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Test Email
by Shailesh Appukuttan Oct. 14, 2022

Oct. 14, 2022

This is a test email for maintenance purposes. Please ignore. Cheers, Shailesh Appukuttan *OCNS Webmaster*

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Up to 6 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy, to start Oct, 2020
by Alessandro Treves Oct. 12, 2022

Oct. 12, 2022

SISSA is an elite postgraduate research institution located in Trieste, Italy, and focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is very inter–disciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational and mathematical models. Students with diverse backgrounds (physics, math, medicine, psychology, biology) are most welcome to apply. The Department has an exceptional track record with highly competitive funds (recent funding includes 4 ERC and 3 Human Frontiers grants) and publication in top journals (Nature, Science, PNAS, Current Biology). Recent placements after PhD include Harvard, MIT, Columbia and Princeton in the US; the NTNU, Manchester and Radboud in Europe; and Sydney University, Australia. Our alumni have been awarded 4 ERC grants, the 2015 Kandel Young Neuroscientist Prize and the 2017 ICTP Prize. More information about the Department is available at our website https://phdcns.sissa.it. The selection procedure is now open; to learn how to apply, please visit https://phdcns.sissa.it/admission-procedure. Please contact the PhD Coordinator (davide.crepaldi(a)sissa.it) and/or your prospective supervisor for more information and informal enquiries. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623

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PhD positions available in ML-flavoured neural modelling
by Goodman, Daniel F M Oct. 11, 2022

Oct. 11, 2022

If you're interested in doing a PhD with me in using ML techniques to explore neuroscience questions with spiking neural networks, etc. Please get in touch. Application process: http://neural-reckoning.org/openings.html To get a quick idea of whether or not you're interested, check out this paper. Basically if you like this, you'd be at home. http://neural-reckoning.org/pub_heterogeneity.html Dan If you are interested in a future where access to and participation in research are equitable and open to all, please take a moment to read and sign our open letter to the White House Office of Science and Technology Policy<https://ostp-letter.github.io/why.html>. Your support can make a real difference to the future of research.

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The Donders Institute is looking for a new Scientific Director!
by Fleur Zeldenrust Oct. 11, 2022

Oct. 11, 2022

Are you a leading researcher in the field of brain, cognition and behaviour with experience in managerial leadership? Do you have a clear vision on the future of cognitive neuroscience and are you able to translate this into a coherent business strategy for one of the leading neuroscience institutes in Europe? Then combine your scientific and leadership skills as the scientific director of the Donders Institute. In 2023, a new governance structure will be implemented at the Donders Institute. As part of this development, the Donders Institute has an opening for a scientific director who will spend 0.5 FTE as director of the institute and 0.5 FTE for research activities and teaching. As scientific director, you will be the head and chair of the Executive Board of the Donders Institute Network. The Scientific Director is ultimately responsible for the overarching research activities and research strategy and for managerial and financial aspects of the Donders Institute. The latter include among others various portfolio's, such as the Donders Graduate School's graduate programme, talent development, societal impact, external relations, public outreach, diversity and sustainable science. Since most researchers at the Donders Institute are based at partners of the Donders Institute (Faculty of Science, Faculty of Social Sciences, the Radboud university medical center, Donders Centre for Cognitive Neuroimaging, Max-Planck Institute for Psycholinguistics), you will consult with the deans/directors involved at the Supervisory and Strategy Boards' meetings to set out a long-term research strategy, financial commitment and investment programme. You will chair the Executive Board of the Donders Institute, the Research Platform with the leaders of the Institute's four research themes, and the Strategy Board, which includes the directors of the four Donders Centres and the Max Planck Institute for Psycholinguistics (MPI). The Research Platform and the Strategy Board operate as advisory bodies to the Executive Board for all strategic issues of the Donders Institute Network. As scientific director, you will be accountable to the Supervisory Board, which will respond to Radboud University's Executive Board. Interested? Combine your scientific and leadership skills as the scientific director of the Donders Institute and apply online before 7 November. More information about how to apply can be found here: https://www.ru.nl/en/working-at/job-opportunities/scientific-director-for-t… Fleur Zeldenrust -- Fleur Zeldenrust Assistant Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

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Neuroimaging Data Analyst Position at Stanford University
by Mai-Phuong K Bo Oct. 10, 2022

Oct. 10, 2022

Dear Colleagues, The Stanford Cognitive and Systems Neuroscience Laboratory in the Department of Psychiatry and Behavioral Sciences at Stanford University has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com<mailto:scsnl.stanford+quantitative@gmail.com> Thank you, Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:e70df0c1-2a80-4fb7-91a9-bf1692af5692]

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DeepMath Registration reminder
by Ahmed El Hady Oct. 7, 2022

Oct. 7, 2022

*Dear all,* * **Just reminding everyone that the**registration is still open for DeepMath 2022 : ** https://www.eventbrite.com/e/deepmath-2022-registration-393832562797 We**have an amazing line up of invited**speakers: * Francis Bach**(INRIA) * Anima Anandkumar (CalTech) * Sara Solla**(Northwestern) * Berk Ustun**(UCSD) * Yisong Yue**(Caltech) * Courtney**Paquette (McGill) * Daniel Soudry ( Technion ) In**addition, we have a poster session and ample**opportunities for researchers across disciplines to discuss state of the art**research on the theoretical understanding of deep neural networks. So save your**spot . == Location == DeepMath 2022 will be held in**San Diego, CA, USA.. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com/>) for more details on venue and hotels ** The**talks will be freely live-streamed over YouTube and subsequently posted on the**DeepMath YouTube**channel : https://www.youtube.com/channel/UCamugMiftSeZo4EjdtePPyw/playlists ** Please get in touch in case you have**any outstanding questions. All the best, Ahmed El Hady** ** On behalf of the DeepMath 2022**Organizational Committee ********** *

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Postdoctoral position in computational/theoretical neuroscience
by Maxim Bazhenov Oct. 7, 2022

Oct. 7, 2022

The Bazhenov Lab at the University of California, San Diego (https://www.bazhlab.ucsd.edu) is seeking to fill a postdoctoral position to study role of sleep in memory and learning. The ultimate goals of the work are to understand how sleep contributes to continual learning, generalization and transfer of knowledge and how sensory or electrical stimulation affect sleep dynamics and memory consolidation in human and animal brain (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019; doi.org/10.1523/JNEUROSCI.2044-21.2022 ). To address these questions, we develop and apply large-scale models of the brain dynamics in sleep and wakefulness, based on animal and human data, in close collaboration with experimental laboratories. Our lab other research directions include topics in neuroscience (olfaction, epilepsy, TBI) and neuroscience inspired artificial intelligence (lifelong learning, generalization, adversarial robustness); lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design and analysis of the anatomically realistic large-scale brain models based on experimental data. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Knowledge and experience in C/C++ and PYTHON are a big plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
by Jeffrey Krichmar Oct. 6, 2022

Oct. 6, 2022

Dear Colleagues, We are pleased to announce the release of CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. Abstract. The CARLsim SNN platform is one of the first Open Source simulation systems that utilized CUDA GPUs to address the tremendous parallel processing demands of natural brains. It has evolved over almost a decade in numerous scientific research projects requiring efficient biologically plausible modeling at scale. With its sixth major release, CARLsim 6 respects this legacy by supporting the latest versions of operating systems, development tool chains, multi-core computers, and of course GPUs. It runs on a range of platforms; from Notebooks up to the NVIDIA DGX-A100 supercomputer, and is used in biologically plausible simulations of the hippocampus and neocortex. The latest version has added flexibility for incorporating long-term and short-term synaptic plasticity. Neuromodulation is an important property of neurobiology that can lead to rapid few shot learning, network rewiring, and neural activity modulation. Because of this, CARLsim 6 now supports four multiple neuromodulators for simulating neural excitability and synaptic plasticity. Software: https://github.com/UCI-CARL/CARLsim6 A paper describing CARLsim 6 can be found here: https://ieeexplore.ieee.org/document/9892644 A video describing CARLsim 6 can be found here: https://www.youtube.com/watch?v=6d97ElAiKjc Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Gatsby Unit PhD Programme: Applications now open
by I-Chun Oct. 5, 2022

Oct. 5, 2022

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Call for Applications! Deadline: 13 November 2022 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)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 one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Functional Imaging; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this 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 Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL

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Accepting Applications for 2023 CCN Workshop on Calcium & Imaging Voltage Analysis
by Matthew Turner Oct. 4, 2022

Oct. 4, 2022

Dear Neuroscience Community Members, The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation is pleased to announce that we're accepting applications for our free 2023 CCN Workshop on Calcium & Imaging Voltage Analysis; please note that travel awards will also be made available for persons from populations underrepresented in the scientific workforce as defined by NIH <https://diversity.nih.gov/about-us/population-underrepresented>. For more information, please see below or visit the workshop website <https://indico.flatironinstitute.org/event/3293/>. 2023 CCN Workshop on Calcium & Imaging Voltage Analysis <https://indico.flatironinstitute.org/event/3293/> Workshop Description New imaging modalities - including endoscopic and multiphoton calcium imaging, and single and multiphoton voltage imaging, among others - have granted unprecedented access to the activity of large neuronal populations with high temporal resolution. As such, those methods have been instrumental in obtaining new neurobiological insights inaccessible to other recording modalities. However, the barrier to establishing reproducible and efficient computational pipelines for imaging datasets, along with the difficulty of integrating this technology into real-time experiments, have substantially slowed progress in neuroscience and represent a significant opportunity cost for many laboratories. CaImAn is an open-source software platform that provides optimized and scalable routines to process imaging data with the goal of extracting the activity of each neuron. CaImAn handles multiple imaging modalities (voltage, calcium, endoscopic, multiphoton, volumetric) and analysis settings (batch/offline vs online/real-time). Mesmerize is a new organizational and visualization framework that allows for efficient and streamlined analysis using CaImAn algorithms, and enables users with minimal programming experience to use CaImAn effectively. CaImAn is very popular among neuroscientists world-wide, but its widespread dissemination, the efficient use of its routines, and the opportunities provided by Mesmerize, require access to training opportunities. We will address this challenge by establishing a workshop at the Flatiron Institute, Simons Foundation. The free workshop will be of interest to imaging researchers at many levels of experience. It will provide a unique opportunity to directly learn from lead developers of both CaImAn and Mesmerize for analysis of calcium and voltage data. Attendees will receive: - Tutorials on cutting edge calcium and voltage imaging analysis tools. - Hands-on training with real data sets and practical code examples that they will be able to use with their own data. - Receive training on the new Mesmerize framework for batch analysis and data organization enabling streamlined use of CaImAn algorithms. - Training on the mesmerize-viz and fastplotlib libraries for very fast visualization or large-scale datasets in Jupyter notebooks. - More experienced users and developers will have the opportunity to participate in a hackathon, make contributions to the core packages, and become active contributors to these tools moving forward. - Training in DataJoint: data organization and infrastructure with the help of a database server. Application Deadlines Workshop attendance will be capped at 30 attendees. In the event that there are over 30 applications, participation will be restricted to one applicant per lab. Applications to attend the workshop will be accepted through midnight on Sunday, November 6, and admitted attendees will be notified by Friday, November 18; persons who applied for travel grants will also be notified by November 18. If your application is accepted, you will be required to submit your intent to attend by Tuesday, November 22 to help ensure full attendance and to allow time for travel arrangements. The event will also be recorded as a reference for attendees, and for those who are unable to attend. For more information, please visit the conference registration page <https://indico.flatironinstitute.org/event/3293/>, or be in touch with Noah Dlugacz, administrative coordinator, CCN, at ndlugacz(a)flatironinstitute.org. Thanks for your time. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

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