- Comp-neuro - lists.cnsorg.org

Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience
by Tai Sing Lee 21 Dec '19

21 Dec '19

Please encourage computationally-oriented undergraduates to apply to the Summer 2020 undergraduate program in computational neuroscience (uPNC) in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition (CNBC) in Pittsburgh, PA. The CNBC is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in late May or early June each year, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. Admitted students will receive a stipend and university dormitory housing. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds. Many of our trainees are from colleges and universities that do not have extensive research programs, but all must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. CNBC is dedicated to creating an inclusive and welcoming environment for all students and we encourage applications from women, under-represented minorities, and individuals with disabilities. Additional information and the application can be found here <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>. A showcase of past years’ undergraduate research and program schedules is available: summer uPNC 2019 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>, summer uPNC 2018 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>, summer uPNC 2017 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…> mentored research is also available. Please contact Dr. Linda Moya (lhmoya(a)cmu.edu <mailto:lhmoya@cmu.edu>) for further questions.

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PhD fellowship in joint processing of audio and EEG signals
by Kaare Mikkelsen 20 Dec '19

20 Dec '19

Applications are invited for a PhD fellowship within Deep learning for joint processing of audio and EEG signals. The aim of the project is to develop algorithms for enhancing hearing aid performance through integration with ear-EEG. The project will investigate deep neural networks for joint processing of brain and audio signals. Read more at: https://eng.au.dk/fileadmin/DJF/ENG/Billeder/ECE/CenterforEarEEG/PhDPositio… <https://eng.au.dk/forskning/forskningsprogrammer-og-centre/center-for-ear-e…> -------------------------------------------------------------------- Kaare Mikkelsen, PhD Phys. Department of Engineering Aarhus University --------------------------------------------------------------------

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AREADNE 2020 1st Call for Abstracts
by John Pezaris 19 Dec '19

19 Dec '19

AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info(a)areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2020, 16-20 June 2020, our eighth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2020 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 24 Jan 2020; notifications will be provided by 21 Feb 2020. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org . We hope to see you at AREADNE 2020, Nicholas Hatsopoulos & John Pezaris AREADNE 2020 Co-Chairs --- John S. Pezaris, Ph.D. AREADNE 2020 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

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PhD position in mouse/monkey electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
by Scholvinck, Marieke 19 Dec '19

19 Dec '19

We are hiring! We are looking for an enthusiastic Ph.D. candidate to join our team in the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany. The position The Zero-Noise Lab investigates how neuronal activity unfolds during natural behaviour rather than in the restricted conditions of most laboratory experiments, and how this compares between mouse and monkey. To this end, we implant electrodes to record neuronal activity in multiple visual brain areas as our animals move through a realistic virtual reality environment in search of virtual rewards. More information about the lab can be found at https://www.esi-frankfurt.de/research/havenith-scholvinck-lab/. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith. Postdocs and Ph.D. students focus on either mice or monkeys, but intensely work together to ensure that we constantly learn from each other's experiments. This means that as a Ph.D. student you will work together closely with a postdoc to set up and run the experiments. Ideally, we would like you to start in spring 2020, but later would also work. We are most urgently looking for a Ph.D. student for the monkey experiments. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel. You If you (are about to) hold an M.Sc. or equivalent, and are excited to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that are not a must, but would be very valuable: - programming skills (Matlab and/or Python) - experience with training animals - experience with electrophysiology How to apply If you're interested, please send an email to Marieke (marieke.scholvinck(a)esi-frankfurt.de<mailto:marieke.scholvinck@esi-frankfurt.de>) and Martha (marthanari.havenith(a)gmail.com<mailto:marthanarihavenith@gmail.com>) before February 15, 2020. In your email, please explain your background and why you want to join us in Frankfurt. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke

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4th Meeting of the French BCI Society in Autrans, May 11-13 2020
by Blaise Yvert 17 Dec '19

17 Dec '19

Dear colleagues, We are pleased to announce that the 4th CORTICO days will take place in Autrans (near Grenoble, in France) from May 11-13, 2020. This year, they will be dedicated to: *" Invasive and non invasive brain-computer interfaces - A handshake over the cliff "* The conference website in now online, HERE <https://corticodays.sciencesconf.org/>. You are already invited to register and submit abstracts, knowing that the space of the conference center is limited. Looking forward welcoming you in Autrans, Blaise Yvert, for the conference organizing committee -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Joint faculty position at NYU: Data Science and Neural Science
by Eero P Simoncelli 16 Dec '19

16 Dec '19

Dear Colleagues, The Center for Neural Science (CNS) and the Center for Data Science (CDS) at New York University invite applications for an open rank joint faculty position, anticipated to begin September 2020. Appointments may be made at either junior or senior level. We seek exceptional candidates that can carry out research programs aimed at quantitative analysis and modeling of neural data, and developing related data science tools and methods, leveraging existing strengths of CNS and CDS. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty. The successful candidate will be a faculty member in both units, with teaching, service, and other professional duties split between them. Applications and supporting documents received by 31 December 2019 will receive full consideration. Further information about CNS and CDS, and the University: * http://www.cns.nyu.edu/ * https://cds.nyu.edu/ To apply: * https://apply.interfolio.com/70431 Best, Eero Simoncelli New York University

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Fully funded PhD position at the IIT - neural coding - open now
by Stefano Panzeri 16 Dec '19

16 Dec '19

Fully funded PhD Position at IIT - Computational approaches to study the neural code for somatosensation. I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s in my lab ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with SISSA and finances the positions at the PhD course at SISSA from the EU Marie Curie Training Network Neutouch (www.neutouch.eu) Although formally to be enrolled at SISSA, the successful candidate will conduct research in my laboratory at the IIT headquarters in Genova, Italy. The PhD project can focus on any of the research topics about somatosensory neural information processing that are of interest to the candidate, to my lab and to the Training Network (www.neutouch.eu) including: developing mathematical analysis methods and neural network models for studying neural population coding of somatosensory signals, for studying the neural bases of sensory perception and decision making, and for designing somatosensory neuro-inspired artificial sensors. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is required. However, a keen interest in understanding the brain is essential. The position is open immediately and will close when a suitable candidate is found. Interested candidates are invited to contact me informally by email (stefano.panzeri(a)iit.it) as soon as possible, by attaching their CV and briefly explaining their interest in this position, to initiate discussions about potential PhD projects of interest. For recent representative publications from my lab, please see: van Vugt B, et al, (2018) *Science* 360, 537-542 Zaldivar, D., et al, (2018) *Current Biology* 28: 224-235 Runyan C. A., et al (2017) *Nature*: 548: 92-96 Pica G. et al, *NIPS* (2017) Panzeri, S, et al (2017) *Neuron* 93: 491-507 Safaai, H. et al (2015) *Proc. Natl. Acad. Sci. USA* 112(41): 12834–12839 Fasoli, D. et al (2016) *PLoS Computational Biology*, 12(8): e1004992. Panzeri, S., et al (2015) *Trends in Cognitive Sciences* 19: 162-172 Einevoll, G., et al (2013) *Nature Reviews Neuroscience*, 14, 770-785 Yours truly, Stefano Panzeri stefano.panzeri(a)iit.it

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Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 16 Dec '19

16 Dec '19

Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.419, http://www.mdpi.com/journal/entropy) The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… The submission deadline is 31 January 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: <http://www.mdpi.com/about/ioap><http://www.mdpi.com/about/ioap>). You may contact your library and confirm this. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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PhD position in Bern
by Jean-Pascal Pfister 16 Dec '19

16 Dec '19

The Department of Physiology at the University of Bern is opening a PhD position in computational neuroscience at the interface with experimental neuroscience. The cerebral cortex endows us with the ability to perform complex cognitive and emotional processes supporting adaptive behavior. The hippocampus is a high-order cortical area instrumental for cognition and emotions. The PhD project will focus on discovering selective computations related to spatial navigation and emotional states using hippocampal neural recordings in behaving rodents. It will further develop predictive models for animal position taking into account uncertainty of hidden states such as emotions. The specificity of the project is the close interactions between theory and experiments. The candidate will have access to experimental data acquired within the research group of Stéphane Ciocchi and the supervision will be shared with Jean-Pascal Pfister of the Theoretical Neuroscience Group. The candidate should hold a Master degree in Physics, Mathematics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have keen interests in close interactions between theory and experiments. Interested candidates can send their application and inquiries via email to pfister(a)pyl.unibe.ch <mailto:pfister@pyl.unibe.ch>, ciocchi(a)pyl.unibe.ch <mailto:ciocchi@pyl.unibe.ch> The application should include the following in one pdf document: letter of motivation, CV, contact details of 2 references. The position is funded for a duration of three years. The PhD position shall start early in 2020. Deadline for application is the 31st of January 2020 or until the position is filled. References: Ciocchi, S., Passecker, J., Malagon-Vina, H., Mikus, N., Klausberger, T. Selective information routing by ventral hippocampal CA1 projection neurons. Science (2015). Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception. Kutschireiter A, Surace SC, Sprekeler H, Pfister JP. Sci Rep (2017). --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland and Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland www.ini.uzh.ch/~jpfister Tel: ++ 41 31 631 87 78

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Stellenanzeige
by Obermayer, Klaus, Prof. Dr. 16 Dec '19

16 Dec '19

Dear moderator, can you post our job announcement (see below) on the neuroinformatics mailing list? Thank you very much! Best regards Klaus Obermayer ---------------------------------------------------------------------------------------------------------------------------------------- Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Brain network models: Dynamics and Control Salary grade E13 (TV-L Berliner Hochschulen) Duration: 34 months Starting date: March 1st, 2020 Working field: The successful candidate is supposed to work on the analysis and simulation of calibrated whole-brain networks using neuronal mass models and on the design and evaluation of novel control schemes for the stabilization of and the switching between dynamical states. She/he will be part of the Collaborative Research Center "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application" (https://www.itp.tu-berlin.de/sfb910/ sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) The candidate is also expected to interact with clinical scientists who are interested in the non-invasive manipulation of the whole-brain dynamics using transcranial current stimulation. Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems, knowledge in the area of control of non-linear dynamical systems is desirable; very good programming and English language skills. How to apply: Please send your application with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin, Germany, or - preferably - by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/ Please send copies only. Original documents will not be returned. Aplication deadline for full consideration: 31. 1. 2020 Applications, however, will be accepted until the position is filled.

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