- Comp-neuro - lists.cnsorg.org

PhD and postdoc positions in distributed lifelong learning / RL
by Andrea Soltoggio April 7, 2022

April 7, 2022

Dear All, I would like to advertise a Ph.D. and a postdoc position in my research group at Loughborough University to work on distributed lifelong learning / reinforcement learning, with a particular focus on neuro-modulatory approaches. If interested, please email me. Best regards, Andrea Soltoggio Further additional links to our latest news and papers: https://www.azorobotics.com/News.aspx?newsID=12518 https://www.nature.com/articles/s42256-022-00452-0.epdf https://openreview.net/forum?id=BJge3TNKwH https://arxiv.org/abs/1703.10371 Details. This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA projects Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL). The researchers will join a growing research group of Ph.D. students and postdocs working in the same area, and have access to the latest computational devices such as Nvidia A100 cards. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported. Loughborough University Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career. -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp April 7, 2022

April 7, 2022

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. We design computational neural networks inspired by the human brain and examine what enables the networks to acquire human-like intelligence. Please send the required documents if you are interested in being considered. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

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CAMP summer course on computational neuroscience: announcement.
by U.S.Bhalla April 6, 2022

April 6, 2022

Dear Colleagues, We would like to announce CAMP@Bangalore 2022 from 23 July 2022 to 7 August 2022, in Bangalore, India. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — Neuromodulation and Cell Diversity. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. The NCBS Campus has pleasant grounds, sports facilities, and the weather in late July is mild with moderate rain. There is no registration fee. Students are advised to obtain independent travel grants. Please visit the course website https://camp.ncbs.res.in/ for more details about this year's course and past courses. Application deadline: 30 April 2022 Referee letters must reach by 2 May 2022 Speakers include: Arvind Kumar KTH Royal Institute of Technology, Sweden Gilad Silberberg Karolinska Institutet, Sweden K.T. Blackwell George Mason University, USA Peter Dayan Max Planck Institute for Biological Cybernetics, Germany Raffaella Tonini Istituto Italiano di Tecnologia, Italy Rishikesh Narayanan Indian Institute of Science, Bangalore Sho Yagishita University of Tokyo, Japan Srikanth Ramaswamy Newcastle University, UK Upinder Bhalla National Centre for Biological Sciences, Bangalore Vatsala Thirumalai National Centre for Biological Sciences, Bangalore Thank you, Course Organizers CAMP 2022 Arvind Kumar Rishikesh Narayanan Upinder S. Bhalla

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Available Ph.D. Position in Developmental Robotics / Human-Robot Interaction
by Amir Aly April 5, 2022

April 5, 2022

Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded Ph.D. studentship about (*Computational Modelling of Language Compositionality through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on 04 May 2022* *(funding conditions for the international (non-home fees / non-UK-based) students are available in the link below)*. This exciting project tries to investigate language compositionality (*from the word to sentence levels*) through human-robot interaction with a view to making a robot able to understand human instructions. This requires *inferring the* *latent syntactic structure* of language through perceptual information (e.g., visual and/or haptic perception) and defining its mechanism of compositional development. This project will set the basis for learning the meaning of words and their syntactic categories (e.g., nouns, verbs) through perception in the surroundings, and learning language grammar - through an unsupervised approach - so as to understand phrases and sentences (*more details and research questions are available in the link below*). More details *about the topic*, *how to apply*, *eligibility criteria for home students / international students*, *and* *funding conditions* are available at: https://www.findaphd.com/phds/project/computational-modelling-of-language-c… <https://www.findaphd.com/phds/project/computational-modelling-of-language-c…> Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth on FindAPhD.com <https://www.findaphd.com/phds/project/computational-modelling-of-language-c…> PhD Project - Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth, listed on FindAPhD.com www.findaphd.com If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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Four lectureships available at University of Sussex
by Thomas Nowotny April 4, 2022

April 4, 2022

Dear comp-neuro, four permanent positions at the level of lecturer (assistant professor) are available at University of Sussex due to our rapid expansion in Computer Science and AI. The lectureships are for any topics in Computer Science/Informatics, including computational neuroscience and bio-inspired AI. Please get in touch if you want to know more. The full advert is here: https://www.sussex.ac.uk/about/jobs/lecturer-com-sci-8058 Come and work with us in the beautiful city of Brighton on the South coast of England. Best regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> [../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny] I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

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The interplay of complex and coherent dynamics in brain function; Cergy (France) May 18-22 2022
by bgutkin April 4, 2022

April 4, 2022

The HYBRID workshop The interplay of complex and coherent dynamics in brain function https://complexityparisseine.wordpress.com/ <https://complexityparisseine.wordpress.com/> will take place at Cy Advanced Studies , Neuville sur Oise (France) from 18-20 May 2022. This international workshop is the final act of the ANR Project Exact Reduction of Multiscale Neural Dynamics ERMUNDY involving CY Cergy Paris Université, École Normale Supérieure in Paris and Institut de Neurosciences des Systèmes in Marseille. Our aim is to bring in Neuville-sur-Oise scientists working in different disciplines ranging from applied mathematics to neuroscience, from physics to biology in order to address a topic of general interest as the emergence of complex and coherent dynamics in the brain. If you are interested to follow the workshop via ZOOM you should register here: https://univ-amu-fr.zoom.us/meeting/register/tZEuceypqjItE9ASdbQAOwoovh7EJc… <https://univ-amu-fr.zoom.us/meeting/register/tZEuceypqjItE9ASdbQAOwoovh7EJc…> In case you would like to come (even for 1 single day) and eventually present a poster, you should register here : https://complexityparisseine.wordpress.com/contact/ <https://complexityparisseine.wordpress.com/contact/> due to COVID restrictions only 20 places are left and they will be reserved in priority for those presenting a poster. The organizing committee A. Torcini, B. Gutkin, D. Battaglia, M. di Volo

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Coordinator position 'Diversity Internship Programme', Tuebingen, Germany
by Susan Fischer April 4, 2022

April 4, 2022

---- Apologies for cross-posting ---- In an exciting venture, the Max Planck Institute for Biological Cybernetics has created a new internship programme, targeting students from currently underrepresented communities. The Institute investigates information processing in the brain for which it uses experimental, theoretical and computational methods to study perception, memory, decision-making, motor performance and more, and to develop appropriate recording and imaging techniques. We now invite applications for a part-time position for a Coordinator of the Computation and Cognition Tübingen Summer Internship (CaCTüS internship) (m/f/d;). This position is limited until 31 October 2023 in the first instance. The internship aims to improve diversity, equity and inclusion in animal, human and machine intelligence research by offering paid research stays to students from currently underrepresented groups to work on projects suggested and supervised by early career researchers. By providing hands-on research experience, access to first-class research facilities and scientific networks at the start of the students’ careers, the initiative counteracts systemic disadvantages and empowers students to continue their academic career and to develop their full potential. Key Duties & Responsibilities: In your role as CaCTüS Coordinator you will be responsible for the implementation and the overall management of the internship. You will contribute to the planning, organisation, implementation and maintenance of the programme’s activities, systems and processes and serve as the point of contact for potential candidates/enrolled interns. You will also identify and assess further potential external funding opportunities and contribute to the strategic development and promotion of the initiative. Full job description and detailed information about the position can be found on our website at: https://jobs.tue.mpg.de/jobs/168 ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & Department for Sensory and Sensorimotor Systems, Prof Zhaoping Li Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

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Postdoctoral Scholar in Computational/Theoretical Neuroscience (Western University)
by Lyle Muller April 4, 2022

April 4, 2022

The lab of Lyle Muller (http://mullerlab.ca<http://mullerlab.ca/>) at the Department of Mathematics and the Western Institute for Neuroscience (Western University, London, Ontario) has an open postdoctoral position in computational and theoretical neuroscience. This scientist will work with an international NeuroNex consortium (http://nxwm.io) studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Research in this project utilizes a combination of large-scale numerical simulations, supervised/unsupervised learning, and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Both our group and the University are deeply committed to fostering diversity in the sciences, and applications from underrepresented groups are strongly encouraged. Interested candidates can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV and statement of interest. Review of applications will begin on 18 April 2022. -- Lyle Muller http://mullerlab.ca

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Deadline extension - 31st International Conference on Artificial Neural Networks ICANN 2022, Sept 6-9, Bristol, UK
by Paolo Masulli ENNS April 3, 2022

April 3, 2022

31st International Conference on Artificial Neural Networks ICANN 2022 https://e-nns.org/icann2022 *Submission deadline extended to: 13 April 2022* Bristol, United Kingdom - *Hybrid event* 6 - 9 September 2022 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2022 the Department of Computer Science and Creative Technologies of the University of the West of England, in Bristol, United Kingdom will organise ICANN 2022. This will be held at Frenchay Campus from 6 to 9 September 2022. The conference is currently planned as a *hybrid event* with some presence and some online participation if possible. We will continuously monitor the situation in the next few months according to the overall health developments. * **CONFERENCE TOPICS* ICANN 2022 is a conference featuring tracks in Brain-inspired Computing and Machine Learning in Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: *Machine Learning*: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information-theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI. *Brain-inspired Computing*: Cognitive models, Computational Neuroscience, Self-organisation, Bioinspired Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action. *Neural Applications for*: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech and Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2022 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *Call for Special Sessions and Workshops* ICANN 2022 organizers cordially invite internationally recognised experts to organise Special sessions and Workshops within the general scope of the conference. Proposals should be sent to ICANN2022(a)uwe.ac.uk *CALL FOR PAPERS* Authors willing to present original contributions in either the oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots, the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2022/ *IMPORTANT DATES* Deadline for special session and workshop proposals: 28 Feb 2022 Opening of contribution submissions: 21 Feb 2022 Deadline for full paper and extended abstract submission: 13 Apr 2022 Notification of acceptance: 20 Jun 2022 Camera-ready paper upload: 30 June 2022 Deadline for author registration and early registration at early rate: 30 June 2022 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* *General Chairs* Elias Pimenidis – UWE Bristol, UK Angelo Cangelosi – University of Manchester, UK *Organising Committee Chairs* Tim Brailsford – UWE Bristol, UK Larry Bull – UWE Bristol, UK *Honorary Chairs* Stefan Wermter – University of Hamburg, Germany (ENNS President) Igor Farkaš – FMPI, Comenius University in Bratislava, Slovakia *Programme Committee Chairs* Plamen Angelov – Lancaster University, UK Mehmet Aydin – UWE Bristol, UK Chrisina Jayne – Teesside University, UK Elias Pimenidis – UWE Bristol, UK *Communication Chairs* Paolo Masulli – ENNS, Technical University of Denmark Kristína Malinovská – FMPI, Comenius University in Bratislava, Slovakia Antonios Papaleonidas – Democritus University of Thrace, Greece

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FACM-22 Conference 'New Perspectives in Math Biology' May 20-21 (2022) NJIT, Newark NJ
by Victor Matveev April 1, 2022

April 1, 2022

On May 20 and 21, 2022, the 17th Annual Conference on Frontiers in Applied and Computational Mathematics (FACM '22) will be held at the New Jersey Institute of Technology (NJIT) in Newark, New Jersey. The theme of FACM '22 Conference is "New Perspectives in Mathematical Biology." https://sites.google.com/njit.edu/facm2022/home Confirmed plenary speakers are: Carina Curto (Pennsylvania State University) Anita Layton (University of Waterloo) Grzegorz Rempala (Ohio State University) Corina Tarnita (Princeton University) FACM '22 will feature 4 minisymposia that cover a wide range of topics in math biology: (1) *learning paradigms in real and artificial neuronal networks,* (2) collective behavior in biological populations, (3) stochastic modeling at different scales, and (4) biofluids: machine learning and data-driven approaches. A poster session will run concurrently over the 2 days of the meeting. Pending NSF support, funds to cover all or part of the travel costs and local accommodation costs may be available for students, postdocs, and junior faculty. Applications by members of underrepresented groups, minorities and women are particularly encouraged. A combined poster abstract submission, travel award application and registration form (due April 15, 2022) is available at the conference homepage: https://sites.google.com/njit.edu/facm2022/home There is no registration fee for this conference. NJIT campus is located in close proximity to two train stations, the Newark Liberty International airport, and is accessible by public transportation from New York City: https://www.njit.edu/about/maps-directions FACM'22 Organizing Committee: Amitabha Bose (co-Chair), Casey Diekman, Simon Garnier, Enkeleida Lushi, James MacLaurin, Victor Matveev (co-Chair), Peter Thomas, Yuan-Nan Young -- ----------------------------------------------- Victor Matveev, Professor Applied Math, Biophysics, Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 matveev(a)njit.edu

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INCF/OCNS Software WG session on NetPyNE (4th April: 1600 UTC)
by Ankur Sinha April 1, 2022

April 1, 2022

Dear all, Apologies for the cross post. Please join us for the next INCF/OCNS Software working group "dev session" where Joe Graham will speak to us about NetPyNE: https://ocns.github.io/SoftwareWG/2022/04/04/dev-session-joe-graham-netpyne… - Date: April 4, 2022, 1600 UTC (Click here[1] to see your local time). - Location (Zoom): (login to Zoom required): https://ucl.zoom.us/j/99620419452?pwd=SkZlQnJmWWZVczNURkp2azVOZkhzUT09 Abstract: NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator. The NetPyNE GUI is available from a variety of resources: Neuroscience Gateway Portal (NSG); Open Source Brain (OSB) ; Human Brain Project (HBP) EBRAINS; and the NIH SPARC initiative. The NetPyNE source code is available on GitHub. More information is available on the NetPyNE website. During this dev session, I will give an overview of NetPyNE, go through an interactive demo using the NetPyNE GUI, describe my personal development workflow using virtual environments, and then go through two big dev projects I worked on: (1) documenting code inline and online using docstrings, Sphinx, Napoleon, and autodocsumm, and (2) separating and standardizing analysis and plotting. --------- The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG on our GitHub repository[3]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Jo… [2] https://github.com/OCNS/SoftwareWG/issues -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Postdoctoral position in computational neuroscience
by Maxim Bazhenov March 31, 2022

March 31, 2022

Applications are invited for NIH funded post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study role of sleep in memory and learning using sophisticated computer models of brain dynamics. This project involves close collaboration with experimental laboratories. The ultimate goal of the work is to understand how sleep rhythms contribute to consolidation of memory for recent learning and how sensory or electrical stimulation during sleep can enhance memory consolidation (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019). Our lab research interests also include other topics in neuroscience (e.g., olfaction, epilepsy) and artificial intelligence (e.g., lifelong learning, generalization, adversarial robustness) and lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be used to understand network dynamics that are involved in the processes of memory consolidation during sleep, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Programming experience with C/C++ is required. Knowledge of PYTHON, PyTorch or MATLAB is a plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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Google Summer of Code: model and experimental data sharing on Open Source Brain
by Padraig Gleeson March 31, 2022

March 31, 2022

--Apologies for cross-posting-- Google Summer of Code <https://summerofcode.withgoogle.com/> is a global, online program focused on bringing new contributors into open source software development. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF <http://incf.org/> has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative <http://www.opensourcebrain.org> is encouraging students to apply to be part of this. The successful candidate(s) for our 2 proposals will take published computational models and experimental datasets and convert them into open, standardised formats (e.g. NeuroML and NWB) and share them on the OSB platform as a resource for the wider community. The two projects are: *Open source, cross simulator, large scale cortical models in NeuroML and PyNN* <https://neurostars.org/t/gsoc-2022-project-idea-9-1-open-source-cross-simul…> These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. *Conversion of public neurophysiology datasets to Neurodata Without Borders (NWB) format* <https://neurostars.org/t/gsoc-2022-project-idea-9-2-conversion-of-public-ne…> This project will involve converting a number of publicly available datasets to NWB format, adding structured metadata to ensure maximal readability and reusability of the data. The converted datasets will be made available through the new NWB Explorer on the Open Source Brain repository (http://nwbexplorer.opensourcebrain.org) which allows visualisation of the data as well as interactive analysis through an inbuilt Jupyter notebook. *This opportunity is particularly relevant for Masters & PhD students currently working in model development/data analysis in neuroscience. Many students **are already reusing/converting/updating existing models and data as part of their work and this is a great opportunity to get paid extra to do this! *** Closing date for student applications: *19 April 2022* Period of working on projects: *13 June - ***12 *September 2022* Please get in contact if you have any questions. -- ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Postdoc in Computer Vision / Machine Learning / Applied Mathematics
by Tony Lindeberg March 31, 2022

March 31, 2022

Postdoc in Computer Vision / Machine Learning / Applied Mathematics Job description The Division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm, Sweden is seeking a Postdoc in Computer Vision / Machine Learning / Applied Mathematics to handle scale-dependent image information in deep networks. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together. The selected candidate will work closely together with the project leader Tony Lindeberg. Qualifications requirements * A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline * We are seeking a candidate with a PhD in Computer Vision, Machine Learning, Applied Mathematics or a related discipline dealing with automated analysis of image information. * Previous experience with experimental evaluations using deep learning architectures applied to image data is necessary, preferably PyTorch. * A theoretical background in continuous mathematics for modelling convolutions and the influence of image transformations on image data is also necessary. Preferred qualifications As a person you have excellent scientific and collaborative skills, in combination with independence, with very good ability to get into new scientific theories and conduct implementations and experimental evaluations in close collaboration with the research environment you are working in. The preferred candidates should have demonstrated expertise (through publications) in any one of the following: * Deep networks that handle image information for computer vision tasks, including experimental evaluation using modern architectures for deep networks. * Continuous models for deep networks applied to image information. * Theoretical modelling of scaling transformations or other image transformations applied to automated processing of image information. For further information and information about to how to apply, see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:490734/ Application deadline: May 2, 2022 The position is offered for a period of two years. [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology Computational Brain Science Lab Division of Computational Science and Technology, CST SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 https://www.kth.se/profile/tony/

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Cerebellar computation postdoc
by Nicolas Brunel March 31, 2022

March 31, 2022

A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position. For more information on the labs: Regehr Lab: https://urldefense.com/v3/__https://regehrmedharvard.wordpress.com/__;!!OTo… Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to: Kim McDaniels Kimberly_Mcdaniels(a)hms.harvard.edu<mailto:Kimberly_Mcdaniels@hms.harvard.edu> Please have the subject of the email: “Computational Postdoc Applicant:” Your Name

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IMRF abstract submission deadline extended to April 07
by Marc Ernst March 30, 2022

March 30, 2022

Dear friends of IMRF, upon multiple request, we decided to extend the abstract submission deadline for the International Multisensory Research Forum 2022 (IMRF2022) by some days to April 07th. You can submit new abstracts for talks and posters until that date (here <https://www.conftool.net/imrf2020>). In case you submitted an abstract already previously for 2020 or 2021, please make sure to verify that your abstract and information is still up-to-date. To do so, you can log into the system (here <https://www.conftool.net/imrf2020>) and update your abstract information at any time until the deadline. In case you will not be able to make it to IMRF this year, which I would deeply regret, but you submitted an abstract earlier in the past two years, please make sure to withdraw your abstract (here <https://www.conftool.net/imrf2020>). In case you submitted an already accepted symposium in 2020, these symposia will keep their accepted status. But please as organiser of the symposium verify that all presenters of the symposia are still on board (here <https://www.conftool.net/imrf2020>). In cases where this is necessary please update the symposium information - abstracts of the symposia can be updated by the organiser of the symposium. In case you have a drop out of one or two speakers it is best to exchange them by new speakers. As for registration, I would recommend to register early (here <https://www.conftool.net/imrf2020>). At the moment it seems like the spatial restrictions may be loosened. But with this virus you never know. Also, please start looking for a hotel room early. There is the Danube Festival the same week of IMRF - a nice festival along the Danube river. We reserved some rooms but only until a month prior to the meeting. When booking, please refer to “IMRF” to get our conference rates. Looking forward to finally seeing you in Ulm in summer 2022. Best, Marc --------------------------------------------------------- Prof. Dr. Marc Ernst Applied Cognitive Psychology Faculty for Computer Science, Engineering & Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room nr.: 43.3.103 mail: marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de> phone int.: +49-(0)731-50 320 50 phone ext.: +49-(0)731-50 356 27 sekr: +49-(0)731-50 320 51 mobile: +49-(0)152-22 543 156

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Workshop: The interplay of complex and coherent dynamics in brain function. May 18-20, Cergy
by boris gutkin March 29, 2022

March 29, 2022

Interplay of complex and coherent dynamics in brain function will take place at CY Advanced Studies at Neuville-Sur-Oise from 18th to 20th May 2022 thanks to the support of CY Cognition, CYAS, Labex MME-DII. More information can be found here: https://complexityparisseine.wordpress.com/ The workshop will take place in a hybrid form, with a group of participants (at most 50) in presence at CYAS and the rest connected via Zoom. There will be the possibility to present posters of your research activity up to a maximum of 20 posters, There are no costs, but if you are interested you should register in both cases either in presence or in remote (Zoom) by April 30th. Organisers: Alessandro Torcini (CYU), Demian Battaglia (INS marseille), Boris Gutkin (ENS, Paris) and Matteo di Volo (University of Parma, Italy)

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additional 2 postdoc positions (4 in total) at Imperial College
by Schultz, Simon R March 29, 2022

March 29, 2022

Dear all, In addition to the previously advertised two experimental positions, we have two theoretical postdoc positions available: Four post-doc positions in the Statistical Physics of Cognition Two theoretical and two experimental postdoctoral positions each for a duration of up to 36 months starting as soon as possible after 1st April 2022. All four post-docs will form a collaborative team, will be affiliated with the Departments of Mathematics and Bioengineering at Imperial College London, and will work together with a core team consisting of Simon R Schultz, Henrik Jeldtoft Jensen, Fernando Rosas, Mauricio Barahona, Lucilla de Arcangelis, Ann Go and Amanda Foust. As for the two theoreticians we are looking for people familiar with statistical mechanics of complex systems, including SOC, network theory and information theory. The theory positions can be found here: https://www.imperial.ac.uk/jobs/description/NAT01116/research-associate-mat… The details for the experimental positions are here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… To discuss the theoretical positions, please contact Henrik Jensen (h.jensen(a)imperial.ac.uk<mailto:h.jensen@imperial.ac.uk>) To discuss the experimental positions, please contact Simon Schultz (s.schultz(a)imperial.ac.uk<mailto:s.schultz@imperial.ac.uk>) Best wishes Simon -- Prof Simon Schultz Dept of Bioengineering, Imperial College London http://www.schultzlab.org Director, Imperial College Centre for Neurotechnology http://www.imperial.ac.uk/neurotechnology For Centre admin, email: Dr Kate Hobson, k.hobson(a)imperial.ac.uk

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Atsushi IRIKI speaking on March 31 in Developing Minds global online lecture series
by Jochen Triesch March 28, 2022

March 28, 2022

Dear colleagues, On March 31, the Developing Minds global online lecture series will feature Atsushi IRIKI, RIKEN Japan: "Self-in-the-world map evolved in the primate brain as a basis of civilized Homo sapiens“ The live event will take place via zoom at: 22:00 JST (Japan Standard Time) 15:00 CET (Central European Time) 13:00 UTC (Universal Coordinated Time) 9:00 EST (Eastern Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract After a specific point in history, hominin evolution accelerated to a level that could not be accounted for by natural selection alone, but an alternative mechanism has been proposed based on mutual interaction among neural, cognitive, and ecological niches in a positive feedback loop (triadic niche construction; TNC). Nevertheless, the trigger events for the cognitive revolution of Homo sapiens as well as the reasons for this event being limited to a single species remain unknown. Using a multidisciplinary approach involving psychology, neurobiology, and phenomenology, I will propose a shift in the mechanisms underlying TNC, from TNC- 1 in primates/hominids to TNC-2 in Homo sapiens, to answer these questions. As the primates and hominin brain expanded during TNC-1, latent cognitive capabilities were incubated within its neural framework to be expressed with a simple rewiring among brain areas in TNC-2, a quick and inexpensive process but one that requires a unique set of preconditions to commence. This process was bootstrapped by the advanced function of “projection,” which enabled humans to recognize the “self” in particular time and space in the world, allowing the manipulation of this world (in both physical and symbolic dimensions) again in a positive feedback loop. Based on these, a new concept of a somatocentric holistic self will be proposed, represented as a more comprehensive body-in-the-world map in the primate brain, taking into account evolutionary aspects that characterize the human cognition and its implication in the emergence of self-consciousness. Paper: Iriki A, Suzuki H, Tanaka S, Bretas R, Yamazaki Y. (2021). The sapient paradox and the great journey: Insights from cognitive psychology, neurobiology and phenomenology. Psychologia, https://doi.org/10.2117/psysoc.2021-B017. Bio Atsushi IRIKI received his Ph.D. in Neuroscience from Tokyo Medical and Dental University in 1986. He held research associate positions at the Tokyo Medical and Dental University and then at The Rockefeller University (USA). He joined the faculty of Toho University Medical School as an assistant professor and then as an associate professor in Physiology (1991-1999). In 1999, he returned to Tokyo Medical and Dental University as a full professor and chairman of Cognitive Neurobiology. In 2004, Atsushi IRIKI was appointed a head of Laboratory for Symbolic Cognitive Development at RIKEN Institute (first at its Brain Science Institute and then 2018 onward at Center for Biosystems Dynamics Research). He is currently a visiting professor of University College London (UK) and Nanyang Technological University (NTU, Singapore), an adjunct professor of Keio University, a research professor of Kyoto University, a senior fellow of the Canadian Institute for Advanced Research (Canada), founding co-director of RIKEN-NTU Research Centres (Singapore & Japan). Web: https://www.riken.jp/en/research/labs/bdr/symbol_cogn_dev/index.html Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada
by Joern Davidsen March 26, 2022

March 26, 2022

Dear colleagues, We are recruiting a postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. Please forward to anyone who you think might be interested. For more info (review of applications will begin on May 1st), please see below or https://www.ucalgary.ca/complexity/positions or reach out to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Best wishes, Joern. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen> ************************************************************************************ Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada We are recruiting a talented postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. Specifically, we are looking for a postdoctoral candidates interested in what mathematical principles predict (1) how the connectivity structure of neural networks – their connectomes – combine with the dynamics of nodes and edges to control the dynamics and statistics of the network, (2) how the brain learns these connectomes to produce generative models predictive of their environment, and (3) how such models are affected by psychedelic drugs. The overarching aim of the project is to understand how mental models become corrupted in depression/anxiety, and how psychedelics appear to reverse the corruption. A variety of world-class data sets on the structure and function of the brain are available to guide theoretical advances in the understanding of underlying brain computation, particularly in learning, perception, and decision making. The position is open immediately with a primary location in Calgary. It is partially funded by the Pacific Institute for Mathematical Sciences<https://www.pims.math.ca/> and is aimed to strengthen the link between the computational neuroscience community at the University of Calgary (Complexity Science Group<https://www.ucalgary.ca/complexity/>, Hotchkiss Brain Institute<https://hbi.ucalgary.ca/>) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience<https://www.uleth.ca/artsci/neuroscience/about>) with the other network members including the Computational Neuroscience Center<https://cneuro-web01.s.uw.edu/> at the University of Washington, and centers in Montreal and Paris. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin May 1st, 2022, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

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PostDoc positions on neuromorphic sensing for condition monitoring
by Fredrik Sandin March 26, 2022

March 26, 2022

The Embedded Intelligent Systems Lab (EISLAB) at the Luleå University of Technology in Sweden is inviting applications for two 2-year PostDoc positions focusing on neuromorphic sensing for condition monitoring. The scholarships are intended for research that aims to develop knowledge about neuromorphic and event-driven sensor systems for advanced condition monitoring, e.g. investigating filterbanks, charge amplifier designs, event-based sampling, and machine learning based signal processing methods suitable for implementation with spiking neural networks and neuromorphic processors. The project is a collaboration between EISLAB and the division of Machine Elements and is funded by The Kempe Foundations. By taking part in this collaboration you will work in an international, creative resourceful environment with an extensive international contact network. Further information about the positions, requirements and how to apply is available here: - https://www.ltu.se/ltu/stipendier-priser/postdoc-stipendier?l=en - https://web103.reachmee.com/ext/I003/583/main?site=14&validator=47967adc563… ========================= Professor Fredrik Sandin EISLAB, Machine Learning Luleå University of Technology 971 87 Luleå, Sweden www.ltu.se/staff/f/fresan-1.10646?l=en

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MBL Methods in Computational Neuroscience Course - Deadline March 30
by Stephen A. Baccus March 25, 2022

March 25, 2022

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 28 to August 24, 2022, and the online application form can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 30*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2022 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2022 Faculty: Larry Abbott, Columbia University Tim Behrens, Univ. College London Emery Brown, MIT Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Albert Compte, IDIBAPS Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind

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Final Call For Papers: RaPID4@LREC-2022 and PSST Challenge ...
by Dim X March 25, 2022

March 25, 2022

Final Call for Papers: The 4th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" Full-day workshop: co-located with LREC 2022 | Marseille, France | June 25th, 2022 Submission deadline: Sat., 9th of April, 2022 (extended) Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ Website and more details: https://spraakbanken.gu.se/en/rapid-2022 Contact: Dimitrios Kokkinakis (dimitrios.kokkinakis(a)gu.se) RaPID-4 Organizing committee: Kathleen C. Fraser, National Research Council, Canada; Dimitrios Kokkinakis, University of Gothenburg, Sweden; Kristina Lundholm Fors, Lund University, Sweden; Johan Skoog, University of Gothenburg, Sweden; Charalambos K. Themistocleous, Johns Hopkins University, USA; Athanasios Tsanas, The University of Edinburgh, UK ************************************************************************************ Collocated shared task: for papers related to the Post-Stroke Speech Transcription, PSST Challenge: https://psst.study/ Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ PSST Contacts: Steven Bedrick (bedricks(a)ohsu.edu) or Gerasimos Fergadiotis ( gfergadiotis(a)pdx.edu) PSST Organizing committee: Steven Bedrick, Oregon Health and Science University, USA Gerasimos Fergadiotis, Portland State University, USA Robert Gale, Oregon Health and Science University, USA Mikala Fleegle, Portland State University, USA ************************************************************************************ RaPID-4 and the PSST ask for full papers, 4 to 8 pages, plus more pages for references if needed, which must strictly follow the LREC stylesheet: https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/ ************************************************************************************ Description: RaPID-4 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia. Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. the annotation, description, analysis and interpretation of linguistic, paralinguistic and extra-linguistic aspects of such data (i.e. spontaneous spoken language, transcripts, eye tracking, wearable and sensor measurements, digital biomarkers, etc.). Processing of such data can be used to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations. Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. ************************************************************************************

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2 Postdoctoral Research Positions at Imperial College London
by Schultz, Simon R March 24, 2022

March 24, 2022

These two posts form part of an interdisciplinary collaborative research project, “Statistical Physics of Cognition” funded by the UKRI and Wellcome. The aim of the project is to understand how neuronal avalanches relate to cognition. The postholders will be part of an interdisciplinary team including theorists, experimental neuroscientists and optical physicists aiming to solve this problem. The approach taken will be to perform large-scale neuronal imaging experiments to record the activity of thousands of neurons in the brains of mice performing cognitive tasks, to use advanced methods to analyse how distance from criticality is task-dependent, to develop models describing the role of avalanche dynamics in cognition, and to use graph theory, information theory and complexity theory to advance our understanding how large-scale network dynamics affect cognitive performance. As well as advancing our understanding of the way the brain operates, this may lead to new insights into how neurological disorders such as Alzheimer’s Disease cause degradation in cognitive function, and aid in the development of future treatments. Based in the Neural Coding and Neurodegenerative Disorders Laboratory led by Prof Simon Schultz, we are seeking two postdoctoral fellows to carry out neuroscience experiments involving mesoscopic two-photon imaging of neural activity from thousands of neurons in behaving mice. Applicants should have research experience in either systems neuroscience or in biomedical optics. A PhD in neuroscience, physics, or a cognate discipline is essential. Post 1 – Multiphoton optical microscopy. You will have expertise in biomedical optics, including the construction, maintenance and use of advanced optical apparatus for fluorescence imaging of neural activity, and an interest in neuroscience. Post 2 – Optical neurophysiology. You will have expertise in systems neuroscience, including experience in performing in vivo neurophysiology experiments, and expertise in processing and analysis of neurophysiological data. You will be based in the Neural Coding and Neurodegenerative Disease Laboratory led by Prof Simon Schultz and Dr Amanda Foust, in the Department of Bioengineering at Imperial College London. As well as members of the group, you will work closely with colleagues in the Department of Mathematics, including Prof Mauricio Barahona and Prof Henrik Jensen, as well as two theoretical postdoctoral fellows working as part of the collaborative project. You will also work together with external collaborators, including particularly Dr Fernando Rosas (University of Sussex) and Prof Lucilla De Arcangelis (University of Campania). The link to the official job advertisement and application portal can be found here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… I am happy to discuss the positions via email. (Please email me directly rather than replying to this email, as I have mailing list emails filtered). The closing date is 5th April 2022 (but is likely to be extended). Please note that there will be a further two postdoctoral positions advertised shortly, focused on theoretical elements of the project. ---------- Simon R. Schultz DPhil FIET FRSB Professor of Neurotechnology Director, Imperial College Centre for Neurotechnology Dept of Bioengineering, Imperial College London Email: s.schultz(a)imperial.ac.uk http://www.schultzlab.org http://www.imperial.ac.uk/neurotechnology Centre contact: Dr Kate Hobson, 0207 594 5101, k.hobson(a)imperial.ac.uk

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Upcoming HBP Education events
by HBP Education March 24, 2022

March 24, 2022

Dear Sir*Madam, I hope this e-mail finds you well! I would like to raise awareness for several upcoming events by the HBP Education Programme. Please consider adding them to your list of upcoming events. Symposium: From Cortical Microcircuits to Consciousness Date: 11-13 April 2022 Website: https://www.humanbrainproject.eu/en/education/corticon/ <https://www.humanbrainproject.eu/en/education/corticon/> Description: The Symposium: From Cortical Microcircuits to Consciousness aims at bringing together the Human Brain Project’s neuroscientists and invited guests to present their latest achievements in understanding neurocircuit dynamics at microscales, meso- and macro-scales, including the emergence of consciousness. Theories of consciousness will be reviewed and challenged by new findings from brain circuits and behavior. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will offer a hands-on session on The Virtual Brain, the platform of EBRAINS for constructing and simulating personalised brain network models. EBRAINS is the European research infrastructure for gathering, processing and simulating brain data. Finally, the Symposium will address the recent advances in neuroethics and neurophilosophy in neuroscience research and society. Address: Institut Catholique de Paris, 21 Rue d'Assas, 75006 Paris, France Registration deadline: 6 April 2022 ———————————————— Young Researchers Event 2022 in Denmark Date: 16 May 2022 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ <https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/> Description: HBP <http://humanbrainproject.eu/> and EBRAINS <http://ebrains.eu/> together with the University of Copenhagen <https://www.ku.dk/english/> invite the entire scientific community, in particular early career researchers, to join the Young Researchers Event on 16 May 2022 at the University of Copenhagen, Denmark. Young Researchers Events provide a setting where EBRAINS <http://ebrains.eu/> RI, the Project’s tools and results are presented to early career scientists as well as to a wider scientific community. The event will introduce participants to EBRAINS, offer opportunities to exchange information and knowledge with peers, as well as with renowned experts. Address: University of Copenhagen, Faculty of Health and Medical Sciences, Maersk Tower, Blegdamsvej 3B, 2200 Copenhagen, Denmark Registration deadline: 9 May 2022 —————————— EBRAINS Brain Simulation School 2022 Training on Single Neuron Models, Brain Circuit Models, Cognition, Collaboratory, Synaptic Plasticity and Learning Date: 30 May – 3 June 2022 Website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ <https://www.humanbrainproject.eu/en/education/BRAINSIM/> Description: The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the digital infrastructure for brain research EBRAINS <http://ebrains.eu/>, created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use EBRAINS Computing Services configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to carry out their own research, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases. The target audience of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure. The event is limited to 40 participants. Address: Splendid Hotel la Torre, Via Piano di Gallo 11, 90151 Palermo, Italy Registration deadline: 30 April 2022 ——————————————— Brain Activity across Scales and Species: Analysis of Experiments and Simulations (BASSES) - EBRAINS Workshop Date: 13-15 June 2022 Website: https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/ <https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/> Description: The HBP and EBRAINS invite interested scientists to join the forthcoming EBRAINS Workshop on Brain Activities across Scales and Species. The study of brain rhythms and of spatio-temporal patterns of brain activation is an important test-bench for understanding connectivity and the mechanisms that determine cognitive systems in mammals. The large variety of available experimental protocols and measurement techniques enable researchers to investigate new scientific questions. In addition, the input from experimental observations is used to design theoretical models able to emulate brain dynamics and cognitive mechanisms in in-silico experiments. The goal of the BASSES Workshop (Brain Activity across Scales and Species: analysis of Experiments and Simulations) is to provide an overview of the scientific topic of brain states and complexity, state transitions, and their connection with cognitive functions, and to demonstrate the achievements in this field obtained within the Human Brain Project thanks to the functionalities provided by the EBRAINS <http://www.ebrains.eu/> research platforms. Lectures will showcase the latest advancements in analysis strategies and whole-brain modelling tools. Hands-On Sessions will allow the participants to be actively engaged and test the EBRAINS functionalities for data storage, curation, analysis, and modelling. BASSES will allow people with different expertises, from experimental and theoretical neuroscientists to computer scientists, to share results and ideas and connect into a wider community. Address: ROMA EVENTI – Fontana di Trevi, Piazza della Pilotta, 00187 Rome, Italy Registration deadline: 27 May 2022 ———————————————————————— Please don’t hesitate to contact us should you need further info. Thank you in advance Best regards, HBP Education Team

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