- Comp-neuro - lists.cnsorg.org

Ph.D. at the University of Potsdam

by GUEVARA ERRA RAMON MARIANO

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

June 12, 2020

ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020

by Rava A. da Silveira

*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.

June 8, 2020

Goethe interactive Covid-19 analyzer - free web tool

by Claudius Gros

Hi Everybody Many of us are involved in Covid-19 studies. This is to let you know that we developed a free online analysis tool which allows to compare outbreaks in different countries with a few clicks: https://itp.uni-frankfurt.de/covid-19/ The "Goethe Interactive COVID-19 Analyzer" is free to use, both for private and academic purposes. Functionalities -- arbitrary data rescaling -- shift of onset date -- timeline or daily vs total counts -- export to png image Feel free to share. Claudius ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

June 8, 2020

postdocs with Peter Dayan in Tübingen

by Peter Dayan

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

June 7, 2020

Post Doc on Data Science and Computational Neuroscience in London

by Dimitris Pinotsis

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

June 6, 2020

2 postdoc positions at CHAIN

by Hideaki Shimazaki

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

June 5, 2020

Postdoctoral position in computational neuroscience at Washington University in St. Louis

by Ching, ShiNung

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

June 5, 2020

[announcement] Dynamics Days Digital 2020

by desroche

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.

June 5, 2020

[Final CfP]: Brain Informatics 2020 - Virtual Conference - Deadline 15 June 2020.

by Mufti Mahmud

[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

June 5, 2020

CFP Deadline Extension – 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile

by Nicolás Navarro-Guerrero

We hope that this message finds you healthy and that you and your families are safe and well during these difficult times! Since many countries are still under heavy pressure from COVID-19 together with the fact the Southern Hemisphere is just entering winter, we have decided to reschedule the conference to the 28th to the 30th of October. The conference will be hybrid, hosting both onsite and online participants. Online participants will have a reduced fee. We have also extended the submission deadline, and already submitted papers can be modified. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 28th-30th October 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Paper Submission Deadline: 21th June 2020 (Final Extension) Paper Author Notification: 13th July 2020 Final Paper Version Due: 16th August 2020 Conference: 28th-30th October 2020 Also, we are receiving extended abstracts, and we are hosting a Journal Track, Follow up Special Issue, Workshops and Tutorials. For more information on these and all the activities of the conference, please visit our website: https://cdstc.gitlab.io/icdl-2020/ ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee,, Nicolás -- Nicolás Navarro-Guerrero https://nicolas-navarro-guerrero.github.io/

June 3, 2020