- Comp-neuro - lists.cnsorg.org

Postdoctoral positions in invasive human neurophysiology (Dr. Pouratian’s lab)
by Mahsa Malekmohammadi 30 Oct '19

30 Oct '19

Three postdoctoral research positions are immediately available at the UCLA Neurosurgical Brain Mapping and Restoration Lab (NBMRL), under the direction of Dr. Nader Pouratian in the UCLA Department of Neurosurgery. We are seeking individuals with interest in any of the following areas: (1) pathophysiology of Parkinson disease (2) therapeutic mechanisms of deep brain stimulation (3) network basis of anesthesia and consciousness (4) biophysics of visual cortex stimulation. These NIH-funded positions are outstanding opportunities to receive training and develop innovative research projects in a highly productive and cutting-edge research program. The successful candidates are expected to be team players and collaborate closely with other team members (both within UCLA and across our collaborative multi-site network) to develop and validate data acquisitions and behavioral testing and advanced image and signal analyses and interpretation. The candidates are also expected to report, through oral presentation and written reports/papers, algorithms and experimental findings. In addition, opportunities to develop research proposals under direct mentorship from the PI will be provided. Candidates with a Ph.D. in Computational Neuroscience, Engineering, Physics, Mathematics or Data Science, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in biomechanical modeling, cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Excellent written and oral English communication skills and proven ability to conduct high-quality research evidenced by first-author publications are required. Previous experience with human scalp-or intracranial EEG, animal intracranial electrophysiology, or advanced MRI analysis is preferred. Interested candidates should contact *Dr. Nader Pouratian* at *npouratian(a)mednet.ucla.edu <npouratian(a)mednet.ucla.edu>* and submit a letter of interest, CV, and at least 2 references. -- *Mahsa Malekmohammadi, PhD* Visiting Assistant Professor Department of Neurosurgery University of California, Los Angeles 300 Stein Plaza, Suite 562 Los Angeles, CA 90095 Email: mmalekmohammadi(a)mednet.ucla.edu Office: (310) 206-9187

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an educational review on time delay systems
by Claudius Gros 30 Oct '19

30 Oct '19

Dear All Time delays are ubiquitous in the brain. To this regard we would like to point out a new introductory review, Chaos in time delay systems, an educational review by H. Wernecke, B. Sandor, C. Gros Physics Reports 824, 1-40 (2019). https://www.sciencedirect.com/science/article/abs/pii/S0370157319302601 abstract -------- The time needed to exchange information in the physical world induces a delay term when the respective system is modeled by differential equations. Time delays are hence ubiquitous, being furthermore likely to induce instabilities and with it various kinds of chaotic phases. Which are then the possible types of time delays, induced chaotic states, and methods suitable to characterize the resulting dynamics? This review presents an overview of the field that includes an in-depth discussion of the most important results, of the standard numerical approaches and of several novel tests for identifying chaos. Special emphasis is placed on a structured representation that is straightforward to follow. Several educational examples are included in addition as entry points to the rapidly developing field of time delay systems. table of contents ----------------- 1 Introduction 1.1 Time delays in theory and nature 1.2 Outline 1.3 States and state histories 1.4 Lyapunov exponents 1.4.1 Local Lyapunov exponents 1.4.2 Global and maximal Lyapunov exponents 1.4.3 Global Lyapunov exponents for maps 1.5 Educational example: Stability of a fixed point 1.5.1 Analytic ansatz for local Lyapunov exponents 1.5.2 Euler map 2 Types of time delay systems 2.1 Single constant time delay 2.2 Multiple constant time delays 2.3 Time-varying delay 2.4 State-dependent delay 2.5 Conservative vs. dissipative delay 2.6 Distribution of delays 2.7 Reducible time delay systems 2.8 Neutral delay systems 2.9 Networks with delay coupling 2.10 Long time delays 3 Characterizing the dynamics of time delay systems 3.1 Fixed points 3.2 Types of chaotic motion 3.2.1 Delay induced chaos 3.2.2 Partially predictable chaos 3.2.3 Weak and strong chaos 3.2.4 Intermittent and laminar chaos 3.2.5 Transient chaos 3.3 Lyapunov spectrum 3.4 Lyapunov prediction time 3.5 Phase space contraction rate 3.6 Poincaré section 3.7 The power spectrum of attractors 3.8 The dimension of attractors 3.8.1 Mori dimension 3.8.2 Kaplan-Yorke dimension 3.8.3 Fractal dimension 3.8.4 Correlation dimension 3.9 Binary tests for identifying chaos 3.9.1 Cross-distance scaling exponent 3.9.2 Gottwald-Melbourn test 3.10 Space-time interpretation of time delay systems 4 Numerical treatment 4.1 Numerical integration 4.1.1 Euler algorithm 4.1.2 Euler integration as a discrete map 4.1.3 Explicit Runge-Kutta algorithms 4.2 Lyapunov exponents 4.2.1 Maximal Lyapunov exponent from two diverging trajectories 4.2.2 Benettin’s algorithm 4.2.3 Extracting Lyapunov exponents from the Euler map 5 Conclusions ### ### 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 ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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Modeller’s Workshop for the Brain Dynamics Toolbox. Nov 1-22, 2019.
by Stewart Heitmann 29 Oct '19

29 Oct '19

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-22, 2019 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This on-line course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments open Friday 1st Nov, 2019. Enrolments close Friday 22nd Nov, 2019. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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18 month Post-doc position coordinated by Laurent Perrinet, supported by INT (Marseille, France) and Yves Frégnac (UNIC-NeuroPSI, Gif)
by Laurent Perrinet 28 Oct '19

28 Oct '19

Dear colleagues, Applications are welcome for a post-doctoral position at INT in Marseille, France. Your mission will be to explore novel visual computations using spatio-temporal diffusion kernels and traveling waves. The project is funded by the ANR Horizontal V1 grant (ANR-17-CE37-0006) from the French National Research Agency (ANR) and will be coordinated by Laurent Perrinet, in collaboration with Lyle Muller and Frédéric Chavane at INT and Yves Frégnac and Jan Antolik at UNIC-NeuroPSI, Gif. We are seeking candidates with a strong background in machine learning, computer vision and computational neuroscience. For more information, visit https://laurentperrinet.github.io/post/2019-10-28_postdoc-position. The starting date is set to January 6th, 2020 but can be flexibly extended. To obtain further information or send applications (including a full CV, a letter of motivation, 2 reference names), please contact me @ Laurent.Perrinet(a)univ-amu.fr. The appointment is for 18 month. Applications are welcome immediately and until the end of year 2019. Thanks for distributing this announcement to potential candidates! Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/

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Postdoctoral position(s) available at the University of Pittsburgh
by Williamson, Ross S 28 Oct '19

28 Oct '19

Dear all, Apologies for the cross-posting. Postdoctoral position(s) investigating the organization and function of auditory corticofugal projection systems in behaving mice are available in the Williamson Laboratory at the University of Pittsburgh. Details on the research focus and approaches of the laboratory can be found here: https://www.williamsonlaboratory.com/research/ Applicants must have a PhD in Neuroscience or a relevant field and must be eligible for employment in the US. We are looking for individuals with an excellent record of research achievements and expertise at the intersection of two or more of the following areas: electrophysiology, two-photon imaging, quantitative behavior, and computational neuroscience. Applications will continue until the position is filled. The Williamson Laboratory is the newest member of the Pittsburgh Hearing Research Center at the University of Pittsburgh. The lab is embedded within the Departments of Otolaryngology and Neurobiology, and affiliated with the Center for Neuroscience (CNUP) and the Center for the Neural Basis of Cognition (CNBC). Postdoctoral fellows will be part of a highly supportive and diverse research environment with excellent career development opportunities. The University of Pittsburgh was ranked third in terms of total NIH funding received in 2018. The Global Liveability Index (The Economist) recently ranked Pittsburgh as the second most livable city in America. Interested candidates should email a brief statement of research interests, a CV, and the names and contact information of three references to Dr. Ross Williamson (rsw(a)pitt.edu<mailto:rsw@pitt.edu>). The positions will remain open until filled. Regards, Ross --------------------------------------------------------------------------------------- Ross S. Williamson, Ph.D. | Assistant Professor | Otolaryngology Pittsburgh Hearing Research Center | University of Pittsburgh Biomedical Science Tower | W1448 www.williamsonlaboratory.com<http://www.williamsonlaboratory.com>

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Luminous Workshop on Consciousness - University of Oxford - Call for Participation
by Aureli Soria Frisch 28 Oct '19

28 Oct '19

————————————————— Luminous Workshop on Consciousness ————————————————— Call for Participation Neuroscience researchers interested in the field of Consciousness are warmly invited to participate in the Luminous workshop “Studying, Measuring and Altering Consciousness” to be held 21st November 2019 in Merton College, University of Oxford. Luminous (http://www.luminous-project.eu/ <http://www.luminous-project.eu/> ) is a H2020 project funded under the FET Open program of the EU. The Luminous workshop is an open discussion on following topics: • Fundamental aspects, including theories of consciousness • Neurobiological mechanisms and correlates of consciousness • Models, simulations and emulation of consciousness • Clinical, ethical and societal implications of consciousness research • Techniques for consciousness alteration The workshop includes: • Invited Talks by Anil Seth, Hector Zenil, Claire Sergent, and Morten Kringlebach; • Latest advances in Luminous by consortium members Marcello Massimini, Katie Warnaby, Giulio Ruffini, Silvia Casarotto, Michael Nitsche, Aurore Thibaut, Niels Birbaumer, Julien Modolo, Aureli Soria-Frisch; • Peer-reviewed Flash Talks and Poster Presentations. For further details on the schedule please visit http://www.luminous-project.eu/index.php/workshop-studying-measuring-and-al… <http://www.luminous-project.eu/index.php/workshop-studying-measuring-and-al…> Registration to the meeting at: https://www.oxforduniversitystores.co.uk/short-courses/nuffield-department-… <https://www.oxforduniversitystores.co.uk/short-courses/nuffield-department-…> The Luminous workshop includes a public lecture that needs an additional registration. More details in the web site. Hoping to see you in Oxford, we send you in the meantime our kindest greetings, Organising committee: Katie Warnaby & Jostein Holmgren, University of Oxford; Aureli Soria-Frisch & Eleni Kroupi, Starlab; Julia Moser & Hubert Preissl, University of Tubingen

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Research Fellow in Computational Neuroscience, University of Warwick, UK
by Timofeeva, Yulia 26 Oct '19

26 Oct '19

Research Fellow in Computational Neuroscience Department of Computer Science, University of Warwick, UK Fixed Term Contract for 3 years from 1 January 2020. The appointee will work on a project funded by the MRC that aims to develop and implement a mechanistic modelling framework for studying regulation of synaptic transmitter release in health and disease. This project will be led by Dr Yulia Timofeeva with the co-applicant Prof Kirill Volynski (UCL Queen Square Institute of Neurology, London) and in close collaboration with a number of world-leading experimental laboratories working in the field of synaptic transmission and information processing in the brain, that are located in Europe, USA, Canada and Japan. The successful candidate should have a PhD, or equivalent, in applied mathematics/theoretical physics/computer science or a related discipline and should have excellent skills in scientific computing. Previous experience of research in computational biology or neuroscience is desirable. The working environment will be in the Mathematical Science Building, in the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER, https://warwick.ac.uk/fac/cross_fac/zeeman_institute/) For further details see https://www.dcs.warwick.ac.uk/~yulia/job_102287_109.html https://warwick.ac.uk/fac/sci/dcs/jobs/ Deadline for applications: 21 November 2019 -- __________________________________________ Dr Yulia Timofeeva Associate Professor Department of Computer Science and Centre for Complexity Science Warwick, UK Honorary Associate Professor UCL, Institute of Neurology London, UK Tel: 024 765 73786 http://www.dcs.warwick.ac.uk/~yulia/ __________________________________________

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COSYNE 2020: Abstract submission closes soon; Registration opens
by Tomas Hromadka 25 Oct '19

25 Oct '19

==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission closes soon! Abstract submission deadline: 31 October 2019 Workshop proposal deadline: 10 November 2019 Cosyne registration opens: 11 November 2019 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- WORKSHOP PROPOSAL DEADLINE: 10 November 2019 A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held in Breckenridge, CO, a ski village 80 miles west of Denver. Buses from the main conference will be provided. - Workshop speakers do *not* receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and Breckenridge staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): 1. Relevance to the Cosyne community 2. Integration of experimental and theoretical issues 3. Current interest in the topic in the scientific community 4. Potential for new research directions and interactions to emerge 5. Distinctive scope/approach compared to other workshops (including previous years’) 6. Diversity and equity in the proposed speakers PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - List of confirmed speakers and names of potential invitees. Preference will be given to workshops with confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2020 WORKSHOP CHAIRS Catherine Hartley (NYU) and Blake Richards (McGill) QUESTIONS email: workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Independent Postdoctoral Opportunity at Harvard: The George F. Carrier Fellowship
by Cengiz Pehlevan 24 Oct '19

24 Oct '19

Dear colleagues, Harvard has an independent postdoctoral position in widely applied mathematics, the George F. Carrier Fellowship. One of the areas of interest is computational neuroscience, details below. The application deadline for full consideration is Nov 15th, 2019. Please encourage qualified candidates to apply. Thank you in advance for your help. Best wishes, Cengiz —————— The Harvard John A. Paulson School of Engineering and Applied Sciences at Harvard University seeks applicants for an endowed honorific postdoctoral position in widely applied mathematics, the George F. Carrier* Fellowship, with an expected start date of September 1, 2020. The normal duration of the Carrier Fellow appointment is two years, with a potential extension to a third year, at an annual salary of $65,000. In addition, Carrier Fellows receive an annual allocation of $6,000 for research and travel expenses. We are looking for applicants interested in an opportunity for independent research that reflects the spirit of George Carrier’s approach and complements that of the current faculty in Applied Mathematics, broadly interpreted, including those in the Harvard Paulson School, the Department of Physics and elsewhere at the University. Current faculty interests are in applied mathematics in biological, earth science, engineering and physical contexts, and especially in soft materials, biophysics and neuroscience. For more information, see http://www.seas.harvard.edu/applied-mathematics <http://www.seas.harvard.edu/applied-mathematics> Candidates are required to have a doctorate or terminal degree in Applied Mathematics, Physics or a related area by the expected start date. Required application documents include a cover letter, statement of research interests, a CV (including a list of publications), and names and contact information for three references. We encourage candidates to apply by November 15, 2019, but applications will be accepted until the position is filled. Please apply through https://academicpositions.harvard.edu/postings/9368 <https://academicpositions.harvard.edu/postings/9368> Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. *George Carrier (1919-2002) was the T. Jefferson Coolidge Professor of Mathematics at Harvard, and one of the pre-eminent applied mathematicians of his generation. He had a special talent for describing complicated physical phenomena mathematically, and did so with great facility over a wide range of problems that included fluid dynamics, elasticity, combustion and natural hazards. For more see information, see http://www.news.harvard.edu/gazette/2002/03.21/08-carrier.html <http://www.news.harvard.edu/gazette/2002/03.21/08-carrier.html> -----------

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Gatsby Unit PhD Programme
by Maneesh Sahani 24 Oct '19

24 Oct '19

Gatsby Unit PhD: Training in theoretical and computational neuroscience and machine learning. Deadline: 17th November 2019 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study unsupervised, supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a purpose-designed building), with the cross-faculty Centre for Computational Statistics and Machine Learning (CSML), and with other world-class research groups in related departments at UCL including: Computer Science; Functional Imaging; Neuroscience, Physiology and Pharmacology; Psychology; Neurology; Ophthalmology; The Ear Institute; Statistical Science; and the nearby Alan Turing and Francis Crick Institutes. Students at the Gatsby Unit complete a four-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year, taught in conjunction with colleagues from the SWC and CSML, provide a comprehensive and intensive introduction to both fields. Students are encouraged to work and interact closely with peers and faculty in the SWC and/or CSML throughout their PhD, providing a uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality and current residence. The Unit also welcomes applicants who have secured or are seeking funding from other sources. Applications (including a CV, transcripts, statement of research interests, and letters from three referees) should be sent directly to admissions(a)gatsby.ucl.ac.uk. Only applications complete by the deadline are guaranteed full consideration; late applications will be entertained only if places remain unfilled. For further details of our programme and how to apply please see: http://www.gatsby.ucl.ac.uk/teaching/phd Further details of research interests are available from http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/Members.html. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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Faculty positions at Imperial College London
by Schultz, Simon R 24 Oct '19

24 Oct '19

Dear all, Please see below for this year's job round in the Department of Bioengineering at Imperial College London. While the positions are open with respect to area, I'd particularly like to encourage applications in the (broadly defined) area of neurotechnology. Location: London Salary: Internationally competitive Hours: Full Time Contract Type: Permanent Placed On: 24th October 2019 Closes: 17th November 2019 Job Ref: ENG01048 Are you seeking an academic appointment in bioengineering in a department which is leading the bioengineering agenda both nationally and internationally? If so, then this exciting, challenging and rewarding opportunity may be the next career step for you. Due to rapid growth and the strategic importance of the discipline of bioengineering at Imperial, the major new translational White City Campus, the flagship Michael Uren Biomedical Engineering Research Hub and national Dementia Research Institute Care Research & Technology Centre, the Department of Bioengineering wishes to appoint multiple outstanding academics at Lecturer or Senior Lecturer level. We invite applications from candidates across all areas of bioengineering, highlighting those that are synergistic with the research centres in our new translational campus: * Dementia Research Institute Care Research & Technology Centre, * Musculoskeletal Medical Engineering Centre, * Neuromuscular Rehabilitation Technology, * Cardiovascular Engineering, and * Wound Healing and Regeneration. Imperial College London is one of the world’s leading engineering focused universities and its mission is to achieve enduring excellence in both research and education, and we are committed to making life changing advancements for the benefit of society. The Department of Bioengineering is committed to this mission through advancing the frontiers of our knowledge, translating that knowledge for societal benefit, and educating leaders in the discipline’s three main areas: * BIOMEDICAL ENGINEERING (developing devices, techniques and interventions for human health) * BIOLOGICAL ENGINEERING (solving problems related to the life sciences and their applications for health) * BIOMIMETICS (using the structures and functions of living organisms as models for the design and engineering of materials and machines). In the most recent national research assessment, 95% of the Department's returned research was judged either world leading or internationally excellent and in the National Student Survey (2017) we achieved 97% overall student satisfaction. We are committed to building on this success through the recruitment of talented academic staff. We welcome applications from underrepresented groups such as female applicants. The posts will be based either at the South Kensington Campus or at the White City Campus, dependent on research area and facility requirements, on a full time, open ended basis. The departmental research activities may be found at: www.imperial.ac.uk/bioengineering<http://www.imperial.ac.uk/bioengineering> Closing Date: 17 November 2019 For an informal discussion please contact the Head of Department, Professor Anthony Bull - email: a.bull(a)imperial.ac.uk<mailto:a.bull@imperial.ac.uk> or telephone: 020 7594 5186. For further assistance, please contact Angela Glyes – email: a.glyes(a)imperial.ac.uk<mailto:a.glyes@imperial.ac.uk>. -- Simon R Schultz Professor of Neurotechnology Department of Bioengineering, Imperial College London South Kensington, London SW7 2AZ, UK Neural Coding Laboratory: http://www.schultzlab.org Director, Imperial College Centre for Neurotechnology Administrator: Dr Kate Hobson, Phone: +44 207 594 5101 http://www.imperial.ac.uk/neurotechnology

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Postdoctoral position in Computational Neuroscience, University of Exeter, UK,
by Roman Borisyuk 24 Oct '19

24 Oct '19

The University of Exeter is looking for a postdoctoral Research Fellow in computational modelling of central pattern generators. This 3-year project in collaboration with neurobiologists from the University of St Andrews is funded by BBSRC. Vertebrate neural circuits are not fixed into producing a single behaviour. They can dynamically change their activity to respond appropriately to changing situations. This project asks how networks can switch between different behaviours. Specifically, you will investigate the dynamic transition between rhythmic activity patterns in the spinal cord circuits of the tadpole. To do so you will develop reduced and detailed computational models of the tadpole neural circuits that produce swimming and struggling behaviours. You will use reduced models to analyse the dynamic transition between swimming and struggling and determine how coordination among oscillatory circuits changes at the transition. You will also build detailed models (both anatomical and functional) to determine how the intrinsic characteristics of the neurons and the network properties together produce each behaviour. You will be supported by our experimental collaborators who have determined neuronal properties and network connectivity with an exquisite level of detail. Predictions from your model simulations will be tested experimentally using an array of electrophysiology and imaging tools. The tadpole central pattern generators offer a unique system to ask how vertebrate networks can produce and switch between different behaviours: they are complex enough to generate different behaviours, but simple enough that we have detailed information to ground our models. For more information about this job and to apply, please follow the link https://jobs.exeter.ac.uk and enter keyword 70011 Enquiries: Dr Joel Tabak - j.tabak(a)exeter.ac.uk Prof Roman Borisyuk - r.m.borisyuk(a)exeter.ac.uk, r.borisyuk(a)plymouth.ac.uk ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Job Opening: Research Assistant Professor at Hong Kong Baptist University
by COMP HKBU 24 Oct '19

24 Oct '19

The Department of Computer Science at Hong Kong Baptist University is presently offering BSc, MSc, MPhil, and PhD programmes, and invites outstanding applicants for the following position. *Research Assistant Professor (PR0166/19-20) * The position is created and funded as part of the strategic research development initiatives in the Department. The appointee will be provided with a conducive research environment, and will work within an established group of faculty members in the Department. They are expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and have abilities to conduct high-quality research in one of the Department's key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. These key research areas have a special thematic focus on (a) health informatics, and (b) secure and privacy-awareness computing related applications. Initial appointment will be made on a fixed-term contract up to three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk More information about the Department can be found on its website at http://www.comp.hkbu.edu.hk. *Salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and appointment will be made according to the terms and conditions then applicable at the time of offer. *Closing date: 25 November 2019 (or until the position is filled)* URL: http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=540

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Workshop announcement: HBP CodeJam #10
by Luca Leonardo Bologna 23 Oct '19

23 Oct '19

Dear colleagues, You are invited to participate in: ---------------------------- The HBP CodeJam #10 Workshop Nov. 26, 2019 at 09:00 - Nov. 28, 2019 at 18:00 - Heidelberg | Germany https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Early-bird registration ends *31st October!* ---------------------------- The goal of the CodeJam workshops 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. While the mornings are dedicated to invited and contributed talks, the afternoons are free for discussions, tutorials and code sprints. This year's theme is "Integration". It is aimed to gather scientists, students and engineers from different disciplines collaborating to build a highly integrated research infrastructure for computation-based neuroscience, and to show how this infrastructure can be used to model brain circuits, behaviour and learning, develop novel bio-inspired computing systems, and help discover new drugs for neurological disorders. Confirmed speakers: Mihai Andrei, CODEMART, Cluj-Napoca, Romania Axel von Arnim, fortiss GmbH, Munich, Germany Luca L. Bologna, Italian National Research Council, Italy Claudia Casellato, University of Pavia, Italy Andrew Davison, French National Centre for Scientific Research, France Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Allan Francani, EPFL, Switzerland Alberto Antonietti, University of Pavia, Italy Thanasis Karabatsis, National and Kapodistrian University of Athens, Athens, Greece Kostis Karozos, Athens University of Economics and Business (AUEB). Athens, Greece Michael Hines, Yale University, USA Christian Mauch, Heidelberg University, Germany Johannes Schemmel, Heidelberg University, Germany Philipp Spilger, Heidelberg University, Germany Lorenzo Vannucci, Instituto di BioRobotica, SSSA, Pisa, Italy Jonathan Villemaire-Krajden, EPFL, Switzerland Programme Committee Andrew Davison, French National Centre for Scientific Research, France Luca L. Bologna, Italien National Research Council, Italy Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Bernd Schuller, Forschungszentrum Jülich, Germany Evita Mailli, National and Kapodistrian University of Athens, Greece Eric Müller, Heidelberg University, Germany Egidio Falotico, Sant'Anna School of Advanced Studies, Italy Martina Schmalholz, Heidelberg University, Germany Please visit the event website https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… to learn more and register. Places are limited, so early registration is recommended. Best regards, Luca Leonardo Bologna

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Open position in Juelich: Scientific coordinator in Computational Neuroscience in Juelich, Germany
by Martina Reske 21 Oct '19

21 Oct '19

Dear comp-neuro The Institute of Neuroscience and Medicine (INM) at Research Center Jülich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The Supercomputing Centre is home of one of the most powerful machines and has a leading role in the European exascale strategy. Basic neuroscience connects the two research areas as it heavily relies on modeling and simulation, which are necessary to approach the brain’s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. The subinstitute INM-6, Computational and Systems Neuroscience ( https://www.fz-juelich.de/inm/inm-6/EN/Home/home_node_INM6.html ), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. Among others, the INM-6/IAS-6 is actively involved in the EU flagship project „Human Brain Project“ (HBP, https://www.humanbrainproject.eu ). Together with its partners, INM-6 develops analysis tools and the leading simulation code (NEST) for brain scale networks with cellular resolution in an open source approach ( http://www.nest-initiative.org ). NEST has been under continuous development for 20 years and is serving a worldwide community. We are looking to recruit a Scientific Coordinator Your Job: * Supervision and controlling of administrative aspects of third party funded projects, incl. monitoring of project milestones, collecting and providing material for scientific reports, among others in EU projects in close collaboration with scientists, for instance within the Human Brain Project * Supporting the heads of the subinstitute in all scientific and administrative matters, incl. the recruitment of staff members * Collection, processing and evaluation of information relevant for the research strategy * Support of drafting of research proposals and grants * Organisation as well as professional and content-related preparation and monitoring of project-relevant events/meetings (e.g. meetings with internal and external cooperation partners, guest visits, conferences, workshops, reviews and committee meetings) * Communication with international research partners * PR work and social media: Support in the production of PR material and the presentation of scientific content in social media channels Your Profile: * Completed study in natural sciences, ideally with PhD * Experience in neuroscience, physics or computer science * Experience in administration of third-party funded projects * Strong organizational skills and multitasking capability * Ability to approach tasks with an eye toward efficiency and reproducibility * High communication skills and ability to work in a team * Excellent verbal and written forms of expression in both, German and English, especially with regard to drafting scientific and administrative texts * Ability to work under pressure, assertiveness and empathy * Skilled in software on project planning, text processing (Latex, Word), presentations (Powerpoint), scheduling of dates and websites * Willingness to travel * High ability to work in interdisciplinary, international team Beneficial: * Work experience abroad * Expertise in Computational Neuroscience * Professional experience in above-mentioned areas of responsibility Our Offer: * Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf and Aachen * International and interdisciplinary working atmosphere * Responsibility in world-class science environment at the interface between neuroscience and technology on the most complex known systems * High visibility through participation in an Open Source community project and work on key technologies of the European Human Brain Project * Integration into a interdisciplinary and international institute * A comprehensive further training programme * Flexible working hours and various opportunities to reconcile work and private life * Possibility, to apply for the desired level of working hours from 50% to a full position * Limited for 2 years with possible longer-term prospects * 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 particularly welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application until 12.11.2019 via our online recruiting system, https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf… quoting the reference number 2019-374. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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SCiNDU 2020 Conference Announcement
by Geoffrey Goodhill 19 Oct '19

19 Oct '19

3rd SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) CONFERENCE January 29-31, 2020 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Abstract submission deadline Nov 15th 2019 Invited speakers: Matilde Balbi (University of British Columbia / University of Queensland) Tony Burkitt (Melbourne University) Gwyneth Card (Janelia) Kai-Hsiang Chuang (University of Queensland) Barry Dickson (Janelia / University of Queensland) Alex Fornito (Monash University) Takao Hensch (Harvard University, TBC) Vinod Menon (Stanford University) Lucy Palmer (Florey Institute) Nicholas Price (Monash University) Linda Richards (University of Queensland) Tatyana Sharpee (Salk Institute) Bruno van Swinderen (University of Queensland) Stephen Williams (University of Queensland) For registration, accommodation and abstract submission information please see http://www.qbi.uq.edu.au/scindu 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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Postdoc openings in the Lefebvre lab at uOttawa
by J?r?mie Lefebvre 18 Oct '19

18 Oct '19

The Lefebvre lab at uOttawa is recruiting two postdoctoral fellows for the Winter 2020. Candidates interested in computational neuroscience, brain imaging and applied mathematics are encouraged to apply. Selected candidates will be involved in the following projects: 1. In collaboration with the Griffiths Lab at the CAMH Krembil Center for Neuroinformatics (KCNI) and University of Toronto, the goal of the project is to develop, analyse and explore computational models of non-invasive brain stimulation (e.g. TMS, TES) and their impact on multi-scale neural activity. Specifically, we seek to better understand network-based mechanisms of neural control, oscillatory entrainment and/or stimulation-induced brain plasticity. This project involves a combination of computational and mathematical modelling, has strong potential for knowledge translation, and aims to help inspire new non-invasive treatments for Major Depressive Disorder (MDD). 1. In collaboration with the Hospital for Sick Children (SickKids) in Toronto, the goal of this project is to better understand mechanisms of white matter plasticity, neuron-glia interactions, myelination and its impact on brain function. Using a combination of modelling and simulations, interfacing rodent and human data, the role of the fellow will be to examine the influence of white matter plasticity on neural synchrony and memory. This project involves a combination of computational and mathematical modelling, and strong interactions with experimentalists. The research will take place in the Department of Biology, the Brain and Mind Institute and the Center for Neural Dynamics of the University of Ottawa, a vivid interdisciplinary research cluster set in the bilingual capital of Canada. Both projects are deployed in the Ottawa-Toronto axis, through close collaborations between uOttawa, uToronto, CAMH KCNI, The University Health Network and The Krembil Research Institute. Based on the research needs and resources, candidates will be required to travel between both cities often. Throughout, candidates will interact closely with clinicians, experimentalists and scholars in neuroimaging. Requisites: Candidates should have completed their PhD in physics, mathematics, neuroscience or related disciplines, and have an excellent publication track record. Expertise in programming is a necessity, as well as independence in research. Experience in brain imaging, signal processing and dynamical systems are considered strong assets. Contracts are for one year, with possibility of extension subject to sufficient progress. of one additional year. While the positions are fully funded, candidates are nonetheless expected to apply for external/competitive funding throughout their training. To apply, please send 1) a letter of interest, 2) a full CV and 3) two(2) letters of reference to jeremie.lefebvre(a)hotmail.com<mailto:jeremie.lefebvre@hotmail.com> before Dec 1st , 2019. Selected candidates will be contacted for an interview in December. Jeremie Lefebvre PhD Scientist | Krembil Research Institute, University Health Network Assistant Professor | Department of Mathematics, University of Toronto Assistant Professor (cross appointed)| Institute for Biomaterial and Biomedical Engineering, University of Toronto Krembil Discovery Tower, 60 Leonard Ave, Room 4KD509, Toronto, M5T2S8, Canada Phone: +1 (416) 507-6935 Fax: +1 (416) 603-6274

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Head of the "Machine Learning Transfer Center"
by Philipp Berens 17 Oct '19

17 Oct '19

The Cluster of Excellence "Machine Learning: New Perspectives for Science" at the University of Tübingen offers a position as Scientific Head of the central Cluster Facility "Scientific Transfer Center" (100%) to be filled as soon as possible. The position is initially limited until December 31, 2025, with the option of a tenured position. The Transfer Center will be a new facility of the Cluster of Excellence, intended to act as an interface between the Cluster and the various Departments of the University. The Scientific Head is going to promote the transfer of knowledge from the field of machine learning within the Cluster of Excellence to other Departments of the University and to help establishing links between scientific application domains and the research in the area of machine learning. YOUR TASKS - To counsel scientific projects from a variety of disciplines on questions in the field of machine learning - To develop prototypes for standard use cases of machine learning - To initiate networking events between researchers in the field of machine learning and scientific application domains - To develop a (small number of) special courses that introduce machine learning to doctoral students and scientists from other disciplines - To supervise the other scientists employed at the Transfer Center If you enjoy supporting scientific projects at the interface between machine learning and other fields of science, then this is the place for you. The position offers quite a lot of creative freedom. The opportunity to participate in publications is given, but is not the primary goal of the position. The Transfer Center will concentrate on the transfer of machine learning methods to other fields of science. Target persons are doctoral students and scientists from other disciplines. Teaching in Bachelor's or Master's degree programs and transfer to industry will explicitly not be the scope of the Transfer Center. YOUR PROFILE - A doctorate in machine learning or data science and a background in computer science, physics, mathematics or a similar field - Good communication skills with different people - You enjoy working on machine learning problems in different contexts. You are curious about research in various scientific disciplines - Programming experience in the common languages (Python, R, C++) - Experience in project management Further information on the Cluster of Excellence can be found at www.ml-in-science.uni-tuebingen.de. Applications with the usual documents (cover letter, curriculum vitae, copies of certificates, list of publications) are requested by November 08, 2019 in electronic form (as a single PDF, not exceeding 5 MB) to the Central Office of the Cluster of Excellence (ml-in-science(a)uni-tuebingen.de) Please also direct any questions regarding this advertisement to the Central Office. ml-in-science(a)uni-tuebingen.de - www.ml-in-science.uni-tuebingen.de https://www.academics.de/jobs/preview/1015018?preview_id=_GfViDrGixL5dwP6Y5… -- Prof. Dr. Philipp Berens Institute for Ophthalmic Research, University of Tübingen Excellence Cluster "Machine Learning - New Perspectives for Science" http://www.berenslab.org phone: +49-7071-2988833

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PhD posittion in machine learning for closed-loop deep brain stimulation
by Sebastián Castaño C. 17 Oct '19

17 Oct '19

Dear mailing-list members, We are looking for a motivated student to work with us at the Brain State Decoding lab, University of Freiburg, Germany! Specifically, we have an open PhD position for investigating machine learning methods for closed-loop deep brain stimulation systems in Parkinson's disease patients. Find the full proposal under https://www.bsdlab.uni-freiburg.de/jobs/phd-position-closed-loop-control-fo… and apply to work with us! Best on behalf of the lab, Sebastian Castaño-Candamil Doctorate student Brain state decoding lab University of Freiburg E // sebastian.castano(a)blbt.uni-freiburg.de (mailto:sebastian.castano@blbt.uni-freiburg.de)

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CFP: FOSDEM 2020 Open Research Tools & Technologies track
by Achilleas Koutsou 16 Oct '19

16 Oct '19

This is a *Call for Proposals* for the *Open Research Tools & Technologies* devroom/track at FOSDEM 2020. Web version: https://research-fosdem.github.io/ For the first time at FOSDEM, we are organising a track for the tools and technologies being used in and developed for researchers and scientists and the unique challenges surrounding these topics. FOSDEM (Free and Open source Software Developers' European Meeting) is a non-commercial, volunteer-organised European event centred on free and open-source software development. It is aimed at developers and anyone interested in the free and open-source software movement. It aims to enable developers to meet and to promote the awareness and use of free and open-source software. More info: https://fosdem.org/2020/about/ https://en.wikipedia.org/wiki/FOSDEM The *Open Research Tools & Technologies* devroom is a track dedicated to bringing together developers of research tools with users, potential future contributors, and developers of the wider FLOSS community to discuss the unique challenges for these particular areas of software development. We aim to: - Allow knowledge-based tool developers to publicise their efforts and become aware of other FLOSS projects. - Facilitate the pooling of coding efforts on (often poorly funded) tools. - Create a network where otherwise isolated developers and research engineers can share common concerns. - Provide social recognition for people who work in fields where designing and developing tools does not produce the traditionally recognisable outcomes, e.g., research papers. We seek talks about: - New software releases of research tools or technologies. - Feedback on open technology stacks used in research contexts (e.g., scientific research, journalistic inquiry, archive creation or publication, etc.) which collect, analyse, document, visualise, and/or share data. - Tool design and implementation for specific research contexts, e.g., how to hold an algorithm accountable to social scientists, how to foster better replicability and interoperability thanks to FLOSS, how to cope with biases of a chart for a data journalist, etc. - Issues and opportunities about bridging tech culture with research environments (research labs, libraries, newsrooms, museums, etc.). Talks will be around 20-40 minutes long + 5-10 minutes Q&A, must be in English, will be video recorded by the amazing FOSDEM staff and will be available on the FOSDEM video recordings archive. *Time and place:* Saturday 1st February 2020 from 10:30 to 19:00 ULB, Brussels, Belgium *How to submit proposals* *By submitting a proposal you agree to being recorded and to have your talk made available.* *Deadline:* Sunday 1st December 2019 23:59 CET Submissions must include: - Abstract - Session type (Lecture or Lightning talk) - Session length (20-40 min, 10 min for a lightning talk) - Expected prior knowledge / intended audience - Speaker bio The following information may also be provided but is optional: - Links to code / slides / material for the talk - Links to previous talks by the speaker Submission process is managed in the Pentabarf system used by the FOSDEM conference. Apply for a talk: https://penta.fosdem.org/submission/FOSDEM20 When submitting your talk in Pentabarf, make sure to select the *Open Research Tools and Technologies Devroom* as the Track. If you already have a Pentabarf account from a previous FOSDEM event, please reuse it. Feel free to contact me directly for any questions or concerns: koutsou(a)biologie.uni-muenchen.de <koutsou(a)bio.lmu.de> *Other devrooms that might be of interest* Even if FOSDEM is not science-specific, you might be interested by many other talks. Some developer rooms (tracks) that may be relevant to the interests of this mailing list: - HPC, Big Data, and Data Science - Graph systems and algorithms - Open source design - Community *Developer room organisers* Achilleas Koutsou, G-Node, http://g-node.org https://github.com/achilleas-k Michael Sonntag, G-Node, http://g-node.org https://github.com/mpsonntag Paul Girard, Sciences Po médialab, https://medialab.sciencespo.fr/equipe/paul-girard https://github.com/paulgirard Mathieu Jacomy, Aalborg University TANT Lab, https://www.tantlab.aau.dk/ https://github.com/jacomyma

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Postdoctoral position on computational modelling: interfacing models with nanoarrays to drive cultured neurons
by Yiota Poirazi 16 Oct '19

16 Oct '19

1-2 Postdoctoral positions are available in the lab of Panayiota Poirazi ( www.dendrites.gr) in Crete, starting on January 1st, 2020. The positions are for 2 years, with a possibility of renewal for another 2 years. Salary is commensurate with experience. The successful applicant will work on a multi-disciplinary project funded by the FET (Future and Emerging Technologies) Open Instrument of the European Innovation Council. The NEUREKA project aims to develop a new prototype technology that can be used for drug discovery for neurological diseases. In this new hybrid technology, computational neuronal networks that simulate dysfunction will drive cultured neurons to replicate neuropathologies. A proof-of-concept will be provided for Alzheimer’s disease, using human (iPSC)-derived neurons while testing the effects of novel drug candidates. The NEUREKA partners include the University of Padua (Prof. Vassanelli), CNRS (Prof. Larrieu), the University of Milano Bicocca (Prof. Fanciulli) and Maxwell Biosystems. Pharma advisors include Roche and Cognition Therapeutics Inc. For more information please visit: http://www.dendrites.gr/en/openings-11 Applications (full CV, statement of research interest and name and contact of 2-3 referees) should be sent by e-mail to poirazi(a)imbb.forth.gr, quoting “NEUREKA: Postdoctoral position” in the subject line. The deadline for applications is *November 30th, 2019*. Applications will be examined until the position is filled. Informal enquiries are welcome. -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

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Post-doctoral Researcher in Computational modelling of hippocampal circuits (Blue Brain Porject, Switzerland)
by Armando Romani 16 Oct '19

16 Oct '19

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of hippocampal circuits*. Improve the existing large-scale models of rodent hippocampus. The current network models are already the product of several iterations and their emergent behavior can reproduce many features of the hippocampus. The work on the models continues by expanding the region of interest from CA1 (the first region we considered) to the full hippocampus, and eventually by connecting the hippocampus to the rest of the brain. In parallel, the models will include more or more details. For example, we are working on including gap junctions, long-term plasticity, structural plasticity, neuromodulation, glia, vasculature, and so on. Exploit the models to answer outstanding questions in the field, such as information processing in the hippocampus, spatial navigation, memory processes, development of pathological conditions (Alzheimer’s disease, epilepsy). The models are designed not to answer one specific question, but for a general purpose. This ensures a larger validity of the models and allows us to potentially test many different hypotheses and make likewise predictions. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/1005/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

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Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits (Blue Brain Porject, Switzerland)
by Armando Romani 16 Oct '19

16 Oct '19

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a* Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits*. The goal of this project is to leverage the Blue Brain software and existing thalamic models to build and validate biologically-accurate models of thalamo-cortical circuitry. Modelling these circuits is a crucial step to investigate brain functions, such us sensory transmission, sleep rhythms, wakefulness, alertness. The successful candidate would be responsible for gathering data about thalamo-cortical circuits from the literature, open-access datasets and in vitro studies in collaboration with the experimental lab. Interactions with biology and experimental experts would be fundamental to validate and confirm model predictions. In addition, the candidate would provide guidance and scientific expertise to the technical teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. Furthermore, the candidate will work in collaboration with engineering teams on visualization, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/827/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

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Human Neocortical Neurosolver New Features & SFN 2019 Demos
by Stephanie Jones 16 Oct '19

16 Oct '19

We are happy to announce several exciting developments with the new Human Neocortical Neurosolver (HNN) software designed for cell and circuit interpretation of human EEG/MEG. 1. An updated version of HNN with a new, frequently requested feature of parameter optimization (with a tutorial) is now available. Check it out at hnn.brown.edu. 2. HNN will be presented with live demonstrations at SFN 2019 in Chicago, IL. Sunday October 20th 11-11:30am Carney Booth 2129 Sunday October 20th 6:30-8:30pm BRAIN Initiative Alliance Tools & Technology Social Hyatt Regency McCormick Place, Ballroom CD Monday October 21th 11-11:30am Carney Booth 2129 Monday October 21st 6:45pm Open-Source Technology Social Hyatt Regency McCormick Place, Room N135 Wednesday October 23rd 1-5pm McCormick Place: Hall A. Poster 729.06 3. A HNN methods paper is now available on bioRxiv (Neymotin et al, BioRxiv 2019:740597. https://doi.org/10.1101/740597 <https://doi.org/10.1101/740597>) ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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AREADNE 2020 Conference Announcement
by John Pezaris 15 Oct '19

15 Oct '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 The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal yet spectacular setting on Santorini. The conference series emphasizes interaction with a size and pace that encourages in-depth discussion. Interested researchers are strongly encouraged to submit an abstract for poster presentation as attendance is strictly limited, and the conference typically sells out. Abstract submission deadline is 24 Jan 2020. Send us your best work!

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