- Comp-neuro - lists.cnsorg.org

Bernstein Conference 2020 – registration now open
by a.dorrn＠fz-juelich.de Aug. 4, 2020

Aug. 4, 2020

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year’s Bernstein Conference will take place September 29 - October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020. www.bernstein-conference.de<https://bit.ly/BC_online> ____ NEWS · Registration is now open: bit.ly/BC20_Registration<https://bit.ly/BC20_Registration> · Participation will be free of charge · Abstract submission deadline is approaching on August 21 Please find more information here: bit.ly/BC20abstracts<https://bit.ly/BC20abstracts> · Program for online Bernstein PhD symposium is now online: bit.ly/bc20_phd<https://bit.ly/bc20_phd> ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerrané, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'école normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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3- or 4-yearpostdoc position available for analysis of large neural data
by Benjamin Dunn Aug. 3, 2020

Aug. 3, 2020

Funded by the Norwegian Research Council, the available position is part of a collaborative project on personalized rehabilitation of stroke patients evaluated with multimodal quantitative tools (PROTEQT). The selected candidate can start as early as October 1st, 2020. She or he will be part of a research group focused on neural data science at the Department of Mathematics at NTNU. We have a wonderful group and surrounding community. Norway is lovely (especially now). This position is for the development of methods to analyze neural data -- in particular, to compare across subjects and describe changes as the underlying network develops (e.g. during recovery from a stroke). The main datasets are multimodal MRI, to be analyzed in collaboration with another postdoc and PhD student. There is also other data around and plenty of room for theoretical work. Email me at benjamin.dunn(a)ntnu.no if you have any questions. Please apply here: https://jobbnorge.no/en/available-jobs/job/190466/postdoctoral-fellowship-i… Note the deadline: August 20th Here are some publications: https://scholar.google.com/citations?user=hAjFjXkAAAAJ&hl=en And an example of something we are working on: https://youtu.be/Hlzqvde3h0M Thanks, Ben

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postdoc position in systems neuroscience: translational project to study sleep and memory
by Carmen Varela Aug. 3, 2020

Aug. 3, 2020

*We are opening a postdoctoral position to investigate non-invasive approaches to enhance sleep oscillations and memory function in rats. *This translational project is part of a collaboration between the laboratories of Dr. Carmen Varela (Psychology Department, Florida Atlantic University, FAU; https://www.varelalab.org/) and Dr. Dara Manoach (Massachusetts General Hospital-Harvard Medical School). The project will be conducted at FAU and it will involve frequent interaction with collaborators in Boston. The postdoc will gain expertise in systems and translational neuroscience using electrophysiology (cell ensemble and LFP recording with high-density probes) and behavior in rodents, as well as expertise on the mechanisms underlying normal and disrupted sleep-dependent memory consolidation processes and the use of non-invasive technologies to regulate them. *Requirements:* PhD with experience in electrophysiology and rodent models; outstanding interpersonal skills and motivation to work in a collaborative environment. Experience with MATLAB (or other programming languages) preferred. Candidates selected for an interview will be asked to provide contact information for three references. *Anticipated start day in January 2021. * One year with possibility of extension. Interested applicants, please submit your curriculum to Carmen Varela: varelac(a)fau.edu FAU is an equal opportunity/affirmative action institution 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 veterans’ status or any other characteristic protected by law. Best, *Carmen Varela, Ph.D.* Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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DeepMath 2020: call for abstracts
by Kamesh Krishnamurthy July 30, 2020

July 30, 2020

Dear all, We are now accepting abstract submissions to the 2020 Conference on the mathematical theory of deep neural networks (DeepMath). DeepMath is a highly interdisciplinary conference focused on understand fundamental theory driving the empirical success of Deep Learning. We are excited for this year's diverse set of invited speakers (see https://deepmath-conference.com for more information) and invite additional contributions from the community. Due to ongoing concerns about Covid-19, this year’s DeepMath conference will be conducted virtually. We are presently working on finalizing an online format that will seek to capture the small, community-focused experience of past DeepMath events. Important updates related to submission and registration are included below: == Submissions == We are still accepting submissions for virtual “posters” consisting of a pre-recorded talk and Q&A session. Similarly to last year, a selected number of top posters will be invited to present their work live as contributed talks. == Registration == Participation in the conference will require registration costing a nominal fee. We are working to keep costs as low as we can given the online nature of the event. As with last year, all talks will be live-streamed for free. More information on submissions can be found at the DeepMath website at https://deepmath-conference.com/submissions Warmest regards, The DeepMath Organizing Committee

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Postdoctoral position to study the neural circuit of social behavior
by Hong, Weizhe July 30, 2020

July 30, 2020

The Hong Lab at UCLA (hong-lab.com) is looking for a new postdoc to study the neural circuit of social behavior in mice. We are particularly interested in candidates with expertise in systems and/or computational neuroscience. Social interactions between individuals and among groups are a hallmark of human society as we know it and are critical to the physical and mental health of a wide variety of species including humans. Impairment of social function is a prominent feature of many neuropsychiatric disorders such as autism spectrum disorders and schizophrenia. Nonetheless, many fundamental questions regarding the neural mechanisms underlying social behavior remain unanswered. The central goal of Weizhe Hong’s laboratory is to study general principles of how social behavior is regulated in the brain. We take a multi-disciplinary approach and uses a variety of experimental and computational technologies across molecular, circuit, and behavioral levels. We are interested in how neural dynamics regulates social behavioral decisions within a single brain as well as how emergent inter-brain neural properties arise from social interactions between individuals. For more information, please visit hong-lab.com. Recent publications: 1. Kingsbury L, Hong W. (2020) A multi-brain framework for social interaction. Trends in Neurosciences. doi: 10.1016/j.tins.2020.06.008. (Review) 2. Kingsbury L, Huang S, Raam T, Ye LS, Wei D, Hu R, Ye L, Hong W. (2020) Cortical representations of conspecific sex shape social behavior. Neuron. doi: 10.1016/j.neuron.2020.06.020. 3. Chen PB, Hu RK, Wu YE, Pan L, Huang S, Micevych PE, Hong W. (2019) Sexually dimorphic control of parenting behavior by the medial amygdala. Cell. 176, 1206-1221. 4. Kingsbury L, Huang S, Wang J, Gu K, Golshani P, Wu YE, Hong W. (2019) Correlated neural activity and encoding of behavior across brains of socially interacting animals. Cell. 178, 429-446. 5. Chen P, Hong W. (2018) Neural circuit mechanisms of social behavior. Neuron. 98, 16-30. (Review) 6. Wu YE, Pan L, Zuo Y, Li X, Hong W. (2017) Detecting activated cell populations using single-cell RNA-seq. Neuron. 96, 313-329. -- Weizhe Hong, Ph.D. Associate Professor Department of Biological Chemistry Department of Neurobiology David Geffen School of Medicine University of California, Los Angeles Graduate Program Affiliations: Neuroscience PhD Program at UCLA Bioengineering PhD Program at UCLA Bioinformatics PhD Program at UCLA Molecular, Cellular, and Integrative Physiology PhD Program at UCLA ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Online tutorial on Brian simulator: Aug 7th, 2-6pm BST
by Dan Goodman July 30, 2020

July 30, 2020

The Brian team will be running an online tutorial for Brian on August 7th, 2-6pm BST (=UTC+1). Please do come along or get your students/postdocs to come along. Registration is required but free (to prevent zoombombing), at the link below: https://www.eventbrite.co.uk/e/brian-online-tutorial-tickets-115336320038 You'll get an email with a link to an 'event details' page with the Zoom URL. Please don't share this online to help prevent zoombombing. This is an experiment for us, if it's successful we might turn it into a regular thing. For the moment, the content of the tutorial is not decided. Have your say here: https://twitter.com/neuralreckoning/status/1288768229591207938 And, if you're an experienced Brian user and would like to volunteer to help - get in touch! Thanks, Dan

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PhD position in network neuroscience at University of Sussex
by Luc Berthouze July 29, 2020

July 29, 2020

Applications are invited for a fully-funded PhD scholarship to undertake research in network neuroscience at the University of Sussex. A number of conditions, such as Parkinson’s Disease, are referred to as ‘oscillopathies’ because there is evidence that some of their major symptoms are underpinned by pathological synchronisation of neurons in key networks. A promising form of treatment is that of online control of deep brain stimulation based on computational processing of brain signals. Therefore, new mathematical insights about how to detect and efficiently disrupt pathological processes can be rapidly translated to patient benefit. Using models of oscillations on networks, this project will seek to investigate the conditions (either on the oscillators themselves, or the connectivity, or factors that may frustrate the interplay between dynamics on and dynamics of the network) under which pathological oscillations in one small area of the brain can intermittently or otherwise ‘infect’ the wider network of the brain causing the pathological symptoms. This project will involve an active collaboration with Dr Simon Farmer at University College London (UCL). This 3-year studentship includes student fees and a tax-free stipend starting at £15,285 per annum. It also comes with a generous Research Training Support Grant. Start date is flexible. Eligibility All nationalities are eligible to apply for this studentship. You should have a first-class honour degree or equivalent, or an MSc degree (preferably), in Computer Science, Mathematics or Physics (or relevant disciplines). You will have (and enjoy using) strong analytical skills as well as excellent programming skills in at least one of C++, Python, Matlab. Applicants interested in the post, seeking further information or feedback on their suitability are encouraged to contact me. All applications must be made via http://www.sussex.ac.uk/study/phd/apply where you will find details of entry requirements. Please clearly state on your application form that you are applying for 'Dynamics on/of networks and oscillopathies'. Luc Berthouze Professor of Complex Systems University of Sussex

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2020 Big Data Neuroscience *free* Workshop Invitation
by Franco Pestilli July 29, 2020

July 29, 2020

Dear All. We are organizing the 2020 Big Data Neuroscience workshop as an online event. It will be a 1-day event with 4 keynote speakers, software demos, and a series of lightning talks. http://neurosciencenetwork.org/ACNN_Workshop_2020.html We would like to invite you to register for the FREE event and consider signing up for a lighting talk. You are welcome to share this announcement broadly. Best regards, Franco *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | github <https://github.com/francopestilli> | brainlife.io

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postdoc position in model-based fMRI at Harvard (Gershman/Buckner labs)
by Sam Gershman July 29, 2020

July 29, 2020

The Gershman (gershmanlab.webfactional.com) and Buckner ( https://cnl.rc.fas.harvard.edu/) labs at Harvard University are seeking a postdoctoral fellow to work on a longitudinal functional MRI project. The aim of this project is to understand how computationally defined phenotypes change across time, and how these changes map onto dynamic functional networks in the human brain. Candidates must have a strong background in fMRI research and statistical analysis. Experience with computational cognitive modeling is preferred but not required. The start date for this position is on or around February 1, 2021, but this can be flexibly adjusted as needed. The position is fully funded for 2 years, with a possible extension to a 3rd year contingent on funding. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Interested applicants should contact Sam Gershman (gershman(a)fas.harvard.edu) along with a CV and list of references.

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Tenure-track / tenure-eligible computational neuroscience PI position at NIMH
by Atlas, Lauren (NIH/NCCIH) [E] July 28, 2020

July 28, 2020

https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-tenure-trac… Job Vacancy Announcement - Tenure-Track/Tenure Eligible Investigator, Computational Neuroscientist Department of Health and Human Services National Institutes of Health National Institute of Mental Health Division of Intramural Research Programs Tenure-Track/Tenure Eligible Investigator Computational Neuroscientist The Division of Intramural Research Programs (DIRP) of the National Institute of Mental Health (NIMH), National Institutes of Health (NIH), invites outstanding individuals to apply for a tenure-track/tenure eligible position in computational neuroscience. The NIMH DIRP has one of the largest systems and clinical neuroscience research communities in the world. Research groups work across species including drosophila, mice, rats, monkeys and humans. Facilities include a state-of-the-art high-performance computing facility as well as a rodent behavior core and high-field neuroimaging. The DIRP is a highly interactive research environment, and there are numerous opportunities for collaborative research within NIMH as well as with the broader NIH community. The successful individual will create and direct an independent research program on theoretical models of brain mechanisms of behavior. Example areas of research include but are not limited to -- reinforcement learning; decision making; theoretical accounts of neuromodulatory systems including dopamine, serotonin and norepinephrine; nonlinear dynamical systems; and neural plasticity and learning. We are particularly interested in individuals who have a demonstrated interest in computational psychiatry, developing models of human psychopathology, and collaborations with clinical groups focused on mental illness within the DIRP and broader research community. Research programs should focus on theory development but may also include experimental work that tests theoretical models. The unique investigator-based DIRP research support package encourages the development of a coherent, long time-horizon scientific program focused on generating deep insights into complex problems. Candidates must have earned a Ph.D. or M.D. and will have demonstrated experience as an outstanding independent investigator. An individual selected for the position is expected to build a dynamic and productive research laboratory, mentor and train scientists, and make use of the excellent opportunities for collaborative, translational, and high-risk/high-reward science available at the NIH. Laboratory space and startup funds, access to shared research facilities, and on-going research support are competitive with premier academic institutions. Salary is commensurate with experience and accomplishments and a full Civil Service package of benefits (including retirement, health, life and long-term care insurance, and a Thrift Savings Plan) is available. Applicants should send a curriculum vitae (CV), bibliography, statement of research interests, and three letters of reference to: Susan G. Amara, Ph.D., National Institute of Mental Health, c/o Jane Schriver via email to Jane.Schriver(a)nih.gov<mailto:Jane.Schriver@nih.gov>, indicating “ Computational Neuroscientist Recruit” in the subject line. Please include in your CV a description of your mentoring and outreach activities, especially those involving women and persons from racial/ethnic or other groups that are underrepresented in biomedical research. Applications will begin to be reviewed in August 2020 and continue until the position is filled.

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