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Professorship position in explainable/interpretable Machine Learning
by Jörg Lücke July 15, 2020

July 15, 2020

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 July 14, 2020

July 14, 2020

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 July 13, 2020

July 13, 2020

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 July 12, 2020

July 12, 2020

*** 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 July 10, 2020

July 10, 2020

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 July 10, 2020

July 10, 2020

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 July 9, 2020

July 9, 2020

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 July 9, 2020

July 9, 2020

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 July 9, 2020

July 9, 2020

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 July 8, 2020

July 8, 2020

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) July 8, 2020

July 8, 2020

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 July 8, 2020

July 8, 2020

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 July 8, 2020

July 8, 2020

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 July 7, 2020

July 7, 2020

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 July 7, 2020

July 7, 2020

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 July 6, 2020

July 6, 2020

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 July 6, 2020

July 6, 2020

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 July 1, 2020

July 1, 2020

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 July 1, 2020

July 1, 2020

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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Opening for Research Associate
by Paola Malerba June 30, 2020

June 30, 2020

The Malerba Lab at the Abigail Wexner Research Institute Battelle Center for Mathematical Medicine in Columbus, Ohio is looking for a new Research Associate. The lab focuses on brain rhythms, especially during sleep, and their role in cognition (memory and motor skills). We are looking for a detail-oriented, adaptable and curious mind, who has graduate-level training and at least one year of experience working in a research lab. The position (initially for one year, with possible extension tied to lab funding) will be centered on high-level quantitative EEG analysis and simulations of neural network dynamics related to ongoing research projects. Demonstrated proficiency in programming (Matlab and python) is required, and so is interest in how brain dynamics is tied to behavior. Some neuroscience training is desirable. A small part of the position will be to screen and coordinate research subjects for participation to ongoing studies, hence timeliness and people skills are necessary. The Research Institute at NCH is a collaborative interdisciplinary environment, that strives to apply the most modern knowledge to challenging questions with high impact. The Malerba lab is part of the Center for Mathematical Medicine, and contributes to the Chronic Brain Injury collaborative at Ohio State University and the Neurodevelopmental Research Interest Group at NCH. We have collaborations at local, national and international level and are developing strategies to introduce brain dynamics during sleep to the toolbox of medical interventions. Link to the full ad and application page: https://external-nationwidechildrens.icims.com/jobs/24247/research-associat… Informal inquiries to MalerbaLab(a)nationwidechildrens.org are welcome. Paola Malerba, PhD Principal Investigator, Battelle Center for Mathematical Medicine Abigail Wexner Research Institute, Nationwide Children’s Hospital Assistant Professor, Ohio State University Department of Pediatrics, College of Medicine Biophysics Graduate Program Neuroscience Graduate Program Malerba Lab at BCMM <https://www.nationwidechildrens.org/research/areas-of-research/battelle-cen…> 575 Children’s Crossroad WB5145 Columbus, OH 43215 Phone: (614) 355-5894

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Bernstein Conference 2020 - abstract submission deadlines extended
by a.dorrn＠fz-juelich.de June 30, 2020

June 30, 2020

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year’s Bernstein Conference will take place September 29 – October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020 www.bernstein-conference.de<http://bit.ly/BC_online> ____ NEWS * Participation will be free of charge * Registration will open mid-July * Abstract submission deadlines have been extended: * July 17, 2020: deadline for submission of abstracts to be considered for Contributed Talks * August 21, 2020: deadline for abstract submission * Find more information here: bit.ly/BC20abstracts<http://bit.ly/BC20abstracts> * Selected satellite workshops are now published: bit.ly/BC20workshops<https://bit.ly/BC20workshops> * more information regarding the PhD symposium will follow soon ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerranée, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'École normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Information theory workshop at CNS*2020 -- call for contributed talks
by Joseph Lizier June 30, 2020

June 30, 2020

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<http://lizier.me/joseph/conferences/202007-CNS2020-ITW/> will be held once again at the CNS*2020<https://www.cnsorg.org/cns-2020> conference, online. The workshop will be held during 3 sessions over two days of the main conference, July 21 (15:00-18:30 CET) and July 22 (09:00-12:30, 15:00-18:30 CET). Our confirmed speakers so far include the following (schedule available soon): * Oliver Cliff, The University of Sydney -- "Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series" * Abdullah Makkeh, University of Goettingen -- "A differentiable measure of pointwise shared information" * Thomas Parr, University College London -- "Inferring what to do" * Daniel Polani, University of Hertfordshire -- TBA * Maryam Shanechi, University of Southern California -- TBA * Naotsugu Tsuchiya, Monash University -- "Structure of information to understand the physical basis of consciousness" * ... more TBA! Also, we would like to call for contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>) at your earliest convenience (earlier submissions will be prioritised) Please see our website https://bit.ly/cns2020itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier Justin Dauwels Lubomir Kostal Michael Wibral

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Computation research assistant - DZNE Berlin
by Silvia VianadaSilva June 30, 2020

June 30, 2020

Job announcement: We are looking for a computational neuroscience research assistant to join my newly formed lab at the DZNE in Berlin. The qualification level for this position is a Bachelor in neuroscience, data science, bioinformatics or similar qualifications in another related field. The requirements are some basic knowledge of neuroscience and proficiency in Matlab and/or Python. My lab will be doing electrophysiology recordings in freely behaving mice in the field of neurodegeneration. Spiking and local field potential data will be the main focus of analysis. This is a 1year position (until end of July 2021) to help the team with analysis of tetrode and silicon probe recordings from awake, freely moving mice. Although the position is purely computational it will give the opportunity to closely work with the experimental side of the lab and some training can be provided if it is of interest to the potential candidate. Being a team player is an essential requirement. Position to be filled asap! We are committed to increase diversity in science and would specially encourage women and URM to apply. Come join us in the heart of Berlin. Please send your application or further questions to silvia.vianadasilva(a)dzne.de<mailto:silvia.vianadasilva@dzne.de> Thank you in advance, Silvia Silvia Viana da Silva Junior Research Group Leader DZNE Berlin Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE) c/o Charité - Universitätsmedizin Berlin Charitéplatz 1 10117 Berlin

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[JOBS] PhD @ Italian Institute of Technology, Ferrara
by Alessandro D'Ausilio June 30, 2020

June 30, 2020

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is opening 4 PhD positions for the Academic Year 2020-2021. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Investigation of sensorimotor functions in animal models - Machine learning applications to multimodal brain and speech signals - Human neurophysiology of speech and sensorimotor communication - Cortical recordings in human patients during awake Neurosurgery - Hardware and software development for innovative exploration of brain signals Who: chemists, physicists, materials scientists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/centers/ctnsc-unife <https://www.iit.it/centers/ctnsc-unife>) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. UNIFE is one of the oldest Universities (founded in 1391) and one of the excellence Universities in Italy nowadays for research. Ferrara is well connected by train and freeway (30-min to Bologna, 40-min to Padua, 60-min to Venice and their airports), bustling with students as it is an affordable University city (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience <http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience> Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection <http://www.unife.it/studenti/dottorato/concorsi/selection> DEADLINE: 24 July 2020 Contacts: Luciano Fadiga (CTNSC Director): luciano.fadiga(a)iit.it <mailto:luciano.fadiga@iit.it> Thierry Pozzo: thierry.pozzo(a)iit.it <mailto:thierry.pozzo@iit.it> Fabio Biscarini: fabio.biscarini(a)iit.it <mailto:fabio.biscarini@iit.it> Michele Bianchi: michele.bianchi(a)iit.it <mailto:michele.bianchi@iit.it> Antonino Casile: antonino.casile(a)iit.it <mailto:antonino.casile@iit.it> David Papo: david.papo(a)iit.it <mailto:david.papo@iit.it> Alessandro D’Ausilio: alessandro.dausilio(a)iit.it <mailto:alessandro.dausilio@iit.it>

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PhD offer "Ultra-fast vision using Spiking Neural Networks" coordinated by Laurent Perrinet (CNRS - Marseille, France)
by Laurent Perrinet June 30, 2020

June 30, 2020

Dear colleagues, Applications are welcome for a fully funded doctoral position at INT <http://www.int.univ-amu.fr/?lang=en> in Marseille <https://en.wikipedia.org/wiki/Marseille>, France. Your mission will be to build ultra-fast vision algorithms using event-based cameras and spiking neural networks. The project is funded by the APROVIS3D <https://laurentperrinet.github.io/grant/aprovis-3-d/> grant (ANR-19-CHR3-0008-03) and will be coordinated by Laurent Perrinet <https://laurentperrinet.github.io/>. The work will be carried out in collaboration with a leading computer science institute at Université Côte d’Azur (Sophia Antipolis, France), the Laboratoire d’Informatique, Signaux et Systèmes de Sophia-Antipolis (I3S, UMR7271 - UNS CNRS), that will be part of the supervision team. We are seeking candidates with a strong background in machine learning, computer vision and computational neuroscience. To obtain further information, please visit https://laurentperrinet.github.io/post/2020-06-30_phd-position <https://laurentperrinet.github.io/post/2020-06-30_phd-position> and contact me @ Laurent.Perrinet(a)univ-amu.fr <mailto:Laurent.Perrinet@univ-amu.fr>. To candidate, follow instructions on the dedicated server from the CNRS <https://bit.ly/3igRji4>. The starting date is set to October 1st, 2020 and the appointment is for 36 month. Applications are welcome immediately. Thanks for distributing this announcement to potential candidates! Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/ <https://laurentperrinet.github.io/>

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Can you define behavior?
by Adam J Calhoun June 30, 2020

June 30, 2020

Hi, Ahmed El Hady and I are writing to you to request your participation in a brief survey (less than 10 minutes). We are interested in how people from different disciplines define “behavior”. If you are willing to answer some questions on what constitutes behavior, please take the survey (link below)! Survey participants can enter to win a $50 Amazon gift card. Survey link: https://princetonsurvey.az1.qualtrics.com/jfe/form/SV_aWUZqxtDbUCFGg5 Your participation in the survey is completely voluntary and all of your responses will be kept confidential. No personally identifiable information will be associated with your responses to any reports of these data. The Princeton Institutional Review Board has approved this survey. Should you have any comments or questions, please feel free to contact me at adamjc(a)princeton.edu. Thank you very much for your time and cooperation. Sincerely, Adam Calhoun and Ahmed El Hady

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Senior Post-Doc Fellowship Grant in Neuromorphic Computing/Hardware
by bernabe June 29, 2020

June 29, 2020

Dear colleagues, The Neuromorphic Group at the IMSE (Sevilla Microelectronics Institute http://www.imse-cnm.csic.es/neuromorphs) is looking for highly motivated senior post-doc candidates to apply for a Research Felloowship from the Andalusian Government. Candidates must have a PhD degree between 5 and 12 years from the graduation date. The 4-year grant comes with a companion 160k€ budget for initial research expenses (for hiring students, technicians, traveling, equipment, or other expenses). Minimum salary is 35k€, while the full salary is negotiable with the hosting institution or research group. The application should include a brief (normalized) CV, a brief summary of the candidate's research activities, and a research proposal at the hosting institution. Applicants interested in presenting a Neuromorphic Computing/Hardware proposal please contact bernabe(a)imse-cnm.csic.es to jointly prepare the proposal. --

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Postdoc and PhD positions in EU project on motor control and movement augmentation
by Tobias Pistohl June 29, 2020

June 29, 2020

*Postdoc and PhD positions in EU project on motor control and movement augmentation* Bernstein Center, University of Freiburg NEXT lab, Università Campus Bio-Medico di Roma Department of Bioengineering, Imperial College London Multiple postdoc and PhD positions are available in the labs of Carsten Mehring (University of Freiburg), Domenico Formica and Giovanni di Pino (Università Campus Bio-Medico di Roma) as well as Dario Farina and Etienne Burdet (Imperial College London), on motor control and movement augmentation, in the context of the EU project NIMA. The NIMA project aims to develop body, muscle and neural interfaces for controlling additional degrees-of-freedom of supernumerary limbs, devices or computers independently from movements of the natural limbs. We have formed a team of leading experts in neuroscience, neurotechnology, human-machine interfaces, robotics, and ethics from various institutions across Europe (University of Freiburg, Università Campus Bio-Medico di Roma, Sorbonne Université, Tecnalia Foundation, Imperial College London) to accomplish the following objectives: 1) Pushing the borders of technology by creating non-invasive interfaces with multimodal sensory feedback that will allow effortless control of multiple limbs or objects; 2) Understanding the cognitive and neural mechanisms underlying movement augmentation, how it can be functionally embodied and how this can be facilitated by multimodal feedback, by combining neuromodulation, computational modelling and behavioural experiments; 3) Applying movement augmentation to extend human capacities and preparing the ground for exploitation, using different testbeds; 4) Evaluating the ethical and safety aspects of movement augmentation. Multiple positions are available at the different institutions listed above from October, 1^st 2020 on. Interested applicants with suitable background should submit a CV, a letter of motivation (max. 1 page) and indicate which of the institution(s) they are interested in to Dr. Tobias Pistohl (tobias.pistohl(a)bcf.uni-freiburg.de <mailto:tobias.pistohl@bcf.uni-freiburg.de>). In case of questions you can contact Dr. Tobias Pistohl or the PIs of the different labs: - Carsten Mehring <carsten.mehring(a)biologie.uni-freiburg.de <mailto:carsten.mehring@biologie.uni-freiburg.de>>, for positions at University of Freiburg - Domenico Formica<d.formica(a)unicampus.it <mailto:d.formica@unicampus.it>> and Giovanni Di Pino <g.dipino(a)unicampus.it <mailto:g.dipino@unicampus.it>> for positions at UCBM - Etienne Burdet <e.burdet(a)imperial.ac.uk <mailto:e.burdet@imperial.ac.uk>> and Dario Farina <d.farina(a)imperial.ac.uk <mailto:d.farina@imperial.ac.uk>> for positions at Imperial College London The University of Freiburg is in the southwest of Germany close to the French and Swiss borders. Freiburg has a vibrant academic community and our group is part of the Bernstein Center Freiburg (http://www.bcf.uni-freiburg.de) which provide first-class environments for research on Computational Neuroscience and Neurotechnology. NEXTlab at UCBM (www.unicampus.it/next <http://www.unicampus.it/next>) is a multidisciplinary research group working at developing new tools and methods to study and model human motor control, and to improve the embodiment of robotic hand prostheses and supernumerary limbs. The group at Imperial College London is pursuing basic and applied research in human interface (https://www.imperial.ac.uk/human-robotics, https://www.imperial.ac.uk/people/d.farina)

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Scientific Project Coordinator for an open science, large-scale collaboration
by Lucia Melloni June 28, 2020

June 28, 2020

Dear all, If you are seeking a challenge, if you are dynamic and enthusiastic about managing a large consortium of scientists, then do not hesitate to apply for the Scientific Project Coordinator position in my group at the Max Planck Institute for Empirical Aesthetics. You will be coordinating this <https://science.sciencemag.org/content/366/6463/293> project which was recently features in science, and involves 11 institutions across Europe, the US and China running an adversarial collaboration project aimed at understanding the neural foundations of consciousness. This is a unique opportunity to contribute to the development of an open science model for large-scale collaborations. We are looking for an internationally experienced scientist with knowledge of science management, networking, and international collaboration, and a keen interest in developing practices and procedures for open science. This is a full-time position for 2 years. More information on the job requirements and the position can be found here <https://www.aesthetics.mpg.de/karriere/jobs/scientific-project-coordinator-…>. For enquiries concerning this job opportunity please contact Dr. Lucia Melloni: lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de>. Please submit your application - preferably online in a single pdf - including a CV and a cover letter describing your background, experience and motivation as well as the names of two references, who have previously agreed to be contacted, no later than July 31, 2020 to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> Looking forward to the applications! Best wishes, Lucia Melloni

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Apply for a presentation slot at the 1st Brain-Computer Interface Un-Conference (BCI-UC)!
by Moritz Grosse-Wentrup June 27, 2020

June 27, 2020

Dear Colleagues: We're thrilled about your positive responses to the 1st BCI Un-Conference! If you wish to give a presentation at the un-conference, you can still submit an abstract via https://bciunconference.univie.ac.at/ Because there will be no conference proceedings, we also welcome abstracts that cover already published work! Voting on abstracts commences on Monday, June 29. 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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Correction: Virtual Mini-symposiums on Olfaction, SIAM-LS20
by Cheng Ly June 26, 2020

June 26, 2020

The dates were correct, days of the week were wrong, sorry about that.. see below.Live (free!) virtual talks on olfaction, part of the SIAM-LS20 program.Title: Uncovering Mechanisms of Olfactory Sensing and Olfactory-Driven Behaviors *On Tuesday June 30 from 3pm-5pm EDT: * - The Construction of Odor Representations Via Olfactory Bulb Oscillogenesis abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103893>*Thomas A. Cleland*, Ayon Borthakur, and Jack Cook, Cornell University, U.S.- Selectivity of lateral inhibition in the olfactory bulb abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103894>Daniel R. Zavitz, ; Isaac Youngstrom, University of Utah, U.S.; *Alla Borisyuk*, University of Utah, U.S.; Matt Wachowiak, University of Utah, U.S.- Dissecting the Mechanisms of Retronasal Olfaction abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103895>*Andrea K. Barreiro*, Southern Methodist University, U.S.; Cheng Ly, Virginia Commonwealth University, U.S.; Shree Gautam and Woodrow Shew, University of Arkansas, U.S.- Hyperbolic Geometry in Olfaction abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103896>*Tatyana Sharpee*, Salk Institute for Biological Studies, U.S.; Brian Smith, Arizona State University, U.S. *On Wednesday July 1 from 3pm-5pm EDT:* - Dynamics of Sensory Integration of Chemical and Mechanical Stimuli Within the Response Patterns of Moth Antennal Lobe Neurons abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103898>*Mainak Patel* and Harrison Tuckman, College of William & Mary, U.S.; Hong Lei, Arizona State University, U.S.; Adi Rangan, Courant Institute of Mathematical Sciences, New York University, U.S.- Cue-Dependent Reconfiguration of the Olfactory System for Navigation abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103899>*Andrew Sheriff* and Leslie M. Kay, University of Chicago, U.S.- The Dynamics of Bilateral Olfactory Search and Navigation abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103901>*Nour Riman*, Carnegie Mellon University, U.S.; Jonathan D. Victor, Cornell University, U.S.; Sebastian Boie, Weill Medical College of Cornell University, U.S.; G. Bard Ermentrout, University of Pittsburgh, U.S.- The performance of crab odor-capture organs abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103902>*Shilpa Khatri*, University of California, Merced, U.S.; Yanyan He, New Mexico Institute of Mining and Technology, U.S.; Laura A. Miller, University of North Carolina, Chapel Hill, U.S.; Lindsay Waldrop, Chapman University, U.S. For more info. including how to log-on, see: https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=68450 Thanks, Cheng Ly https://www.people.vcu.edu/~cly Associate Professor Department of Statistical Sciences and Operations Research Virginia Commonwealth University P.O. Box 843083 Richmond, Virginia 23284-3083

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Virtual Mini-symposiums on Olfaction, SIAM-LS20
by Cheng Ly June 26, 2020

June 26, 2020

Live (free!) virtual talks on olfaction, part of the SIAM-LS20 program.Title: Uncovering Mechanisms of Olfactory Sensing and Olfactory-Driven Behaviors *On Wednesday June 30 from 3pm-5pm EDT: * - The Construction of Odor Representations Via Olfactory Bulb Oscillogenesis abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103893>*Thomas A. Cleland*, Ayon Borthakur, and Jack Cook, Cornell University, U.S.- Selectivity of lateral inhibition in the olfactory bulb abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103894>Daniel R. Zavitz, ; Isaac Youngstrom, University of Utah, U.S.; *Alla Borisyuk*, University of Utah, U.S.; Matt Wachowiak, University of Utah, U.S.- Dissecting the Mechanisms of Retronasal Olfaction abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103895>*Andrea K. Barreiro*, Southern Methodist University, U.S.; Cheng Ly, Virginia Commonwealth University, U.S.; Shree Gautam and Woodrow Shew, University of Arkansas, U.S.- Hyperbolic Geometry in Olfaction abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103896>*Tatyana Sharpee*, Salk Institute for Biological Studies, U.S.; Brian Smith, Arizona State University, U.S. *On Thursday July 1 from 3pm-5pm EDT:* - Dynamics of Sensory Integration of Chemical and Mechanical Stimuli Within the Response Patterns of Moth Antennal Lobe Neurons abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103898>*Mainak Patel* and Harrison Tuckman, College of William & Mary, U.S.; Hong Lei, Arizona State University, U.S.; Adi Rangan, Courant Institute of Mathematical Sciences, New York University, U.S.- Cue-Dependent Reconfiguration of the Olfactory System for Navigation abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103899>*Andrew Sheriff* and Leslie M. Kay, University of Chicago, U.S.- The Dynamics of Bilateral Olfactory Search and Navigation abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103901>*Nour Riman*, Carnegie Mellon University, U.S.; Jonathan D. Victor, Cornell University, U.S.; Sebastian Boie, Weill Medical College of Cornell University, U.S.; G. Bard Ermentrout, University of Pittsburgh, U.S.- The performance of crab odor-capture organs abstract <https://meetings.siam.org/sess/dsp_talk.cfm?p=103902>*Shilpa Khatri*, University of California, Merced, U.S.; Yanyan He, New Mexico Institute of Mining and Technology, U.S.; Laura A. Miller, University of North Carolina, Chapel Hill, U.S.; Lindsay Waldrop, Chapman University, U.S. For more info. including how to log-on, see: https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=68450 Thanks, Cheng Ly https://www.people.vcu.edu/~cly Associate Professor Department of Statistical Sciences and Operations Research Virginia Commonwealth University P.O. Box 843083 Richmond, Virginia 23284-3083

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Tenure-Track Assistant Professor in Professorship in Cognitive Neuroscience of brain-microbiome interaction (University of Vienna)
by Lei Zhang June 25, 2020

June 25, 2020

(my apologies for cross-posting) Dear colleagues, The Vienna Cognitive Science Hub is looking for a Tenure-Track Professorship in Cognitive Neuroscience of brain-microbiome interaction. The application deadline is 23.09.2020. The candidate for the tenure track position should have a strong focus on the translational and integrative potential of human cognitive neuroscience, at the interface of (social) brain, cognition, their disorders, and the microbiome. Research should be building upon a strong conceptual framework and interdisciplinarity. The methodological approach should focus on the interplay between neuro-cognitive processes and neural codes, and their relation to biological regulation systems driven by the microbiome, in humans. Thematically, the focus should be on basic mechanistic research in the domains of (social) emotion and cognition, as well as their disorders, preferentially but not necessarily on topics such as social interaction, affiliation, or learning and memory. While basic in nature, the research should hold potential to advance the translational understanding of mental and cognitive disorders, such as depression and autism, or of aging-related diseases, such as Alzheimer’s disease, or Frontotemporal Dementia, respectively. The position provides excellent opportunities to strengthen cross-institutional collaborative initiatives within the domain of neuroscience and microbiome research. [Job Flyer] https://bit.ly/3i2OTU8 [Full Description] https://bit.ly/2Yxwwza Contact for questions regarding the advertisement: peter.rantasa(a)univie.ac.at Best wishes, Lei --- *Dr. Lei Zhang* Postdoc Social, Cognitive & Affective Neuroscience Unit <http://scan-psy.univie.ac.at/> Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang(a)univie.ac.at w: lei-zhang.net t: @lei_zhang_lz <https://twitter.com/lei_zhang_lz>

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ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020
by Rava A. da Silveira June 25, 2020

June 25, 2020

*CN**EURO **2020* *Theoretical and Computational Neuroscience Summer School* *17 to 23 August 2020 — Online, hosted by Tsinghua University, Beijing* http://brain.tsinghua.edu.cn/CNeuro *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. *Course Structure and Curriculum* Each day will include three hours of lectures as well as two hours of discussions among students and faculty, in small groups. Topics will touch upon the biophysics and dynamics of neurons and network, neural coding, models of learning and other cognitive function, as well as machine learning and Bayesian approaches. There will be the possibility for students to work on problem sets and initiate independent projects. *Faculty* Rava Azeredo da Silveira (ENS) Stella Christie (Tsinghua University) Damon Clark (Yale University) Carina Curto (Penn State University) Ralf Haefner (University of Rochester) Yu Hu (HKUST) Daniel Lee (Cornell University) Songting Li (Shanghai JiaoTong University) Zhaoping Li (MPI of Biologial Cybernetics) Cristina Savin (NYU) Eric Shea-Brown (University of Washington) Sara Solla (Northwestern University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) Hang Zhang (Peking University) Kechen Zhang (Johns Hopkins University) Douglas Zhou (Shanghai JiaoTong University) *Application and deadline* Please submit CV and personal statement by 15 July 2020, at http://brain.tsinghua.edu.cn/CNeuro.

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Job Opening: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU June 22, 2020

June 22, 2020

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (PR0311/18-19)* The appointees will perform high-impact research; to teach and supervise students at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. The above positions are on tenure-track with initial appointment on three-year fixed-term contracts. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. Those who have responded to the advertisement posted in December 2019 need not re-apply. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three best ones* out of their most recent publications/works. They should also request *two referees* to send in confidential letters of reference, with *PR* number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing Date: 31 July 2020 (or until the positions are filled)* URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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Beyond Hebb FENS 2020 symposium
by Cian O'Donnell June 19, 2020

June 19, 2020

If you are attending the online FENS Forum 2020 (https://forum2020.fens.org) please consider our joint experimental/computational symposium at 1pm UK time on 11th July: Beyond Hebb: multi-scale computations in synaptic plasticity * Suhita Nadkarni (IISER Pune; http://www.iiserpune.ac.in/~suhita/) “Metaplasticity at hippocampal synapses” * Thomas Oertner (University of Hamburg; http://oertner.com) “Optogenetic investigation of plasticity at individual synapses” * Kim Avrama Blackwell (Krasnow Institute for Advanced Study, George Mason University; http://krasnow1.gmu.edu/CENlab) “Spatial interactions among signaling pathways controls spatially specificity of synaptic plasticity” * Ryohei Yasuda (Max Planck Florida; https://mpfi.org/science/our-labs/yasuda-lab/) “Intracellular signaling during synaptic, circuit and behavioral plasticity” The session will highlight exciting research on spatial and temporal computations at synapses during plasticity. There are two computational speakers and two experimental speakers. Full symposium details here: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/298 Best, Cian O’Donnell (https://odonnellgroup.github.io) and Melanie Stefan (http://stefanlab.net)

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CALL: Pattern Recognition in Neuroimaging Virtual Summer School
by Jozsef Arato June 18, 2020

June 18, 2020

CALL FOR APPLICATIONS Pattern Recognition in Neuroimaging Virtual Summer School: PRNI 2020 Dates: 14-18 September 2020. Organized by the Research Group Neuroinformatics and the Cognitive Science Hub, University of Vienna, Austria We are happy to announce PRNI 2020, a one-week virtual summer school aimed at training students and early-stage researchers in theoretical and practical aspects of using machine learning and other modern data analysis methods in cognitive neuroscience. The summer school consists of talks by internationally renowned experts complemented by interactive Python tutorials. Students will receive help and feedback from teaching assistants and will have the opportunity to get to know other researchers online. The early bird registration deadline is the 30th of June, please find more details on the link below: <https://prni2020.univie.ac.at/> https://prni2020.univie.ac.at/ Main Topics: · Machine learning · Deep learning · Bayesian modeling · Connectivity and causality · fMRI · EEG/MEG · Calcium imaging Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty (A-Z) Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Máté Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) _______________________________________ Jozsef Arato, PhD Program Chair PRNI 2020 Data Science Postdoc ----------------------------- Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna <mailto:jozsef.arato@univie.ac.at> jozsef.arato(a)univie.ac.at

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Fully funded PhD in Electrophysiology: Closed-loop Transcranial Electric Stimulation
by Axel Hutt June 18, 2020

June 18, 2020

========== PhD-project in electrophysiology: Closed-loop Transcranial Electric Stimulation of Neural Networks in a Rodent Model of Psychosis Transition. ========== Patients suffering from schizophrenia develop resistance to chemical treatments. Transcranial electrical stimulation (TES), a non-invasive neurophysiological approach, has been shown to alleviate some symptoms, to improve cognitive performances, and to modulate the corticothalamic connectivity. The goal of the project is to optimize a combination of stimulation parameters that make it efficient for the TES against the psychosis transition using predictive electrical biomarkers. In healthy humans and rodents, ketamine reproduces, with a single psychotomimetic dose, the abnormal amplification of corticothalamic gamma-frequency (30-80 Hz) oscillations recorded in individuals having a high-risk mental state for a psychosis transition. Gamma oscillations are naturally involved in cognition, which is also disrupted in at-risk patients. It was demonstrated that the ketamine-induced gamma hyperactivity is prevented by the antipsychotic clozapine. The Ph.D. student will experimentally investigate the TES in the ketamine rodent model of psychosis transition. In an attempt to optimize a combination of stimulation parameters with potential preventive/curative effects, the Ph.D. student will develop and build up a closed-loop feedback system that controls the TES optimally using a Kalman filter. Requested skills: ----------------- The ideal candidate will have a strong background in neuroscience, preferably with experience in in-vivo electrophysiological techniques, mathematical and statistical skills for data analysis (EEG and cellular), and basic knowledge in numerical programming and neural modelling. Start of the position will be Fall 2020, with duration of 36 months. Funding source: INRIA (Action Exploratoire A/D Drugs). PhD Directors: -------------- Axel Hutt, Inria – MIMESIS Email: axel.hutt(a)inria.fr team web page: https://mimesis.inria.fr/ Didier Pinault, Inserm – U1114 Email: pinault(a)unistra.fr lab web page: https://www.u1114.inserm.fr/ Please send your application documents (CV and 1 recommendation letter) by email to Axel Hutt.

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Computational neuroscience postdoc opportunity at Rutgers University
by Aaron Milstein June 16, 2020

June 16, 2020

Dr. Aaron D. Milstein is looking for a postdoctoral researcher to work in his new computational neuroscience lab in the Center for Advanced Biotechnology & Medicine at Rutgers University. Research will focus on using modeling and simulation to understand how nonlinear signal integration in neuronal dendrites, non-Hebbian associative synaptic plasticity, and cellular diversity contribute to learning and memory in health and neurodevelopmental disorder. URM scientists encouraged to apply. https://jobs.rutgers.edu/postings/115366

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NEST Conference 2020 Program — Registration Deadline Monday 22 June 2020
by Hans Ekkehard Plesser June 16, 2020

June 16, 2020

Dear Colleagues! The virtual NEST Conference 2020 on 29/30 June is less than two weeks away and we are happy to invite you to an exciting program of presentations and workshops, which you will find below. The conference will be single track to facilitate interactions and include virtual coffee breakouts to mix and mingle. Please don't forget to register by MONDAY, 22 June 2020 at https://www.nest-simulator.org/conference. Please note that we now also accept PayPal as a payment method. See you at the NEST Conference 2020! Hans Ekkehard Plesser & Susanne Kunkel Monday 29 June, 2020 (all times are CEST) * 09:00 — Welcome & Introduction (Susanne Kunkel) * 09:15 — NEST user-level documentation: Why, how and what’s next? (Sara Konradi) * 09:35 — Exploring new Fenix resources using NEST (Alexander Patronis) * 09:55 — Minibreak * 10:00 — Toward a possible integration of NeuronGPU in NEST (Bruno Golosio) * 10:45 — Coffee breakout * 11:15 — Workshop: NEST multiscale co-simulation (Wouter Klijn) * 12:15 — Lunch break * 13:15 — Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience (Chiara De Luca) * 14:00 — Minibreak * 14:05 — An Integrated Model of Visual Perception and Reinforcement(Petia Koprinkova-Hristova) * 14:25 — Partial Information Decomposition Contextual Neurons in NEST(Sepehr Mahmoudian) * 14:45 — Coffee breakout * 15:15 — deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon) * 15:35 — Primate perisylvian cortex in NEST: from reflex to small world (Harry Howard) * 15:55 — Minibreak * 16:00 — Modeling robust and efficient coding in the mouse primary visual cortex using computational perturbations (Stefan Mihalas) * 16:45 — Wrap-up (Hans Ekkehard Plesser) * 17:00 — Mingle Tuesday 30 June, 2020 (all times are CEST) * 09:00 — A spiking neural network builder for systematic data-to-model workflow(Carlos E Gutierrez) * 09:20 — Insite: A Generalized Pipeline for In-transit Visualization and Analysis(Simon Oehrl) * 09:40 — Minibreak * 09:45 — NEST Component for Modeling Spiking Neuron-Astrocyte Networks(Jugoslava Aćimović) * 10:30 — Coffee breakout * 11:00 — Atlas-mapped reconstruction and simulation of the cerebellar Lingula in NEST (Alice Geminiani) * 11:20 — Cerebro-cerebellar loops for sensorimotor adaptation (Alberto Antonietti) * 11:40 — Minibreak * 11:45 — Modeling plasticity inducing stimulation protocols in recurrent neuronal networks with homeostatic structural plasticity (Swathi Anil) * 12:30 — Lunch break * 13:30 — Dendrites in NEST (Willem Wybo) * 13:50 — Just-in-time compilation for NESTML models in NEST Simulator (Charl Linssen) * 14:10 — NEST Desktop: A web-based GUI for the NEST Simulator (Sebastian Spreizer) * 14:30 — Minibreak * 14:40 — Evolving interpretable plasticity rules using NEST (Jakob Jordan) * 15:25 — Coffee breakout * 15:45 — Workshop: deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon & William Mayner) * 16:45 — Closing Remarks -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Call for submissions for the special issue on "Reaching and Grasping the Multisensory Side of Dexterous Manipulation"
by Ivan Camponogara June 16, 2020

June 16, 2020

Dear All, In collaboration with the journal "Frontiers in Psychology", we are bringing together a selected group of international experts to contribute to an open-access article collection on: "Reaching and Grasping the Multisensory Side of Dexterous Manipulation" Guest Editors: Dr. Ivan Camponogara, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Dr. Luigi F. Cuturi, Italian Institute of Technology (IIT), Genova, Italy Dr. Simone Toma, Arizona State University, Tempe, United States Dr. Marco Santello, Arizona State University, Tempe, United States The submission deadline is 31 July 2020. Visit the collection homepage for the full description of the project: https://www.frontiersin.org/research-topics/12640 Kind Regards, Ivan Camponogara Topic Editor, Cognition Section, Frontiers in Psychology On behalf of the Topic Editors. -- Ivan Camponogara (Ph.D.) Postdoctoral Associate New York University Abu Dhabi (NYUAD) Computational Research Building (A2), desk 144-B P.O. Box 129188 Abu Dhabi, United Arab Emirates Office Tel (UAE): +971 2 628 4960 Website: https://ivancamponogara.com ᐧ

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PhD position in machine learning and computational neuroscience at the University of Vienna
by Moritz Grosse-Wentrup June 15, 2020

June 15, 2020

Dear all, We have an open doctoral position at the intersection of machine learning and computational neuroscience as part of the Zebrafish Neuroscience Interdisciplinary Training Hub (https://zenith-etn.com/) The goal of the Ph.D. project is to develop multi-level causal models that relate neuronal activity patterns (as measured by Calcium imaging) in Zebrafish larvae to behavior. To get a better idea of how we approach this problem, please take a look at https://www.youtube.com/watch?v=P-U50EO77cU The position is based in the Research Group Neuroinformatics at the Faculty of Computer Science of the University of Vienna (https://ni.cs.univie.ac.at/) All work will be done in close collaboration with other European groups in the ZENITH consortium, e.g., in London and Paris. Depending on how the ongoing pandemic develops, extended stays at collaborating research labs are intended. Salary is according to the Collective Bargaining Agreement for university staff (job group B1 75%, https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch…) We welcome applications from anybody with a Master's degree and an interest in machine learning and computational neuroscience. We particularly welcome applications by women, trans- and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. We will start screening applications on July 1st, though the position will remain open until filled. We would like to fill the post as soon as possible, but a later starting date can be negotiated. Your application should include a brief cover letter, a CV, transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz -- 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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6th International Conference on Mathematical Neuroscience - Second announcement
by Tilo Schwalger June 15, 2020

June 15, 2020

We are delighted to announce the tentative programme of the 6th International Conference on Mathematical Neuroscience (ICMNS 2020) which will take place in a virtual format, via Zoom, on July 6-7, 2020, between 14:00-20:30 (GMT+2). We now have a full list of keynote and sessions speakers, available on the conference website https://www.danieleavitabile.com/icmns2020digital/ Attendance is free but requires registration via the website. We would like to remind you that the call for virtual poster submissions is open until the 21st of June. We will provide the opportunity to discuss with colleagues via a dedicated chat on Slack. Technical details about this and other aspects of the conference will be provided to the registered participants in due course. We look forward to hosting you at ICMNS2020. The Organising Committee Daniele Avitabile Tatiana Engel Tilo Schwalger Wilhelm Stannat -- Tilo Schwalger, PhD Assistant Professor Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 726, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

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Ph.D. at the University of Potsdam
by GUEVARA ERRA RAMON MARIANO June 12, 2020

June 12, 2020

Dear all, This is about a PhD position to work in Potsdam with Michael Rosenblum (http://www.stat.physik.uni-potsdam.de/~mros/) in physics and neuroscience: Ph.D. position in physics at the University of Potsdam, Germany, to be filled as soon as possible. The successful candidate shall possess a master's degree in physics with specialization in complex systems/nonlinear dynamics and be interested in interdisciplinary research. The project implies cooperation between the Institut of Physics and Astronomy of the University of Potsdam (where the student will be enrolled) and neuroscientists and clinical researchers from Charité – Universitätsmedizin Berlin. The project aims to develop advanced techniques for neurostimulation used to treat Parkinson's disease. >From the physics viewpoint, the research implies theoretical analysis and modeling of the dynamics of large neuronal populations under external stimulation. Exploiting the hypothesis that the pathological brain rhythms emerge due to excessive synchrony within a neuronal ensemble, we will develop feedback-based techniques to control these rhythms. In cooperation with experimentalists from Charité, we will try to translate these techniques into clinical practice. The project is a part of a large cooperative study funded by the German Research Foundation (DFG). The position is for four years; the salary is 65% of the full researcher position (about 43K Brutto, standard conditions for a Ph.D. position in Germany). Michael Rosenblum mgrosenblum(a)gmail.com

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ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020
by Rava A. da Silveira June 8, 2020

June 8, 2020

*CN**EURO **2020* *Theoretical and Computational Neuroscience Summer School* *17 to 21 August 2020 — Online, hosted by Tsinghua University, Beijing* http://brain.tsinghua.edu.cn/CNeuro *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, theoretical physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. *Course Structure and Curriculum* Each day will include three hours of lectures as well as two hours of discussions among students and faculty, in small groups. Topics will touch upon the biophysics and dynamics of neurons and network, neural coding, models of learning and other cognitive function, as well as machine learning and Bayesian approaches. There will be the possibility for students to work on problem sets and initiate independent projects. *Faculty* Larry Abbott (Columbia University, USA) Rava Azeredo da Silveira (Ecole Normale Supérieure, France) Damon Clark (Yale University, USA) Ralf Haefner (University of Rochester, USA) Yu Hu (HKUST, Hong Kong) Daniel Lee (Cornell University, USA) Sen Song (Tsinghua University, China) Eric Shea-Brown (University of Washington, USA) Louis Tao (Peking University, China) Xiaoqin Wang (Johns Hopkins University, USA) Quan Wen (University of Science and Technology of China) Kechen Zhang (Johns Hopkins University, USA) Douglas Zhou (Shanghai JiaoTong University, China) *Application and deadline* Please submit CV and personal statement at http://brain.tsinghua.edu.cn/CNeuro, by 30 June 2020.

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Post Doc on Data Science and Computational Neuroscience in London
by Dimitris Pinotsis June 6, 2020

June 6, 2020

PostDoc on Data Science and Computational Neuroscience in London The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London—City is looking for a Post Doc with astrong background in data science and/or computational neuroscience. The Lab focuses on developing new algorithms for the analysis ofhuman and animal brain imaging data. These are based on computational models ofneural dynamics and state of the art techniques from Data Science. Particularemphasis is put on applications in computational psychiatry and developingmodels of brain pathology. Also, the Lab develops brain theories that canexplain brain pathology, using theoretical tools from deep neural networks andBayesian brain theories. The lab also performs EEG recordings. The Post Doc shall conduct research in one or more of these areas.He/she will have the opportunity to shape the details of their project based ontheir specific interests. The successful candidate should have a PhD in data science or computationalneuroscience, computer science, engineering, physics or related discipline.Expertise in one or more modern scientific computing programming language(Python, Matlab or R) is essential. The candidate should also have familiaritywith one or both of: i) the analysis of large datasets from human behavioural data, and/or ii) theanalysis of human or animal brainimaging data. For informal inquiries, please email Dr. Dimitris Pinotsis atpinotsis(a)mit.edu

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2 postdoc positions at CHAIN
by Hideaki Shimazaki June 5, 2020

June 5, 2020

Dear colleagues, Our newly established Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) at Hokkaido University in Japan invites applications for two postdoctoral positions. Selected applicants can choose any of the PIs at the center for collaborative research. The target area includes Computational Neuroscience. The full description and details are available at https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D120051048&ln_jor=1 See also https://www.chain.hokudai.ac.jp/?lang=en The deadline for applications is July 10, 2020. We are also recruiting a faculty member at the assistant professor or lecturer level, as advertised before. For this information, see https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D120050453&ln_jor=1 All the best, Hideaki --- Hideaki Shimazaki, Ph.D http://goo.gl/viSNG

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Postdoctoral position in computational neuroscience at Washington University in St. Louis
by Ching, ShiNung June 5, 2020

June 5, 2020

Postdoctoral position in computational neuroscience at Washington University in St. Louis A postdoctoral position is available at Washington University in St. Louis, USA, in the area of normative computational modeling of neural circuits. The position supports an ongoing BRAIN initiative funded project studying the mechanisms of working memory. The overall goal of the project is to synthesize explanatory and predictive computational models of how memory resources are fluidly allocated in the presence of unpredictable, ongoing memory demands. Modeling efforts are paired with ongoing experiments on spatial and object working memory, enabling refinement and validation of developed theory. In addition, the candidate will have the opportunity to participate in several other projects in the area of circuit modeling, neural coding theory and neural engineering. The candidate should have a Ph.D. in engineering, math, computer science, neuroscience or a related field. Relevant areas of prior experience include: dynamical systems, optimization, machine learning, information, control and network theories. Strong computational skills are essential. The position is open and available for a flexible start. Interested applicants can send a CV and a short statement of interests directly to shinung(a)wustl.edu<mailto:shinung@wustl.edu> ShiNung Ching Associate Professor Electrical and Systems Engineering, Biomedical Engineering, Div. of Biology and Biomedical Science Washington University in St. Louis

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[announcement] Dynamics Days Digital 2020
by desroche June 5, 2020

June 5, 2020

Dear colleagues, It is our pleasure to announce Dynamics Days Digital 2020 (DDD2020), an online event that will take place on *August 24-26, 2020*. DDD2020 is part of Dynamics Days Europe, a series of major international conferences on dynamical systems and applications, which brings together researchers from a wide range of backgrounds including physics, biology, engineering and mathematics. For more information on DDD2020, including registration and abstract submission, please visit https://www.danieleavitabile.com/ddd2020/ <https://www.danieleavitabile.com/ddd2020/> DDD2020 will include plenary talks, invited minisymposia, a limited number of contributed talks, and posters. Confirmed plenary speakers of Dynamics Days Digital include * Albert-László Barabási (Northeastern University, USA) * Nancy Kopell (Boston University, USA) * Corinna Ulcigrai (University of Zürich, Switzerland) In addition to the invited minisymposia, we invite proposals for oral and (virtual) poster contributions submitted through the conference homepage. The abstract submission deadline is *June 28, 2020*. We are looking forward to seeing you online at Dynamics Days Digital 2020! Best wishes from the organising committee, Daniele Avitabile (chair) Peter Ashwin Christian Bick Mathieu Desroches PS: The next in-person Dynamics Days Europe will take place in Nice (France) in summer 2021, please visit https://dynamicsdays2020.univ-cotedazur.fr <https://dynamicsdays2020.univ-cotedazur.fr/> for details.

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[Final CfP]: Brain Informatics 2020 - Virtual Conference - Deadline 15 June 2020.
by Mufti Mahmud June 5, 2020

June 5, 2020

[Apologies if you receive this more than once] *----------------------------* *CALL FOR PAPERS * *----------------------------* The 13th International Conference on Brain Informatics (BI2020) September 19, 2020, Virtual Conference Homepage: http://www.bi2020.org/ ------------------------------------------------------------------------ Brain Informatics in the Virtual World ------------------------------------------------------------------------ Papers Submission Deadline: June 15, 2020. Abstracts Submission Deadline: July 1, 2020. Registration Fee: GBP £ 100.00 (One Hundred Only) * On-line Submission of Papers/Abstracts: https://wi-lab.com/cyberchair/2020/bi20/scripts/submit.php?subarea=B The International Conference on Brain Informatics series (BI) has established itself as the world's premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The 13th International Conference on Brain Informatics (BI2020) will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. *** Topics and Areas for Parallel Presentations *** The BI2020 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *----------------------------------------------- * * Paper Submission and Publications * *----------------------------------------------- * Paper Submission: Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines ( available here: https://www.springer.com/jp/computer-science/lncs/conference-proceedings-gu… ) for the initial submissions. All papers must be submitted electronically in PDF and DOC/RTF format in the Springer LNCS/LNAI style and should be limited to a maximum of 10 pages including figures and references. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal ( https://braininformatics.springeropen.com/) *----------------------------------------------------* * Abstract Submission and Publications * *----------------------------------------------------* Research abstracts are encouraged and will be accepted for presentations in an oral presentation format. Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Authors: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. * On-line Submission of Abstracts: https://wi-lab.com/cyberchair/2020/bi20/scripts/submit.php?subarea=B *---------------------------- * * IMPORTANT DATES * *---------------------------- * 15 June 2020: Papers submission deadline 1 July 2020: Notification of paper acceptance 1 July 2020: Submission of abstracts 15 July 2020: Notification of abstract acceptance 1 August 2020: Early-bird registration 1 August 2020: Paper registration deadline 19 September 2020: Main conference Conference Venue ================ Full Virtual Conference ORGANIZERS =========== General Chairs Mufti Mahmud (Nottingham Trent University, UK) Stefano Vassanelli (University of Padova, Italy) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Ning Zhong (Maebashi Institute of Technology, Japan) Advisors Maurizio Corbetta (Padova Neuroscience Center, Italy) Amir Hussain (Edinburgh Napier University, UK) Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) Qionghai Dai (Tsinghua University, China) Committee Members Alessandra Bertoldo (University of Padova, Italy) Michela Chiappalone (Italian Institute of Technology, Italy) Michele Giugliano (International School for Advanced Studies, Italy) Xiaohui Tao (University of Southern Queensland, Australia) Marzia Hoque Tania (Anglia Ruskin University, UK) Peipeng Liang (Capital Normal University, China) Alberto Testolin (University of Padova, Italy) Yang Yang (Maebashi Institute of Technology, Japan) Marco Dal Maschio (University of Padova, Italy) Samir Suweis (University of Padova, Italy) Marco Zorzi (University of Padova, Italy) Saiful Azad (University of Malaysia Pahang, Malaysia) Claudia Cecchetto (Okinawa Institute of Science & Tech., Japan) Zhiqi Mao (Chinese PLA General Hospital, China) Shouyi Wang (University of Texas at Arlington, USA) Vicky Yamamoto (USC Keck School of Medicine, USA) Kind regards, Mufti Mahmud, PhD | Senior Member - IEEE & ACM, Member - BCS, FHEA Senior Lecturer of Computing & Technology | Nottingham Trent University Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Editor, Special Issue on Data-Driven AI Approaches to Combat COVID-19 Editor, Special Issue on Machine Learning Techniques for Neuroscience Big Data Editor, Special Issue on Advances in Deep Learning for Clinical and Healthcare Applications General Chair, Brain Informatics 2020, Padova, Italy Local Organising Chair, IEEE WCCI2020, Glasgow, UK Programme Chair, IEEE CICARE2020, Canberra, Australia Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS – Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud(a)ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud

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