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Two positions at Boston Univ: 1.) Neural data analysis & 2.) Modeling cortical cognitive function
by Michael Hasselmo April 18, 2016

April 18, 2016

Two positions are available in the Hasselmo laboratory in the Center for Systems Neuroscience at Boston University focused on: 1.) Analysis of neurophysiological data, and 2.) Computational modeling of cortical cognitive function. Each position could be hired as either a pre-doctoral staff position or a post-doctoral research position. 1. ANALYSIS OF NEUROPHYSIOLOGICAL DATA. This position involves working with multiple ongoing neurophysiological research projects, including unit and field potential recording in awake behaving rodents, and whole cell patch recording in brain slice preparations. The ideal candidate will be able to balance research projects efficiently and work closely with others in the lab. Interest in neuroscience and background in engineering or mathematics is preferred. Experience with scientific data analysis and signal processing is essential. Programming proficiency is required. Languages of use include: MATLAB, Python, Unix, C++, MySQL, though experience is not required in each. Experience with machine learning, computational modeling, and biomedical recording hardware/software is desirable. Responsibilities: • Develop and maintain standardized analysis procedures and toolboxes for multiple experimental paradigms. • Develop software for interfacing with experimental equipment, as required. • Assist on experimental design and statistical analyses of data • Develop processing procedures for non-standard data • Compare and fit experimental results to biologically structured models. • Prepare written presentations of results • Maintain a uniform data flow and backup procedure across researchers. • Maintain and utilize MySQL databases. 2. COMPUTATIONAL MODELING OF CORTICAL COGNITIVE FUNCTION. This position involves development of cortical circuit models of cognitive function with a particular emphasis on the prefrontal cortex, building on previous research including work in the Hasselmo laboratory at Boston University. The ideal candidate will have previous experience with development of neural circuit models of the role of neocortical structures in symbolic processing and cognitive function, with programming proficiency in languages such as MATLAB and/or Python. Responsibilities: • Develop and maintain cognitive model of cortical function using neurons at different levels of detail. • Simulate behavioral function in a range of cognitive tasks. • Assist on design of experiments using fMRI and unit recording in non-human primates. • Compare and fit experimental results to biologically structured models. • Prepare written presentations of models and experimental data. If interested, please send resume, cover letter, and names of references (letters not yet required) to Prof. Michael Hasselmo at hasselmo(a)bu.edu. -- Prof. Michael Hasselmo Director, Center for Systems Neuroscience, Department of Psychological and Brain Sciences, Center for Memory and Brain, Graduate Program for Neuroscience, Boston University, 2 Cummington St., Boston, MA, 02215, USA e-mail: hasselmo(a)bu.edu, http://www.bu.edu/hasselmo

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Call for Abstracts: Bernstein Conference 2016
by Margret Franke April 18, 2016

April 18, 2016

Call for Abstracts: Bernstein Conference 2016 ************************************************************** Satellite Workshops September 20-21, 2016 Main Conference September 21-23, 2016 PhD Symposium September 23-24, 2016 ************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. This year the conference is organized by the Bernstein Center for Computational Neuroscience Berlin at the Humboldt-Universität zu Berlin. The main conference (Sep 21-23, 2016) will be accompanied by satellite workshops (Sep 20-21, 2016) and a PhD symposium (Sep 23-24, 2016). An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). DETAILS FOR ABSTRACT SUBMISSION: Please note that the submission of an abstract does not replace the conference registration (www.bernstein-conference.de/registration) Poster space is limited and early submission is encouraged. For abstract submission visit: http://g-node.org/abstracts/bc16/ ABSTRACT SUBMISSION DEADLINES: Posters to be considered as contributed talks: June 15, 2016 Other posters: August 1, 2016 NEW THIS YEAR – TRAVEL GRANTS This year for the first time, the Bernstein Association offers Travel Grants for participation in the Bernstein Conference. Each of the 10 Travel Grants is endowed with 500 €. Please find further information under the link: www.nncn.de/en/bernstein-conference/2016/travel-grant CONFERENCE DETAILS: Conference registration starts on May 2, 2016. Early registration deadline: July 24, 2016 Hotel rooms are relatively pricy and limited due to a huge trade fair at the same time. We offer a small contingent of hotel rooms close to conference venue on the conference website. Please book by yourself. VENUE Satellite Workshops and Main Conference: Humboldt-Universität zu Berlin, Unter den Linden 6, 10117 Berlin, Germany VENUE PhD Symposium: Humboldt-Universität zu Berlin, Campus Nord, Bernstein Center for Computational Neuroscience Berlin, Philippstr. 13 Haus 6, 10115 Berlin, Germany VENUE Public Lecture: Humboldt-Universität zu Berlin, Audimax, Unter den Linden 6, 10117 Berlin, Germany, September 21, 2016, 8 pm For more information on the conference, please visit the website http://www.bernstein-conference.de We are looking forward to welcoming you in Berlin! Local organizer: Michael Brecht Program chair: Richard Kempter Managing director: Margret Franke Co-Organizers: Bernstein Coordination Site (BCOS): Andrea Huber Broesamle, Mareike Kardinal, Kerstin Schwarzwaelder -- Margret Franke Managing Director Bernstein Center for Computational Neuroscience Humboldt-Universität zu Berlin Unter den Linden 6 10099 Berlin phone: (030) 2093-9110 fax: (030) 2093-6771

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Postdoc in Warsaw - kernel-based method of electrophysiological source imaging
by Daniel Wójcik April 18, 2016

April 18, 2016

https://neuroinflab.wordpress.com/jobs/ POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (https://neuroinflab.wordpress.com/) at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences (NENCKI, www.nencki.gov.pl) headed by Prof. Daniel Wójcik (http://www.neuroinf.pl/Members/danek) invites applications for a postdoctoral position (36 months) that will be available as part of a nationally funded project (NCN OPUS). The goal of the project is to develop and implement a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab, see especially Potworowski et al. 2012 and Ness et al. 2015. Requirements: - PhD, preferred in physics/biophysics, mathematics, computer science, electrical engineering, computational neuroscience or related fields - Strong interest in brain research - Preference for people with experience in one or more of: numerical solutions of PDEs, electrodynamics, computational neuroscience, brain imaging - Advanced programming experience, Python preferred - Exceptional motivation for scientific research (demonstrated in former education record, additional courses completed, list of publications and conferences attended, previous scientific experience, references of the candidate’s thesis advisor, letter-of-intent) - Proficiency in English Application The application should contain the following documents/information: - CV including the list of publications, scholarships and awards, list of computational projects in which the candidate participated (preferably with links to the project website/publication or the candidate’s GitHub account). - Copy of PhD diploma - The applicant should arrange for two letters of recommendation to be sent directly to Prof. Wojcik and should provide contact information (email, phone) for the two referees in the cover letter. Preferred starting time: by September 15th, 2016 but the position is open. Application deadline: We are accepting applications until the position is filled To apply or ask for further information send email to d.wojcik(a)nencki.gov.pl -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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postdoc positions - Gatsby Computational Neuroscience Unit
by Peter Latham April 18, 2016

April 18, 2016

The Gatsby Computational Neuroscience Unit invites applications for one or more postdoctoral training fellowships in theoretical neuroscience and related areas. We are looking especially for someone with an interest and/or background in synaptic plasticity and learning. Candidates should have a very strong analytical background in physics, mathematics, statistics, or machine learning, with an emphasis on the use of Bayesian methods in neuroscience, a detailed knowledge and understanding of the literature, and a publication record in highly ranked conferences and journals. Candidates must also have a PhD in a relevant subject area by the agreed start date of the position. For additional information, and to apply, please visit http://www.gatsby.ucl.ac.uk/vacancies/TN%20Postdoc%202016/TN%20Postdoc%2020… If you have any questions, please contact Peter Latham, pel(a)gatsby.ucl.ac.uk

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Open PhD Position at the University of Exeter, UK - Modelling visuomotor coordination in People with Parkinson’s Disease
by Tsaneva-Atanasova, Krasimira April 18, 2016

April 18, 2016

I have an open PhD Positions in my group at the University of Exeter. I am looking for PhD students with quantitative background (mathematics, physics, computer science or engineering) who are interested in applying their skills in solving biomedical and/or healthcare problems. Carlota Palmer Studentships: 2. Modelling visuomotor coordination in People with Parkinson’s Disease For further details and how to apply see: http://www.exeter.ac.uk/studying/funding/award/?id=2159<http://www.exeter.ac.uk/studying/funding/award/?id=2122> Please feel free to contact me if you have any questions regarding these positions. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

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Postdoctoral and Developer positions / Large-scale network simulator development
by Hans Ekkehard Plesser April 18, 2016

April 18, 2016

Dear Colleagues! The computational neuroscience group at the Norwegian University of Life Sciences is currently recruiting one postdoctoral-level researcher and one scientific software developer as part of our large-scale neuronal network simulator development efforts in the Human Brain Project (HBP). Our group is responsible for four tasks in the next phase of the HBP: - Massively parallel methods for network construction from rules and data - Whole brain level in silico instrumentation, services and apps - Models of brain signals - Simulator NEST as a Service Your work will focus on the first two tasks, researching concepts required to compactly specify brain-scale neuronal networks so that they are easy for the neuroscientist to review, and at the same time can be instantiated efficiently in a massively parallel fashion. You will further work on concepts that will allow domain specialists to configure complete in silico experiments on point-neuron-based whole-brain models by connecting stimulation and recording devices to specific neuron populations. We will collaborate closely with colleagues within the HBP, especially at the Institute for Neuroscience and Medicine 6, Research Center Jülich (FZJ), at the Swiss Federal Institute of Technology in Lausanne (EPFL), and at University of Oslo. Our group is a core member of the NEST Initiative. We have access to some of the world's largest supercomputers and aim to develop simulation technology that will scale to the exascale. Preferred starting date for the positions is 1 August 2016 for a period of 20 months (until 31 March 2018). For details on the positions, please see the full advertisements at https://www.jobbnorge.no/ledige-stillinger/stilling/124473/researcher-in-ne… https://www.jobbnorge.no/ledige-stillinger/stilling/124558/head-engineer-se… where you also can submit your application. For general information about working in Norway, please see https://www.nav.no/workinnorway/ Please feel free to contact me if you are interested in the positions! Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser, Associate Professor Section Head Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.umb.no/~plesser

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[IEEE ICCI*CC'16:] Final call for Submission: Computational Intelligence/Cognitive Informatics/Cognitive Computing @Stanford
by Yingxu Wang April 18, 2016

April 18, 2016

Dear Colleagues, The deadline for paper submission to IEEE ICCI'CC’16 (15th IEEE International Conference on Cognitive Informatics & Cognitive Computing) is April 30, 2016 (http://www.ucalgary.ca/icci_cc/iccicc-16) The Proceedings of ICCI*CC'16 will be published by IEEE CS Press. Papers accepted in ICCI*CC’16 will be indexed by EI. Extended versions of selected papers will be published in several EI or SCI indexed journals. Full papers are expected to be around 5-8 pages in IEEE double column format. Short papers (3-4 pages) that report industrial experience, case studies, work in progress, or graduate students’ research are also welcome. Paper submission site is at: https://easychair.org/conferences/?conf=iccicc2016. The conference will be featured by four keynote speeches such as those of: * Prof. Lotfi A. Zadeh with UC Berkeley * Prof. Bernard Widrow with Stanford University The keynotes highlight cutting-edge theories and novel technologies for cognitive systems and computational intelligence inspired by the brain. We look forward to meeting you at Stanford University during Aug. 22-23, 2016. Sincerely, IEEE ICCI*CC'16 Co-Chairs GENERAL CO-CHAIRS: Bernard Widrow (Stanford) and Yingxu Wang (UofC, Canada) PROGRAM CO-CHAIRS: Newton Howard (MIT) and Kostas Plataniotis (Univ. of Toronto, Canada)_______________________________________________ This message was sent to all subscribers of ieeeicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: ieeeicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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PhD position: neuronal self-organization in the retina
by Roman Bauer April 16, 2016

April 16, 2016

Dear all, applications are invited for a fully-funded three-year PhD student position at the Institute of Neuroscience at Newcastle University, Newcastle upon Tyne (UK). The successful candidate will work under the supervision of Dr Roman Bauer and Dr Evelyne Sernagor, and do computational modeling as well as wet-lab work on neuronal development and self-organization in the retina. There is also the possibility for the student to be involved in a collaborative project with CERN openlab and Intel as a project partner. Applicants should be highly motivated and should have a strong background in physics, computer science, neuroscience or a related disciplince. Good computational skills and experience in a major programing language such as C++ or Java are required. The Institute of Neuroscience (IoN) is a well-established research institute integrating over 75 principal investigators, and was ranked in UK top 10 for overall quality of research. The university's Faculty of Medical Sciences, of which IoN is part of, is ranked in the top 50 worldwide for biomedical and health sciences in the Leiden Ranking. UK/EU and International students are eligible to apply, but international students will be required to make up the difference between the UK/EU fees and international fees. The deadline is May 13th, 2016. More details on this job posting can be found here: http://www.ncl.ac.uk/postgraduate/funding/sources/allstudents/12mrea.html Best regards, Roman Bauer

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Call for Abstracts at NTS Conference, Deadline April 29, 2016
by Camille Grigsby-Rocca April 15, 2016

April 15, 2016

Dear Colleagues, The Scientific Committee of Neuromodulation: The Science Conference is pleased to announce an extension to the conference Call for Abstracts, now due April 29, 2016, for our upcoming neuroscience summit, slated for May 25-29, 2016 in San Francisco. Submissions are open for the Neurovations Awards for Best Posters in Neuromodulation at NTS Conference, for abstracts presenting original basic or clinical scientific research or updates in brain/computer/machine interfacing, biomedical engineering, neuroscience and neuromodulation. See the Abstract Submission Guidelines here<http://ntsconference.com/neurovations-award/>. The top three posters from all specialties including brain/computer/maching interfacing, bioengineering, neuromodulation and neuroscience will win an award for scientific excellence, which will be presented on the final day of the conference. Prizes to the top three posters selected will be awarded in amounts of $3000, $2000, and $1000, respectively. All posters must be attended by a registered attendee of the conference. View the program at ntsconference.com<http://ntsconference.com/> - conference co-chairs Elliot Krames, MD, Eric Grigsby, MD, MBA and Peter Staats, MD, with the support of the Conference Scientific Committee have designed five days of world-class scientific content. The program includes lectures and Q&A panels, led by over 60 of the world's preeminent scientists in brain/computer/machine interfacing, neuromodulation, optogenetics, bioengineering, functional electrical stimulation (FES), spinal cord stimulation (SCS), and more. Early registration rates are available through April 21. Discounted lodging rates at the Hyatt Regency Embarcadero, San Francisco, are available until April 29. Abstracts will be accepted through April 29. CME credits are available, with 18.50 AMA PRA Category 1 Credits(tm). VIEW THE FULL PROGRAM HERE<http://ntsconference.com/wp-content/uploads/2015/04/NTS_agenda_040516.pdf>. ________________________________ This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through joint providership of SpectrumCare and Neurovations Education. SpectrumCare is accredited by the ACCME to provide continuing medical education for physicians. SpectrumCare designates this live activity for a maximum of 18.5 AMA PRA Category 1 Credits(tm). Physicians should claim only the credit commensurate with the extent of their participation in the activity. ________________________________ SCIENTIFIC COMMITTEE Elliot Krames, MD Past President INS, Founding Editor of Neuromodulation Eric Grigsby, MD, MBA CEO, Neurovations Clinical Research and Education Founder, Napa Pain Institute, the SpectrumCare Group Peter Staats, MD Premier Pain Centers, Past President, NANS Joe Pancrazio, PhD Associate Provost and Professor of Biomedical Engineering at University of Texas at Dallas Hunter Peckham, PhD Professor Biomedical Engineering, Case Western Reserve University Dominique Durand, PhD El Lindseth Professor of Biomedical Engineering, Case Western Reserve Universtiy Magdy Hassouna, MD, PhD Department of Urology, University of Toronto Ali Rezai, MD Director, OSU Neuroscience Program, Stanley and Jodi Ross Chair in Neuromodulation, Associate Dean of Neurosciences, Professor of Neurosurgery and Neuroscience Robert Gross, MD, PhD Professor, Departments of Neurosurgery, Neurology, Biomedical Engineering, and Neuroscience,Director, Functional, Stereotactic & Epilepsy Surgery Division Tony Yaksh, PhD Distinguished Professor in Anesthesiology and Pharmacology and Vice Chairman for Research in Anesthesiology(1988-present), Co-director of the Pain and Symptom Management Core of the UCSD Regional Cancer Center Chad Bouton, MS Division Leader, Neurotechnology and Analytics, The Feinstein Institute for Medical Research, Managing Director, Center for Bioelectronic Medicine Simon Thomson, MD Past President, INS Bengt Linderoth, MD, PhD Professor of Neurosurgery, retired, Karolinska Institute Robert Foreman, PhD George Lynn Cross Research Professor, University of Oklahoma, Dept of Physiology, retired Michael DeJongste, MD, PhD Faculty of Medical Sciences, Dept of Cardiology, University of Groningen Jiande Chen, PhD Professor of Medicine and Professor of Biomedical Engineering, Johns Hopkins University

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Deadline April 30 for Berkeley summer course in mining and modeling of neuroscience data
by Friedrich Sommer April 13, 2016

April 13, 2016

Just a reminder: The application deadline for the Berkeley course in mining and modeling of neuroscience data, held July 11-22, 2016 is April 30 midnight. Call for applications: We invite applicants to the 2016 summer course in "Mining and modeling of neuroscience data" to be held July 11-22, 2016 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Berkeley summer course in mining and modeling of neuroscience data. July 11-22, 2016 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) Scope This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of–the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Institute of Health, the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, and the Helen Wills Neuroscience Institute at UC Berkeley. Format The course is “hands on” in that it will include exercises in how to use and modify existing software tools and apply them to data sets, such as those available in the CRCNS.org repository. Course Instructors Robert Kass, Carnegie Mellon University, Pittsburgh Maneesh Sahani, Gatsby Unit, University College London Odelia Schwartz, University of Miami Frederic Theunissen, University of California Berkeley Joshua Vogelstein, Johns Hopkins University Course Moderators Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience. Speakers To complement the main course instruction there will be lectures in the evenings by local Berkeley and UCSF neuroscientists presenting their research using quantitative approaches. Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and have some experience using MatLab and Python. Each student should bring a laptop with both MatLab and Python installed. Cost There is no cost to attend. Non-local attendees will be reimbursed for economy travel expenses (up to a maximum, probably about $500) and also for qualifying food expenses if receipts are provided. Housing Rooms in a nearby hotel will be provided for those attendees who need accommodations. Food Breakfast and some dinners will be provided to all participants as a group. Non-local attendees can purchase food at local stores or restaurants and be reimbursed. How to apply To apply, submit the online form linked from: http://crcns.org/course. A curriculum vitae and a letter of recommendation are required. The course is limited to 25 students. Deadlines Applications must be received by the end of April. Notifications of acceptance will be given by May 15. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered (subject to change): Basic approaches: - The problem of neural coding - Spike trains, point processes, and firing rate - Statistical thinking in neuroscience - Theory of model fitting / regularization / hypothesis testing - Overview of stimulus-response function models - Theory of model fitting / regularization / hypothesis testing - Bayesian methods - Spike sorting - Estimation of stimulus-response functionals: regression methods, spike-triggered covariance, - Variance analysis of neural response - Estimation of SNR. Coherence Information theoretic approaches: - Information transmission rates - Scene statistics approaches and neural modeling Techniques for analyzing multiple-electrode and optical neural recordings: - Event sorting in electrophysiology and optical imaging - Optophysiology cell detection - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Methods for assessing functional connectivity - Statistical issues in network identification - Low-dimensional latent dynamical structure in network activity–Gaussian process factor analysis/newer methods Analyzing structural data: - Histology cell detection - Statistical connectomics Neuroinformatics topics: - Petascale data storage, exploration, parsing and analysis - Introduction into Neurodata Without Borders data format for Neurophysiology

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