July 2020 - Comp-neuro - lists.cnsorg.org

Up to 6 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy, to start Oct, 2020
by Alessandro Treves 12 Oct '22

12 Oct '22

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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Postdoc in neural data analysis
by Mark Humphries 26 Jun '22

26 Jun '22

A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question using newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries(a)nottingham.ac.uk Deadline: 5th September Full details, and to apply: https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2 [http://jobs.nottingham.ac.uk/org/images/socialmedia.png]<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Job Vacancy at the University of Nottingham: Research Associate/Fellow (Fixed term)<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Applications are invited for a postdoctoral research fellow to join the Humphries’ group on the MRC-funded project “Uncovering the neural basis of movement transitions”. The Humphries’ group researches fundamental... jobs.nottingham.ac.uk Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Explainable AI: Overcoming problems of Deep Learning problems with Adaptive Resonance
by Grossberg, Stephen 09 Apr '22

09 Apr '22

Dear Colleagues, There's currently a lot of interest in AI, notably Deep Learning, and in achieving autonomous adaptive intelligence. The following new article summarizes foundational problems of reliability and trustworthiness of Deep Learning, explains how Adaptive Resonance overcomes them, and outlines a blueprint for achieving autonomous adaptive intelligence: Grossberg, S. (2020). A path towards Explainable AI and autonomous adaptive intelligence: Deep Learning, Adaptive Resonance, and models of perception, emotion, and action. Frontiers in Neurobotics, June 25, 2020. https://doi.org/10.3389/fnbot.2020.00036 Best, Steve Grossberg

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Postdoc at the University of Leicester to work on human single cell recordings
by Quian Quiroga, Rodrigo (Prof.) 23 Nov '21

23 Nov '21

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Postdoc (3 yrs) in dynamical reconfigurations of neural populations during movement
by Mark Humphries 09 Mar '21

09 Mar '21

A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question by developing new computational algorithms for dynamic systems, and applying them to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries(a)nottingham.ac.uk Deadline: 10th January 2020 Full details, and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI182819X1 Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Announcing the 1st Brain-Computer Interface Un-Conference (BCI-UC)
by Moritz Grosse-Wentrup 05 Feb '21

05 Feb '21

Dear Colleagues: We cordially invite you to the 1st Brain-Computer Interface Un-Conference (BCI-UC)! https://bciunconference.univie.ac.at/ The 1st BCI-UC is an entirely virtual event that takes place on July 23rd 2020 from 3 pm to 9:30 pm (CEST). It differs in various ways from traditional conferences in our field: * All presentations are publicly streamed via Crowdcast. * Anybody can apply for a presentation slot by submitting an abstract. All registered attendees can up-vote their favorite abstracts. In this way, the whole community decides which presentations they would like to see presented at the conference. * Voting commences on Monday, June 29th at 8 am (CEST) and ends on Thursday, July 16th at 12 midnight (CEST). The authors of the top-rated abstracts are invited to present their work at the conference. * Registration (free of charge) is required for submitting an abstract and to up-vote submissions. In addition to the contributed talks, the 1st BCI Un-Conference features two keynotes presentations: 1. Mariska J Vansteensel (UMC Utrecht Brain Center): Towards the Daily Life Implementation of ECoG-BCIs 2. Christian Herff (Maastricht University): Decoding Speech from Invasive EEG Please join us in exploring this new way of disseminating research in our community! The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Funded PhD and Data scientist positions
by Abhishek Banerjee 14 Jan '21

14 Jan '21

Dear colleagues, Two funded *Ph.D. positions* are available in the newly established Adaptive Decision-making lab as a part of Neuroscience, Neurodisability and Neurological Disorders research theme, Biosciences Institute, Newcastle University, UK. The research carried out as part of th Ph.D fellowship will investigate the role of behaviourally relevant neural circuits in decision-making and its dysfunctions in neurological disorders using experimental and theoretical approaches (PNAS 2016; BRAIN 2019; bioRxiv 2020). Exciting local and international collaborations will ensure a high standard of training and mentorship. The position is funded (UK/EU rate) for up to 3.5 years and the application deadline is *6th January 2020*. Application details can be found here or by email provided below: https://www.findaphd.com/phds/project/mrc-dimen-doctoral-training-partnersh… . Additionally, the Banerjee Lab is also hiring a *Data Scientist* to be involved in projects that focus on understanding cortical computation during behaviour by combining large-scale recordings and imaging of neuronal populations. This person will be involved in analysing experimental data, developing software tools, and helping with data infrastructure. The application deadline is *31st January 2020*. Qualifications for the Data scientist position: - M.Sc. degree (or exceptional B.Sc.) in Physics, Computer Science, Mathematics, Engineering, or related technical field. - Programming experience in MATLAB is required, and additional experience in Python and LABView is preferred. - Background in computational neuroscience, image analysis, or machine learning is a plus. For informal inquiry, or if interested in applying for the Data scientist position, please submit a CV along with names of 3 referees to: Dr. Abhi Banerjee <abhi.banerjee(a)newcastle.ac.uk>. More details here: https://loop.frontiersin.org/people/11499/overview and http://neuronic.mit.edu/ Best wishes, Abhi -- Abhishek Banerjee Senior Lecturer Head, Adaptive Decision-making Lab Biosciences Institute Newcastle University United Kingdom I neuronic.mit.edu Skype: amiappu I @abhii_mit

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Creating a list of important computational predictions
by Yiota Poirazi 04 Jan '21

04 Jan '21

Dear all, I believe you would agree that, the greatest recognition of our computational work comes with the experimental verification of our computational predictions. To highlight the most important outcomes of our theoretical work and facilitate a closer interaction with experimental labs so as to increase the chances of our predictions being experimentally tested, I would like to encourage you to nominate your favorite prediction at the following google form: https://docs.google.com/forms/d/e/1FAIpQLSeJZ2RrXJ0nZonIuyNzN0Cl gXDKDb7xTzoJOiqZTGxm9Kh7ow/viewform?c=0&w=1&usp=mail_form_link This effort started during the CNS 2017 meeting in Antwerp with the support of the OCNS Board. The resulting list will be posted on the CNS 2017 web site and disseminated in social media, as a reference for experimentalists. Thank you very much for supporting this important effort! Best wishes, Yiota Poirazi -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory 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 FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> -- This message has been scanned for viruses and dangerous content by *E.F.A. Project* <http://www.efa-project.org>, and is believed to be clean. Click here to report this message as spam. <http://mailgate1.imbb.forth.gr/cgi-bin/learn-msg.cgi?id=4BCD7A00A1.A57D7&to…> -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory 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 FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/>

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ANDA 2020 - G-Node Advanced Neural Data Analysis Course, April 14-30, 2020, Jülich, Germany
by Thomas Wachtler 23 Dec '20

23 Dec '20

ANDA 2020 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 14 - 30, 2020 Haus Overbach, Jülich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY · Moshe Abeles, Hebrew Univ. Jerusalem, Israel · Michael Denker, Jülich Research Center, Germany · Udo Ernst, Univ. Bremen, Germany · Sonja Grün, Jülich Research Center, Germany · Adam Kohn, Albert Einstein College of Medicine, New York, USA · Jakob Macke, TU Munich, Germany · Luca Mazzucato, Univ. of Oregon, Eugene, USA · Martin Nawrot, Univ. of Cologne, Germany · Yifat Prut, Hebrew Univ. Jerusalem, Israel · Hansjörg Scherberger, German Primate Center, Göttingen, Germany · Thomas Wachtler, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Elephant toolbox · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Research data management and reproducibility REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org>. APPLICATION DEADLINE Applications must be received by NOVEMBER 15, 2019. Early application is encouraged. For further information see http://www.g-node.org/anda

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Lecture video about brain mechanisms that cause mental disorders
by Grossberg, Stephen 17 Oct '20

17 Oct '20

Dear Colleagues, I gave a pre-recorded keynote lecture on Zoom to the World Congress on Computational Intelligence on July 22 about how particular brain dysfunctions can cause symptoms of mental disorders like Alzheimer's disease, autism, amnesia, and neglect: http://sites.bu.edu/steveg/files/2020/07/Grossberg-WCCI-keynote-Glasgow-vid… The lecture can also be found on my web page sites.bu.edu/steveg along with a pdf of its powerpoint slides. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu

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NEURAL COMPUTATION - February 1, 2020
by Terry Sejnowski 02 Oct '20

02 Oct '20

Neural Computation - Volume 32, Number 2 - February 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/2 http://cognet.mit.edu/content/neural-computation ----- Article Face Representations via Tensorfaces of Various Complexities Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka Letters Transition Scale-spaces: A Computational Theory for the Discretized Entorhinal Cortex Nicolai Waniek From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and Wojciech Mateusz Tarnowskic Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity Jure Demsar, Rob Forsyth Scaled Coupled Norms and Coupled Higher Order Tensor Completion Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka Improving Generalization via Attribute Selection on Out-of-the-box Data Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

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postdocs with Peter Dayan in Tübingen
by Peter Dayan 28 Sep '20

28 Sep '20

Postdoc(s) in Neural Reinforcement Learning / Computational Psychiatry (m/f/d) 100% Peter Dayan is looking to hire one or more postdocs (100%) to work in the areas of neural reinforcement learning, computational neuromodulation, and computational psychiatry. These positions will start in the Faculty of Science, Department of Computer Science, University of Tübingen, as part of an Alexander-von-Humboldt Professorship award. There are also targeted positions on the computational anatomy of cortico-striatal connections (funded by a collaborative NIH grant with Professor Suzanne Haber) and with the International Brain Lab (a large collaboration with 20 other investigators, funded by the Simons Foundation). Peter Dayan has an affiliation with the University of Tübingen and the Max Planck Institute for Biological Cybernetics and collaboration is expected. The salary will be paid in accordance with the collective agreement for the public sector (salary at E13 TV-L, commensurate to experience and qualifications). The positions are available immediately, and are initially limited to two years (with the possibility of extension). Please direct scientific inquiries to dayan(a)tue.mpg.de and administrative inquiries to susan.fischer(a)tue.mpg.de. Responsibilities include: • Planning and carrying out research projects, for instance building theories and computational models of data from human and animal experiments, conducting experiments, analysing behavioural and neural data, writing and editing scientific papers/reports. • Helping to mentor and supervise student projects. • Participating in scientific conferences. • Helping to organize and conduct collaborations in Tübingen as well as nationally and internationally • Helping with building and running an effective academic lab environment at the intersection between the Max Planck Institute for Biological Cybernetics and the science and medical faculties at the University of Tübingen. The successful candidate(s) should have a PhD in computational neuroscience or related fields. Proficiency in a high level mathematical or statistically-oriented programming language such as python, R, Julia or matlab, and intimate familiarity with advanced data analysis are essential. The candidate(s) should be able to work independently and troubleshoot and should show good capacity and value for teamwork and communication skills. The University of Tübingen is one of the Excellence Universities in Germany. It is home to a vibrant research community, with very strong research activity in Neuroscience and Clinical Psychology / Psychiatry as well as Artificial Intelligence and Machine Learning. We offer an open research culture, where original thinking and academic merit are encouraged and nurtured, and encourage applications from all nationalities, backgrounds, and genders. The University of Tübingen is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, the position for which the application is intended, and the names and contact details of three referees. Applications should be sent in a single PDF to: susan.fischer(a)tue.mpg.de Applications arriving before June 30th 2020 will receive full consideration.

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PhD position: Machine learning to record and enhance sleep and lucid dreaming
by Martin Dresler 03 Sep '20

03 Sep '20

Hi, Arenar B.V. and the Donders Institute offer a joint PhD position combining data science/AI and wearable EEG technology with sleep/dream research. In this project, the wearable sleep EEG headband iBand+ will be further developed and applied in several experimental studies. First, we will develop automatic sleep stage detection algorithms using machine learning strategies. We will then implement closed-loop acoustic stimulation procedures to enhance sleep slow oscillations to improve deep sleep. We will further develop combined acoustic and visual stimulation procedures which will allow to enhance self-awareness during sleep (i.e. lucid dreaming) and subsequent mood in the morning. The validity and efficacy of these procedures will be tested experimentally in large longitudinal studies in naturalistic home-based settings. The successful candidate will be centrally involved in the development, will lead different research projects within this general framework; will be closely involved in daily supervision of MSc students assisting the project; and will participate in the vibrant Donders Graduate School. Job details • 4 years at Donders, extension to permanent position at Arenar possible • Deadline: 31 August 2019 • Starting date: October/November, but somewhat flexible • Salary: starting with € 40000 gross per year Candidate profile • MSc-level background in Data Science, ML, AI, computer sciences, or adjacent field; • Proficiency in Python, C, C++, statistics • Interest in sleep, lucid dreaming, meditation • The capacity to participate in a collaborative, interdisciplinary, international research environment; • Fluency in written and spoken English. Candidates who only partially meet this profile are nonetheless strongly encouraged to apply! Organization The PhD project is a collaboration between Arenar B.V. and the Donders Institute. Arenar B.V. is a Dutch technology start-up based in Nijmegen, founded in 2016 by a team of engineers/developers with a combined technical industry experience exceeding 40 years working at leading technology companies such as NXP, Philips, Texas Instruments. Work in Arenar’s small enthusiastic team offers plenty of flexibility, responsibility and lots of influence on the product development. In particular, Arenar develops the iBand+ ( http://www.ibandplus.com) and many more upcoming innovative products. The project is embedded in the infrastructure of the Donders Centre for Cognitive Neuroimaging, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. Sleep research is a vibrant and rapidly growing field at the Donders Institute, with several new research groups in human and animal sleep research. The project is further embedded in the Radboud University Medical Center. Radboud UMC strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. Application Please apply with a brief motivation letter explaining your interest and qualifications regarding the position, your prior research/work experience, a CV, and contact information of two professional references: https://www.radboudumc.nl/en/vacancies/70061-phd-candidate-machine-learning… For specific questions about this position, please contact martin.dresler(a)donders.ru.nl Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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DeepMath 2020: call for abstracts
by Kamesh Krishnamurthy 30 Jul '20

30 Jul '20

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 30 Jul '20

30 Jul '20

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 30 Jul '20

30 Jul '20

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 29 Jul '20

29 Jul '20

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 29 Jul '20

29 Jul '20

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 29 Jul '20

29 Jul '20

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] 28 Jul '20

28 Jul '20

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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Postdoctoral researcher - Sleep expert for neurotechnology research project at Bitbrain (Zaragoza, Spain)
by Eduardo López-Larraz 28 Jul '20

28 Jul '20

We are looking for a postdoctoral sleep researcher to join Bitbrain <https://www.bitbrain.com/> and work on an EU-funded neurotechnology research project. The main objective will be to exploit some of the most recent advances in sleep research to develop interventions based on cutting-edge wearable neurotechnology for sleep (and sleep-mediated cognitive processes) improvement. The candidate will join Bitbrain <https://www.bitbrain.com/>’s interdisciplinary R&D department of applied neuroscience and neurotechnology and will lead all the R&D activities related to sleep. The candidate will have to: 1) design the R&D strategy of this new area in the company, which will require attending and participating in international events and networks, and 2) design and carry out a feasibility study in sleep improvement using innovative and practical technologies that can be used outside the lab. The position is initially offered for 12 months and includes a relocation and training package. *Requirements*: Sleep expert with a PhD degree in Neuroscience, Psychology, Biomedical Engineering or similar. Strong background in sleep research, understanding of EEG (required) and brain stimulation (desirable). Project management skills. Problem solving and potential of growth. English is required, Spanish is a plus. *Application Deadline*: 01.11.2020 More information and application procedure: https://euraxess.ec.europa.eu/jobs/545040

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Register now for Allen Institute Modeling Workshop - August 12-14
by Anton Arkhipov 27 Jul '20

27 Jul '20

TOWARDS MULTIPURPOSE MODELS OF CORTICAL CIRCUITS - JOIN US VIRTUALLY AUGUST 12-14 Join us for a virtual workshop, August 12-14, 2020, to learn and discuss how we can move towards "multipurpose models" that incorporate the true biological complexity of cortical circuits and faithfully reproduce multiple observables in many different situations. Hear from nearly twenty speakers as they emphasize open and publicly accessible models and associated tools to explore models from the conceptual to the biologically detailed. Dissemination, reproducibility, and free sharing of models and modeling software will be discussed. https://alleninstitute.org/what-we-do/brain-science/events-training/allen-i… Confirmed Speakers: Gaute Einevoll, University of Oslo & NMBU (Workshop Co-Chair) Anton Arkhipov, Allen Institute, MindScope Program (Workshop Co-Chair) Shawn Olsen, Allen Institute, MindScope Program Anna Devor, Boston University Keith Hengen, Washington University in St. Louis Terry Sejnowski, Salk Institute for Biological Studies Andreas Tolias, Baylor College of Medicine Clay Reid, M.D., Allen Institute for Brain Science Nuno da Costa, Allen Institute for Brain Science Stephanie Jones, Brown University Michael Reimann, EPFL Li-Huei Tsai, MIT David McCormick, University of Oregon Sacha van Albada, Research Centre Jülich Stefan Mihalas, Allen Institute, MindScope Program Greg Handy, University of Pittsburgh Luke Campagnola, Allen Institute for Brain Science Chris Harvey, Harvard Medical School Christof Koch, Allen Institute, MindScope Program EVENT DETAILS This three-day workshop will be hosted virtually and will feature a mix of presentations from leaders in the field, and discussion sessions for all participants. Wednesday, August 12 - Friday, August 14 ~8:00 am - 12:00 pm Pacific Time, daily Please register at the link above. The virtual conference login information will be sent to all registrants in advance of the event. Please contact events(a)alleninstitute.org<mailto:events@alleninstitute.org> with any questions. Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png(a)01D5F0E2.E3F24C00] www.alleninstitute.org<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.alleni…>

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Applications for prestigious La Caixa Junior Leader Fellowships
by Serafim Rodrigues 27 Jul '20

27 Jul '20

To experienced postdocs, We are looking for candidates who have an interest in being hosted within our research group Mathematical, Computational and Experimental Neuroscience (MCEN) at BCAM (Basque Centre for Applied Mathematics): http://www.bcamath.org/en/ The La Caixa Foundation has announced 45 very competitive Junior Leader Fellowships.The Postdoctoral Junior Leader fellowships programme is aimed at hiring excellent researchers, of any nationality, who wish to continue their research career in Spain or Portugal in the STEM area (Science, Technology, Engineering and Mathematics). The objectives of this programme are to foster high-quality, innovative research in Spain and Portugal and to support the best scientific talent by providing them with an attractive, competitive environment in which to conduct excellent research. The fellows can carry their research at any university or research centre in Spain or Portugal. For details please refer to the links below: https://fundacionlacaixa.org/en/investigacion-y-becas/becas-de-la-caixa/pos… Programme Rules: https://fundacionlacaixa.org/documents/10280/675659/programme-rules-junior-… If you are interested, please contact: srodrigues(a)bcamath.org regards Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)*

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2 postoc positions
by German Sumbre 27 Jul '20

27 Jul '20

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Open Position Computational Neuroscientist / Algorithm Engineer (100%) at MaxWell Biosystems
by david.jaeckel＠mxwbio.com 27 Jul '20

27 Jul '20

Dear all I would like to announce the following open position at MaxWell Biosystems AG in Zürich, Switzerland: Computational Neuroscientist / Algorithm Engineer (100%) Our technology, which consists of a custom designed integrated circuit, an FPGA-based data acquisition platform and our software suite MaxLab Live, generates vast amounts of data while electrically imaging neuronal tissue. Such data needs to be processed, analyzed and visualized online during operation. At the same time, our customers in drug discovery and neuroscience want to focus on their pharmaceutical and scientific questions, which requires to abstract and hide most of the technical complexity, while still providing sufficient flexibility to adapt the application to specific needs. We are constantly innovating and improving algorithms to extract novel and more accurate multiparametric electrophysiology metrics, which enable faster and more reliable drug discovery. To strengthen our R&D team and to drive and implement this challenging task, we are now seeking for a highly motivated computational neuroscientist. Your Responsibilities * Develop and support our performance critical data acquisition and analysis software platform * Contribute to our Python toolboxes for data analysis and visualization * Develop and validate analysis methods to extract multiparametric electrophysiology metrics * Understand customer needs and continuously improve user experience Your Profile * PhD in computational neuroscience or related (awarded after December 31st, 2016) * Proven strong scientific achievements in the form of first-author peer-reviewed publications in computational neuroscience or related * Strong experience in Python and competency working in a Linux/Unix environment * Proficiency in other languages, e.g., R, MATLAB, C++ is a plus * Knowledge of neuron physiology and electrophysiology * Proficiency in multiparametric pharmacological assays is a plus * Experience in microelectrode array (MEA) technology data analysis is a plus * Skilled in analysis of large-scale dataset * Enjoy solving complex problems and working in a team * Excellent English language skills * The applicant must not have resided or carried out his/her main activity for more than a total of 12 months over the last three years in Switzerland Are you motivated, innovative and committed to delivering first-rate performance? Have you ever wanted to work with cutting-edge technology involving both engineering and biology? Do you enjoy working in an international, multidisciplinary, and interactive team? Then we might have a position for you. Join MaxWell Biosystems in innovating the future of electrophysiology for drug discovery and basic research. Michele Fiscella looks forward to receiving your application documents (cover letter, resume, letter of recommendation and degrees including transcripts) by email at <mailto:hr@mxwbio.com> hr(a)mxwbio.com. - Best Regards, David -- David Jäckel Ph.D. | Senior Product Manager MaxWell Biosystems AG | Albisriederstrasse 253 | CH-8047 Zurich | Switzerland main: +41 44 244 24 24 | direct: +41 44 244 24 16 | <https://mxwbio-ch.3cx.net/join/davidjaeckel> click2meet e: <mailto:%20david.jaeckel@mxwbio.com> david.jaeckel(a)mxwbio.com | w: <http://www.mxwbio.com/> www.mxwbio.com Meet us | at <https://www.isscr.org/meetings-events/annual-meetings/isscr-annual-meeting-…> ISSCR, Boston, USA, Jun 24 – 27 | at <http://www.isscr.org/meetings-events/international-symposia/shanghai-2020-s…> ISSCR Symp., Shanghai, China, Sep 11 – 13 | at <https://www.safetypharmacology.org/AM2020/index.asp> SPS 2020, Montreal, Canada, Sep 14 – 16 Follow us on <https://twitter.com/mxwbio> Twitter and <https://www.linkedin.com/company/maxwell-biosystems> LinkedIn The information contained in this email and any attached files is legally privileged and confidential intended only for the use of the addressee. If you have received this email in error, please notify the sender and promptly delete this email and any attachments. Thank you.

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PhD position in theoretical and experimental neuroscience
by Nicolas P. Rougier 24 Jul '20

24 Jul '20

PhD position in theoretical and experimental neuroscience Application deadline: 15/08/2020 What: PhD position in theoretical and experimental neuroscience Where: Bordeaux, France When: October 2020 (3 years duration) Who: Nicolas Rougier (Inria) & Arthur Leblois (CNRS) A PhD position is available at Inria Bordeaux Sud-Ouest center and the Institute of Neurodegenerative Disease in Bordeaux, France. Candidate profile ================= The future PhD candidate must have a strong experience at both the theoretical and experimental level. In particular, the following qualities and skills will be highly valued, if not required: * Solid bases in maths and/or physics; * Previous experience in experimental neuroscience; * Programming experience (Python or similar coding language); * Experience in machine learning or data mining is a plus; * Good English reading/speaking skills. How to apply ============ Please send your application (CV, letter of motivation, and the names and email addresses of one or two persons who can provide recommendation letters) to Dr. Nicolas Rougier (nicolas.rougier(a)inria.fr) and Arthur Leblois (arthur.leblois(a)u-bordeaux.fr) before the 15/08/2020. Proposed research ================= Temporally precise movement patterns underlie many motor skills and innate actions, yet the origin of temporal control in motor behaviors remains unclear. While cortical motor regions traditionally have been viewed as encoding features of motor gestures, these models do not address how sequences of motor gestures are produced or appropriately timed. Recently, a number of studies have suggested that, beyond just representing features of motor output, motor regions may have intrinsic oscillatory dynamics or sequential dynamics to act as their own pattern generators. However, in the order of milliseconds, the neural and anatomical correlates of time processing are still largely unknown because the dominant model, which is based on internal clock fails at giving account on experimental data. Understanding the neural dynamics underlying the acquisition and performance of complex sensorimotor tasks has been hindered by the complexity of the underlying brain networks in common animal models used in neuroscience (e.g. rodents or primates). In particular, the complex interactions between cortical areas (primary and secondary motor cortex in rodents, motor, premotor and supplementary motor areas in primates) related to many different sensorimotor associations and motor skills is daunting. Conversely, in birds, the sensorimotor skill of song production and its learning has a dedicated set of interconnected brain nuclei known as the “song system”, making them an outstanding model to study the neural mechanisms of vocal learning and more generally, of sensorimotor learning. Songbirds indeed rely on learned vocalizations to communicate during courtship or aggressive behaviours. Just as speech learning in humans, vocal learning in young birds requires the coordination of vocal muscles to reproduce previously experienced adult vocalizations. Song learning is also limited to a critical period during development and heavily relies on auditory feedback. The proposed research lies at the interface of neurophysiology, cognitive science, applied mathematics, and theoretical physics. The concepts and methods that will be used will draw on single neuron physiology, electrophysiological studies in behaving animals, statistical mechanics, dynamical system theory, and stochastic differential equations. To this end, we will combine a theoretical approach (development of a mathematical model of the timing system) and an experimental one (chronic neural recording in awake birds, behavioural manipulations). Therefore, a collaboration with a team of physiologists at the Institute of Neurodegenerative Diseases, and in particular with Arthur Leblois who has a long-established expertise in the neural mechanisms underlying vocal learning in songbirds. The model will be designed under the supervision of Nicolas Rougier who has extensive experience in computational modelling. Predictions of the model will then be tested experimentally by measuring neuronal activity in the brain areas controlling song timing in songbirds under the supervision of Arthur Leblois. Chronic electrophysiological recordings in singing birds are routinely performed in the lab of Arthur Leblois, and will be implemented in a protocol allowing the induction of plasticity in the duration of song syllables in young adult birds over short periods of time.

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PhD position: stimulation of the visual cortex
by Pieter Roelfsema 22 Jul '20

22 Jul '20

The Vision & cognition group (Roelfsema lab) at the Netherlands Institute for Neuroscience has an exciting opportunity for a PhD student position to investigate circuit mechanisms of brain stimulation and its perception Project description Circuit mechanisms of brain stimulation and its perception The rapidly emerging field of neurotechnology is bringing a surge of new technological possibilities for transferring information to the brain for patients with neurological disabilities. To successfully apply these technological advances to clinical applications, a deep understanding of stimulation-based information transfer and its processing at the level of neurons and neuronal circuits is essential. In this project, we will combine novel intracortical neural interfaces devices with electrical microstimulation, optical stimulation, 2-photon calcium imaging, electrophysiology, and behavior to investigate this in the mouse visual cortex. Ultimately, we aim to develop next-generation intracortical stimulation strategies for high-fidelity information transfer into the visual cortex for a visual prosthesis. We expect from you: You are a highly motivated, self-driven candidate. You have an MSc degree (or equivalent) in neuroscience or a related discipline; or an MSc degree in a quantitative discipline (e.g. physics/biophysics, mathematics, engineering) with strong interest and experience in neuroscience. A high level of written and spoken English and good programming skills are essential. An ideal candidate would additionally possess practical experience in collecting and analyzing neurophysiological data from awake, behaving animals. You should expect from us: • Mentoring, supervision and training • Access to state-of-the art infrastructure • A stimulating international research environment Environment The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute, in the international and progressive city of Amsterdam. It provides a critical mass of scientists (spanning more than 27 nationalities) and neuroscience facilities, in a highly interactive, dynamic, multi-cultural environment, with English as the working language. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 4 years in total for a PhD student. The first appointment is for one year with the option for an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full-time monthly salary for a PhD student is € 2.395,- in the 1st year to € 3.061,- in the 4th year before taxes. In addition, an 8% holiday allowance and an 8.3% year-end bonus are provided. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and assistance in finding an accommodation. Starting date The position is available from September 2020, but the starting date can be later. To apply Please send your application to s.wolff(a)nin.knaw.nl including: 1. A Curriculum Vitae 2. An application letter 3. Two reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position in the autumn of 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Any acquisition further to this advertisement will not be appreciated.

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Virtual Telluride Neuromorphic Engineering Workshop (July 27-31 2020)
by Emre Neftci 22 Jul '20

22 Jul '20

We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET). The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11. More up-to-date information on the list of speakers and the challenges can be found at the 2020 Neuromorphic Workshop website (https://sites.google.com/view/telluride2020/home) The workshop is free to attend and is open to everyone upon registration. Please pass this announcement to other interested parties. Regards, The Telluride Neuromorphic Cognition Engineering 2020 Organizing Committee -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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[BCI-UC] Final program online
by Moritz Grosse-Wentrup 21 Jul '20

21 Jul '20

Dear colleagues: The final program of the 1st BCI Un-Conference is now online: https://bciunconference.univie.ac.at/program/ In addition to the keynotes by Mariska J Vansteensel and Christian Herff, the BCI-UC features nine contributed talks. These talks were selected from 31 submissions by 190 registered participants casting a total of 427 votes. All lectures will be streamed free of charge via Crowdcast this Thursday, July 23rd, from 3 pm to 9:15 pm (CEST) under the following URL: https://www.crowdcast.io/e/1st-brain-computer-interface-unconference/ If you would like to receive future updates about the BCI-UC series, please sign up to the mailing list: https://lists.univie.ac.at/mailman/listinfo/bciuc You are very welcome to also use this mailing list for any announcements that are of interest to the BCI community at large. Best regards, The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Post-doc position: Visual control
by Fajen, Brett 21 Jul '20

21 Jul '20

Please post the job ad below on the computational neuroscience email list. POSTDOCTORAL RESEARCH ASSOCIATE VISUAL CONTROL IN HUMANS AND AERIAL ROBOTS Cognitive Science Department Rensselaer Polytechnic Institute A post-doctoral position is available in the Perception and Action (PandA) Lab at Rensselaer Polytechnic Institute to study optic flow-based control. The aims of the project are to develop computational and mathematical models of visual perception and control in humans and adapt these models for use on board small aerial robots. The successful candidate will be expected to conduct experiments, develop models, and present research at conferences and in journal articles. This is a one-year position with an anticipated start date in September 2020. The position could be extended beyond one year depending on performance and availability of funding. The PI’s lab is situated within the Cognitive Science Department at Rensselaer Polytechnic Institute in Troy, NY. Minimum qualifications Candidates for the position must have a Ph.D. in Computer Science, Cognitive Science, Neuroscience, Psychology, or a related field. All degree requirements must be completed by the time the appointment starts. In addition, candidates should have research experience in vision science, a strong quantitative background, and good programming skills. Experience with virtual reality, motion capture, and/or eye tracking is also desirable, although not required. Application information Please contact Brett Fajen at fajenb[at]rpi.edu for information about the application process or with any questions about the position. We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer.

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Postdoc position at International Research Center for Neurointelligence (IRCN), the University of Tokyo
by Yukie Nagai 21 Jul '20

21 Jul '20

Dear colleagues, Nagai, Yazaki and Tsuji labs at the International Research Center for Neurointelligence (IRCN), the University of Tokyo are seeking a postdoctoral candidate for the transdisciplinary project “The Development of Social Intelligence”. The goal of this project is to identify the neuronal and biological basis of social effects on learning. The successful candidate will be involved in developing experiments in songbirds and human infants in interaction with robots, including the recording and analysis of behavioral, auditory, and physiological measures. The candidate will primarily be supervised by Dr. Nagai, and co-supervised by Dr. Yazaki and Dr. Tsuji. https://ircn.jp/en/careers/20200720-socialintelligence If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. --------------------------------------------------------------------------------- 1. Job title Project Researcher (Postdoctoral Fellow) 2. Starting Date Negotiable 3. Term The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract can be extended for up to 3 years. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN *This can be changed due to work circumstances. 5. Qualifications (Required) - Ph.D. or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computer science, cognitive science, neuroscience, and/or psychology will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp with a subject "Application for Project Researcher in Social Intelligence”. - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview. --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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International Brain Laboratory postdoc position at UCLA
by Hannah M Bayer 20 Jul '20

20 Jul '20

The Churchland lab at UCLA has an opening for a postdoctoral fellow in neuroscience who will be part of the International Brain Laboratory (IBL). The IBL (https://www.internationalbrainlab.com/) is a large-scale international collaboration in brain research, which combines the efforts of approximately 50 scientists in 22 laboratories toward understanding the brain-wide basis of a complex behavior. Now in its third year, the IBL has already achieved standardization and replication of the mouse behavioral paradigm across labs and the effort to map the entire mouse brain at single neuron resolution is now underway. Postdocs in the IBL contribute to collecting datasets and building collaborative infrastructure in addition to developing and leading their own personal projects, which are accelerated and enhanced by taking advantage of the IBL experimental and computational tools and by mentoring from the other members of the collaboration. It is expected therefore that IBL postdocs will publish multiple impactful first-author papers in addition to being part of consortium-wide papers. For more information about the advantages of postdoctoral research at IBL, see www.internationalbrainlab.com/postdocs/. The ideal candidate for this position has experience in rodent physiology experiments and in data analysis (ideally using Python). They will have a record of rigorous and creative scientific work, and are excited about the possibility of joining a large, innovative collaboration at the forefront of modern neuroscience. The International Brain Laboratory is committed to opposing all forms of discrimination, raising awareness and tackling the causes and consequences of discrimination. We pledge to provide a learning and working environment in which the rights and dignity of all members are respected and which is free from discrimination, prejudice, intimidation and all forms of harassment including bullying; to making a diverse mix of talented people feel valued, motivated and enabled to do their best work; and to creating a safe, welcoming working environment accessible to all. We encourage individuals who will contribute to achieving these aims to apply. Please send CV and cover letter to Anne.Churchland(a)internationalbrainlab.org

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The Annual BiasWatchNeuro Award for Equity and Inclusivity
by Bias WatchNeuro 20 Jul '20

20 Jul '20

We wanted to let you know of this new award, for a department/institute/program that is making special (and effective) efforts to ensure inclusivity and equity for trainees from minoritized and historically marginalized group. We hope you will circulate the below call for nomination among trainees in your department. Letters of nomination are due by end of August, for a September award date (in time for graduate recruiting season). Even if your department does not win this year, letters of nomination for the winning departments will be made public, so other departments can learn and copy their best practices. We are looking forward to a day where all neuroscientists feel welcome and supported in any university. The call for nominations is below, and also at https://biaswatchneuro.com/bwn-award/. > Call for nominations The Annual BiasWatchNeuro Award for Equity and Inclusivity > > Diverse voices and ideas deserve to be heard equitably in science. Since > 2015, BiasWatchNeuro has worked to increase the representation of women in > neuroscience and related fields, emphasizing in particular the > representation of women as invited speakers at conferences. However, women > are not the only group that is confronted with implicit biases and systemic > obstacles in science. Minoritized groups are severely underrepresented at > every level of the academic career path — from undergraduate education to > faculty. Attempts to diversify departments have increased, but the reality > is that many universities and institutions still embody and perpetuate both > the historical influence of being established by men of privilege, and the > persisting effects of systemic racism in our society. Even as more diverse > student bodies are recruited, the culture in many departments and > institutions is not welcoming to and supportive of those that belong to > minoritized groups. Intersectionality adds another layer of disadvantage, > with minoritized women being especially underrepresented and unsupported. > > It is time to change this reality and build a new one, in our departments > and institutions. Black scientists matter. Latinx scientists matter. > LGBTQAI+ scientists matter. First generation scientists matter. Low income > scientists matter. Intersectionality matters. > > BiasWatchNeuro is excited to announce a new Annual Award for Equity and > Inclusivity, awarded to a neuroscience or neuroscience-related department, > institute or program that demonstrates the exceptional creation of a > culture where individuals underrepresented and/or marginalized in STEM feel > integral to the community and thrive. > > We recognize that no department/institute/program is perfect. However, > some are doing much better than others, and should be recognized for this. > Nomination letters for winners and runner ups will be made public (without > the list of signatories, which will remain confidential), to showcase > successful methods for creating an inclusive and equitable culture, and to > provide prospective trainees at all levels with information that can inform > their decisions of where to apply to. We hope that this will help us all > improve our practices and move toward a day in which all neuroscientists > feel seen, respected, and supported. > > Nominations for the 2020 award will be accepted through *August 31, 2020*. Awards > will be announced in September. > > Letter of nomination signed by one or more trainees (current and/or > alumni; including post-bacc/RAs; faculty cannot nominate their current > program) should be sent to biaswatchneuro(a)gmail.com. Letters should > describe in detail specific actions and elements that promote inclusivity > and equity, and their impact on underrepresented/marginalized groups. More > than one letter and/or letters with multiple signatories will be viewed > favorably. > Sincerely, The BiasWatchNeuro team ----------------------------------------------------- Please feel free to send conferences and meetings our way by filling out this <https://docs.google.com/forms/d/e/1FAIpQLSe5ydak4RqHyrVU2BGc17T_SXsFiYB9j_Y…> form. For more information: www.biaswatchneuro.com

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Invitation for papers submission to In Silico Pharmacology
by boris gutkin 20 Jul '20

20 Jul '20

On behalf of the In Silico Pharmacology (Springer) editorial board, we would like to invite papers at the interface between computational neuroscience, artificial intelligence, machine learning and neuropharmacology. In Silico Pharmacology provides a forum for peer-reviewed research articles at the cross-roads of computation, neuroscience, pharmacology and toxicology. It is anticipated that all computational and experimental approaches are represented within In Silico Pharmacology. The journal primarily publishes interdisciplinary papers that address computational approaches in multi-scale analysis of bioactive substances from the cellular up to behavioral level as well as drug-design. The journal especially encourages deterministic and stochastic modeling of biological (e.g., biochemical, biophysical and immunological) processes leading to therapeutic advancements, as well as mathematical methods characterizing the pharmacology of substances within the living organism. Papers investigating substance- or material-induced morphological and genetic alterations are also welcome. More information can be found at the journal website: https://www.springer.com/journal/40203/

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PhD Position in Computational Neuroscience at the University of Edinburgh
by CHADWICK Angus 20 Jul '20

20 Jul '20

Applications are invited for a fully-funded 3 year PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh. Applicants should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or a related subject, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also apply. Research in our group focuses on the neural circuit computations underlying perceptual and cognitive function, with a focus on vision and spatial navigation. We use a combination of approaches, including 1) analysis and simulation of biological neural networks, 2) development of novel data analytic methods for large-scale neural recordings, and 3) normative models of neural circuit function informed by machine learning and artificial intelligence. Typical techniques used include dynamical systems theory, statistical physics, signal processing and machine learning. We collaborate closely with experimental neuroscience laboratories both in Edinburgh and further afield. A number of projects are available, and there is flexibility to develop a project to suit the interests and skills of the candidate. Edinburgh is a vibrant and international city with a large student population, and has been voted as “best place to live in Britain”. The School of Informatics hosts an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick(a)ed.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled. The start date for the position is flexible (with earliest possible start September 2020). The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Release of CARLsim5 - Latest version of our GPU-accelerated Spiking Neural Network Simulator
by Jeffrey Krichmar 19 Jul '20

19 Jul '20

Dear Colleagues, We are pleased to announce the release of CARLsim5. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides an intuitive programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. The new release has a python frontend that is compatible with PyNN. Software and user documentation can be found at: https://github.com/UCI-CARL/CARLsim5 New and improved features in CARLsim5 include: · PyNN compatibility · Neuron monitor for observing the voltage and current traces of individual neurons · Improved installation for the Evolutionary Computations in Java (ECJ) interface (coming soon) · Docker images for Windows users and computer cluster users · Saving and loading simulations For those interested in the pyCARL interface, our IJCNN paper will be presented at the Plenary Poster Session I-P7: Spiking Neural Networks, Tuesday, July 21, 2:30PM-4:30PM GMT+1), IJCNN Poster Room 1: P1317 PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network [#20903] Sincerely, The CARLsim team 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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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes 17 Jul '20

17 Jul '20

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Methods to assess binocular rivalry with periodic stimuli Authors: Farzaneh Darki and James Rankin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review Authors: Christian Bick, Marc Goodfellow, Carlo R. Laing and Erik A. Martens https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Spatially extended balanced networks without translationally invariant connectivity Authors: Christopher Ebsch and Robert Rosenbaum https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Geometry of color perception. Part 1: structures and metrics of a homogeneous color space Authors: Edoardo Provenzi https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity Authors: Valentin Schmutz, Wulfram Gerstner and Tilo Schwalger https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. The Impact Factor of the journal is 2.091 ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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3 PhD/MSc Positions at the University of Calgary
by Wilten Nicola 17 Jul '20

17 Jul '20

The Nicola Computational Neuroscience lab at the University of Calgary in the Hotchkiss Brain Institute is looking for three talented researchers at the PhD/Masters level. *PhD/MSc Position 1: Analysis and Modelling of Trained Recurrent and Spiking Neural Networks * The Nicola Lab is looking for a talented Master's or PhD candidate with a strong background in pure or applied mathematics, or physics. The project will involve analyzing the structure and operation of trained spiking and recurrent neural networks to determine how these trained networks perform dynamics, solve tasks, and emulate behaviours. The ideal candidate will have a background in dynamical systems theory, functional analysis, and some statistical analysis, and have a BSc in pure or applied mathematics. Some knowledge of numerical methods and neuroscience is beneficial, but not required. *PhD/MSc Position 2: Modelling Spatiotemporal dynamics in whole-brain imaging* We are looking for a talented Master's or PhD candidate with a background in computational neuroscience, mathematics, or physics. The project will involve analyzing the emergent spatiotemporal dynamics of whole-brain Calcium imaging data obtained in the McGirr Lab for mice undergoing experimentally induced stress paradigms. The ideal candidate will have a background in dynamical systems theory, statistical analysis, and a particular focus on spatial models (Partial Differential Equations), or Markov Processes. The ideal candidate will have a background in scientific programming and numerical methods for the simulation and analysis of these models. *PhD/MSc Position 3: Investigating Synchrony in Spiking Neural Networks * The Nicola Lab is looking for a talented Master's or PhD candidate with a strong background in Applied or Pure mathematics with an emphasis on dynamical systems theory. The project will involve analyzing the synchronizability of non-smooth, integrate-and-fire type spiking neural networks under a variety of conditions. The ideal candidate will have a background in dynamical systems theory, functional analysis, and some statistical analysis, and have a BSc in pure or applied mathematics. The ideal candidate will have a background in scientific programming and numerical methods for conducting simulations. Interested candidates should clarify which position they are applying for in an email to wilten.nicola(a)ucalgary.ca and attach to this email their CV, undergraduate/master's degree transcripts, a letter of research interests, and the contact information for 2 referees. The start-dates are flexible. The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Charl Linssen 16 Jul '20

16 Jul '20

(with apologies for any cross-posting) Dear colleagues, We have a Scientific software developer position available in the SimLab Neuroscience at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in further developing NESTML, a modelling language and corresponding toolchain for the convenient specification of neuron and synapse models and the automatic generation of efficient C++ code from this specification modelling language. For a full description and details of how to apply, please see the announcement on our website: *Scientific Software Developer in Computational Neuroscience* https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-230-E… The application deadline for the position is August 5th. Thank you for your consideration! With kind regards, Charl Linssen _____________________________________ Charl Linssen Ir. MSc SimLab Neuroscience / IAS-6 Jülich Supercomputer Centre (JSC) Institute for Advanced Simulation Forschungszentrum Jülich GmbH c.linssen(a)fz-juelich.de +49 (0)2461 61-5269 _____________________________________

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IMRF2020 postponed to June 07-10 2021 in Ulm, Germany
by Marc Ernst 15 Jul '20

15 Jul '20

Dear participants of the IMRF, Although, the COVID-19 situation is getting better in some places around the world, it is still getting worse in a lot of other places, and travelling to and from Germany is still far away from normal. Additionally, distancing restrictions apply and will likely apply for quite some more time (maybe until a vaccination has been found), which would not allow us to host as many people as anticipated at the venue we reserved in October 2020. As many other conferences, we also considered moving to an online format for the IMRF meeting (https://cops.ifp.uni-ulm.de/imrf2020/ <https://cops.ifp.uni-ulm.de/imrf2020/>). However, we feel the community would not benefit as much as having a meeting in person. Therefore, we decided to postpone the IMRF meeting once again (and hopefully for the last time) to June 07-10, 2021. Abstract submission and registration will stay open. All abstracts already submitted will further be considered. However, as there may be new data or insights gathered even during the COVID-19 pandemic, you can of course log on and adapt your abstracts until the new deadline for abstract submission. Same applies for the symposia already accepted. However, as the symposia have already gone through a review process, we would check these changes again and in case of substantial revisions we would probably re-review them again. We will announce the new deadlines for submission and registration in due time. The abstract submission and registration page can be found here: https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi… <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…> Also for those who already registered, your registrations will stay valid. Others can register at any time. The new registration deadlines will also be announced soon. Sorry for the inconvenience this second postponement may cause and thanks for your understanding. Be safe and stay healthy!!!! Best, Mac Ernst on behalf of the IMRF Organizers.

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Professorship position in explainable/interpretable Machine Learning
by Jörg Lücke 15 Jul '20

15 Jul '20

Dear list, Let me draw your attention to a currently advertised position on explainable / interpretable learning algorithms. The position is in the Health Sciences but researchers with a data analysis background interested in developing in the direction of health data analysis are of interest. Also candidates with a computational neuroscience background or a robotics background are of interest. So the spectrum of potential candidate profiles is relatively broad. Please see the following link for the official advertisement. https://uol.de/stellen/?stelle=67364 The position is a German W2 Professorship position (similar Associate Professor). Thanks and best wishes, Jörg Lücke -- Jörg Lücke (PhD) Professor and Head of the Machine Learning Lab Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uol.de/ml

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CNS*2020 Workshop on "Multi-disciplinary approaches to quantify and model calcium signaling in nervous systems and beyond", July 21-22, 2020 (8.30 am-5 pm BST / GMT+1)
by Maurizio De Pittà 14 Jul '20

14 Jul '20

Dear colleagues, Please share it with your contacts. I am delighted to be able to share with you the finalized program of the forthcoming Workshop on "Multi-disciplinary approaches to quantify and model calcium signaling in nervous systems and beyond," July 21-22, 2020 (8.30 am-5 pm BST / GMT+1) as part of the CNS*2020 Virtual Conference. Workshop website: https://sites.google.com/view/cns2020-calcium-workshop/home We are joining together some of the prominent scientists in the field, touching a whole range of topics and approaches, ranging from techniques and machine learning tools to acquire calcium signals in living systems, to modeling in neurons, synapses, glial and other systems of the body. Confirmed speakers (in alphabetical order): Amit Agarwal, Heidelberg University, Germany Johnatan Aljadeff, University of California at San Diego, USA Alexey Brazhe, Lomonosov Moscow State University, Russia Pengxing Cao, School of Mathematics and Statistics, University of Melbourne, Australia Evan Cresswell-Clay, National Institute of Health, USA & The Basque Center for Applied Mathematics, Spain Silvina Ponce Dawson, Department of Physics, FCEN-UBA & IFIBA, CONICET-UBA, University of Buenos Aires, Argentina Martin Falcke, Max Delbrück Center for Molecular Medicine Berlin, Germany Johannes Friedrich, Simons Foundation, USA Andrea Giovannucci, UNC-Chapel Hill/North Carolina State University, USA Michael Graupner, Université de Paris, CNRS, SPPIN, France Shawn Means, School of Natural and Computer Sciences, Massey University, New Zealand Vijai Rajagopal, University of Melbourne, AUS Leonid Savtchenko & Dimitri Rusakov, Queen Square Institute of Neurology, University College London, UK Simon Schultz, Centre for Neurotechnology and Department of Bioengineering, Imperial College London, UK Alexey Semyanov, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia Ivo Siekmann, Department of Applied Mathematics, Liverpool John Moores University, UK Alexander Skupin, University of Luxembourg, Luxembourg James Sneyd, The University of Auckland, New Zealand Ghanim Ullah, University of South Florida, USA Agne Tilūnaitė, School of Mathematics and Statistics, University of Melbourne, Australia Ruediger Thul, The University of Nottingham, UK Attendance to the online Workshop is FREE but requires registration to the CNS*2020 meeting (this year free of charge). More Info: https://docs.google.com/document/d/1N45m5I4lZ4wUX4kOkxgPqEK4yeIdADuKgdqPuBF… Schedule of the Workshop's talks, along with Crowdcast links for individual sessions may be found on the Sched page of CNS*2020: https://cns2020online.sched.com/overview/type/Workshop/W02%3A+Calcium+signa… CALCIUM WORKSHOP webpage: https://sites.google.com/view/cns2020-calcium-workshop/home Thank you for your consideration. The workshop organizers: Pengxing Cao, University of Melbourne, Australia Maurizio De Pitta, Basque Center for Applied Mathematics, Spain Ivo Siekmann, Liverpool John Moores University, UK ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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Postdoc position at the Research Center Juelich
by Daun, Silvia 13 Jul '20

13 Jul '20

Dear All, I have a Postdoc postion to offer in my lab: "Researchers at the subinstitute Cognitive Neuroscience (INM-3) investigate the neural mechanisms underlying cognitive (dys-) function in healthy subjects and patients suffering from neurological and psychiatric disorders. Functional imaging (PET, MRI) and electrophysiological methods (EEG, TMS, tDCS) are combined with computational approaches. The successful candidate will investigate how neural information processing within the human motor system is impaired by (non-)pathological aging under the supervision of Prof. Dr. Silvia Daun. We are looking to recruit a Postdoc - Cognitive Neuroscience / Computational Neurology at the Research Center Juelich Your Job: • Design, acquisition and analysis of EEG data from healthy subjects and stroke patients • Development of analysis algorithms and mathematical models • Presentation and publication of the results • Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience Your Profile: • Completed study in Computer Science, Computational Neuroscience, Physics, Mathematics, Biomedical Engineering including an excellent doctoral degree • Significant programming skills (preferably in Matlab or Python) • Keen interest in cognitive and systems neuroscience • Experience with the conduction of EEG experiments • Proven scientific achievements as evidenced by publications in international, peer-reviewed journals • Interest in combining basic research and translational research on stroke patients • Good command of English • High social competence and organizational talent • High motivation Our Offer: • Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen • A stimulating, collaborative, and international research environment • A comprehensive further training programme • Flexible working hours and various opportunities to reconcile work and private life • Full-time position with the option of slightly reduced working hours • Limited for 3 years with possible longer-term prospects • Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13 TVöD-Bund Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons." To apply, please follow the link: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-212-E… All the best, Silvia Prof. Dr. rer. nat. Silvia Daun Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de und Professorin für Computational Neuroscience - Modeling Neural Network Function Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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job post: machine learning research scientist at NIMH
by Francisco Pereira 12 Jul '20

12 Jul '20

*** HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). *** About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt *** About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG and EEG) - other types of neural data (e.g. neural recording, calcium imaging) - modelling of human and animal learning and decision-making - Bayesian statistical modelling Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

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Two Research (PhD) Positions in Machine Learning Theory and Applications - Oldenburg University, Germany
by Jörg Lücke 10 Jul '20

10 Jul '20

The Machine Learning Lab at the University of Oldenburg, Germany, is seeking to fill two positions for doctoral researchers Our Machine Learning Lab conducts mathematically grounded research on novel approaches in Machine Learning with a focus on probabilistic generative approaches including deep generative models. Examples are deep variational autoencoders, deep mixture models, and Bayesian networks. Our research projects are conducted in collaboration with leading international labs, and we publish in leading international journals and present on leading conferences. Our interests are in understanding methods and in developing novel approaches to solve difficult problems in Machine Learning. We are interested in problems with strong data corruptions, strong noise and in problems with few data or few labels. Furthermore, we are in general interested in the development of novel approaches that significantly improve learning efficiency (with applications to Big Data). At the same time, we model neural information processing using Machine Learning models in order to understand the nature of biological intelligence. The two positions will both allow for basic research, and they will both allow for applications to data for tasks such as data enhancement (denoising, inpainting, deblurring), unsupervised and semi-supervised learning, super-resolution, outlier detection etc. Part of one position has a focus on addressing such tasks for medical data. Ideal candidates have a strong background in a theoretical subject and/or a high interest in further advancing Machine Learning methods such as variational optimization. Example degrees that qualify for the positions are degrees in Physics, Mathematics, Statistics, in the Data Sciences or degrees of related disciplines. Strong programming skills are a big plus. Candidates have to hold a MSc degree or have to be sufficiently close to obtaining one. Interested researchers are invited to apply for both positions simultaneously (please indicate in the cover letter). This is an informal description of the positions. The only officially relevant descriptions can be found here (please follow the instructions therein): https://uol.de/stellen/?stelle=67425 https://uol.de/stellen/?stelle=67430 Both positions are funded for 2.5 / 3 years with an intention for extensions. Oldenburg is a nice and affordable place to live, and is located within 40mins travel time of the North Sea coast. It is part of the Bremen/Oldenburg metropolitan region of Germany with close cultural and academic links to Dutch cities like Groningen across the German/Dutch border. The application deadline for the positions is July 19, 2020. -- Prof. Dr. Jörg Lücke Leiter Abteilung Machine Learning Department für Medizinische Physik und Akustik Fakultät für Medizin und Gesundheitswissenschaften Carl von Ossietzky Universität Oldenburg D-26111 Oldenburg www.uol.de/ml

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Workshop: Open data, tools, and models from the Allen Institute supporting systematic computational studies in neuroscience
by Anton Arkhipov 10 Jul '20

10 Jul '20

Dear Colleagues, The Workshop “Open data, tools, and models from the Allen Institute supporting systematic computational studies in neuroscience” will take place online on July 21-23, 2020, as a part of the 29th Annual Computational Neuroscience Meeting (CNS*2020). Join us at the Workshop to learn about unique open datasets, software tools, and computational models from the Allen Institute and to discuss how the community can utilize these free resources to support and inform computational and theoretical work. To attend, please register for CNS*2020 at https://www.cnsorg.org/cns-2020 <https://www.cnsorg.org/cns-2020%0b>The registration is free. When: July 21-23, 2020, 8:00am-12:00pm, Pacific Time Workshop Reference: W6 Workshop Organizers: Anton Arkhipov (Allen Institute for Brain Science, Seattle, WA) Saskia de Vries (Allen Institute for Brain Science, Seattle, WA) Nuno da Costa (Allen Institute for Brain Science, Seattle, WA) Confirmed Speakers: Michael Buice (Allen Institute for Brain Science, Seattle, WA) Forrest Collman (Allen Institute for Brain Science, Seattle, WA) Eva Dyer (Georgia Tech, Atlanta, GA) Gaute Einevoll (University of Oslo, Oslo, Norway) Michael Hawrylycz (Allen Institute for Brain Science, Seattle, WA) Tim Jarsky (Allen Institute for Brain Science, Seattle, WA) Jerome Lecoq (Allen Institute for Brain Science, Seattle, WA) Gabriela Michel (Janelia Research Campus, Ashburn, VA) Stefan Mihalas (Allen Institute for Brain Science, Seattle, WA) Lydia Ng (Allen Institute for Brain Science, Seattle, WA) Blake Richards (McGill University, Montreal, Canada) Josh Siegle (Allen Institute for Brain Science, Seattle, WA) Bosiljka Tasic (Allen Institute for Brain Science, Seattle, WA) Jennifer Whitesell (Allen Institute for Brain Science, Seattle, WA) Joel Zylberberg (York University, Toronto, Canada) Further details: https://alleninstitute.org/what-we-do/brain-science/events-training/2020-cn… We hope to see you there! Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png(a)01D5F0E2.E3F24C00] www.alleninstitute.org<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.alleni…>

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9th International Summer School in Biomedical Engineering (2020)
by Dölker Eva-Maria TU Ilmenau 09 Jul '20

09 Jul '20

Dear Colleagues, We are pleased to announce that we have an excellent list of lecturers at the 9th International Summer School in Biomedical Engineering (2020) hold from 5th-11th August 2020 in Augustinerkloster in Erfurt, Germany. The program can be found on the summer school webpage: https://www.tu-ilmenau.de/bmti/wissenschaftliche-veranstaltungen/summer-sch… We are currently accepting PhD students and advanced Master students applications. Registration info can be found at the point “General Information”. Please send any enquiries to Eva-Maria Dölker <eva-maria.doelker(a)tu-ilmenau.de<mailto:eva-maria.doelker@tu-ilmenau.de>>. Best regards, Eva-Maria Dölker Organization of the Summer School

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FENS Workshop on Glial interfaces: Technology & Methods to uncover the 4D glial role in brain function & dysfunction
by Maurizio De Pittà 09 Jul '20

09 Jul '20

Dear colleagues, please mark it on your calendar and disseminate among your contacts: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/281 This year's FENS Forum of Neuroscience, which will take place online due to the ongoing Covid19 health emergency, will feature a multidisciplinary workshop on "Glial Interfaces: Technology & Methods to uncover the 4D glial role in brain function & dysfunction" on Saturday, July 11, 2020, 9 am-11.30 am (BST: British Summer Time, GMT+1). *** Program at a glance: Multiscale excitation and recording of astrocytes signaling and conductance by nanostructured devices, Valentina Benfenati, National Research Council, CNR-ISOF, Italy, Exposure to graphene oxide alters astrocyte homeostasis and astrocyte-to-neuron communication, Fabrizia Cesca, University of Trieste, Italy. Lessons learned from a tissue-engineered 3D model of the glial scar, Ana Paula Pêgo, Institute for Bioengineering (INEB), and Institute for Research and Innovation in Health (I3S), Portugal. Reverse engineering neuron-glial interactions: An overarching approach from cellular biophysics to medicine, Maurizio De Pitta, Basque Center for Applied Mathematics, Spain. Exploring the structure, neuronal content, and functional significance of astrocytic domains of behaving animals with CLARITY and 2-photon imaging, Adi Doron, The Hebrew University, Israel. The color of pain: Technology advances allowing the future objective quantification, Mark Hutchinson, University of Adelaide, Australia. *** A Live Q&A session will follow the workshop. For further information: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/281 Thank you for your consideration. Maurizio De Pitta ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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Call for papers: GEM 2021 - workshop on generative episodic memory
by Vinita Samarasinghe 09 Jul '20

09 Jul '20

Call For Papers: *GEM 2021**- Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 /Ruhr University Bochum, Germany/ The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for papers for its first workshop on generative episodic memory. Depending on the public health situation in February next year, the workshop will be in-person, virtual or a hybrid event. We invite submissions for talks and posters https://easychair.org/cfp/gem2021. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - University of Syracuse, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Deadlines [GMT +1 (CET)]: Abstract submission - 15.11.2020 Notification of acceptance - 19.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe(a)ini.rub.de

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Fully funded Ph.D. Studentship in Cognitive Computational Neuroscience
by Wong-Lin, Kongfatt 08 Jul '20

08 Jul '20

Applications are invited for a fully funded 3-year Ph.D. studentship in Cognitive Computational Neuroscience at Ulster University, UK. This Ph.D. project aims to develop computational modelling techniques to understand brain and behavioural data across primate species, and to apply techniques in computational neuroscience particularly biologically based neural network modelling to elucidate the mechanisms underlying abstract decision making. This Ph.D. project is part of an externally funded international collaboration: Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Dr. KongFatt Wong-Lin at Ulster University (UK). Some relevant references: (i) O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 (ii) Atiya NAA, Rañó I, Prasad G, Wong-Lin K. A neural circuit model of decision uncertainty and change-of-mind. Nat Commun. 2019;10(1):2287. doi:10.1038/s41467-019-10316-8 (iii) O'Connell RG, Dockree PM, Kelly SP. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci. 2012;15(12):1729‐1735. doi:10.1038/nn.3248 This timely and exciting project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment at Magee Campus. The successful Ph.D. candidate will benefit from the expertise of Ulster’s Cognitive and Computational Neuroscience, Machine Learning, and Computational Biology communities, and will interact closely with experimental collaborators. The student will gain valuable skills and knowledge in computational and mathematical modelling, biological signal processing, machine learning, high-performance computing, mathematics/statistics, and brain sciences. All applicants should hold a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, Mathematics, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills, experience and interests. Successful candidates will enrol as of 1st January 2021, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The Ph.D. studentship will comprise fees together with an annual stipend and will be awarded for a period of up to three years subject to satisfactory progress. Additional financial support may be available from research funding. If you wish to discuss your proposal or receive advice on this project please contact: Dr. KongFatt Wong-Lin, email: k.wong-lin(a)ulster.ac.uk . Procedure: For more information on applying: https://www.ulster.ac.uk/doctoralcollege Apply online: https://www.ulster.ac.uk/doctoralcollege/find-a-phd?type=funded The closing date for receipt of completed applications is 31st August 2020. Interviews will be held in September 2020, and starting date is on 1st January 2021. ------------------- Dr. KongFatt Wong-Lin Reader Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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PhD Position at the Brain Circuits and Behavior Lab, IDIBAPS, Barcelona
by DE LA ROCHA, JAIME(IDIBAPS) 08 Jul '20

08 Jul '20

We are offering a PhD position in the Brain Circuits and Behavior Lab (IDIBAPS, Barcelona) to participate, under the supervision of Jaime de la Rocha, in the ERA-NET project titled A neurocomputational biomarker assay for schizophrenia based on E/I-balance. The project aims to perform perceptual discrimination experiments in mice lacking the GluN1 subunit of NMDA receptors in PV cells, a known murine model for schizophrenia (SCZ). High-throughput behavioral experiments will be combined with neural population recordings and optogenetic manipulations to elucidate the relation between NMDA hypofunction, altered E/I balance in cortical circuits and perceptual discrimination deficits. The candidate will be part of the Brain Circuits and Behavior Lab in IDIBAPS (Barcelona) an interdisciplinary group led by Albert Compte and Jaime de la Rocha, which integrates students from different backgrounds and combines human and animal experiments with computational modeling to address questions related with perceptual decision making, learning and working memory (see braincircuitsbehavior.org<http://braincircuitsbehavior.org/>). IDIBAPS is a well-recognized biomedical research institute in Spain, located in the heart of Barcelona (www.clinicbarcelona.org/en/idibaps<http://www.clinicbarcelona.org/en/idibaps>). Our group is also an active member of the BARCCSYN community, a large and lively network of Systems and Computational Neuroscience Groups in Barcelona which offers a rich and stimulating environment for international students and postdocs (see barccsyn.org<http://barccsyn.org/>). The PhD project will take place in the context of a broader ERA-NET consortium formed by Philpp Sterzer (Charité), Tobias Donner (Univ. Hamburg UKE), Peter Uhlhaas (Univ. of Glasgow) and Srdjan Ostojic (Ecole Normale Supérieure). The goal of the full project is to use theoretical circuit models, human EEG/MEG experiments in SCZ patients and population recordings in mice to identify behavioral and neurophysiological biomarkers of SCZ. The candidate should have completed two degrees: a bachelor degree in either Biology, Psychology, Physics or Computer Science (or related), and a Masters in Neuroscience (or similar). She/he should have a strong interest in carrying out animal experiments, learning modern electrophysiology methods together with state-of-the-art quantitative data analysis techniques. She/he should contact Jaime de la Rocha (jrochav(a)clinic.cat<mailto:jrochav@clinic.cat>) and provide a motivation letter, a CV and the name of at least two referees. Gross annual salary will be 21.7k€ and the position’s starting date will be October 1st, although exceptions may apply. Students from under-represented ethnical groups are particularly encouraged to apply. Applications will be evaluated from July 31st on, until the position is filled. ******************************* Jaime de la Rocha Group Leader at IDIBAPS c. Rosselló 149-153 Barcelona, 08036 Spain Tel. (+34)932275400 (4307)

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[announcement] Dynamics Days Digital 2020: 24-26 August 2020
by desroche 08 Jul '20

08 Jul '20

Dear All, We are pleased to announce Dynamics Days Digital 2020 https://www.danieleavitabile.com/ddd2020/ <https://www.danieleavitabile.com/ddd2020/> Participation to the event is free of charge, but registration to our website is mandatory. Oral contributions are now closed, but poster submissions remain open through our website, until the 12th of July 2020. We confirm participation from the following plenary speakers: * Albert-László Barabási (Northeastern University, USA) * Nancy Kopell (Boston University, USA) * Corinna Ulcigrai (University of Zürich, Switzerland) Accepted minisymposia include: * Network dynamics in biological systems * Stochastic Oscillators * New Twists on Reaction-Diffusion Phenomena * Data-driven modeling of stochastic nonlinear dynamics: theory and computing * Symmetry breaking in collective behavior: swarming, flocking and chimeras * Complex network approaches for modelling system dynamics * Dimensional Reduction Methods for Coupled Oscillator Networks: Future directions * Dynamics of complex networks: from nature to technology * Complex dynamics in biological and synthetic cells * Dynamic properties from observations - mathematical methods and applications * Coordination of biological processes via traveling waves * Nonlinear wave patterns in biology * Singular Limits and Asymptotics-Adapted Numerical Schemes for Nonlinear Wave Equations * Smooth ergodic theory * Modelling the dynamics of Covid-19 Pandemic * Multiple scales in mathematical neuroscience We look forward to hosting you. The Organising Committee: Daniele Avitabile (chair) Peter Ashwin Christian Bick Mathieu Desroches

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CNS*2020 Online Meeting starts **July 18**
by Martin Zapotocky 07 Jul '20

07 Jul '20

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* * The *29th Annual Computational Neuroscience Meeting (CNS*2020) *will take place online on *July 18--22*. *Registration is free of charge*. In addition to the Main Meeting sessions, the conference hosts 10 tutorials/showcases and 10 workshops, for a total of *over 200 oral and 200 poster presentations*. Keynote addresses will be given by Matt Botvinick, Zhaoping Li, Geoff Goodhill, and Daniel Polani. To gain access to the meeting schedule and the online sessions, please register at https://www.cnsorg.org/cns-2020 You can then use the CNS*2020 Sched instance to assemble a personalized meeting agenda. We hope that you will join us and the 1,200 already registered participants at the CNS*2020 Online Meeting. -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL: www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email: zapotocky(a)biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Postdoc position in computational neuroscience at University of Pittsburgh
by Chengcheng Huang 07 Jul '20

07 Jul '20

The Huang group at the University of Pittsburgh has a postdoc position available immediately for computational modeling to understand how recurrent connections with synaptic plasticity shape the time scales in the auditory cortex. This position is part of a collaboration with Prof. Tobias Teichert and Prof. Dean Salisbury from the Department of Psychiatry at the University of Pittsburgh. This project aims to use a combination of modeling, electrophysiology and EEG recordings to investigate the circuit mechanisms underlying auditory refractoriness, as well as auditory dysfunction in Schizophrenia. In general, our group is interested in how different task and stimulus contexts change neuronal responses and the implications on neural coding. Other ongoing projects in the group include circuit models of interneuron subtypes and attentional modulation on information flow. The position is funded for two years, with an initial one-year appointment, and it can be possibly extended to three years. The project is funded by a Brain Initiative grant. Candidates should have a Ph.D. in a related field, such as computational neuroscience, mathematics, physics or engineering. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested applicants should email a CV and a brief research statement to Dr. Chengcheng Huang (huangc(a)pitt.edu) -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience and Department of Mathematics University of Pittsburgh

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Two PhD positions in computational neuroscience at the University of Amsterdam
by Jorge Mejias 07 Jul '20

07 Jul '20

Dear all, We have two PhD positions in computational neuroscience available at the Cognitive and Systems Neuroscience Group at the Swammerdam Institute for Life Sciences, University of Amsterdam (the Netherlands). Both positions are funded by the Human Brain Project (HBP-SGA3) and will be co-supervised by Cyriel Pennartz, head of the Cognitive and Systems Neuroscience Group, and Jorge Mejias, Principal Investigator of Computational Neuroscience. Position #1: The main objective of this PhD project is to develop a large, biologically plausible model of a cortical architecture that is trained for predictive object and scene representations and performs cognitive operations on these representations, such as scene segmentation, object categorization and object constancy in the face of variable sensory input. The candidate will closely collaborate with other computational neuroscientists, experimental neuroscientists, theoreticians and machine learning experts across different research teams in Europe. For this position, we are seeking a highly qualified and motivated candidate with a Master's degree in computational neuroscience or closely related field with a strong background in modeling neural networks or, alternatively, a MSc in machine learning/AI or biomedical, electronic or automation engineering, computer science, physics or a closely related field with a clear background or affinity for brain-inspired modeling. Strong programming skills in Python and experience in machine learning and (deep) neural network modeling is desirable. English is the official language of the lab, therefore good English communication skills are expected. Position #2: The main objective of this PhD project is to develop a biologically realistic computational model of multi-area cortical circuits involved in multisensory perception, categorization and sensory prediction. We will build a model constrained by state-of-the-art neuroanatomical data, which will include biologically relevant information such as cortical laminar structure, multiple cell types, and biologically realistic learning rules for synaptic plasticity. The model will be able categorize stimuli in simple multisensory tasks and will provide computational predictions on neural activity which we will compare to experimental data from collaborators. The candidate will also closely collaborate with other computational neuroscientists, experimental neuroscientists, theoreticians and machine learning experts across different research teams in Europe. For this position, we are seeking a highly qualified and motivated candidate with a Master's degree in computational neuroscience or closely related field (with a focus on modeling biological neural systems) or, alternatively, an MSc in physics, mathematics or a closely related field and a clear background or affinity for brain modeling. Strong mathematical skills including calculus, linear algebra, dynamical systems and complex systems, as well as strong computational skills (Python, NEST) are desirable. English is the official language of the lab, therefore good English communication skills are expected. For both positions, we offer a full-time appointment for a maximum period of four years (18 months plus a further 30 months after a positive performance evaluation) and should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance to courses and (international) meetings. The gross monthly salary will range from €2,395 in the first year to €3,061 in the final year, according to the Dutch salary scale for PhD candidates. Additional benefits include a holiday allowance and an end-of-year bonus (8% and 8.3% of the gross annual salary, respectively) and generous vacation, pension and social security conditions in accordance with the Collective Labour Agreement of Dutch Universities. Candidates coming from abroad might also be eligible for highly attractive tax benefits. The lab is located in the state-of-the art facilities of the Science Park at the University of Amsterdam, with good communications with other academic facilities and research centers in the city. The University of Amsterdam is a top research university with a strong focus on the research area of brain and cognition. As one of the most vibrant cities in Europe, Amsterdam has a rich historical and cultural heritage that includes the UNESCO World Heritage city center and canals, dozens of world-class museums and restaurants, and an exciting nightlife. The city promotes a healthy lifestyle with plenty of outdoor life, parks and recreational areas, an excellent bicycle path network, and an expat-friendly environment. The application deadline for both positions is July 24th, 2020. Candidates may apply to both positions, but they are asked to indicate their preference for any of them. Applications may only be submitted online by following the links below (where more detailed information about both positions is provided): Position #1: https://sils.uva.nl/shared/uva/en/vacancies/2020/06/20-352-phd-candidate-in… Position #2: https://sils.uva.nl/shared/uva/en/vacancies/2020/06/20-353-phd-candidate-in… Please include a letter of motivation and a CV, combined in one single pdf document. Make sure to mention the months (not just years) in your CV when referring to your education and work experience. To enable us to process your application immediately, please quote the vacancy number for the position you are applying for (20-352 for project #1, 20-353 for project #2). For informal inquiries, please contact Dr. Jorge Mejias (j.f.mejias at uva.nl). Kind regards, Jorge F. Mejias, PhD Assistant Professor of Computational Neuroscience Cognitive and Systems Neuroscience Group Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias -- Jorge F. Mejias, PhD Assistant Professor Cognitive and Systems Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias

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PhD Position on the Brain, Language and Multilingualism
by Narly Golestani 06 Jul '20

06 Jul '20

With the launch of a new ‘NCCR Evolving Language’ (http://www.snf.ch/SiteCollectionDocuments/nfs/Faktenblatt_NCCR_evolvinglang…) which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to fill a PhD position for a four-year project, starting in September or October 2020. Our goal is to make progress in understanding language giftedness from cognitive, psychological and neural perspectives. To this end, we plan to carry out a set of studies involving acquisition of both behavioral measures of cognitive and language-related abilities (e.g. auditory/perceptual abilities, phonemic perception and production, inductive learning, working memory etc) and of brain imaging measures (fMRI and sMRI). The project will be supervised by Narly Golestani (University of Geneva) and Raphael Berthele (University of Fribourg), and will be done in collaboration with a postdoctoral fellow. Data will be collected with Francophone (mono- and multilingual) subjects. Applicants should hold have a background in cognitive neuroscience or psychology, with solid experience in brain functional neuroimaging (ideally fMRI), behavioral testing and strong statistics skills. Command of the French and English languages is essential. Given hiring restrictions due to Covid19, priority will be given to European applicants, at least for now. The NCCR places great emphasis on gender diversity and we particularly encourage women to apply. Applicants may send a pdf file including a cover letter, a CV, names and contact information of 3 references as well as any other relevant documents to Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch> and Raphael.berthele(a)unifr.ch<mailto:Raphael.berthele@unifr.ch>. Deadline for application: July 22nd 2020 ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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Offer of a PhD position
by Daun, Silvia 06 Jul '20

06 Jul '20

Dear All, I have a PhD position to offer in my lab: "Researchers at the subinstitute Cognitive Neuroscience (INM-3) investigate the neural mechanisms underlying cognitive (dys-) function in healthy subjects and patients suffering from neurological and psychiatric disorders. Functional imaging (PET, MRI) and electrophysiological methods (EEG, TMS, tDCS) are combined with computational approaches. The successful candidate will investigate how neural information processing within the human motor system is impaired by (non-)pathological aging under the supervision of Prof. Dr. Silvia Daun. We are offering a PhD Position - Cognitive Neuroscience / Computational Neurology at the Research Center Juelich Your Job: * Acquisition and analysis of EEG and fMRI data from healthy subjects and stroke patients * Implementation of analysis algorithms * Presentation and publication of the results * Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience Your Profile: * Excellent University degree (Diploma/Master) in Computational Neuroscience, Physics, Psychology, Biomedical Engineering or a related field * Solid programming skills (preferably in Matlab or Python) * Keen interest in cognitive and systems neuroscience * Good command of English Our Offer: * Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree * A highly motivated group as well as an international and interdisciplinary working environment at one of Europe`s largest research establishments * An attractive research campus, situated between the cities of Cologne, Düsseldorf, and Aachen * Chance of participating in (international) conferences and project meetings * Continuous scientific mentoring by your scientific advisor * Doctoral degree conferred by University of Cologne * Participation in overarching seminars including certificate * Further development of your personal strengths, e.g. via a comprehensive further training programme * Pay in line with 65 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund). Pay higher than the basic pay may be possible * Information on employment as a PhD student at Forschungszentrum Jülich can be found here http://www.fz-juelich.de/gp/Careers_Docs Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons." To apply, please follow the link: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020D-071-… All the best, Silvia Prof. Dr. rer. nat. Silvia Daun Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de und Professorin für Computational Neuroscience - Modeling Neural Network Function Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque 01 Jul '20

01 Jul '20

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering *three post-doctoral fellowships* for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, São Paulo), USP campus Ribeirão Preto or University of Campinas (UNICAMP). We seek candidates capable to develop independent research in one of the research lines below: 1. Stochastic and/or computational modeling of the brain functioning; 2. Acquisition, processing and quantitative analysis of electrophysiological data; 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered; and/or - A strong mathematical and / or computational background and experience with computers and programming. Previous experience with development and / or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming; and/or - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: - A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic / electric field simulation will be favorably considered; and/or - A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions* Applicants should complete and submit the application form (https://neuromat.numec.prp.usp.br/postdoc/new/) The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see http://www.fapesp.br/en/6351 for instructions); - List of publications, with links to those available online; - A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program ( https://neuromat.numec.prp.usp.br/scientific-project/) - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. FAPESP requirements: The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR Nº 13/2009, 15 July 2009). The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR Nº 13/2009, 15 July 2009). *Timetable* Candidates are encouraged to apply at their earliest convenience until August 16, 2020. Appointments are expected to start by November 1st, 2020. The initial period of the position lasts for 12 months, with possible renovations for up to three years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. Check the rules of FAPESP post-doctoral fellowships at: http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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[SOFTWARE] Open-Source Neurodynamic Modeling Software PyRates
by Richard Gast 01 Jul '20

01 Jul '20

The Brain Networks Group and Neurophysics Department of the Max-Planck Institute for Human Cognitive and Brain Sciences Leipzig released an open-source Python software for neural network and dynamical systems modeling: PyRates (https://github.com/pyrates-neuroscience/PyRates, https://www.cbs.mpg.de/departments/neurophysics/software/pyrates) Main features of PyRates are: - Intuitive and re-usable model definitions via YAML files or purely in Python - networkx representations of each model allows to compute graph theoretic measurements on the fly (https://networkx.github.io/) - Efficient numerical simulations via scipy, numpy and tensorflow - evolutionary model parameter optimization - large-scale parameter sweeps on single machines and compute clusters - parameter continuation and bifurcation analysis via auto-07p For a full list of features and their documentation, check out the PyRates documentation at https://pyrates.readthedocs.io/en/latest/. For feedback and contributions, contact us via our GitHub repository: https://github.com/pyrates-neuroscience/PyRates. Install instructions can be found there as well!

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