the University of Lincoln has been recognised as internationally excellent and world leading. The School of Computer Science provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Lincoln, two hours north of London. Please contact Dr Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) or Prof. Stefanos Kollias (skollias(a)lincoln.ac.uk) for informal enquiries. If you’re interested in this position and you would like to apply, please send your CV, statement of research interests, three reference letters and a photo to Dr. Vassilis Cutsuridis: vcutsuridis(a)lincoln.ac.uk Applications will be assessed on a rolling basis, so please apply as soon as possible. Kind regards, Vassilis --- Dr Vassilis Cutsuridis School of Computer Science University of Lincoln Lincoln LN6 7TS U.K. Tel: +44 (0) 1522 83 5107 Email: vcutsuridis(a)lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal Web: http://www.vassiliscutsuridis.com/

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Neuromodulation of Neural Microcircuits NM2 Conference 2017
by Ramaswamy Srikanth July 20, 2017

July 20, 2017

We are delighted to announce the upcoming <https://nm2.epfl.ch> Neuromodulation of Neural Microcircuits (<https://nm2.epfl.ch>NM2) Conference 2017<https://nm2.epfl.ch>. The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: • Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits • Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease • Integrate knowledge to build a unifying view of the neuromodulation of different brain regions • Inform and attract new talent to drive forward neuromodulation research • Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program<https://nm2.epfl.ch/page-145616-en.html> with a stimulating lineup of speakers<https://nm2.epfl.ch/page-145624-en.html>! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration<https://nm2.epfl.ch/page-145625-en.html> includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to apply for several travel awards<https://nm2.epfl.ch/page-146294-en.html> by submitting poster abstracts<https://nm2.epfl.ch/page-146294-en.html>. Some abstracts will be selected for flash talks. Early bird registration is open until July 31st, 2017. Abstract submission is open until August 13th, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten [cid:CCBC7D9D-9041-4146-88BA-CC744BDBB811@epfl.ch]

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PhD scholarship "Deep Learning in clinical neuroimaging", Charité Berlin
by Kerstin Ritter July 20, 2017

July 20, 2017

Dear all, I am offering a PhD scholarship in "Deep Learning in clinical neuroimaging" at Charite Berlin, starting in October 2017 (initially for 2 years). See announcement below: _________________________________________ Deep Learning in clinical neuroimaging PhD scholarship (starting October 2017, initially for 2 years) At the Berlin Center for Advanced Neuroimaging and Bernstein Center for Computational Neuroscience (Charite), we are looking for a motivated and highly talented PhD student for various research questions within the interdisciplinary field of deep learning and clinical neuroimaging. In particular, we employ convolutional neural networks for finding new representations from neuroimaging data in order to predict disease conversion and future clinical disability in neurological as well as psychiatric diseases. Whereas previous disease decoding approaches mostly relied on expert-based extraction of features in combination with standard classification algorithms and thus strongly depend on the choice of data representation, convolutional networks are capable of learning hierarchical information directly from raw imaging data. By this, they have a great potential for finding unexpected and latent data characteristics and might perform as a real “second reader”. A major focus will be on visualization techniques to make the learned content of convolutional neural networks visible. Requirements for the PhD student: - Very good degree in computer science, mathematics, physics, psychology, computational neuroscience or related subject. - Very good programming skills (e.g. Python) - Experience in machine learning - Good writing and communication skills (in English) Please send your application (motivation+CV) in one pdf-file (in English or German) to: Dr. Kerstin Ritter Berlin Center for Advanced Neuroimaging, Bernstein-Zentrum für Computational Neuroscience Charité - Universitätsmedizin Berlin Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin Tel.: + 49 30 450 539364; Email: kerstin.ritter(a)bccn-berlin.de _________________________________________________ Thank you very much! Best wishes, Kerstin Ritter _______________________________________________ Dr. rer. nat. Kerstin Ritter, nee Hackmack Bernstein Center for Computational Neuroscience Berlin Center for Advanced Neuroimaging Charité - Universitätsmedizin Berlin Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin

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2nd Announcement: Computational Neuroscience in Africa: isiCN IMBIZO 18
by Tim Vogels July 19, 2017

July 19, 2017

Dear all, we would like to draw your attention to the IBRO SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2018 Get to know (and help to build) African Computational and Theoretical Neuroscience. from 7 - 28 January 2018, Muizenberg Beach, Cape Town, South Africa http://isicni.gatsby.ucl.ac.uk <http://isicni.gatsby.ucl.ac.uk/> Application deadline: 15th August 2017 The #isiCNI2018 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and PhD level students though Honours or Postdoctoral students may also apply. Students should sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR * Generous scholarships and travel stipends are available based on merit and need * Application deadline: 15th August 2017 * Notification of results: End of September 2017 Information and application http://isicni.gatsby.ucl.ac.uk <http://isicni.gatsby.ucl.ac.uk/> Application form http://tinyurl.com/yc6zbvpo <http://tinyurl.com/yc6zbvpo> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Larry Abbott - Columbia University Adrienne Fairhall - Washington University Surya Ganguli* - Stanford University Peter Latham - University College London Blake Richards - University of Toronto Timothy Lillicrap - Google DeepMind Mate Lengyel - University of CambridgeJoseph Raimondo - University of Cape Town Yiota Poirazi - Foundation for Research and Technology - Hellas Srikanth Ramaswamy - EPFL Lausanne Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University Alex Antrobus (Gatsby Unit, UCL) Athanasia Papoutsi (Foundation for Research and Technology - Hellas) William Podladski (University of Oxford ) Friedemann Zenke (Stanford University / University of Oxford) and others, to be announced *not confirmed DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org <https://www.simonsfoundation.org/>) and IBRO, the International Brain Research Organisation (http://ibro.info <http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa <http://trendinafrica.org/>, CNCB <http://www.cncb.ox.ac.uk/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Aspects of Neuroscience - Hackathon: Call for proposals (01.08) - Warsaw, 18-19th November
by Daniel Borek July 19, 2017

July 19, 2017

On the weekend of 18-19th November, the first edition of Aspects of Neuroscience - Hackathon will take place. During this two-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, to share the knowledge on data mining and brain research, but also to share the data and promote open science. We provide with a list of proposed open-access datasets, but we also encourage participants to share their own data during the event. At the moment, we opened the call for project proposals. The proposals can include various forms of a group activity, e.g., data analysis, app development, a discussion club on a particular topic, developing a software etc. Each proposal should indicate: [1] a title and abstract for the project; [2] a list of 1-5 key papers summarising the subject (which the participants should become familiar with before starting the project); [3] a list of requirements for taking part in the project (education level / English level / programming language required); [4] a maximum number of participants [5] a name of an author of the project, and a name of a senior researcher which will supervise the project during the Hackathon [6] what can the participant gain from the project? [7] an information on whether or not there is a plan for extending this work to a paper in case the results are promising An exemplary proposal is in link https://www.dropbox.com/s/ojui2h0wcz82mgy/EXEMPLARYPROPOSAL.pdf?dl=0 Location: University of Warsaw (Further information will be provided soon) Deadline for project proposals: 01.08.2017 Announcement of projects: 15.08.2017 Deadline for registration of participants: 01.11.2017 Please send your proposals to the conference email: neuroaspects(a)uw.edu.pl Proposals will be evaluated by members of our scientific committee before 15.08.2017 Main organizers: Michał Bola, PhD (Laboratory of Brain Imaging, Nencki Institute of Experimental Biology PAS, Warsaw, Poland) Natalia Bielczyk, MSc (Statistical Imaging Neuroscience Research Group, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands) Daniel Borek, MSc (Faculty of Physics, University of Warsaw, Warsaw, Poland) Beata Goźlińska (Faculty of Physics, University of Warsaw, Warsaw, Poland) LIST OF EXAMPLARY OPEN ACCESS DATASETS: [1] calcium imaging datasets: Karl Svoboda https://crcns.org/data-sets/ssc [2] fMRI + DTI: Human Connectome Project http://www. humanconnectome.org/data/ [3] gene expression open-access database: https://www.ncbi.nlm.nih.gov/geo/ + information on gene function: www.uniprot.org [4] EEG, MRI & behavioural data from N=644 children & adolescents: http://biorxiv.org/content/early/2017/06/13/149369 [5] EEG data: http://neurotycho.org/ [6] Research data supporting "Brain connectivity during propofol sedation https://www.repository.cam.ac.uk/handle/1810/252736

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PhD positions on Translational Neurosciences and Neurotechnologies - IIT@UniFe
by Alessandro D'Ausilio July 19, 2017

July 19, 2017

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) at the Istituto Italiano di Tecnologia (IIT) is looking for up to 4 highly motivated, full-time PhD students to work in the core research areas of the Center. At the CTNSC we focus our efforts in two integrated directions. On one side we are studying how the brain builds communicative and linguistic representations. On the other side we are designing new brain interfaces, specifically conceived for human use, to record and computationally decode neural signals. The CTNSC is hosted by the Section of Physiology of the University of Ferrara, one of the oldest in Italy (founded in 1391). In terms of its size, facilities, quality and quantity of education and research, the university is a point of excellence within Italy. The PhD student will work in Ferrara, in an international and multidisciplinary team including biomedical engineers, biologists, computer scientists, psychologists and medical doctors. The PhD positions will cover the following core areas of CTNSC: A01 Improving performance and biocompatibility of electrode arrays for brain-computer interfaces A02 Functional investigation of innovative neural interfaces A03 Investigation of sensorimotor functions in animal models (NH primates and rats) A04 Machine learning applications to multimodal brain and speech signals A05 Human neurophysiology of speech and sensorimotor communication A06 Cortical recordings in human patients during awake Neurosurgery A07 Hardware and software development for innovative exploration of brain signals DEADLINE: 1st AUGUST 2017 CTNSC Info: https://www.iit.it/centers/ctnsc-unife PhD page [ITA]: http://www.unife.it/studenti/dottorato/corsi/riforma/neuroscienze How to participate to the selection [ITA/ENG]: http://www.unife.it/studenti/dottorato/modulistica/Guidaconcorso.pdf

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Postdoc + 2 PhD students in limbo, SISSA, Trieste
by Alessandro Treves July 18, 2017

July 18, 2017

A postdoc is sought to join a HFSP-funded project to study analog cortical computations in linguistic processes. A collaboration with Naama Friedmann (TAU) and Remi Monasson (ENS). Ideal candidates have a flair for (some) language, come from a background we have not thought of and seek to get to places where they have not been, at the crossroads between neuroscience, complex systems, and poetry. Two PhD students from outside Italy are sought to later join as ESRs the EU Training Network M-GATE, on hippocampal memory functions. A network of 7 institutes + 4 companies, coordinated by Francesco Battaglia (Nijmegen). Ideal candidates, who can be of any nationality but must not have spent much time in Italy in the last 3 years, enjoy analytical, mathematical and computational excursions when in search of fundamental network understanding. Deadline August 31st, 2017. Formal applications eventually needed, but please see first obsolete limbo information http://people.sissa.it/~ale/limbo.html and contact ale(a)sissa.it well in advance. -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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CNS 2017 workshop:
by s.a.vangils＠utwente.nl July 17, 2017

July 17, 2017

Please post: Dear all, We cordially invite you to attend our workshop at CNS2017, Thursday July 20: “Recent Developments in Epilepsy Modelling” Epilepsy is a chronic disease of the CNS characterized by the occurrence of seizures. It affects ~1% of the people worldwide, and ⅓ of the affected population does not respond to anticonvulsant drugs. This limited success of anticonvulsant treatment is, in part, due to our limited understanding of the underlying mechanisms that are responsible for the pathological behavior. Translational research can play an important role in the unravelling of the mechanisms that may be responsible. As more and better experimental data become available, it is important to be able to integrate these data with modeling approaches in order to test hypotheses and to improve insight and produce more individualized models. In this workshop a number of active researchers in the field come together to discuss their latest results ranging from computational models on different scales to statistical methods to evaluate the use of biomarkers. Speakers: Victor Jirsa, Fabrice Wendling, Wytse Wadman, Geertjan Huiskamp, Jurgen Hebbink, Bill Lytton, Peter Taylor, Stiliyan Kalitzin, Marc Goodfellow and Stephan van Gils. For details visit: http://wwwhome.math.utwente.nl/%7Egilssa/cns2017/?<http://wwwhome.math.utwente.nl/~gilssa/cns2017/?> With kind regards, Wim van Drongelen en Stephan van Gils Prof. Dr. S.A. (Stephan) van Gils Department of Applied Mathematics University of Twente P.O. Box 217 7500 AE Enschede Chair: Applied Analysis +31-53-4894272 (tel Secretary) +31-53-4893410 (tel Office)

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Review article: Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role
by Masoud Ghodrati July 17, 2017

July 17, 2017

Dear vision scientists, We would like to draw your attention to our recent review paper entitled "Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role <http://www.sciencedirect.com/science/article/pii/S0301008215300757>" published in Progress in Neurobiology, Jun 2017. We hope that this review can link different findings about the LGN function and opens new research avenues in the field. *Recent evidence shows that lateral geniculate nucleus (LGN) has more sophisticated functions than a mere relaying hub. We provide a rather unfiltered and eclectic review of the LGN functions, with some focus on its computational role, as well as its role in higher level cognitive process (specifically higher level vision). **In particular, we argue that the LGN has a variety of complex nonlinear behaviors (perhaps the most interesting nonlinearity involves feedback from cortex). We suggest further development of feedback models of high-level vision considering the LGN function. Because of LGN’s contribution in temporal aspects of object processing, modeling LGN function particularly becomes more important when considering non-stationary stimuli (such as videos). Predictive coding and expectation coding models are in this direction.* Actual link: http://www.sciencedirect.com/science/article/pii/S0301008215300757 Here is authors’ free PDF version of the manuscript: https://goo.gl/KCmUR7 Best -- *_____________________________________________________________* Masoud Ghodrati, Department of Physiology, Monash University, Melbourne, Australia. E-mails: masoud.ghodrati(a)monash.edu Web pages (Personal) : https://sites.google.com/site/masoudghodrati1985/ *_____________________________________________________________*

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Open postdoctoral position in human intracranial electrophysiology: Blanchette Rockefeller Neurosciences Institute, West Virginia University
by Shuo Wang July 17, 2017

July 17, 2017

*** Sorry for multiple postings*** We invite applicants with strong motivation in investigating the neural mechanisms of face processing and visual attention/saliency to apply for a postdoctoral position at the Blanchette Rockefeller Neurosciences Institute (BRNI), West Virginia University. The applicant will work on intracranial single-unit recordings from human subjects, investigating questions related to face processing and/or visual attention and visual saliency. This will include experimental work with patients (electrophysiology and behavior), data processing and analysis, spike-train analysis, and experimental design. The applicant will have access to state-of-the art equipment, facilities and analytical methods and this research will be in a highly collaborative environment. The applicant will not only collaborate with investigators at the BRNI, but also be part of an established team of investigators at both Cedars-Sinai Medical Center (Dr. Ueli Rutishauser) and the California Institute of Technology (Dr. Ralph Adolphs), with ample opportunity to learn new techniques and methods. Candidates should have a recent PhD in systems, cognitive, or computational neuroscience with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, statistics and electrophysiology skills are essential. Excellent written and oral English communication skills are required, including the ability to communicate with patients and their families. Individuals with previous human intracranial EEG experience and/or macaque single neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Interested applicants should send a CV, including a list of publications, a brief description of research interests and analysis skills, and contact information for 2-3 reference letters to Shuo Wang (shuo.wang(a)mail.wvu.edu) Informal inquiries are welcome. Further information about the lab can be found at https://sites.google.com/site/shuowangsocialneuroscience/.

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Methods of Information Theory workshop at CNS*2017
by Joseph Lizier July 16, 2017

July 16, 2017

Dear all, Please note that the final schedule and speaker abstracts are available for the following workshop at CNS*2017 in Antwerp this week: Workshop on Methods of Information Theory in Computational Neuroscience 19 and 20 July 2017 Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience. A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited. The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work. The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience. Program: Wed 19 July (Room C.101): * 09:00 Raul Vicente, University of Tartu -- "Estimating and applying partial information decomposition to complex systems" * 09:45 Jil Meier, Delft University of Technology -- "The epidemic spreading model and the direction of information flow in brain networks" * 11:00 Karl Friston, University College London -- "Active inference and artificial curiosity" * 11:45 Taro Toyoizumi, RIKEN Brain Science Institute -- "A Local Learning Rule for Independent Component Analysis" * 14:00 Fleur Zeldenrust, Radboud Universiteit -- "Estimating the information extracted by a single spiking neuron from a continuous input time series" * 14:30 Pedro Martinez Mediano, Imperial College London -- "Integrated Information Theory Without the Hot Air" * 15:00 Mehrdad Salmasi, Ludwig-Maximilians-University Munich "Information rate of a synapse during short-term depression" * 16:00 Tatjana Tchumatchenko, Max Planck Institute for Brain Research, Frankfurt -- "Information coding of mean and variance modulating signals in cortical neurons" * 16:45 Renaud Jolivet, University of Geneva -- "Energy-efficient information transfer at synapses" * 17:30 Rodrigo Cofre, University of Geneva and Universidad de Valparaíso -- "Information Entropy Production and Large deviations of Maximum Entropy Processes from Spike Trains" Thu 20 July (Room C.101): * 09:00 Lionel Barnett, University of Sussex -- "Information Transfer in Continuous and Discrete Time" * 09:45 Joseph T. Lizier, The University of Sydney "An estimator for transfer entropy between spike trains" * 11:00 Viola Priesemann, Max Planck Institute for Dynamics and Self-organization, Goettingen -- "Quantifying Information Storage and Modification in Neural Recordings" * 11:45 Demain Battaglia, Aix-Marseille University -- "Discrete information processing states in anesthetized rat recordings" * 14:00 Selin Aviyente, Michigan State University "Directed Information: Application to EEG during cognitive control" * 14:45 Adrià Tauste, Universitat Pompeu Fabra -- "Directed information flow within the thalamo-cortical network" * 16:00 Daniele Marinazzo, University of Ghent -- "Synergy and redundancy in dynamical systems: towards a practical and operative definition" * 16:45 Lubomir Kostal, Academy of Sciences of the Czech Republic -- "Reference frame independence as a constraint on the mutual information decomposition" * 17:30 Robin Ince, University of Glasgow -- "Quantifying representational interactions in neuroimaging and electrophysiological data using information theory" Organisers: Joseph T. Lizier -- chair, The University of Sydney Viola Priesemann, Max Planck Institute for Dynamics and Self-organisation Justin Dauwels, Nanyang Technological University Taro Toyoizumi, RIKEN Brain Science Institute Alexander G. Dimitrov, Washington State University Lubomir Kostal, Academy of Sciences of the Czech Republic Michael Wibral, Goethe University, Frankfurt

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CNS2017 workshop on "Neuronal Oscillations: mechanisms and functionality"
by Frances Skinner July 14, 2017

July 14, 2017

Please post: Dear all, We invite you to attend our workshop an CNS2017 tthis year. "Neurona*l Oscillations: mechanisms and functionality"* Oscillations at various frequency ranges have been observed in several brain structures (hippocampus, entorhinal cortex, olfactory bulb and others). They are believed to be important for cognitive functions such as learning, memory, navigation and attention. These rhythms have been studied at the single cell level, as the result of the interaction of a neuron’s intrinsic properties, at the network level, as the result of the interaction between the participating neurons and neuronal populations in a given brain region, and at higher levels of organization involving several of these regions. Recent advances in this field have benefited from the interaction between experiment and theory, and models with varying levels of detail. The purpose of this workshop is to bring together modelers, experimentalists and theorists with the goal of sharing and discussing their current results and ideas on the underlying mechanisms that govern the generation of these rhythms at various levels of organization, and their functional implications. An additional goal is to discuss what we mean by an explanation in the context of this workshop. To this end, speakers will be encouraged to address this issue from the perspective of Aristotle's four causes (efficient, material, formal and final causes) <http://plato.stanford.edu/archives/spr2015/entries/aristotle-causality/>. Please see 'What is computational neuroscience? (XVI) What is an explanation?' <http://romainbrette.fr/2013/06/>. Speakers: Day 1: F Skinner, J White, M Bezaire, V Cutsuridis, J Guzman, L Rubchinsky, D Levenstein, F Battaglia, M Bartos, J Mejias Day 2: C. Borgers, C Canavier, M Cunningham, J Lefebvre, A Peyrache, H Rotstein, B Pesaran, A Saudargiene For more details, please visit http://vassiliscutsuridis.com/workshop/CNS2017web.htm Thank you, Frances (on behalf of the organizers) -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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CNS meeting 2017 workshop on "Recent methods and analyses for neuronal population recordings"
by Valentina Pasquale July 14, 2017

July 14, 2017

Dear all, I would like to remind you about the WORKSHOP "RECENT METHODS AND ANALYSES FOR LARGE-SCALE NEURONAL POPULATION RECORDINGS" | JULY 19TH-20TH IN ANTWERP @ CNS MEETING 2017 http://www.computational-neuroscience-of-sensory-systems.org/workshop-on-re… Abstract: Understanding how assemblies of neurons encode information requires recording large populations of cells in the brain. In recent years, progress in population calcium imaging and multichannel electrophysiology opened the possibility to record from hundreds or even thousands of neurons simultaneously. While these techniques offer unprecedented chances to monitor large neural circuits, they also push for the design of new algorithms to gather and process information from such high-dimensional datasets. The workshop "Recent methods and analyses for large-scale neuronal population recordings", which will be held on July 19th-20th in Antwerp at the CNS meeting 2017, will gather leading experimentalists and theoreticians to discuss latest computational methods and analyses used to process such large-scale neuronal population recordings, both in vivo and in vitro. Focusing on high-density electrophysiology and calcium imaging, it will review recent advances in neuroinformatics research, including spike sorting techniques and characterization of neural assemblies' spatio-temporal activity. Organizers: Valentina Pasquale (IIT), Michela Chiappalone (IIT), Pierre Yger (Institut de la Vision, France) Speakers: July 19th * Matthias Hennig (University of Edinburgh, Scotland) * Felix Franke (ETH Zurich, Switzerland) * Nick Steinmetz (University College London, UK) * Pierre Yger (Institut de la Vision, France) * Thomas Deneux (UNIC, CNRS, France) * Marius Pachitariu (University College London, UK) * Stephen J. Eglen (University of Cambridge, UK) * Adrien Peyrache (McGill University, Canada) July 20th * George Dimitriadis (Sainsbury Welcome Centre, UK) * Gaute Einevoll (NMBU, Norway) * Yannick Bornat (IMS Bordeaux, France) * Ulisse Ferrari (Institut de la Vision, France) * Sonja Grün (Forschungszentrum Jülich, Germany) * Valentina Pasquale (Istituto Italiano di Tecnologia, Italy) * Arno Onken (Istituto Italiano di Tecnologia, Italy) * Paolo Bonifazi (Ikerbasque, Bilbao, Spain) For further information, please visit: http://www.computational-neuroscience-of-sensory-systems.org/workshop-on-re… Best, Valentina Pasquale valentina.pasquale(a)iit.it<mailto:valentina.pasquale@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Optical Approaches to Brain Function Lab Via Morego, 30 16163 Genova t: +39 010 71781 475 f: +39 010 71781 230 www.iit.it<http://www.iit.it/>

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Open PhD position computational neuroscienceB
by Claudius Gros July 12, 2017

July 12, 2017

I would like to brink your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, dynamical systems. Application deadline: August 11, 2017 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals for the sensori-motor loop, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including the generation of transient state dynamics through short-term synaptic plasticity, the study of the stationarity principle for statistical learning and/or the generation of motor primitives through self-organized embodiment within the sensori-motor loop. The work will include analytic investigations and numerical simulations of neural networks and/or of simulated robots, using the toolset of dynamical systems theory. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start summer/fall 2017, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros General information on the University of Frankfurt and its employment policy. With its around 46000 students and 4600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy. The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law (Wissenschaftszeitvertragsgesetz) and the Hessian Higher Education Act (Hessisches Hochschulgesetz). The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ###

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Vice Chancellor's 5-year Research Fellowship in Biocomputation, Mental Health and Wellbeing (University of Hertfordshire, U.K.)
by Steuber, Volker July 12, 2017

July 12, 2017

Research Fellow: Biocomputation, Mental Health and Wellbeing University of Hertfordshire - School of Computer Science Location: Hatfield Salary: £32,004 to £38,183 Grade 7 p.a. Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 27th June 2017 Closes: 21st August 2017 Job Ref: 014834 FTE 1.0 FTE working 37 hours per week Duration of Contract: Fixed term contract 5 years from October 2017 Qualifications required: Very strong PhD degree in a quantitative research-oriented discipline, examples are computer science, mathematics, physics and neuroscience; excellent programming skills in at least one major computer language (essential), and very strong mathematical background, with particular emphasis on areas such as computer algebra, Krohn-Rhodes algebraic automata theory and language theory, discrete/continuous/constructive dynamical systems theory, group theory, algebraic topology, information theory, probability theory and statistics, and mathematical methods for computational intelligence. Background in computational neuroscience, including processing and analysis of EEG data, especially EEG microstates, is highly desirable. Experience writing high-quality research publications (essential) and grant applications (desirable), as well as excellent communication skills (essential). Successful history of working in multidisciplinary teams (highly desirable). Description of the research activity and area: Algorithms and Biocomputation are growing areas of research excellence at the University of Hertfordshire. This Fellowship targets the development and application of our novel computational and mathematical methods (e.g., automata-, language-theoretic and algebraic methods; computational mechanics and Krohn-Rhodes computational algebraic biology) to biological systems. The Research Fellow will support ongoing and future work characterizing the neurodynamical spatio-temporal structure of human mental states led by Professor Chrystopher L. Nehaniv and external collaborator Dr Elena Antonova (Institute of Psychiatry, Psychology and Neuroscience, King’s College London). Our current BIAL Foundation grant focuses on using EEG microstate ‘grammars’ to distinguish different mental states in expert meditators. EEG microstates are quasi-stable maps of electric potential landscapes of short duration, typically classed in a small number of discrete types analogous to ‘letters’ of an alphabet. The tendency for simple EEG microstate transitions between certain pairs of these discrete types has already been shown to characterize clinical populations (people with schizophrenia or Alzheimer’s vs. healthy controls). Our current research targets finer understanding of richer temporal neurodynamical structure and patterns, using these novel computational methods, toward harnessing their potential eventually for applications in Health and Wellbeing as a diagnostic tool for different clinical populations. The Fellow will reinforce the established collaboration with KCL, supporting validation and development of our methods toward their eventual application in clinical diagnosis and mental illness prevention, as well as in promotion of wellbeing. The Fellow will be expected to publish in high-impact journals and present conference papers together with Professor Nehaniv and Dr Antonova, to contribute to writing grant applications to national and international funding bodies [e.g., Wellcome Trust, EPSRC/BBSRC/MRC, European Commission, and other funding agencies], and contribute to REF outputs of the School of Computer Science. In accord with the CONCORDAT for professional development of researchers, the candidate may be afforded the opportunity to undertake a limited amount of appropriate teaching (upon mutual agreement). The Royal Society / Wolfson Biocomputation Research Laboratory at the University of Hertfordshire has a long history of interdisciplinary innovation in computational methods for systems biology and neural systems, as well as applications of bioinspired-methods to other fields. It enjoys close interdisciplinary links to the Adaptive Systems and Algorithms Research Groups, whose interests include mathematical computer science, compilers, security, networks, artificial Intelligence robotics, artificial life, language acquisition, human-robot interaction, etc., and have labs equipped with humanoid and non-humanoid robots, as well as 3D printing facilities. External research connections to UK, European and international partners (e.g. University of California, Berkeley; Univ. Debrecen and Renyi Institute, Hungary; Sardex, Italy; etc) are supported through numerous research council and EC-funded collaborations and projects. Skills and experience needed: The Fellow will have established him/herself as an independent researcher, capable of establishing a programme of research activity within the scope of the project. S/he will have excellent oral and written communication skills in both spoken and written English and a track record of publications in high impact journals. The Fellow will be expected to build capacity in the area of Biocomputation and participate in attracting external funding, previous success being a desirable attribute. S/he should be able to establish good working relationships, and work closely with members of the Centre for Computer Science and Informatics Research and the School of Computer Science, at the University of Hertfordshire and with partner organisations as appropriate. The fellow should have knowledge of research methodology appropriate for the subject area and knowledge of appropriate databases for the discipline and ability to conduct literature searches in the discipline using appropriate electronic resources. Contact Details: Informal enquiries can be made to Professor Chrystopher L. Nehaniv, email: C.L.Nehaniv(a)herts.ac.uk<mailto:C.L.Nehaniv@herts.ac.uk> tel: +44 1707 284470<tel:01707%20284470> The University offers a range of benefits including a pension scheme, professional development, family friendly policies, child care vouchers, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave. To make a formal application, follow links and apply on-line: http://www.jobs.ac.uk/job/BCH822/research-fellow-biocomputation-mental-heal…

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Postdoc Position: Learning Dynamics in Recurrent Networks
by Shouval, Harel July 11, 2017

July 11, 2017

A postdoc position is available in the Shouval lab. The Postdoc will work on a project funded by the BRAIN grant: “Learning spatio-temporal statistics from the environment in recurrent networks”. In this project we will model both recurrent network models, and also the learning rules that allow them to learn their dynamics from environmental cues. This project is a collaboration between the lab of Harel Shouval at the University of Texas in Houston, and the lab of Nicolas Brunel at Duke. This is a two-year position and it can start immediately. The Shouval lab is a leader in developing models of synaptic plasticity and understanding their impact on learning and memory. The models we develop span from the molecular level and up to the systems level. In our some of our recent work we study the impact of synaptic plasticity on recurrent network dynamics and on incorporating reinforcement learning into biophysical plasticity models. We use both computational and analytical techniques to study these issues. The Shouval lab is located in the department of Neurobiology and Anatomy, in the UT medical school. Houston has a thriving Neuroscience community and it is an excellent environment for Theoretical and Computational Neuroscience. There is a high concentration of Theoretical Neuroscience labs at the different Houston area Universities (Baylor, Rice, UH, UT). Our Theoretical Neuroscience community is highly collaborative and there is a joint organization to foster these collaborations; the Gulf Coast Consortium in Theoretical and Computational Neuroscience (GCC-TCN). We hold an annual conference, joint graduate courses and a journal club. The ideal candidate will have a PhD in Computational Neuroscience with strong analytical and computational skills. I will also consider candidates with a background in the Physical or Computational Sciences who would like to become a Theoretical Neuroscientists. If you want to apply please send me your CV, and a brief cover letter that includes names of possible references. I will also be happy to answer any question you might have about the project or the position. Harel Shouval Professor Department of Neurobiology and Anatomy The University of Texas Medical School, Houston Director of the Neuroscience Graduate program Email: harel.shouval(a)gmail.com<mailto:harel.shouval@gmail.com> Web: https://med.uth.edu/nba/faculty/harel-shouval/

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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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