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13+ PhD positions in BioRobotics at the BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
by Calogero Maria Oddo 22 May '21

22 May '21

************************************************************************************** 13+ PhD positions in BIOROBOTICS at Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/sites/default/files/flyer_phd_biorobotics_2021_… ************************************************************************************** The PhD Program in BioRobotics is a three-year course managed by the BioRobotics Institute (https://www.santannapisa.it/en/institute/biorobotics/biorobotics-institute) linked to the Department of Excellence in Robotics & AI, at Sant'Anna School of Advanced Studies, in Pisa (Italy). The PhD in BioRobotics is one of the largest doctoral schools worldwide in biomedical engineering and robotics, with 100+ PhD students enrolled. In the last release of the Times Higher Education (THE) ranking, Sant'Anna School of Advanced Studies is listed 4th worldwide among young universities (https://www.santannapisa.it/en/university/rankings) All PhD positions are fully funded by Sant'Anna School of Advanced Studies and research projects of The BioRobotics Institute. The number of positions awarded is expected to be expanded with additional fellowships that may be available before the start of the PhD course in October 2021. The students are educated in a stimulating and multidisciplinary environment, both through high-level courses and through demanding, creative and original research work. PhD projects are carried out in very well equipped, state-of-the-art laboratories (in such fields as micro-engineering, biomedical engineering, biomimetic and soft robotics, rehabilitation technologies, surgical robotics and neural engineering, robot companions) and through individual and teamwork performed under the supervision of a full-time faculty. The PhD programme in BioRobotics guarantees a wide and multidisciplinary educational offer, organized both on horizontal clusters, which contain the fundamental teachings on the scientific issues characterizing the cultural approach of BioRobotics, and on vertical clusters, which contain the courses proposed by the scientific themes of The BioRobotics Institute, namely: wearable and collaborative technologies, artificial organs and prostheses, medical robotics and regenerative medicine, mathematical and computational modeling, bioinspired and soft robotics, bioelectronics and neuroscience robotics (https://www.santannapisa.it/en/institute/biorobotics/research-themes) ADMISSION: Students are admitted to the PhD Program following a successful entrance examination. Eligible applicants must hold a Master of Science (M.Sc.) degree or equivalent. Undergraduate students may also apply if they graduate within Oct. 31, 2021. START: Oct. 1, 2021 CALL details: https://www.santannapisa.it/en/admissions/call-admission-phd-biorobotics-4 APPLY at: www.santannapisa.it/en/education/phd-biorobotics<http://www.santannapisa.it/en/education/phd-biorobotics> DEADLINE: June 3, 2021 CONTACT: PhDBiorobotics(a)santannapisa.it<mailto:PhDBiorobotics@santannapisa.it> Best regards, Arianna Menciassi and Calogero M. Oddo, on behalf of the PhD Board -- Calogero M. Oddo, Associate Professor of Bioengineering PhD BioRobotics, MSc and BSc Electronic Engineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Vice-Coordinator of the PhD programme in BioRobotics, Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics Head of the Neuro-Robotic Touch Laboratory Neuro-robotics Area, The BioRobotics Institute, Sant'Anna School of Advanced Studies, Pisa, Italy Viale Rinaldo Piaggio 34, 56025, Pontedera (PI), Italy http://www.santannapisa.it/en/neuro-robotic-touch-laboratory Department of Excellence in Robotics & AI, Sant'Anna School of Advanced Studies, Pisa, Italy Piazza Martiri della Libertà, 33 - 56127 Pisa, Italy https://www.santannapisa.it/en/robotics-ai IEEE Senior Member, Founding Vice-Chair of the Italian Chapter of the IEEE Sensors Council (2018-20) http://sites.ieee.org/italy-sensors/about-ieee Office: +39050883067; Mobile: +393316992273; email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it>

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Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough
by Aurel A. Lazar 21 May '21

21 May '21

Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough, June 10-11, is now open at https://sites.google.com/njit.edu/diamonds <https://sites.google.com/njit.edu/diamonds>. Aurel http://www.bionet.ee.columbia.edu

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23 positions available to study The Adaptive Mind
by Constantin Rothkopf 21 May '21

21 May '21

The Universities of Giessen, Marburg, and Darmstadt together with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS) aim strategically to further strengthen research in the field of Mind, Brain, and Behavior by establishing a cluster project The Adaptive Mind. Supported by the Hessen State Ministry for Higher Education, Research and the Arts, applications for 11 Doctoral researcher positions (65%, 75% or 100%) and 12 PostDoc positions (100%) are invited. The positions are available immediately and are fixed maximally up to 31.03.2025. If the requirements are met, the position will be paid according to pay group 13. The place of employment will be Giessen, Marburg, Darmstadt or Frankfurt. In The Adaptive Mind, we combine rigorous behavioral and neurophysiological research methods and theories from experimental psychology, with the unique patient-oriented insights of psychiatry and clinical psychology and the power of quantitative analysis and computational modeling by artificial intelligence. Our goal is to observe empirically, describe quantitatively, and model computationally how the human mind continually adapts in an ever-changing and often unpredictable world. Further details about the cluster project, the Key Research Areas, the Principle Investigators and conditions of application can be found at www.theadaptivemind.de. For the doctoral researcher positions, we invite the application of highly qualified applicants with a Masters degree from life-, biomedical- and natural sciences including psychology, or computer science. The successful PostDoc applicants will have a doctorate in any of the following areas: experimental psychology, cognitive sciences, neuroscience, artificial intelligence, robotics, sensorimotor control, computational psychiatry, or other allied fields. Experience in motion tracking, virtual reality, machine learning or other computational approaches are beneficial. The successful applicants will join a thriving research community with strong regional, national and international connections as documented among others by numerous high-profile individual (e. g., 8 ERC grants) and group grants (e.g., the Collaborative Research Center (SFB/TRR 135) on Cardinal Mechanisms of Perception, the IRTG 1901 The Brain in Action, the Research Unit RU 2107 Neurobiology of Psychiatric Disorders, the Centre for Cognitive Science and the Hessian Center for Artificial Intelligence - hessian.AI, as well as other collaborative research endeavors). All participating institutions are committed to increasing the proportion of women in science, and female candidates are strongly encouraged to apply for the positions. All participating institutions are family-friendly institutions, applicants with children are warmly welcomed. Applicants with severe disabilities will be given preference over other candidates with equal suitability for the position. Application and interview costs cannot be refunded. For further information, please contact Dr. Filipp Schmidt (filipp.schmidt(a)psychol.uni-giessen.de) Please send your application (incl. CV, Research statement, 2 Reference letters, Scans of degree certificates) mentioning reference number 293/06 as a single PDF file to Dr. Filipp Schmidt, Research Coordinator Mechanisms of Perception and Adaption (filipp.schmidt(a)psychol.uni-giessen.de) before June 11, 2021. Application procedure: All applications are received centrally by the research coordinator of the priority research area "Perception and Adaptation", Dr. Filipp Schmidt at Justus-Liebig University Giessen. The application documents will be made available to the selection committee, consisting of the cluster PIs and of representatives of the partner universities, following the highest standards for data protection. Please specify in your application to which of the research fields specified below you are applying. Staff representatives of all partner universities will be invited to the job interviews. Employment is at the partner university the position is assigned to, following the salary scales applicable locally. Research areas: All research in our Cluster tries to combine Experimental Psychology and Movement Sciences, Artificial Intelligence and Computational Cognitive Science, as well as Clinical Psychology and Psychiatry. The focus for each position will be as follows:. At Justus-Liebig-Universität Giessen (JLU) Experimental Psychology and Movement Sciences (4 PostDoc and 4 Doctoral researcher positions 75%). At Philipps-Universität Marburg (UMR) Experimental Psychology (2 Doctoral researcher positions 75%), Computational Cognitive Science (1 PostDoc position), Clinical Psychology (1 PostDoc position), Psychiatry (2 PostDoc und 1 Doctoral researcher positions 75%). At Technische Universität Darmstadt (TUDa) Artificial Intelligence and Computational Cognitive Science (4 PostDoc and 2 Doctoral researcher positions 100%). At Goethe-Universität Frankfurt am Main (GU) Experimental Psychology (1 Doctoral researcher position 65%). At FIAS Computational Cognitive Science (1 Doctoral researcher position 65%). -- Prof. Constantin A. Rothkopf, PhD phone: +49 6151 16-23367 Director, Centre for Cognitive Science http://www.cogsci.tu-darmstadt.de/ Head, Psychology of Information Processing Group, http://www.pip.tu-darmstadt.de/ Institute of Psychology, Technical University of Darmstadt https://hessian.ai/ Adjunct Fellow, Frankfurt Institute for Advanced Studies. https://fias.uni-frankfurt.de/~rothkopf/

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5 year postdoctoral position in Insect Robotics Group, Edinburgh
by Barbara Webb 20 May '21

20 May '21

A research associate position is available to investigate insect-inspired grasping mechanisms on the EPSRC funded project GRASP, under the direction of Professor Barbara Webb, in the School of Informatics, University of Edinburgh. The position is available from September 1, 2021, for 5 years. The primary role of the candidate will be to undertake biological experiments, behavioural analysis and modelling aimed at establishing how ants solve the 'grasp of unknown object in clutter' problem. This will include the development of new tracking and behavioural analysis methods, and the development and implementation of functional hypotheses as computational models of the antʼs behaviour. In collaboration with a second research associate, the key principles will be replicated on a mobile robot platform capable of both navigation and manipulation under natural conditions. Candidates are expected to have a PhD (or be near completion) in experimental or computational biology or neuroscience, including substantial experience in computational methods for behavioural analysis and modelling. A track record of good journal publications in this area should be demonstrated. The candidate is also expected to have good programming and system engineering skills, and ideally, practical skills in the design and utilisation of novel experimental methods. Candidates with direct experience and knowledge of insect research will be preferred. For informal enquiries please contact Professor Barbara Webb (B.Webb(a)ed.ac.uk) Full details and applications (deadline June 10) via: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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Excellence ASTROTECH PhD Project in Modeling the Neuron-Glial-Vascular Unit
by Maurizio De Pittà 19 May '21

19 May '21

Dear colleagues, Please disseminate it. I am happy to announce that the Basque Center for Applied Mathematics (BCAM) in Bilbao (Spain) is opening one Excellence Ph.D. Fellowship as part of the H2020 ASTROTECH Consortium. The Fellowship is for a 3-year project to be carried out at the University of the Basque Country (UPV/EHU) under the supervision of Drs. Maurizio DE PITTA (BCAM) and Christophe BERNARD (Aix-Marseille University). The project aims to “Computational Glioscience approaches to volume signalling transmission in the Neuron-Glial-Vascular Unit (NGVU)” to develop a mathematical model of neuron-glial-vascular interactions based on biophysical principles of volume transmission in the brain parenchyma. The candidate will collaborate tightly with industry representatives and will implement the model in an open-source simulation platform adopted in the clinical practice. The candidate, in conjunction with biologists and medical doctors, will test the NGVU model built by this project by brain-wide simulations of epileptic seizures, with emphasis on new venues for their diagnosis and treatment. We are seeking excellent candidates with multi-disciplinary interests in Applied Mathematics, Computer Science, Physics, Engineering, Biology and Medicine. An essential requirement is capacity for mobility. The candidate’s reference residence will be in Spain at BCAM, with an enrolment in the University of Basque Country (UPV/EHU) to obtain a doctoral degree. She/He will spend extensive periods of time out of Spain, including mandatory training of 1 to 3 months, respectively at Aix-Marseille University (Marseille, France), at University of Bari Aldo Moro (Bari, Italy), at Italian Research Council in Rome (Italy), and at CODEMART (Romania). Furthemore, the candidate will be required to participate in mandatory training schools and technical workshops (2-3 per year) organized by the ASTROTECH Consortium at different locations in Europe, for the entire duration of the project. The ASTROTECH Consortium (http://www.astrotechproject.eu) is a European high-level training-by-research consortium federating world-leading European groups working to develop new technologies to explore astrocyte functions in the brain. Becoming Ph.D. candidate of the network offers unique training and interaction opportunities with other ASTROTECH members, in addition to the specific research conducted at the host labs. The fellowship comes with a competitive salary within the prestigious Marie Sklodowska-Curie Actions scheme, including funds to participate to training and conferences. Selection process. The top-ranked candidates will be interviewed orally, and the successful candidate will be chosen based on a competitive, equal-opportunities procedure. Interested candidates are encouraged to make a parallel inquiry, writing to me directly (Email object: “ASTROTECH PhD Position”), including a CV along with the name of two references and any other information that they may wish to share. Contact: Maurizio DE PITTA, mdepitta(a)bcamath.org Requirements for application. -- MSc degree, preferably in Physics, Mathematics, Engineering or Computer Sciences. -- High proficiency in spoken and written English. Skills. -- Proven record of excellence in the Master’s training. -- Excellent communication and interpersonal skills, with ability to effectively communicate ideas to an heterogeneous audience of biologists, medical doctors, and physicists. -- Ability to work in a fast-changing, international environment. -- Ability to meet deadlines. -- Openness towards inclusive science, racial and LGBTQ+ minorities. -- Excellent capacity for planning, independence, and creativity. -- Programming proficiency in at least one of the following languages: Python/C++/Julia. -- Familiarity with HPC and GPU/CUDA programming is a plus. -- The preferred candidate will have a strong interest in neurobiology and aims to pursue a career in multidisciplinary research in neurosciences, quantitative medicine or computational psychiatry. Application deadline is June 30, 2021, 2pm CET (UTC+1) Starting Date is November 2021. Open ASTROTECH Info day: May 26, 9.45am -- 1pm CET (UTC+1) https://global.gotomeeting.com/join/653571365 Application is submitted online through the BCAM portal: http://www.bcamath.org/en/research/job/phd-position-for-h2020-project-astro… For more information: https://sites.google.com/site/mauriziodepitta/jobs?authuser=0 ----- Maurizio De Pitta' https://sites.google.com/site/mauriziodepitta/home

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„Bridging grant” from the German Society for Cognitive Science (GK) for BA-, MA- and PhD students
by Constantin Rothkopf 18 May '21

18 May '21

The German Society for Cognitive Science (GK) would like to support students who find themselves in a difficult (emergency) situation caused by the Corona pandemic with a bridging grant. The grant consists a funding for maximum of three months á 500 € per month. The GK is able to offer up to eight grants. The grant is meant as financial support allowing to finish the respective degree (Bachelor or Master) or providing some financial relief during an important PhD thesis phase (e.g. finishing a paper). The selection will be done by the members of the steering committee of the German Society for Cognitive Science (GK). The committee will consider all emergency cases as long as they have been caused by the Corona pandemic within the context of the studies and/or doctoral programme and are sufficiently substantiated with proof. Target group: This funding is intended for students who are enrolled and/or registered in a German university. In particular, only the following persons are eligible for funding: (1) Bachelor or Master students within a Cognitive Science Programme who, ideally, will be able to graduate soon, and (2) PhD students registered in one of the subjects belonging to Cognitive Science (e.g. Philosophy, Psychology, Informatics, AI, Linguistics, Neurosciences) who are working on a cognitive science project. Persons who already received a bridging grant from the GK are not eligible to apply. Paradigmatic case: A student pursuing a Master degree has fallen behind with her master thesis because due to the Corona-pandemic she could not arrange the childcare and had to take care of the child herself. The funding could be used to pay for a privately organised childcare. Application and Proof: To submit: - a statement comprehensibly describing applicant’s emergency situation (cases with evidence are preferred) and indicating the use of the funding. - BA and MA students: - - Enrolment confirmation and Transcript of Record - - A letter from the faculty’s/program’s advisor confirming the regular continuation of studies, anticipated graduation (within the winter term 2021/2022) - PhD students: - - A short statement from the first supervisor roughly sketching the cognitive science related project and describing the project’s progress The application shall be emailed with the subject „Application Bridging Grant“ to the following email: Chair of the GK, Prof. Dr. Barbara Kaup, barbara.kaup(a)uni-tuebingen.de; Application deadline: 15.06.2021

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Data analyst position at the European Neuroscience Institute
by googlemail 17 May '21

17 May '21

The European Neuroscience Institute Göttingen (Germany) is seeking a Neuroscience data analyst (f/m) start date will be September 1st, 2021, the contract is initially limited to 3 years with extension options, full-time salary according to TV-L. The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g., through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments. S/he will have the opportunity to develop and publish, e.g., analytical tools that arise from this work. • The applicant should possess a university degree (minimally M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. • The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant shall demonstrate strong analytical skills and knowledge of novel and emerging analysis techniques is highly desired. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups’ scientific process is expected. • The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. • Contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. • Utilize programming languages such as Python, Matlab and/or C++. • Good command of English is mandatory. The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by June 15th, 2021 University Medical Center Göttingen European Neuroscience Institute Göttingen Dr. Jan Clemens Group Leader Grisebachstr. 5 37077 Göttingen Tel.: 0551/39-61351 E-Mail: j.clemens(a)eni-g.de Web: http://www.eni-g.de/ Please send your application only via e-mail as a single PDF-file. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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[jobs] 4 PhD@IIT in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies
by Francesco Rea 17 May '21

17 May '21

PhD course in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The 4 fully funded fellowships are offered this year by the Istituto Italiano di Tecnologia (IIT) and Università degli studi di Genova (course code 8638) as part of this curriculum by the Robotics Brain and Cognitive Sciences<https://www.iit.it/web/robotics-brain-and-cognitive-sciences> Unit (RBCS) guided by Giulio Sandini and by the Unit COgNiTive Architecture for Collaborative Technologies (CONTACT) guided by Alessandra Sciutti: * ENABLING ROBOTS TO UNDERSTAND AND ADAPT TO HUMANS * ASSESSING AND TRAINING VISUO-HAPTIC EXPLORATION * PROACTIVE MEMORY IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * ADAPTATION IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * TRUST AND SHARED PERCEPTION IN COGNITIVE ROBOTICS http://phd.dibris.unige.it/biorob/media/PhD%20themes%2037o%20-%20Cognitive%… All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, beside two iCub humanoid robots, eye-tracking and motion capture facilities. All research themes are available at the Admission - Research Themes 2021<http://phd.dibris.unige.it/biorob/index.php/how-to-apply> (http://phd.dibris.unige.it/biorob/index.php/how-to-apply) web page. Visit the program page<http://phd.dibris.unige.it/biorob/index.php> (http://phd.dibris.unige.it/biorob/index.php) for more information. To apply: full information is available at the general web page of the 37th cycle Ph.D.call - 2021/2022<https://unige.it/usg/it/dottorati-di-ricerca> of the Università degli studi di Genova. Applicants can download the complete notice of competition (the Call for applications)<https://unige.it/sites/contenuti.unige.it/files/documents/Bando_XXXVII_Engl…>, with general condition on Phd Courses and the application, the list of PhD programs<https://unige.it/sites/contenuti.unige.it/files/documents/ANNEX_A_XXXVII%20…>, containing the Course description. Please follow the steps listed: 1. Choose the programme, 2. Review the application, 3. Get in contact with the supervisors, 4. Apply, following the detailed instructions<https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVII.…> and using the online procedure<https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda> .

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2021 NEURON Online Course
by Ted Carnevale 17 May '21

17 May '21

The 2021 NEURON Online Course will start on Thursday, June 3, 2021, and will meet Tuesdays and Thursdays thereafter until Tuesday, August 3. This course maps the first half of the NEURON Summer Course into a series of interactive online workshops about building and working with models of single neurons. It is suitable for individuals at all levels of expertise. Although it focuses on modeling individual cells, the topics it covers are the foundation for modeling networks with NEURON. Space is limited, and applications will be considered in the order received. The registration deadline is Monday, May 31, 2021. No applications will be accepted after that date. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/web2021/june.html --Ted

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You don't want to miss the "Modeling Electrophysiological Activities" Online Course
by Mary 16 May '21

16 May '21

Dear researchers, We are less than two weeks away from the "Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue" Online Course, which will be held by Dr. Damien Depannemaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France (Click HERE for more information about his researches and background). This course is coming after an introductory webinar, which you can watch now using the link below: https://sciencebeam.com/modeling-electrophysiological-activities/ This course aims to discuss models in neuroscience and particularly models of electrophysiological activities. During the course, we will discuss the field of application of such models. We will introduce the concepts of dynamical systems. Then we will implement these models during lab sessions. Finally, we will discuss the results of simulations in relation to the data obtained experimentally. Prospective Overview of Sessions: ➢ Session 1 (May 25th): • Systems and complex system in neurosciences • Origines of electrophysiological signals and measurements • Electrophysiology and relevant features for computational modeling (Membrane potential, Raster plot, Local field potential) ➢ Session 2: • Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. • Introduction to dynamical systems for neurosciences (Differential equations, Phase space representation, Stability and domain of attraction) • Unidimensional and bi-dimensional models (Dynamics of integrate-and-fire models, Repertoire of 2 D models, Reduction of Hodgkin-Huxley model) ➢ Session 3: • 2D and Higher dimensions models (Particular role of the reset, Possibility of chaos) • Models of synapses • Limits of models (Biophysical and mechanistic description, Phenomenology) • Introduction to the first lab session (with Brian2 simulator) ➢ Session 4: • First Lab Session: - Repertoire of electrophysiological patterns - Models of networks - Global measure on simulations ➢ Session 5: • Second lab session: - analysis of the results - relations to the data • Conclusive discussion • Due to time zone differences, the recorded sessions will be provided for the participants. • A certificate is granted by ScienceBeam upon completion of the course. • In case of group registration (more than 3 people), you benefit from a 15% discount on your registration fees. Register NOW using the link below: https://sciencebeam.com/online-course-modeling-electrophysiological-activit… If you require more information, don’t hesitate to contact me. Sincerely Mary Reae Human Neuroscience Department Manager www.ScienceBeam.com WhatsAppno: 008613380781282

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PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland
by Auke Ijspeert 16 May '21

16 May '21

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ <https://www.epfl.ch/labs/biorob>) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KI Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ <http://phd.epfl.ch/>). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch <mailto:auke.ijspeert@epfl.ch> (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Invitation to join UNIQUE Student Symposium 2021
by 雷晓璇 15 May '21

15 May '21

Please spread the word around! TL;DR: UNIQUE Student Symposium <https://uss2021.github.io/>, a 2-half-days conference at the crossroads between AI and neuroscience will take place on June 7-8th. Registrations and submissions of abstracts are open! Link for registration: https://forms.gle/dkzE2zBwTk6Ga5Ft9 <https://forms.gle/dkzE2zBwTk6Ga5Ft9> Link for lightning talk submission: https://forms.gle/WLjjGrY18ZFRjDGh9 <https://forms.gle/WLjjGrY18ZFRjDGh9> Four weeks counting down and we are happy to present a fantastic program with keynote talks and educational sessions, all with an amazing line-up of speakers! This year, we are organizing the 2nd edition of UNIQUE Student Symposium (USS) on new directions in #neuroscience and #AI. USS 2021 is a two-day free and open event. With a theme focus on #consciousness and #ethics, we are honored to have Dr. Megan Peters and Dr. W.F.G. Haselager (Pim) as keynote speakers on Day 1 (June 7th), followed by a panel discussion with additional speakers to be announced very soon. The first day will include a lightning talk session especially thought for students to submit their recent work or proposals. We encourage you and your students to participate! This is a great opportunity to share your work with like-minded people and sharpen your presentation skills.Day 2 (June 8th) consists of parallel educational and discussion sessions. We will host a round table on mental health, and two workshops on open science and equity, diversity and inclusion. Simultaneously, we will have interactive discussion sessions on machine learning for neuroscience, memory and learning and decision making, led by three experts in the fields: Guillaume Lajoie, Thomas Shultz and Paul Cisek. The keynotes and panel sessions on Day 1 will be streamed on Crowdcast and Day 2 will take place on Gather.town so we can mimic in-person interaction as much as possible (Spoil alert: there will be a social beach on the venue which you should not forget to visit!) Save the date for this year's UNIQUE Student Symposium, 7-8 June! Registration (for participation) closes on Friday, May 28th, and Submission for lightning talks closes on Friday, May 20th. For detailed info of speakers and schedule, please check our website: https://uss2021.github.io <https://uss2021.github.io/> Twitter: @ai_unique https://twitter.com/ai_unique <https://twitter.com/ai_unique> Alex and Xiaoxuan On behalf of USS2021 organization committee

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Abstracts DEADLINE EXTENDED for CNS*2021 Meeting
by Martin Zapotocky 15 May '21

15 May '21

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* **30th Annual Computational Neuroscience Meeting (CNS*2021)* - ONLINE July 3--7, 2021 https://www.cnsorg.org/cns-2021-online <https://www.cnsorg.org/cns-2021-online> The CNS*2021 *abstract submission deadline* has been extended to *Saturday, May 22* at 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2021-online-registration <https://ocns.memberclicks.net/cns-2021-online-registration>Abstract Submission: https://cns.confmaster.net/ <https://cns.confmaster.net/> -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists Become a member to be eligible for awards and other benefits. Visit our website for more information: http://www.cnsorg.org <http://www.cnsorg.org> -------------------------------------------------------------------------------------------- Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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OEduverse June Summer School - Applications still open!
by Jolivet, Renaud 13 May '21

13 May '21

[https://mcusercontent.com/a5eb3078024195b9a8b6dbb39/images/85c79bb9-687b-40…] [https://mcusercontent.com/a5eb3078024195b9a8b6dbb39/images/885023aa-0013-45…]<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> Co-create the research environment that you want to be in! Our research environment is far from perfect. Together, in the first OEduverse<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> Summer School - Hackathon we can design an environment to thrive in. Join PhD students from other research disciplines, experts, and trainers on mental wellbeing, open science, and communication to design a roadmap that you, as an individual, can take action on either in the course of your work or within your home institution. Using guided reflection, working in teams, use cases, and practical workshops, you will go from creating a dystopia to a utopia and develop the tools needed to make it a reality. ALL research disciplines welcome! The week long Hackathon will provide participants with knowledge on how to build healthy working relationships, Open Science tools, effective communication in difficult situations, ethical course of action, and MORE. Read more about the Summer School Program here.<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> Speakers and Trainers * Dr. Gábor Kismihók, Head of the Learning and Skills Analytics research Group at the Leibniz Information Center for Science and Technology (TIB) in Hannover, Germany. * Ms. Jo Harney, Counselling Psychologist in the position of Training and Groups Manager at the Student Counselling Service in Trinity College Dublin, Ireland. * Ms. Petra Ardai, Artist Director at of the Amsterdam and Budapest based art collective SPACE.She collaborates with cross-sector partners from the field of art, science, and NGO’s. * Dr. Stefan T. Mol, Assistant Professor of Organizational Behavior and Research Methods at the Amsterdam Business School of the University of Amsterdam. Fee * 50 EUR - Current PhD Students * 95 EUR - Postdocs and Supervisors This summer school is made possible with the Co-Funding of Erasmus+ Funds. Max 20 Participants Apply <https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> Open Virtual SciLink Courses MSCA PostDoc Fellowship Proposal Course - Refine and improve your MSCA fellowship proposal | July 7th | By. Dr. Brian Cahill - Register HERE<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> Research Project Management - Learn to manage any research project with confidence | June 7-8 | By Dr. Gabor Kismihok - Register HERE<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> [https://mcusercontent.com/a5eb3078024195b9a8b6dbb39/images/10c4eef4-8d50-42…] Get In Touch<mailto:info@scilink.eu?subject=Request%20for%20Information%20> [Twitter]<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> [https://www.facebook.com/SciLinkNL]<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> [LinkedIn]<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> [Website]<https://scilink.us5.list-manage.com/track/click?u=a5eb3078024195b9a8b6dbb39…> [Email]<mailto:info@scilink.eu> Copyright © 2021 SciLink Foundation, All rights reserved. You were subscribed to the newsletter from SciLink Foundation Our mailing address is: SciLink Foundation Van der Palmkade 121 AMSTERDAM, Noord Holland 1051RH Netherlands Add us to your address book<https://scilink.us5.list-manage.com/vcard?u=a5eb3078024195b9a8b6dbb39&id=b2…> Want to change how you receive these emails? You can update your preferences<https://scilink.us5.list-manage.com/profile?u=a5eb3078024195b9a8b6dbb39&id=…> or unsubscribe from this list<https://scilink.us5.list-manage.com/unsubscribe?u=a5eb3078024195b9a8b6dbb39…>. [Email Marketing Powered by Mailchimp]<http://www.mailchimp.com/email-referral/?utm_source=freemium_newsletter&utm…>

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FRONTIERS: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY: Update!
by Stephen José Hanson 13 May '21

13 May '21

Frontiers Topic: Brain Connectivity, Dynamics and Complexity. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… Frontiers in Human Neuroscience Cognitive Neuroscience Frontiers in Computational Neuroscience Submission deadlines have been updated; JUNE 30, 2021: Abstracts due NOVEMBER 30, 2021: Manuscripts due You may send in submissions at any time now. Please send any enquires to any of the Co-Editors concerning your submissions. S. Hanson R. Romero-Sanchez P. Antonio Valdez-Sosa B. Biswal -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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Call for papers special Issue IEEE TCDS
by Bruno Lara 12 May '21

12 May '21

Dear all We would like to announce a special issue for the journal IEEE Transactions on Cognitive and Developmental Systems. The general topic revolves around perceptual optimization processes related to attentional and predictive mechanisms. We are interested on work coming from a wide range of areas including robotics, psychology, philosophy and neuroscience. Themes include: · Attentional and gating mechanisms for action and sensory information processing · Context- and task-dependent perceptual optimization · Sensory attenuation/cancellation and sensory enhancement/facilitation · Interplay of predictive and attentional mechanisms for prediction error minimization · Multimodal integration and/or cross-modal interactions · State representation learning · Constrained innate priors that drive learning · Prediction in language learning and comprehension · Prediction error dynamics monitoring · Dreaming, non-conscious perception, hallucination, altered perceptual phenomena Manuscripts should be prepared according to the “Information for Authors” of the journal found at: https://cis.ieee. org/publications/t-cognitive-and-developmental-systems/ tcds-information-for-authors Submissions should be done through the IEEE TCDS Manuscript center: https://mc. manuscriptcentral.com/tcds-ieee Please select the category “SI: Prediction and Perception in Humans and Robots”. *Important dates* Paper submission deadline - 15 July 2021 Notification to authors - 15 September 2021 Deadline revised papers submission - 15 November 2021 Final version - 15 December 2021 *Guest Editors * Alejandra Ciria (UNAM) Guido Schillaci (Scuola Superiore Sant’Anna) Bruno Lara (UAEM) Emily S. Cross (University of Glasgow) Angelo Cangelosi (University of Manchester) -- -- +++++++++++++++++++++++++++++++++++++++++++++ Dr. Bruno Lara Guzman Profesor Investigador Centro de Investigación en Ciencias Universidad Autónoma del Estado de Morelos Av. Universidad 1001. Col. Chamilpa Cuernavaca, Morelos. C. P. 62209-- M É X I C O +++++++++++++++++++++++++++++++++++++++++++++ http://roboticacognitiva.mx Tel (52) (777) 3-29-70 40 x 3280 +++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++

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The second Canadian Computational Neuroscience Spotlight (a free, virtual meeting) is under a week away
by Scott Rich 11 May '21

11 May '21

The second Canadian Computational Neuroscience Spotlight is now less than a week away, beginning this coming Monday, May 17 via the Crowdcast online platform. The finalized program for the meeting can be found at https://ccnsmeeting.ca/#04-ccns-2021-program. It includes 18 renowned computational neuroscientists, including keynote speakers Drs. Yulia Dembitskaya, Michael London, Andre Longtin and Richard Betzel. Additionally, we have 30 trainees who will be giving short "trainee talks" at the meeting. Finally, we will host a panel discussion each day (12 pm EDT on Monday, 1 pm EDT on Tuesday) consisting of computational neuroscientists at various stages of their careers which should yield fascinating conversation. Registration for the meeting is 100% free at https://www.crowdcast.io/e/ccnsv2/register, More details on the meeting and the speakers can be found at ccnsmeeting.ca. We look forward to seeing you at CCNSv2! Sincerely, – Scott Rich, Ph.D. Postdoctoral Research Fellow, Krembil Research Institute – Andreea Diaconescu, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – John Griffiths, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – Milad Lankarany, Ph.D. Scientist, Krembil Research Institute

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2 PhD positions at the University of Lille on neuromorphic architectures for videoprotection
by Pierre Boulet 11 May '21

11 May '21

The Luxant-ANVI industrial chair (Neuromorphic Architectures for VIdeoprotection) recruits 2 fully funded PhD students next September at the University of Lille on "Security and Privacy of Neuromorphic Computing Systems" and "Spiking Neural Networks for Video Analysis". The subjects are detailed at https://www.cristal.univ-lille.fr/sujets-these/details.html?id=1f15692132a4… et https://www.cristal.univ-lille.fr/sujets-these/details.html?id=567195f08f3b…. Please send you application (CV, cover letter, 2 references) before June 4, 2021 to chaire-anvi(a)univ-lille.fr. -- Université de Lille <http://www.univ-lille.fr/> *Pierre BOULET* *Vice-président transformation numérique,* Professeur d'informatique, Faculté des Sciences et Technologies, CRIStAL - UMR 9189, Président du CITC-EuraRFID, Vice-président de l'association VP-Num. Pierre.Boulet(a)univ-lille.fr <mailto:Pierre.Boulet@univ-lille.fr> *|* pro.univ-lille.fr/pierre-boulet <https://pro.univ-lille.fr/pierre-boulet/> Siège : 42 rue Paul Duez, 59000 Lille IRCICA : 50 avenue Halley - Bureau 103, 59658 Villeneuve d’Ascq cedex T. +33 (0)6 09 08 18 11

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2nd Workshop on Non-Invasive Brain Stimulation 2021
by Ivan Alekseichuk 10 May '21

10 May '21

Dear colleagues, We want to invite you to join the 2nd Workshop on Non-Invasive Brain Stimulation (NIBS) 2021! The meeting will be held *online on June 3-4*. The registration and abstract submission *deadline is the 23rd of Ma*y ( https://NIBS-Workshop.umn.edu) Non-invasive tools capable of selectively manipulating neural systems in the human brain are needed to advance our neuroscientific understanding of brain function and develop novel therapeutic strategies. The workshop includes lectures and hands-on sessions. Transcranial magnetic stimulation ( *TMS*), transcranial direct current stimulation (*tDCS*), and transcranial alternating current stimulation (*tACS*) modulate neural activity by inducing electric fields in the brain. Increasingly, these approaches are combined with computational head modeling and imaging methods such as functional magnetic resonance imaging (fMRI) or electroencephalography (EEG). Over two days, attendees will hear about state-of-the-art modeling methods in non-invasive brain stimulation, their combination with imaging methods, and practical applications in clinical science. On behalf of the organization committee, Alexander Opitz and Ivan Alekseichuk Dept of Biomedical Engineering, University of Minnesota

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Tenure Track positions, Bernoulli Insitute, Groningen /NL
by Michael Biehl 10 May '21

10 May '21

If you have a background and strong interest in Machine Learning, Neural Networks, Data Science etc. consider applying (deadline: 16 May) for one of *several Tenure Track Assistant Professorships* *with* *educational profile* at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence: The positions will be devoted to Data Science and Systems Complexity: vacancy text <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> - Human Centred Artificial Intelligence: vacancy text <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> - Machine Learning: vacancy text <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> - Programming Languages and Systems: vacancy text <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> - - Mathematics with a focus on Interdisciplinary Mathematics Education: vacancy text <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Postdoctoral research fellowships, SMQB Birmingham, UK
by Michael Biehl 10 May '21

10 May '21

Applications are invited for three 3-year research fellowships (Centre Fellows) are available within the Centre for Systems Modelling and Quantitative Biomedicine (SMQB), a new strategic activity at the University of Birmingham/UK. Relevant and up to date knowledge in one or more of the following areas: Dynamical Systems, Complex Networks Parameter Inference (including Bayesian Methods) Machine Learning, Neural Networks, Artificial Intelligence Clinical Data Analytics and Visualisation Advanced (Medical) Imaging Diagnostics and Clinical Decision Support Systems For details, see https://www.jobs.ac.uk/job/CFN306/centre-fellow -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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ICMNS 2021 - First announcement
by Etienne Tanré 07 May '21

07 May '21

—— We apologize if you receive multiple postings of this announcement—— We are delighted to announce the 7th International Conference on Mathematical Neuroscience (ICMNS 2021). Owing to the Coronavirus outbreak, the 7th edition will take place in a virtual format, via Zoom, from the 28th of June to the 1st of July 2021, between 15:00 and 18:00 (GMT+2). ICMNS is an interdisciplinary conference series, bringing together theoretical neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. Plenary speakers will be Olivier Faugeras (Inria Sophia Antipolis Méditerranée, France) Krešimir Josić (University of Houston, USA) Kathrin Ohla (HSU, University of the Federal Armed Forces Hamburg, Germany) This year, 3 out of 4 talks will be given by Early Career speakers, and there is an open call for micro-talks, delivered to the whole audience. A broad set of topics will be covered, including: Single cell and network dynamics Mean field and probabilistic descriptions of neural networks Mathematical models of synaptic plasticity Phase-amplitude reduction, and data-driven modelling Mathematical modelling of perception Please visit our website to view the preliminary programme, and subscribe to our mailing list and YouTube channel: https://www.danieleavitabile.com/icmns2021digital/ <https://www.danieleavitabile.com/icmns2021digital/> https://www.youtube.com/channel/UCXClLvVl35uBrYIgN8dOZsw <https://www.youtube.com/channel/UCXClLvVl35uBrYIgN8dOZsw> See you online at ICMNS2021! The Organising Committee Peter Ashwin (University of Exeter, UK) Daniele Avitabile (Vrije Universiteit Amsterdam, The Netherlands) Evelyn Buckwar (Johannes Kepler University, Austria) Grégory Faye (University Paul Sabatier, Toulouse, France) Eva Löcherbach (Université Paris 1, Panthéon Sorbonne, France) Wilhelm Stannat (Technische Universität Berlin, Germany) Etienne Tanré (Inria Sophia Antipolis Méditerranée, France) Peter J. Thomas (Case Western Reserve University, USA)

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Now Open for Applications! Remote Cognitive Science M.Sc.
by mcruz＠uni-osnabrueck.de 07 May '21

07 May '21

Dear all, We’re officially accepting students from all over the world for our new remote and digital program of the Cognitive Science M.Sc. program! Apply now and join us this Winter Semester 2021/22! The Institute of Cognitive Science at Osnabrück University is offering a new digital track of the Cognitive Science M.Sc. program, which is set to start this Winter Semester 2021/22. The DAAD-funded program targets international students who can complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. Visit our website for more details: https://vt.uos.de/cosmos Please do not hesitate to contact us (os-cosmos(a)uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Feel free to forward this to anyone you think would be interested. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

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Excellence PhD opening on integration of astrocytes in the Virtual Brain (Aix-Marseille University)
by Christophe Bernard 06 May '21

06 May '21

We are offering one excellence PhD fellowship (3 years) at Aix-Marseille University within the labs of Christophe Bernard (experimental neuroscience) and Viktor Jirsa (theoretical neuroscience) at Institute of Systems Neuroscience - INS, Marseille. The project has the following objectives: A) Incorporating neuron-glia-blood vessel coupling in the generative models used in The Virtual Brain. B) Constant interplay with partners to improve the model (see below). C) Generating testable predictions to be tested experimentally in the same lab (see below). This project is part of the EU high-level training-by-research consortium “Astrotech" (http://www.astrotechproject.eu/ <https://research.ncl.ac.uk/in2pb/>), federating world-leading european groups working in the development of new technologies to explore astrocyte function in the brain. Becoming PhD within the network will offer unique training and interaction opportunities with other Astrotech members, in addition to the specific research conducted in the host lab. More information is available on the EU site: https://euraxess.ec.europa.eu/jobs/636442 The fellowship comes with a competitive salary (beyond national averages) within the prestigious Marie Skłodowska-Curie Actions scheme and with grant money for participating to training, conferences, buying equipment... In addition to the training providing within the “Astrotech" international program, the candidate will also profit ot the local "Neuroschool" graduate program (https://neuro-marseille.org/ <https://neuro-marseille.org/>) offering high-level training (in English language) in integrative neuroscience, research management and soft skills, within one of the largest neuroscience communities in France. Aix-Marseille University is one of few excellence-labelled universities (IDEX) in France, making of interdisciplinary research one of its main axes. Marseille is a vibrant city with wonderful natural surroundings and high-speed train and flight connections to many large cities in Europe. DEADLINE is 15th Dec 2021 The top-ranked candidates are then going to be interviewed orally and finally selected through a competitive, equal-opportunities procedure. Applying candidates are strongly invited to make a parallel inquiry by writing to us directly, including a CV, the name of two references and any other information that you may wish to share. Contact: christophe.bernard(a)univ-amu.fr Christophe Why you should submit your best science to eNeuro: https://www.eneuro.org/content/overview <https://www.eneuro.org/content/overview> Christophe Bernard INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université Equipe Physionet 27 Bd Jean Moulin 13385 Marseille Cedex 05 France christophe.bernard(a)univ-amu.fr +33 4 91 32 42 49 https://ins-amu.fr/physionet <https://ins-amu.fr/physionet>

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ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2021
by Rava A. da Silveira 05 May '21

05 May '21

*CN**EURO**2021* *Theoretical and Computational Neuroscience Summer School* *14 to 21 August 2021 — Online, hosted by Tsinghua University, Beijing and IOB, Basel* *www.cneuro.net <http://www.cneuro.net>* *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Faculty* Vijay Balasubramanian (University of Pennsylvania) Dmitrii Chklovskii (Flatiron Institute) Julijana Gjorgjieva (MPI for Brain Research) Christian Machens (Champalimaud Center) Kanaka Rajan (Mount Sinai) Eric Shea-Brown (University of Washington) *Organizers* Rava Azeredo da Silveira (ENS) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Please apply by 31 May 2021; details at www.cneuro.net/cneuro2021.

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Phd and Postdoc Positions in Neuromorphic Computing and Software at Forschungzentrum Juelich
by Emre Neftci 05 May '21

05 May '21

The newly created Peter Gruenberg Institute-15 led by Emre Neftci at Forschungzentrum Juelich is excited to offer PhD and Postdoc positions in the area of neuromorphic engineering. We are looking for creative researchers with interest in brain-inspired machine learning and neuromorphic hardware. To see full descriptions and apply, please follow these links: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021D-049-… https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-175-E… Applications are due May 10 and 21 respectively, but we'll continue reading applications until the positions are filled. Please contact me directly for any questions. Emre Neftci -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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Excellent academic resource for junior and senior scholars
by Barbora Wichterlova 04 May '21

04 May '21

Dear All, I would like to share with the community the mentor-mentee platform called Figbox: https://figbox.co/ <https://figbox.co/>. Who is behind figbox? The platform was developed by two postdocs at Yale and Harvard to help Early Career Researchers and PhD students in the field of computational neuroscience, physics, neurobiology, biochemistry, linguistics, physiology and more. Currently there are over 20k mentors and mentees on figbox. What do it actually do? Figbox allows junior scholars to find mentors willing to provide general advice on the following: thesis topics, experimental designs, publication, and more. It also allows junior scholars the ability to receive double-blind reviews of their working papers, sections of their thesis and grants before they officially submit. What do you gain as a mentor? For those who are curious about the benefits of mentoring junior scholars, see: https://figbox.co/benefit/ <https://figbox.co/benefit/> is it free? yes, mentors and mentee can sign up safely and securely using their ORCID account With best regards, BW

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Workshop on Spatial brain dynamics
by Henrik Anders Lindén 04 May '21

04 May '21

Dear colleagues, We are organizing an online workshop on Spatial brain dynamics on May 11-13 that may be of interest to some of you. For details and registration see https://in.ku.dk/seminars-and-events/upcoming-events/workshop-spatial-brain… The meeting is free but registration is required. Confirmed speakers: - György Buzsáki NYU .N.Y. USA - Sonja Grün, Forschungscentrum Jülich, Germany - Kenneth Harris, UCL, London, UK - Jennifer Li & Drew Robson, Max Planck, Tübingen, Germany - David McCormick, University of Oregon, Eugene, OR, USA - Bruce McNaughton, University of California Irvine, CA, USA - Thomas Mrsic-Flogel , Sainsbury Wellcome Center, UK - Carl Petersen, EPFL, Lausanne, Switzerland - Terry Sejnowski, Salk Institute, La Jolla , CA, USA All the best, Per Roland and Henrik Lindén Contact: Per E. Roland Professor of Neurodynamics, M.D., PhD Department of Neuroscience Faculty of Health and Medical Sciences University of Copenhagen per.ebbe.roland(a)sund.ku.dk<mailto:per.ebbe.roland@sund.ku.dk> Henrik Lindén Assistant professor, PhD Department of Neuroscience Faculty of Health and Medical Sciences University of Copenhagen hlinden(a)sund.ku.dk<mailto:hlinden@sund.ku.dk>

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NMA application deadline approaching!
by Gunnar Blohm 03 May '21

03 May '21

Applications for the Neuromatch Academy Computational Neuroscience (NMA-CN) and Deep Learning (NMA-DL) courses are approaching fast. Deadline: *May 7, 2021*! Apply as a student (flexible / waivable fee), or paid teaching assistant ($1,500 USD salary). Fore more details, please see here: https://academy.neuromatch.io/ -- Dr. Gunnar BLOHM Neuroscience Graduate Coordinator Professor in Computational Neuroscience Queen's U, Kingston, ON, 18 Stuart Str, Botterell Hall Rm 229 http://www.compneurosci.com/

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New Book: Models of the Mind: How physics, mathematics, and engineering have shaped our understanding of the brain
by Grace Lindsay 03 May '21

03 May '21

*Models of the Mind: How physics, mathematics, and engineering have shaped our understanding of the brain* by Grace Lindsay Models of the Mind is a popular science book that covers the history and present of computational neuroscience. Each chapter focuses on an individual topic ranging from single neuron models (e.g., leaky integrate-and-fire and Hodgkin-Huxley) through to population models such as the Hopfield Network and onto models of behavior. The book is geared toward a general audience and may be a useful resource for undergraduate courses. More information on the book and how to get it here: https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-enginee… What reviewers have said: "This book is an anthology of the scientific poetry that has illuminated our studies and conceptions of the brain" - Larry Abbott "An engrossing history of science and enlightening guide to neuroscience's current frontiers." - Liam Drew "Grace Lindsay provides a masterful tour of this important frontier, tackling intimidating topics with verve and wit." - Sean Carroll

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Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics
by pokornam 03 May '21

03 May '21

We are looking for new team members to join the COMPLEX NETWORKS AND BRAIN DYNAMICS GROUP to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/ [1]. For more information on the positions please see https://www.cs.cas.cz/job-offer/COBRA-postdoc-positions-Hlinka3/cs Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic [1] Links: ------ [1] http://cobra.cs.cas.cz/

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Bernstein Conference 2021 - Submission of Satellite Workshop Proposals - Deadline approaching on May 10
by Anja Dorrn 03 May '21

03 May '21

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the online Bernstein Conference 2021 ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference will be held online, from Sep 21-23, 2021. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 21, 2021, 2 pm – 10 pm CEST - Main Conference: September 22-23, 2021 - Deadline for Satellite Workshop proposal submission: May 10, 2021 - Notification of workshop acceptance: planned in June 2021 ____ WORKSHOP PROPOSALS Satellite Workshops of the Bernstein Conference provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance gender diversity and variety of career levels into account as their selection criteria. Workshop proposals are welcome as flexible formats of 4-8 hours (all workshops will start at 2 pm CEST, but will end based on individual schedules) Workshop Proposal Forms can be downloaded here: https://bit.ly/BC21_workshops Please submit the completed form to bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> Deadline: May 10, 2021 – not to be extended Workshop organizers and all speakers will receive a waiver for the online conference. ____ WORKSHOP SELECTION COMMITTEE Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) Matthew Botvinick Megan Carey Peter Dayan Brent Doiron Rainer Friedrich Julijana Gjiorgjieva (Program Chair) Ann Hermundstad Christian Machens (Program Vice Chair) Srdjan Ostojic Nathalie Rochefort Nicole Rust Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Research placement positions at Secondmind Labs
by Hrvoje Stojic 01 May '21

01 May '21

Dear all We have just opened five research placement positions at [Secondmind Labs](https://www.secondmind.ai/labs/), based in Cambridge, United Kingdom. The overall area for the placements is Gaussian process models and Bayesian optimisation. The placements are three months long and are typically targeted at PD candidates. More details, including some placement proposals, can be found [here](https://boards.greenhouse.io/secondmind/jobs/5205946002). Note that it is also possible for applicants to propose their own topics for the placement. Kind regards, Hrvoje ----------------------------- Hrvoje Stojic, PhD Web: [https://hstojic.re/](http://hstojic.re/)

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The Algonauts Project 2021 Challenge- How the Human Brain Makes Sense of a World in Motion
by Gemma Roig 30 Apr '21

30 Apr '21

Dear colleagues, We are pleased to announce a new challenge sponsored by The Algonauts Project <http://algonauts.csail.mit.edu/>: How the Human Brain Makes Sense of a World in Motion. We invite you to join us in a competition to develop the best computer model of how the human brain perceives videos of everyday events. Participants who come up with a model that most closely matches recorded brain data will be invited to present their work at a virtual workshop on Sept. 7, 2021 at this year’s Conference on Cognitive Computational Neuroscience (CCN <https://ccneuro.org/2021/>). Submission deadline: Aug. 15, 2021. The Algonauts Project: http://algonauts.csail.mit.edu/ <http://algonauts.csail.mit.edu/> CCN Workshop: How the Human Brain Makes Sense of a World in Motion Sept. 7, 2021 Organizers will summarize the outcome and provide hands-on tutorials. Challenge winners will present the results of their work. We look forward to seeing you at the workshop in September, and we hope you will consider joining the challenge! Best wishes, The Algonauts Project Team Algonauts 2021 Project Team: Radoslaw Cichy, Freie Universität Berlin Aude Oliva, Massachusetts Institute of Technology Gemma Roig, Goethe University Frankfurt Alex Andonian, Massachusetts Institute of Technology Kshitij Dwivedi, Goethe University Frankfurt Monika Graumann, Freie Universität Berlin Polina Iamshchinina, Freie Universität Berlin Kendrick Kay, University of Minnesota Benjamin Lahner, Massachusetts Institute of Technology Alex Lascelles, Massachusetts Institute of Technology N Ratan Murty, Massachusetts Institute of Technology

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Excellence PhD opening on advanced analyses of monkey recordings in parieto-motor cortices (Aix-Marseille University)
by BATTAGLIA Demian 30 Apr '21

30 Apr '21

We are offering one excellence PhD fellowship (3 years) at Aix-Marseille University within the labs of Bjorg Kilavik (experimental electrophysiology; Timone Institute of Neuroscience - INT, Marseille) and Demian Battaglia (computational neuroscience; Institute of Systems Neuroscience - INS, Marseille & University of Strasbourg Institute of Advanced Studies - USIAS). The project will involve the analysis with advanced computational methods (network and activity pattern analyses, machine learning, information theory...) of laminar-specific recordings in parietal and motor cortices of non-human primates. The aim will be to investigate the role of different cortical layers and of their dynamic interactions, mediating the processing and integration of information from bottom-up and top-down sources, in the encoding of motor plans and behaviors. This project corresponds to "ESR1" (https://research.ncl.ac.uk/in2pb/phdprojects/esr1/) within the EU high-level training-by-research consortium "In2PrimateBrains" (https://research.ncl.ac.uk/in2pb/) federating world-leading european groups working in non-human primate neuroscience research. Becoming PhD within the network will offer unique training and interaction opportunities with other In2PrimateBrains members, in addition to the specific research conducted in the host lab. Depending on the profile of the candidate, the PhD project will revolve on the computational analysis side of existing data or may also include the possibility to learn how to acquire new recordings, in a mixed experimental-theoretical project. The fellowship comes with a competitive salary (beyond national averages) within the prestigious Marie Skłodowska-Curie Actions scheme and with grant money for participating to training, conferences, buying equipment... In addition to the training providing within the "In2PrimateBrains" international program, the candidate will also profit ot the local "Neuroschool" graduate program (https://neuro-marseille.org/) offering high-level training (in English language) in integrative neuroscience, research management and soft skills, within one of the largest neuroscience communities in France. Aix-Marseille University is one of few excellence-labelled universities (IDEX) in France, making of interdisciplinary research one of its main axes. Marseille is a vibrant city with wonderful natural surroundings and high-speed train and flight connections to many large cities in Europe. The interesting candidate will file an application through an online form (https://research.ncl.ac.uk/in2pb/phdprojects/) selecting Project "ESR1 - Layer-specific dynamics of parieto-motor networks during visually-guided arm reaching behaviour" as first choice (other projects described on the website can be selected as second and third choice). DEADLINE is 15th May 2021 The top-ranked candidates are then going to be interviewed orally and finally selected through a competitive, equal-opportunities procedure. Applying candidates are strongly invited to make a parallel inquiry by writing to us directly, including a CV, the name of two references and any other information that you may wish to share. Demian Battaglia - demian.battaglia(a)univ-amu.fr Bjorg Kilavik - bjorg.kilavik(a)univ-amu.fr

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Two Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang 30 Apr '21

30 Apr '21

Our lab will be moving to Washington University in St. Louis in July 2021. We are looking for two highly motivated postdoctoral scholars to work on NSF and DoD funded projects. One postdoctoral scholar will use human single-neuron recordings to study the neural circuits underlying social attention, and the other postdoctoral scholar will use multimodal neuroimaging techniques to study social behavior and brain networks in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Individuals with previous human intracranial EEG expertise and/or macaque single-neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. Shuo Wang, Ph.D. Assistant Professor West Virginia University https://wangshuo45.wixsite.com/shuowang

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New Master’s programme Applied Data Science in Göttingen, Germany
by Ecker, Alexander 29 Apr '21

29 Apr '21

*New Master’s program Applied Data Science in Göttingen, Germany* https://uni-goettingen.de/msc/datascience In the upcoming winter term, we are launching the new international Master’s programme Applied Data Science at the University of Göttingen. The study programme is characterised by its interdisciplinary nature. Students holding a Bachelor’s degree in data science, computer science or mathematics are welcome, as well as graduates from other fields. We want to equip students with both in-depth knowledge of the key mathematical, statistical and computer science methods for Data Science as well as to make sure they understand how to use these methods in an application domain. Currently, the following application domains can be chosen: Computational Neuroscience, Bioinformatics, Medical Data Science, and Digital Humanities. The Göttingen Campus features an amazing variety of data-intensive research from natural and life sciences to social science and humanities. It includes top-notch research institutions like five Max Planck Institutes, the German Primate Center and the German Aerospace Center. Göttingen a university town located in the centre of Germany and Europe, in a region known for its green hills, lovely small towns with half-timbered houses and the Harz Mountains. Well-connected through motorways and high-speed trains, it is a great place to discover Germany and Europe. For further information see https://uni-goettingen.de/msc/datascience or the flyer: https://owncloud.gwdg.de/index.php/s/gBeb11Io6mw9XiR

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WWNeurise series on naturalistic behavior & applications/recommendations
by William Podlaski 29 Apr '21

29 Apr '21

WorldWideNeuRise will host several online talks throughout May-June on the topic of naturalistic behavior from the following speakers: Wednesday, 5 May, 5pm CET Asaf Gal (Kronauer Lab, The Rockefeller University, USA) Daniel Knebel (Ayali Lab, Tel Aviv University, Israel) Wednesday, 19 May, 5pm CET Constanze Lenschow (Lima Lab, Champalimaud Research, Portugal) Takashi Yamaguchi (Lin Lab, NYU, USA) Wednesday, 2 June, 5pm CET Ayelet Sarel (Ulanovsky Lab, Weizmann Institute of Science, Israel) Tu Anh Nguyen Thi (el Jundi Lab, University of Wuerzburg, Germany) Wednesday, 16 June, 5pm CET Yael Bitterman (Luethi Lab, Friedrich Miescher Institute, Switzerland) Adam Calhoun (Murthy Lab, Princeton University, USA) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are actively searching for PhD students and postdocs to give talks in our upcoming seminar blocks. On our website (https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Ellen Boven (Apps lab, University of Bristol) Christina Buetfering (Häusser lab, University College London) Lucie Descamps (Kentros lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Clopath lab, Imperial College London) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud Research)

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Open Position for a PhD Candidate at the Donders Centre for Cognition
by Nasir Ahmad 29 Apr '21

29 Apr '21

*Dear Colleagues,* *We invite applicants for a PhD position on 'Bio-inspired learning algorithms for efficient and robust neural network models with a focus on neuromorphic computing and control of complex environments'.* https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=11475… This project is embedded within the European Laboratory for Learning and Intelligent Systems (ELLIS) Unit in Radboud AI. The aim is to develop highly effective algorithms for training artificial neural network models which make use of (biologically plausible) information local to the individual nodes of the network. This locality will allow efficient implementation and testing of these algorithms on neuromorphic computing systems. The efficacy of the algorithms will be tested in the context of relevant reinforcement learning tasks using a control system theoretic approach to interaction with modelled environments. This work entails a theoretical (mathematical) development of state-of-the-art biologically plausible learning rules and reinforcement learning strategies alongside implementation/testing of these algorithms in the form of neuromorphic computing algorithms and agent-based artificial neural network modelling. We offer you a full-time (100%) position for 4 years. This project is supervised by Prof. van Gerven, Dr Nasir Ahmad and Dr. Bodo Rueckauer. You will be employed at the Artificial Intelligence department of the Donders Institute for Brain, Cognition and Behaviour, where you will have the opportunity to collaborate and interact with renowned international experts in machine learning, computational neuroscience and neuromorphic computing. You will also benefit from the extensive training programme of the Donders Graduate School. Additionally, you will have the opportunity to supervise MSc and BSc students in their thesis projects. 10% of your appointment will be devoted to support tasks in the ELLIS unit, such as helping to organise ELLIS activities or (co)supervision of ELLIS-related projects. If you are interested, please follow the link below for more information and instruction on how to apply: https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=11475… The deadline is 16th May 2021. Feel free to email me or Marcel van Gerven ( marcel.vangerven(a)donders.ru.nl) with any questions/thoughts. Best wishes, Nasir Ahmad

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Doctoral positions in experimental and computational neuroscience in Mainz and Frankfurt, Germany
by Matthias Kaschube 29 Apr '21

29 Apr '21

POSITIONS: The groups of Simon Rumpel at the Medical Center of the University of Mainz and Matthias Kaschube at FIAS in Frankfurt, Germany, together have openings for fully funded doctoral positions in experimental and computational neuroscience. The two groups tightly interact on several interdisciplinary joint projects funded by the German Research Foundation (DFG). Research combines behavioral learning assays, chronic imaging of synapses and activity patterns in the auditory cortex of mice, machine learning-assisted image analysis and data analysis, and neural circuit modelling. The overarching goal of these projects is to gain a deeper understanding of the neural underpinnings of adaptive, yet stable behavior by bridging studies of the dynamic connectome, large scale population activity and behavioral learning. The positions are available immediately. LAB ENVIRONMENTS: The experimental work will be carried out at the Medical Center of the Johannes Gutenberg University in Mainz offering methodology for advanced approaches in systems neuroscience including two-photon microscopy and molecular interventions using AAV vector systems (www.unimedizin-mainz.de/agrumpel) The theoretical work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science (https://www.fias.science/en/neuroscience/research-groups/matthias-kaschube/) FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Strüngmann Institute for Neuroscience. The Rhine-Main area including the cities of Frankfurt and Mainz is a vibrant metropolitan area in the heart of Europe and boasts a rich cultural community. Due to the strong interactive nature, mutual short- and long-term visits in both labs will be part of the project. QUALIFICATIONS: This call for applications is geared towards theoreticians as well as experimentalists, and also offers a unique opportunity to all who see themselves in between the two poles. Selection criteria include scientific enthusiasm, strong experimental or quantitative skills and past research accomplishments. Applicants must have received training and a master’s degree or equivalent in a relevant quantitative discipline including biomedicine, biology, computer science or physics. Previous experience in neurobiology is advantageous but not essential. APPLYING: Applicants should email a brief letter of intent, a detailed CV and the names of at least two scientists who can give references (in a single PDF) to Simon Rumpel (sirumpel(a)uni-mainz.de, emphasis on the experimental aspects) or Matthias Kaschube (kaschube(a)fias.uni-frankfurt.de emphasis on the computational aspects). The position is available immediately, and we look forward to reviewing applications as they arrive. Both Mainz University and FIAS are dedicated to building a diverse community in its training and employment programs.

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3 days remaining to submit a "Trainee Talk" for the second Canadian Computational Neuroscience Spotlight
by Scott Rich 28 Apr '21

28 Apr '21

The second edition of the Canadian Computational Neuroscience Spotlight (CCNSv2) is fast approaching, with the meeting taking place this coming May 17-18. We now have a permanent homepage for the meeting at ccnsmeeting.ca where you can see details on our finalized list of speakers and our four fantastic session chairs: Drs. Maurizio De Pitta, Etay Hay, Carmen Canavier, and Bratislav Misic. *There are now three days remaining for trainees (undergrads, grad students, postdocs, and research scientists) to submit an abstract for a "trainee talk" via https://forms.gle/bsbrvZca6F1q62RA6 <https://forms.gle/bsbrvZca6F1q62RA6>*. We anticipate all submissions that reasonably fall under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Talks will either be 8 minutes (with 2 minutes for questions) or 12 minutes (with 3 minutes for questions) depending on the demand. Four submissions that are both the most meritorious and best correspond with the themes of our sessions will be offered a longer, "spotlight" presentation. Please be sure to register for the meeting itself at https://www.crowdcast.io/e/ccnsv2/register if you submit a trainee abstract. Please feel free to spread the news about our meeting to anyone who might be interested as well! We look forward to seeing you at CCNSv2. Sincerely, – Scott Rich, Ph.D. Postdoctoral Research Fellow, Krembil Research Institute – Andreea Diaconescu, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – John Griffiths, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – Milad Lankarany, Ph.D. Scientist, Krembil Research Institute

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Open PhD Position on Machine Learning for Brain Connectivity in Clinical Neuroscience
by Emanuele Olivetti 28 Apr '21

28 Apr '21

We are pleased to announce the opening of one PhD position in neuroinformatics at the International Doctoral School in Cognitive and Brain Sciences (CIMeC) of the University of Trento, Italy. The PhD Grant is funded by the Neuroinformatics Laboratory (NILab) of Fondazione Bruno Kessler (FBK). The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. Neuroimaging methods, like structural, functional, and diffusion magnetic resonance imaging (MRI), can be used to investigate the anatomical and functional connectivity of the brain. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 4 year PhD program (Nov. 1, 2020- Oct. 31, 2024). Courses are in English. The salary is starting at approximately €1.200/mo., net. An additional personal budget of around €5.000 is provided for research and mobility. The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). Why choose Trento? ( http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento) Important dates: Deadline for application: 25 May 2021 Evaluation interview: 28 June 2021 Beginning of PhD program: 1 November 2021 Apply now: https://www.unitn.it/en/ateneo/1942/announcement-of-selection https://www.unitn.it/drcimec/105/2021-topic-specific-grants-and-descriptions You are kindly invited to contact in advance Emanuele Olivetti ( olivetti(a)fbk.eu) and Paolo Avesani (paolo.avesani(a)unitn.it) Recent related publications: - Giulia Bertò, Daniel Bullock, Pietro Astolfi, Soichi Hayashi, Luca Zigiotto, Luciano Annicchiarico, Francesco Corsini, Alessandro De Benedictis, Silvio Sarubbo, Franco Pestilli, Paolo Avesani, Emanuele Olivetti, "Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation", Neuroimage, 2021, https://doi.org/10.1016/j.neuroimage.2020.117402 - Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti, "Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy", Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (MLCN 2020), https://doi.org/10.1007/978-3-030-66843-3_2 - Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani, "Tractogram filtering of anatomically non-plausible fibers with geometric deep learning", Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), https://doi.org/10.1007/978-3-030-59728-3_29 -- Emanuele Olivetti, Ph.D. Senior Research Scientist at Bruno Kessler Foundation (FBK-ICT) NeuroInformatics Laboratory (NILab) http://nilab.fbk.eu Center for Mind and Brain Sciences (CIMeC), University of Trento Via delle Regole 101 - 38123 Mattarello (Trento), ITALY olivetti(a)fbk.eu - +39 0461314179 emanuele.olivetti(a)unitn.it - +39 0461282760 -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Open positions in the Vogels Lab
by Tim Vogels 27 Apr '21

27 Apr '21

Dear Colleagues, the Vogels lab has two open postdoctoral positions. TL;DR, if you liked our last NeurIPS paper https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1 <https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1> and you think you can contribute and imagine, oh, the places we’ll go from here,…from one of the most liveable cities in the world, … DO apply. — We are looking for at least two scientists to join the vogelslab.org as postdocs at the @ISTAustria near Vienna. The successful candidate will join an ongoing ERC funded project to discover families of spike-induced synaptic plasticity rules by way of numerical derivation. Together, we will define and explore search spaces of biologically plausible plasticity rules expressed e.g., as polynomial expansions or multi layer perceptrons. We aim to compare the results to various experimental and theoretical data sets, including functional spiking network models, human stem-cell derived neural network cultures, in vitro and in vivo experimental data. We are looking for someone who can expand and develop our multipurpose modular library dedicated to optimization of non-differentiable systems. Due to the modularity of the library, the candidate will have extensive freedom regarding which optimization techniques to use and what to learn in which systems, but being a team player will be a crucial skill. A conceivably successful candidate will have a strong expertise in numerical simulations, and specifically spiking neuron models, and some knowledge in the field of synaptic plasticity. A strong background in applied maths, especially in numerical optimization would be desirable. Some of the questions we ponder: How to express high dimensional rules in However, we can hire more than one person, and we would also be interested in someone who can contribute to design, implementation and maintenance of a library dedicated to performing numerical optimization in non-differentiable systems on large scales. We are thinking about how to simulate spiking neural networks with complex, unsupervised and supervised plasticity rules efficiently, in parallel, on a cluster. Depending on your (flexible, possibly immediate) starting date we can offer up to 4-year contracts with competitive salaries, benefits, vacation time and ample budget for materials and travel in a tranquil and inspiring environment. The Vogelslab, and the IST Austria is located in Klosterneuburg, a historic city northwest of Vienna. The campus is located in the middle of the beautiful landscape of the Vienna Woods, 30 minutes from downtown Vienna, the capital of Austria that consistently scores in the top cities of the world for its high standard of living. If you are interested, send an email with your application to Jessica . deAntoni [at] ist.ac.at. Your application should include your CV, your most relevant publication, contact information for 2 or more references, and a cover letter with a short description of you & your career, and a brief discussion of what you think is the greatest weakness of the above mentioned NeurIPS paper (and maybe how you would go about fixing it). We are looking to build a diverse and interesting environment, so if you bring any qualities that make our lab (and computational neuroscience at large) more diverse than it is right now, please consider applying. We will begin to evaluate applications at the end of April and aim to get back to you with a decision within 5 weeks of your application. We are also looking for people with a strong background in maths and machine learning, and an intense interest in neuroscience. Specifically, we will focus on (GABAergic, <http://www.neurotheory.ox.ac.uk/~timv/pub/VogelsScience2011.pdf> codependent <http://www.neurotheory.ox.ac.uk/~timv/pub/Hennequin2017.pdf>, and machine-learning inspired <https://fzenke.net/wp-content/uploads/2018/03/ZenkeGanguli2018_SuperSpike.p…>) synaptic plasticity, and modulated <https://www.nature.com/articles/s41593-018-0276-0> neural network dynamics. <http://www.neurotheory.ox.ac.uk/~timv/pub/HennequinNeuron2014.pdf> Finally, we are keen to hear from women and members of underrepresented groups in neuroscience. Please email me with any questions or thoughts. Best wishes, Tim Vogels --- Professor Neurotheory IST Austria vogelslab.org +43 2243 9000 2170

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Post-doc in the Neurophysiology of Attention & Decision Making at UCLA
by Bisley, James 26 Apr '21

26 Apr '21

Apologies for cross-posting We invite applications for a post-doc position studying the interactions of attention and decision making in parietal cortex. The work will include recording from cortical areas MT and LIP while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at https://www.ncbi.nlm.nih.gov/myncbi/james.bisley.2/bibliography/public/. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Postdoc position on causal explanations in reinforcement learning at the University of Vienna
by Moritz Grosse-Wentrup 26 Apr '21

26 Apr '21

We have an opening for a postdoc position in the Research Group Neuroinformatics at the University of Vienna [1]. The position is funded by the CHIST-ERA project CausalXRL - Causal eXplanations in Reinforcement Learning [2]. The project aims to equip reinforcement learning agents with causal structure learning and reasoning abilities, enabling them to explore their environment more efficiently and justify their actions, e.g., in medical decision support. All work will be done in close collaboration with partners at the University of Sheffield and Inria Lille. The position is available for three years, with an earliest (but reasonably flexible) starting date on July 1st. Salary is according to the Collective Bargaining Agreement for university staff at the University of Vienna (job group B1 100% [3]). Our ideal candidate would have * a background in computer science or mathematics, * recently finished their Ph.D. on reinforcement learning or causality, * published first-author papers at internationally recognized machine learning conferences (e.g., NeurIPS, ICML, UAI, ECML) or in prominent journals. We will consider all applicants with a strong track record in machine learning or artificial intelligence. We strive to be a heterogeneous research team and particularly welcome applications by women, transgender and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. Your application should include a cover letter, a CV, relevant transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. We will begin screening applications on May 17th. Applications will be considered until the position is filled. Our offices are in downtown Vienna, which has been ranked the most liveable city globally for two years in a row [4]. The University of Vienna is one of Europe's largest universities (with >90k students) and has a vibrant research community. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at! 1. https://ni.cs.univie.ac.at/ 2. https://www.chistera.eu/projects/causalxrl 3. https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch… 4. https://www.eiu.com/topic/liveability -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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FINAL call to register for neuroscience workshops!
by Mary 26 Apr '21

26 Apr '21

With just 2 weeks to go, this is the final call for participants to register for upcoming neuroscience online courses, organized by ScienceBeam Academy, as described below: 1) “Deep Dive into Event Related Potentials (ERPs) Technique” Online Course Prospective overview of the sessions: 1. Basics of EEG signal and EEG recordings ➢ Overview of the theory behind neural signals (History) ➢ Generation and Propagation of ERP and EEG ➢ Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.) ➢ 10/20 Electrode System, Reference, Montages, Impedance, etc. ➢ Brain Rhythms and Cognition (Based on Clinical and Research Studies) 2. Basics of ERP Components ➢ ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.) ➢ Difference Wave, Forward-Inverse Problem ➢ Challenges in ERP Source Localization ➢ Peaks and Components 3. EEG-ERP Prepossessing with Various Preprocessing Pipelines ➢ Basic Principles and Challenges ➢ Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc. ➢ Pipelines: MAKATO, HAPPE, BEAP and etc. 4. Experimental Design ➢ Principles of Experimental design for ERP in Clinical and Research Settings ➢ Significance of Measurement Window ➢ Common Design Problems and Solutions ➢ Case Studies on research articles with good and bad design 5. Basic Analysis ➢ Quantifying ERP Amplitudes and Latencies ➢ Introduction to the Analysis tool boxes (EEGLAB, ERPLAB) ➢ FFT, Time Frequency Analysis 6. Common Mistakes (in lack of parameters) ➢ Overlapping ➢ Filtering ➢ Epoching ➢ Baseline Correction ➢ Measurement Window • Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience • Course Length: 7-sessions online course • Introductory webinar: https://sciencebeam.com/erplab-webinar/ • Registration: https://sciencebeam.com/pragati-gupta-course/ o Deadline: May 5, 2021 2) “Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue” Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data. Prospective overview of the sessions: 1. Session 1: ➢ Systems and complex system in neurosciences ➢ Origins of electrophysiological signals and measurements ➢ Electrophysiology and relevant features for computational modeling: o Membrane potential o Raster plot o Local field potential 2. Session 2: ➢ Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ➢ Introduction to dynamical systems for neurosciences: o Differential equations o Phase space representation o Stability and domain of attraction ➢ Unidimensional and bidimensional models o Dynamics of integrate-and-fire models o Repertoire of 2 D models o Reduction of Hodgkin-Huxley model 3. Session 3: ➢ 2D and Higher dimensions models: o Particular role of the reset o Possibility of chaos ➢ Models of synapses ➢ Limits of models: o Biophysical and mechanistic description o Phenomenology ➢ Introduction to the first lab session (with Brian2 simulator) 4. Session 4: ➢ First Lab Session: o Repertoire of electrophysiological patterns o Models of networks o Global measure on simulations 5. Session 5: ➢ Second lab session: o analysis of the results o relations to the data ➢ Conclusive discussion • Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France • Course Length: 5-sessions hands-on online course • Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ • Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activit… o Deadline: May 20, 2021 If you require any further information, feel free to contact us: workshop(a)sciencebeam.com

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EBRAINS Training on Model Validation (May 4 - 7) - Extended Deadline
by Shailesh Appukuttan 26 Apr '21

26 Apr '21

*EBRAINS Training on Model Validation* *4–7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. For a quick overview of the EBRAINS Model Validation Framework, check this short video: *https://www.youtube.com/watch?v=AEq-McLHxD4 <https://www.youtube.com/watch?v=AEq-McLHxD4>* There are two parts to the workshop: - *Part 1: **May 4th, 5th* *talks, demos, hands-on tutorials* Deadline for application: *30 April (Friday) 2021* - *Part 2 (optional): **May 6th, 7th* *working on own projects* Deadline for application: *28 April (Wednesday) 2021* *Registration is free of charge for everyone. Visit:* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ Applicants are allowed to register for only Part (1), in which case they are not required to submit the abstract (mentioned below). *Call for Submissions (for Part 2):* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: • A short description of your model • Simulators/tools used for developing and simulating models • Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data • If you have already some questions or comments, you are welcome to mention them • If your model is already published, please include references at the end of the abstract Please send your abstract latest until *30 April 2021 (Friday), 5pm (CET)* to training-support(a)humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support(a)humanbrainproject.eu Cheers, Shailesh Appukuttan

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Fully funded PhD Position Panzeri Lab- Computational approaches to study the neural code
by Stefano Panzeri 25 Apr '21

25 Apr '21

*Fully funded PhD Position Panzeri Lab - Computational approaches to study the neural code* I am seeking candidates for a PhD position fully funded (including a full stipend) for 4 years in my laboratory. The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey (Harvard Medical School), Tobias Donner (UKE), Tommaso Fellin (IIT), Mathew Diamond (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT), Alessandro Gozzi (IIT), Mike Lombardo (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 21th 2021*, but quite a bit of paperwork is needed. Thus, interested candidates are invited to contact me informally by email (*stefano.panzeri(a)gmail.com <stefano.panzeri(a)gmail.com>*) *as soon as possible,* by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest and to discuss the details of the formal application process. For recent representative publications please see: Runyan, C.A., Piasini, E., Panzeri, S., and Harvey, C.D. (2017). Distinct timescales of population coding across cortex. *Nature* 548, 92-96. Panzeri S., Harvey, C.D. Piasini, E., Latham, P.E. , Fellin, T. (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 G. Pica, E. Piasini, H. Safaai, C.A. Runyan, M.E. Diamond, T. Fellin, C. Kayser, C.D. Harvey, S. Panzeri, (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems* (NIPS) 30, 2017, available online H. Safaai, A. Onken, C.D. Harvey, S. Panzeri (2018) Information estimation using nonparametric copulas. *Phys. Rev. E* 98, 053302 E. Chong, M. Moroni, S. Shoham, S. Panzeri, D. Rinberg (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. S. Pashkovski, G. Iurilli, D. Brann, D. Chicharro, K. Drummey, K. Franks, S. Panzeri, S.R. Datta (2020). Structure and flexibility in cortical representations of odour space. *Nature*: 583: 253-258 doi: https://doi.org/10.1038/s41586-020-2451-1 J-F Patri, A. Cavallo, K. Pullar, M. Soriano, M. Valente, A. Koul, A. Avenanti, S. Panzeri*, C. Becchio* (2020) Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action. *Current Biology* 30: 4594-4605 https://doi.org/10.1016/j.cub.2020.08.104 S. Trakoshis, P. Martínez-Cañada, … A. Gozzi, S. Panzeri, and M.V. Lombardo (2020) Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLIFE 9: e55684. doi.org/10.7554/eLife.55684 D. Ferro, J. van Kempen, M. Boyd, S. Panzeri*, A. Thiele* (2021) Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. *PNAS* 118 (12), e2022097118, doi.org/10.1073/pnas.2022097118 Valente, A., Pica, G., Bondanelli, G., Moroni, M., Runyan, C.A., Morcos, A., Harvey, C.D., and Panzeri, S. (2021). Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, in press, early preprint available at: https://t.co/QJ3aHlTFad Stefano Panzeri

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NIH BRAIN postdoc: Computational neuroscience, machine learning & vision
by Michael Beyeler 23 Apr '21

23 Apr '21

Assistant Professor Michael Beyeler and his Bionic Vision Lab ( https://bionicvisionlab.org) at the University of California, Santa Barbara (UCSB) invite applications for a fully funded postdoctoral position at the intersection of computational neuroscience and machine learning. Funded by the NIH BRAIN Initiative, the goal of this project is to determine how the mouse brain extracts relevant visual features from the rich, dynamic visual input that typifies active exploration, and to investigate how the neural representations of these features can support visual navigation. Under the guidance of Michael Beyeler, and in consultation with Bing Brunton (University of Washington), the role of the candidate is to perform data-driven statistical analyses and develop (deep) predictive models of brain activity based on visual input and several behavioral variables. The data includes one-of-a-kind measures of neural activity in mice navigating through real-world and virtual environments, collected using 2-photon imaging and electrophysiology by our collaborators Spencer Smith (UCSB), Michael Goard (UCSB), and Cris Niell (University of Oregon). This is an opportunity to work on an impactful real-world problem within a highly interdisciplinary and collaborative environment. The successful candidate should have a strong quantitative background with a PhD in computer science, computational neuroscience, cognitive sciences, statistics, or a closely related field. To work effectively in this highly collaborative environment, superior communication, language, and writing skills are required. Expertise in programming and statistical analysis is required as well; previous background in vision, neuroscience or deep learning would be highly beneficial. Candidates should send their CV, expected date of availability, and contact information for 2-3 references to Michael Beyeler (mbeyeler(a)ucsb.edu) Further information: - Position Title: Postdoctoral Fellow - Job Duration: 2 years, full-time - Start Date: asap / negotiable - Required Travel: 0-10% (possibility of interning with our collaborators) -- Michael Beyeler Assistant Professor Department of Computer Science Department of Psychological & Brain Sciences University of California, Santa Barbara bionicvisionlab.org

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SCGB Global Postdoc/Student Meeting: Tuesday, April 27th by C. Ann Duan
by Laura Long 22 Apr '21

22 Apr '21

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at this month's Global meeting! Please see event details and Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146… Tuesday, April 27th, 9am Eastern Time https://simonsfoundation.zoom.us/j/93633603374?pwd=LytrcVp6MWlPY1dkb2UvbUJW… Passcode: 989252 C. Ann Duan SCGB Postdoctoral Fellow, Chinese Academy of Sciences Incoming Group Leader, Sainsbury Wellcome Centre *Cortical and collicular contributions to decision making in rats and mice* A central goal of behavioral neuroscience is to expose general principles of neural computation that give rise to cognition. Until recently, cognitive functions were thought to mainly rely on cortical areas such as the frontal cortex, while “old” subcortical areas, such as the midbrain superior colliculus (SC), have mostly been associated with sensorimotor processing. Based on these earlier work, we expected the SC to be passively inhibited while animals avoided unwanted reflexive actions. We were surprised to find that the SC played an active and pivotal role in suppressing context-inappropriate behaviors. Since then, my research has focused on understanding how the SC, in coordination with cortex, implements flexible decision making. My talk will cover work in two different decision-making tasks: flexible sensorimotor routing in freely-moving rats and motor planning in head-fixed mice. Using electrophysiology, optogenetics, pathway-specific two-photon calcium imaging, and computational modeling, we found that the SC is particularly important during the memory period in both tasks, when the context information or motor planning signals need to be maintained in the brain in the absence of sensory input and motor output. The participation of SC seems to increase as cognitive demand increases in both behaviors. Together, our experimental and computational work reveal the SC as a key node in the distributed cortico-subcortical network underlying flexible behaviors, and make surprising predictions for how decision making is implemented in brain circuits. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

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Postdoc / Research Fellow positions - Prague, Czech Republic - Institute of Computer Science CAS
by pokornam 22 Apr '21

22 Apr '21

POSTDOC / RESEARCH FELLOW POSITION IN BRAIN SIGNAL PROCESSING: VISUAL INFORMATION FLOWS is available to join the Complex Networks and Brain Dynamics group [1] for the project: "Timing of the spatial scene processing in the dorsal and ventral visual stream of the human brain" funded by the Czech Science Foundation. More information and application at: HTTPS://WWW.CS.CAS.CZ/JOB-OFFER/IEEG-POSTDOC-POSITIONS-HLINKA2/EN ___ POSTDOC /RESEARCH FELLOW POSITION IN COMPLEX NETWORK ANALYSIS: CRITICAL EVENTS DETECTION is available to join the Complex Networks and Brain Dynamics group [1] for the project: “MODELLING AND ANALYSIS OF COMPLEX SYSTEMS FOR SAFETY OF CRITICAL INFRASTRUCTURES“ as part of the National Center of Competence - Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. More information and application at: HTTPS://WWW.CS.CAS.CZ/JOB-OFFER/NCK-POSTDOC-POSITIONS-HLINKA1/EN Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Links: ------ [1] http://cobra.cs.cas.cz/

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12 PhD fellowships in Neuroscience at Unipd
by Samir Suweis 22 Apr '21

22 Apr '21

The Padova Neuroscience Center (http://pnc.unipd.it/ <http://pnc.unipd.it/>) is delighted to announce its second call for at least 12 fully funded PhD fellowships in Neuroscience at the University of Padova. The multidisciplinary PhD program includes research lines and methods from Multimodal Imaging, Molecular-Cellular-System, Cognitive-Affective-Behavioral, Translational-Clinical and Computational Neuroscience. The time-frame for the application is 8th of April-12th of May 2021 (at 1 pm). The details for the application are published at http://pnc.unipd.it/admission/ <http://pnc.unipd.it/admission/>. Interested candidates can also contact us (pnc.generalinfo(a)gmail.com <mailto:pnc.generalinfo@gmail.com>) for further information. Please forward this message to collaborators and students. Thanks **** Padova University <https://www.youtube.com/watch?v=z6ksrtGO-aI> is one of the oldest and most prestigious universities in Europe - established in 1222. The University of Padova invests significantly in research activities and projects. Padova, is a small and beautiful town, shaped around the University <https://www.youtube.com/watch?v=fHz98-ERwTs&t=243s>. Low living costs, great food, and you can bike everywhere! Samir Suweis, Ph.D. - - - - - - - - Assistant Professor, LIPh Lab - www.liphlab.com <http://www.liphlab.com/>, Physics & Astronomy Dept. Padova Neuroscience Center University of Padova Tel: +39 049 827 71 74 @SamirSuweis https://suweis.github.io/ <https://suweis.github.io/> Why don't you join the next generation publishing experiment with "Peer Community In" - publish and read at no cost and inject more money into research! Check us out @ https://peercommunityin.org <https://peercommunityin.org/> https://youtu.be/4PZhpnc8wwo <https://youtu.be/4PZhpnc8wwo> @PeerCommunityIn

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FENS Regional Meeting 2021 - August 25-27 - ONLINE
by Michał Zaręba 21 Apr '21

21 Apr '21

*On behalf of my colleagues, I would like to invite you to participate in this year's FENS Regional Meeting (FRM), which takes place online on August 25-27, 2021. Abstracts can be submitted until May 10.* The FRM 2021 <https://fensfrm2021.pl/en> is organized jointly by the Polish Neuroscience Society (PNS) and the Lithuanian Neuroscience Association (LNA) under the auspices and with support from the Federation of the European Neuroscience Societies (FENS), and also with support from the International Brain Research Organization Pan-Europe Regional Committee (IBRO PERC). The FRM 2021 original city venue was Krakow, however, due to the COVID-19 pandemic, the Organizing Committee decided to hold the event on-line to ensure all attendees may meet safely. The conference will present the latest developments in neuroscience research and host panel discussions on topics ranging from directions for future development to diversity issues in the academia. The presidential and keynotes lecture of the meeting will be given by: - *Wolfram Schultz *(University of Cambridge, United Kingdom) - *Fiona Doetsch *(University of Basel, Switzerland) - *Virginijus Šikšnys* (Vilnius University, Lithuania) - *Naomi Anne Fineberg* (University of Hertfordshire, United Kingdom) - *Jürgen Knoblich* (Institute of Molecular Biotechnology OAW, Vienna, Austria) - *Riita Hari* (Aalto University, Helsinki, Finnland) - *Arturas Petronis *(Centre for Addiction and Mental Health, Toronto, Canada) - *Amita Sehgal *(University of Pennsylvania, Philadelphia, USA) - *Gábor Nyiri *(Hungarian Academy of Sciences, Budapest, Hungary) More information regarding the conference can be found on the website. <https://fensfrm2021.pl/en>

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postdoc on psychophysics and modelling of perceptual inference (CRM, Barcelona)
by Alexandre Hyafil 21 Apr '21

21 Apr '21

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the *Center for Research in Mathematics (CRM),* Barcelona, Spain ( http://www.crm.cat/research-group/5/computational-neuroscience/ <http://www.crm.cat/en/Research/ResearchGroups/Neuroscience/Pages/default.as…>). The project will combine modelling and psychophysics (possibly neuroimaging) to study the computational mechanisms underlying human perception. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city (should the pandemics permit). Our lab forms part of a larger interacting network of neuroscience labs in Barcelona ( http://www.barccsyn.org) Candidates should have a PhD in computational neuroscience, cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued. Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years. *APPLICATION:* Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil(a)gmail.com. Informal enquiries are welcome. *DEADLINE:* until the position is filled

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Postdoctoral associate positions in Decision Neuroscience and/or Computational Psychiatry (Virginia Tech)
by Pearl Chiu 20 Apr '21

20 Apr '21

Dear All, We are seeking talented postdocs at Virginia Tech! Please see the description below for more information. Apologies for cross-posting; please feel free to distribute broadly. Thanks for considering, Pearl --- Postdoctoral Associate Positions in Decision Neuroscience and/or Computational Psychiatry Fralin Biomedical Research Institute at Virginia Tech Carilion Roanoke, Virginia Multiple openings are available immediately in the labs of Dr. Pearl Chiu and Dr. Brooks King-Casas at the Fralin Biomedical Research Institute at Virginia Tech Carilion (http://research.vtc.vt.edu/) Projects in the labs use a variety of human neuroscience methods (fMRI, electrochemistry, MEG) to examine motivated behavior and social influences on decision-making with additional methods adapted from behavioral & computational neuroscience, experimental economics, computational psychiatry, and psychology. Ongoing projects focus on processes in individuals with and without psychopathology. Qualified candidates with basic science backgrounds are welcome, and training in applied science will be provided; a subset of projects also involve multi-dimensional biomarker development. For interested candidates, the labs provide plentiful opportunities to examine how neurobehavioral anomalies may be quantified and rehabilitated in depression, substance dependence, post-traumatic stress, personality disorders, and at-risk adolescents. The labs are located in the Fralin Biomedical Research Institute at Virginia Tech Carilion in Roanoke, VA, just off the Blue Ridge Parkway. The FBRI provides full access to outstanding infrastructure, including three research-dedicated Siemens 3T scanners and a high-throughput computing cluster. The successful candidate will play a lead role in highly collaborative multidisciplinary scientific efforts. Minimum requirements for the position include: 1) a PhD in computational or cognitive neuroscience, engineering, psychology, experimental economics, or a related field; 2) facility with computational neuroscience, signal processing, Bayesian inference, or machine learning; and 3) demonstrated potential for excellence. Please forward a statement of interest and CV. Three letters of recommendation will be required of candidates under final consideration. Consideration of applications will begin immediately and will end when the positions are filled. Salary is competitive and will be commensurate with experience and qualifications. Virginia Tech Carilion is an Affirmative Action/Equal Opportunity employer and is committed to cultural diversity and compliance with the Americans with Disabilities Act. Send inquiries and materials to: Pearl Chiu, PhD and Brooks King-Casas, PhD chiup(a)vtc.vt.edu and bkcasas(a)vtc.vt.edu -- Pearl Chiu, PhD Associate Professor Fralin Biomedical Research Institute at Virginia Tech Carilion Department of Psychology, Virginia Tech VTC School of Medicine Salem VA Medical Center 2 Riverside Circle, R1110 Roanoke VA 24016 +1 540-526-2019 chiup(a)vtc.vt.edu

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CFP Frontiers Research Topic: Affective Shared Perception
by Pablo Vinicius Alves De Barros 20 Apr '21

20 Apr '21

Call For Papers - Frontiers Research Topic: Affective Shared Perception I. Aim and Scope Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction. Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models. We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system. II. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception III. Submission - Abstract - 24 October 2020 - Paper Submission - 21 February 2021 IV. Guest Editors Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy Ginevra Castellano, Uppsala University, Uppsala, Sweden Yukie Nagai, The University of Tokyo, Bunkyō, Japan ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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2 postdoc positions in new SPIKEFERENCE project at AI department Donders Institute
by Justus H?botter 20 Apr '21

20 Apr '21

The AI department at the Donders Institute has two postdoc positions available for the new SPIKEFERENCE project. The application deadline is 9 May 2021. The SPIKEFERENCE project, co-funded by the Human Brain Project (HBP), aims to control industrial robots with neuroscience-inspired algorithms providing adaptation and conditional hierarchical problem-solving. You will work in close collaboration with the supervisors (Pablo Lanillos, Serge Thill and Marcel van Gerven), other postdocs and a PhD student. You will join an exciting and vibrant young team of experts in ML, AI and neuromorphic computing, and profit from the newly created ELLIS unit in Nijmegen and the HBP community. Postdoc 1. Deep Learning profile - https://solliciteren.ru.nl/cgi-bin/share/og_pxs.pl?target=LI&recid=1148428 This postdoctoral researcher position is framed in a new promising line of research within neuroscience-inspired artificial intelligence linked to adaptation and improvisation. Starting from our current deep active inference models, you will develop novel algorithms for robot perception and action by combining ideas from state representation learning, variational inference and functional models of the brain. Postdoc 2. SpikingNN robot control profile - https://solliciteren.ru.nl/cgi-bin/share/og_pxs.pl?target=LI&recid=1148452 This postdoctoral researcher position will develop SNN models for robot control, inspired by our current deep active inference algorithms and SNN controllers, assess and validate them against current predictive coding SNNs models, and demonstrate the networks on the Neurorobotics platform, from a simple proof of concept in basic environments to initial control of a UR5e. Do you want to shape the future of robot AI? Join Us. Soon the SPIKEFERENCE website will be available with more info. The project will have two amazing external advisors: Karl Friston and Chris Eliasmith Link to the recently awarded project: https://www.ru.nl/donders/news/news/@1309322/ai-scientists-join-human-brain… Pablo Lanillos, Serge Thill, Marcel van Gerven. Dr. Pablo Lanillos www.therobotdecision.com<http://www.therobotdecision.com> Assistant professor in Cognitive Artificial Intelligence | AI Robotics Lab ELLIS Nijmegen Unit Donders Institute for Brain, Cognition and Behaviour, the Netherlands p.lanillos @ donders.ru.nl

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Announcing Neuromatch Academy courses for 2021!
by Mohamed Abdelhack 19 Apr '21

19 Apr '21

Dear colleagues, We are excited to announce that Neuromatch Academy (NMA) will offer two courses this year: NMA-Computational Neuroscience: July 5-23, 2021 Content: https://github.com/NeuromatchAcademy/course-content NMA-Deep Learning: Aug 2-20, 2021 Content: https://github.com/NeuromatchAcademy/course-content-dl Applications for interactive students and teaching assistants will be open April 15 to May 7th 2021. Faculty interested in being project mentors can use the same portal to apply. Application Portal: https://portal.neuromatchacademy.org/ What is Neuromatch Academy? Neuromatch Academy (NMA) launched last year as a response to the COVID-19 pandemic. Our aimis to provide globally-accessible, high-quality, TA-supported training in computational techniques related to neuroscience. In 2020, NMA designed and ran a fully online 3-week Computational Neuroscience course for 1757 students with 191 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility. What’s in a course? Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. We have two tracks for students: interactive and observer. Accepted interactive students are placed into TA-led pods (groups) using the neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Interactive students receive personalized support as they work through hands-on tutorials and collaborate on course projects. Officially registered observer track students have full access to the materials, access to NMA course communications (e.g., Discord), and can choose to be matched with other observer track students What does it cost? We charge full-time students/academics a region adjusted small fee for the Interactive track in order to pay for TAs (fee waivers are available to those who need it, no questions asked). Students without an academic affiliation (i.e., industry applicants) are charged the full unsubsidized cost of the school, but can also inquire about waivers. Observer track participants have access to all the content at no cost, but are not placed in TA-led pods. Please see the website (https://academy.neuromatch.io/) for additional information, pre-course resources and volunteer opportunities! Warm Regards, Neuromatch Academy team Follow [@neuromatch](https://twitter.com/neuromatch) on twitter for regular updates!

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Announcing "Bernstein SmartSteps - Featuring Early Career Scientists"
by Anja Dorrn 16 Apr '21

16 Apr '21

The Bernstein SmartSteps<https://www.bernstein-network.de/en/the-network/bernstein-smartsteps/aboutB…> series provides a unique platform for selected Early Career Scientists of the Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/en> to present their research projects to the scientific community. Once a month, starting in April 2021, one PhD candidate and one Postdoc who are ready to take their next (smart) step for their scientific career will discuss their research in an online seminar. Join the Bernstein SmartSteps Series as an audience if you are interested in cutting-edge computational neuroscience and want to watch out for new talents in the field. The live talks will be held in Zoom. A recording will be published in a separate collection on the Bernstein Vimeo Channel. Please register here<https://bit.ly/3e43j5s>, if you would like to join for the live talks. A link to the event in Zoom will be sent shortly before via email. Spring Talks 2021<https://bit.ly/BeSmSt> Thursday, April 29, 4 pm CEST * Gily Ginosar (Ulanovsky lab) | Weizmann Institut, Rehovot, Israel Locally-ordered representation of 3D space in the entorhinal cortex * Friedrich Schuessler (Barak lab) | Technion, Haifa, Israel Recurrent network dynamics lead to interference in sequential learning Thursday, May 20, 4 pm CEST * Claire Meissner-Bernard (Friedrich lab) | Friedrich Miescher Institut, Basel, Schweiz Co-tuned, balanced excitation and inhibition in olfactory memory networks * Samuel Eckmann (Gjorgjieva lab) | Max Planck Institut für Hirnforschung, Frankfurt, Deutschland A theory for Hebbian learning in recurrent E-I networks Thursday, June 10, 4 pm CEST * Paul Pfeiffer (Schreiber lab) | Humboldt Universität zu Berlin, Deutschland Capacitance clamp - artificial capacitance in biological neurons via dynamic clamp * Willem Wybo (Morrison lab) | Forschungszentrum Jülich, Deutschland Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CALL FOR WORKSHOPS AND TUTORIALS - 30th Annual Computational Neuroscience Meeting (CNS*2021)
by Martin Zapotocky 16 Apr '21

16 Apr '21

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Workshops and Tutorials**at the 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2021 Meeting <https://www.cnsorg.org/cns-2021-online>. This is an excellent opportunity to reach the large online audience participating in this meeting (with over 1,000 attendees the previous year). Registration for tutorials and workshops is included in the main meeting registration. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org <mailto:workshops@cnsorg.org> or tutorials(a)cnsorg.org <mailto:tutorials@cnsorg.org>. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2021-call-for-workshops <https://www.cnsorg.org/cns-2021-call-for-workshops> Priority Deadline for proposals: *May 15* Jorge Mejias, Workshops Chair for CNS*2021 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2021-call-for-tutorials <https://www.cnsorg.org/cns-2021-call-for-tutorials> Deadline for proposals: *May 15* Anca Doloc-Mihu, Tutorials Chair for CNS*2021 -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Postdoc position available in PET/MRI at MGH, Harvard Medical School
by Wey, Hsiao-Ying 15 Apr '21

15 Apr '21

Research Fellow in Simultaneous PET/MR Neuroimaging Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School We are seeking two postdoctoral fellows to join our team to pursue research in simultaneous PET/MR imaging in neuroscience applications. Our research focuses on developing and applying novel PET/MRI methods to investigate the neurochemical underpinnings of psychiatric and neurological disorders. We have projects and training opportunities in the following area: (1) Quantify neuroreceptor dynamics and function with pharmacological challenges in animal models and human subjects, with applications in pain, addiction, and psychiatric disorders; (2) Assess the impacts of neurovascular coupling on PET radiotracer kinetics, with applications in neurodegenerative disorders; and (3) Develop and evaluate novel PET radiotracers for first-in-human study and clinical applications. Our research programs are highly translational spanning from animal models, first-in-human studies, to clinical applications. The appointment as a Massachusetts General Hospital, Harvard Medical School research fellow will be for 1 year with possibility for extension based on performance and the availability of funding. The positions are available immediately. The successful candidate will be a highly motivated researcher with a desire to begin an independent career related to or involving neuroimaging. The position requires a Ph.D. degree in Medical Physics, Biomedical Engineering, Computer Science, Neuroscience or a related field. However, we will consider candidates of any scientific background. This position requires experience in analysis of medical imaging data. Experience with MRI or PET is a plus. Extremely strong candidates with minimal imaging experience are still encouraged to apply. Strong written and oral English communication skills are required. [cid:clip_image001.png]Additional Skills/Abilities/Competencies The job requires a candidate who is mature, responsible and flexible with excellent organizational and people skills. S/He must be able to work with in a fast-paced environment and should be able to problem-solve/troubleshoot, juggle and prioritize multiple tasks and seek assistance when appropriate. Application Interested applicants should send a cover letter describing research interests and experience, an updated CV, and names and contact information of three references to: Hsiao-Ying (Monica) Wey, Ph.D. (E-mail: hsiaoying.wey(a)mgh.harvard.edu) Please contain “Research Fellow Application: Your Name” in the e-mail subject line. The Massachusetts General Hospital and Harvard Medical School are equal opportunity and affirmative action employers. Best, Hsiao-Ying (Monica) ------ Hsiao-Ying (Monica) Wey, Ph.D. Assistant Professor of Radiology, Harvard Medical School Director of Translational Imaging, Chemical Neuroscience Program<https://chemneuro.martinos.org/> A. A. Martinos Center for Biomedical Imaging <https://www.martinos.org/>Institute for Innovation in Imaging (i3)<https://i3.mgh.harvard.edu/> Massachusetts General Hospital 149 Thirteenth Street, Room 10.110 Charlestown, MA 02129 Phone: (617) 724-1384 Email: hsiaoying.wey(a)mgh.harvard.edu Website: weylab.martinos.org

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Funding opportunities at NASA HRP solicitation Appendix E
by Reinoud Maex 15 Apr '21

15 Apr '21

From: mailman-bounces(a)neuroinformatics.be <mailman-bounces(a)neuroinformatics.be> on behalf of Zawaski, Janice A. (JSC-SD211) <janice.zawaski(a)nasa.gov> Sent: 14 April 2021 04:21 To: comp-neuro-owner(a)neuroinformatics.be Cc: Elgart, S Robin (JSC-SK4)[WYLE LABORATORIES, INC.] Subject: NASA HRP solicitation Appendix E Dear Computational Neuro Owner, My name is Janice Zawaski and I am the Space Radiation Deputy Element Scientist within the NASA Human Research Program (HRP). HRP funds research with the goal of buying down the risks associated with spaceflight such as the effects of space radiation on the CNS. Currently, the NASA Human Research Program has an active solicitation, Appendix E Topic 2, that is focused on utilizing computational brain models to characterize the effects of space radiation exposure. Due to the limited time, Step-1s (1 page LOI) due April 30th, would it be possible for an administrator to send the information below to the Computation Neuroscience Mailing list? I have also included information about our omnibus opportunity Appendix F that is released three times a year. The NASA Human Research Program has released two funding opportunities for research relevant to the Space Radiation Element. Appendix E Flagship Opportunity: https://tinyurl.com/HERO20-HHP<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.c…> Space Radiation Topics: Topic 2. Computational Brain Modeling to Characterize the Effects of Space Radiation Exposure Specific Research Focus Area This topic seeks proposals that focus on identifying, based on historical data / prior research, biophysical parameters and structural features that are altered after radiation exposure and to substitute these into computational brain models in patterns reflecting radiation exposure. The model can then be used to interrogate how network activity is altered and its implications on information processing and network stability – i.e. a perturbation analysis. Network firing statistics, ability to maintain oscillations, etc. would represent some of the potential outcome measures. Due to high complexity of the research required, we encourage cross-discipline collaboration and multi-disciplinary teams, including but not limited to radiation biologists, radiation physicists, computational modelers, neuroscientists, etc. Research Platform Ground-based analogs, Computational. Proposers should discuss radiation parameters with the Space Radiation Element prior to proposal submission. Research proposing in vitro and/or in vivo irradiation experiments will be considered non-responsive. Required Deliverables Development of a computational 3D brain model of the hippocampus and/or prefrontal cortex able to characterize and quantify space radiation effects. Quantification, using the developed model, of space radiation exposure including:  Dose/Fluence Response Characterization  Effect of single ions and/or mixed fields (i.e. Proton and HZE) Desired Deliverable Identification of thresholds for failure modes. Validation of the in silico model based on the comparison to historical experimental behavioral results. Appendix F Omnibus Opportunity: https://tinyurl.com/HERO20-OMNIBUS3<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.c…> Three different categories * Applied Investigations * New Investigator Opportunity (**NEW**) * Early Career Investigator Opportunity (**NEW**) The goal of the Omnibus is to expedite progress in various research areas in a short period of time, NASA is requesting proposals for short-term investigations or technology development projects that provide innovative approaches to any of the risks and associated knowledge gaps contained in the Human Research Program (HRP) Integrated Research Plan (IRP). We strongly encourage researchers from all career stages to participate as part of our ongoing efforts to broaden the expertise of our research community. Additionally, please distribute to any colleagues that might be interested in responding. Step-1 proposals are due April 30 thru the NASA NSPIRES system (NSPIRES - NASA Research Opportunities Online (nasaprs.com)<https://nspires.nasaprs.com/external/>) which requires registration. The Element is limited in the specific feedback we can provide regarding proposals but please do not hesitate to contact us with questions. Note that eligibility is limited to USA institutions. Thank you! The Space Radiation Element Team jsc-hrp-space-radiation-element(a)mail.nasa.gov Thank you, Janice Janice Zawaski, Ph.D. Deputy Element Scientist Space Radiation – Human Research Program JSC B21/2147 | Houston, TX 77058

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PhD position / Bordeaux / Machine learning / Neuroscience
by Nicolas P. Rougier (inria) 15 Apr '21

15 Apr '21

Dear colleagues, Inria (https://www.inria.fr/en) and the Institute of Neurodegenerative Diseases (https://www.imn-bordeaux.org/en/) is opening a PhD position in machine learning and neuroscience. Title: Bags O' Neurons Who: Nicolas P. Rougier (Inria) & Thomas Boraud (CNRS) When: 09/2021 to 09/2024 Where: Institute of Neurodegenerative Diseases, Bordeaux, France What: The objective of this PhD is to define the original blueprint of the decision-making network in vertebrate using the newt as a model. More information and application at: https://aap.u-bordeaux.fr/siaap/pub/appel/view/166 Nicolas Rougier https://github.com/rougier https://www.labri.fr/perso/nrougier

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Open position in Juelich, Germany: Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information
by Martina Reske 14 Apr '21

14 Apr '21

Research data are the foundation of scientific discovery. Establishing the provenance of data, enabling its reusability and ensuring long-term availability increases the value, transparency and visibility of research, and opens possibilities for interdisciplinary research, e.g., through approaches from artificial intelligence. The Helmholtz Metadata Collaboration is an association-wide platform that develops and establishes novel concepts, services and workflows to annotate complex and heterogeneous research data with metadata throughout the various phases of acquisition and processing in support of the FAIR principles HMC will be anchored as a “Metadata Hub” within the Helmholtz research domain Information in order to engage and actively involve the scientific community. The Hub is coordinated by the Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) at Forschungszentrum Jülich. Within the Hub Information, the team for Data Science in Electro- and Optophysiology at the Institute of Neuroscience and Medicine (INM-10) headed by Dr. Michael Denker as part of the Statistical Neuroscience group of Prof. Sonja Grün (INM-6) will address the needs from the perspective of the neuroscience community in close coordination with its embedding in international initiatives (e.g., the “Human Brain Project”). The advertised position will link the activities of the INM-6 to the “Metadata Hub Information” when creating tools, establishing use cases, and working on standards for metadata and ontologies. We are looking to recruit a Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information Your Job: * Support of the Helmholtz-wide establishment of the HMC Hub Information at Forschungszentrum Jülich and in the domain of neuroscience * Organization, integration and utilization of metadata schemas within the neuroscience domain and metadata expert communities within the HMC and the Hub Information * (Co-)Development of domain-specific vocabularies, ontologies and metadata schemas in collaboration with colleagues in the Hub Information and across the HMC, as well as with international neuroscience initiatives (e.g., EBRAINS) * Design and development of conceptual solutions and software to facilitate metadata creation workflows and stimulate metadata recording in neuroscience laboratories * Execution of collaborative projects for implementations in the context of FAIR data principles, supported by further HMC computer scientists * Co-development and operation of a domain-specific consulting format for anchoring metadata management in the research centers and dissemination of HMC developed tools * Representing the HMC and its technologies at scientific seminars, conferences, during educational courses, and to the public * Close cooperation with scientists from neuroscience (e.g., in the context of the Bernstein Network) and building interactions to scientific and engineering disciplines, especially in questions of metadata and in the design of projects supported by HMC * Building competence networks with other data stewards and supporting computer scientists * Preparation of position papers, best practices and publications Your Profile: * Completed study (Master, Diploma) in natural sciences or engineering * PhD degree and neuroscience background is beneficial * Proven knowledge and programming experience in at least one high-level language as well as knowledge in script languages (preferably Python), experience in web-based services for managing software (version control, issue tracking, CI,…) * Practical experience with data / research data management and data analysis in neuroscience * Experience in applying and designing metadata standards is an advantage * High ability to work with an interdisciplinary, international team * Communication and teamwork skills as well as the ability to cooperate * Fluent in English, spoken and written * Ability to work independently, systematically and on one’s own responsibility * Good communication skills with developers and scientists * Enthusiasm for a highly topical subject with great scientific and social relevance * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative, dynamic and international team that conducts research at the frontiers of science, where your work will have noticeable impact on shaping the digitization of science * World class science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems * A large research campus in Jülich with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * An attractive workspace at the "Technologiezentrum Aachen" (TZA) close to Aachen downtown, for the cooperation with the HMC team there * Secure employment in a dynamic, international and interdisciplinary context * Comprehensive training courses and individual opportunities for personal and professional further development * Full-time position with the option of slightly reduced<https://www.hrecruiting.de/data/t5ChjatkIfdwmACO/Info_Vollzeitnah_en.pdf> working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 02.05.2021 via our online recruiting system<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…>. Reference number: 2021-136 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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EBRAINS Scientific Liaison Officer position at Jülich Supercomputing Centre, Germany
by Abigail Morrison 14 Apr '21

14 Apr '21

Dear Colleagues, We have a position open for a Scientific Liaison Officer for EBRAINS at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. We are looking for candidates with excellent communication skills, a strong scientific background and computing skills to both promote EBRAINS in the neuroscience community, and drive development activities within the Human Brain Project to ensure the requirements of the community are being met. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-103-E… Closing date: 2 May 2021 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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30th Annual Computational Neuroscience Meeting (CNS*2021) - CALL FOR ABSTRACTS
by Martin Zapotocky 14 Apr '21

14 Apr '21

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Abstracts* *30th Annual Computational Neuroscience Meeting (CNS*2021) - ONLINE** **July 3-7, 2021 *The main meeting begins the evening of Saturday July 3rd and runs through Tuesday July 7. It will be preceded by a day of tutorials (Saturday July 3rd) and followed by workshops (Tuesday July 7 mixed with the main meeting and Wednesday July 8 workshops only). *Keynote Speakers:* *Wolf Singer - **Max Plank Institute for Brain Research **Danielle Bassett - **Dept. of Bioengineering, University of Pennsylvania **Sonia Gruen - **Statistical Neuroscience, Forschungszentrum Juelich **Bill Bialek - **Dept. of Physics, Princeton University* Registration and abstract submission are open. *Abstract submission deadline: May 15th, 2021.* *Accept/reject **notification by June 1**^st ** **Talk/Poster **notification by June 15**^th * Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2021-online-registration <https://ocns.memberclicks.net/cns-2021-online-registration>Registration fees: https://ocns.memberclicks.net/cns-2021-registration-fees <https://ocns.memberclicks.net/cns-2021-registration-fees> Abstract Submission for Main Meeting: https://cns.confmaster.net/ <https://cns.confmaster.net/> For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2021-online <https://www.cnsorg.org/cns-2021-online> -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Call for participation in the Frontiers topic "Advances in brain functional and structural networks modeling via graph theory"
by farras abdelnour 13 Apr '21

13 Apr '21

We would like to announce a special issue of Frontiers in Neuroscience titled “Advances in brain func/onal and structural networks modeling via graph theory,” https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio… The aims of this Research Topic are to advance the current understanding of the brain modeled as a mathematical network, develop new and advanced methods capturing the graph relationship between function and structure, propose new analysis methods of brain time series explicitly grounded on underlying structural network, and ultimately apply the resulting knowledge to brain disease and further foster the understanding of the brain’s underlying configuration and dynamics. We welcome submissions focusing on but not limited to the following topics: - Application of tools such as machine learning, deep learning and convolutional neural network to functional imaging data from fMRI to EEG to predict function from structure. - Study of graph properties of structural or functional networks in healthy and non-healthy brains. - Graph signal processing and harmonic analysis applied to brain networks. - Novel methods and modalities for constructing functional and structural networks. Farras Abdelnour Amy Kuceyeski Ashish Raj Yasser Iturria Medina Samuel Deslauriers-Gauthier -- Farras Abdelnour *Guest Associate Editor of the Frontiers Research Topic **"**Advances in brain functional and structural networks modeling via graph theory <https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio…>* *”* farras.abdelnour(a)gmail.com http://sacklerinstitute.academia.edu/FarrasAbdelnour http://www.abdelnour.photos

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Postdoc position in Litwin-Kumar group at Center for Theoretical Neuroscience, Columbia U.
by ashok litwin-kumar 13 Apr '21

13 Apr '21

A Postdoctoral Research Scientist position is available in the group of Dr. Ashok Litwin-Kumar at Columbia’s Center for Theoretical Neuroscience. The postdoc will develop tools for the analysis of synapse-level wiring diagrams (“connectomes”) and theoretical methods for understanding how network structure identified by such datasets constrains the dynamics of task-optimized neural networks. The development of such methods is important and timely given the increasing availability and scale of connectomic data. The postdoc will be integrated into the large, vibrant neuroscience community at Columbia University of which the Center for Theoretical Neuroscience forms a key component. They will also have the opportunity to participate in strong existing collaborations with groups at Columbia, Janelia, Cambridge, and elsewhere focused on the generation and analysis of connectome data. Applicants are expected to have a PhD in Physics, Mathematics, Computer Science, Statistics, Neuroscience, Biology, or a related discipline and, preferably, experience in theoretical neuroscience or the statistical analysis of neuroscience data. The Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University brings together researchers from different scientific disciplines to transform our understanding of the mind and brain. In this highly interactive research environment, laboratories work together to gain critical insights into human health by exploring how the brain develops, performs, endures and recovers. The Zuckerman Institute is housed in the Jerome L. Greene Science Center, an architectural masterpiece on Columbia University’s Manhattanville campus. All appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. Applicants should apply through Columbia’s job portal: https://pa334.peopleadmin.com/postings/7453 Applications should include the following: 1. CV, including a list of publications 2. Statement of research interests 3. Three letters of reference (reference writers should send their letters directly to yao2107(a)columbia.edu) Columbia University is an Affirmative Action/Equal Opportunity employer. Columbia values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

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Statistical neuroscience postdoc in houston
by xaq pitkow 13 Apr '21

13 Apr '21

Postdoctoral research position in Statistical Neuroscience POSITION: We seek a highly motivated postdoctoral research fellow for a collaborative team project building statistical models for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join a lively team led by theorists Krešimir Josić and Xaq Pitkow, and may work with collaborators Genevera Allen, Ankit Patel, Robert Rosenbaum, and Andreas Tolias as well as several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills and a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

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NEST Conference 2021 goes virtual — registration & call for contributions open
by Hans Ekkehard Plesser 13 Apr '21

13 Apr '21

Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July, which offers the opportunity to deep-dive your own code with expert developers at your fingertips. Registration and submission of contributions are now open! We are inviting contributions to the conference, including plenary talks, "posters", breakout sessions and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 16 May 2021 — Deadline for submission of contributions and for NEST Initiative Membership applications 08 June 2021 — Notification of acceptance 21 June 2021 — Registration deadline 28 June 2021 — NEST Conference 2021 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Dennis Terhorst & Anne Elfgen -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Faculty Position at the University of Calgary
by Wilten Nicola 13 Apr '21

13 Apr '21

The * Department of Computer Science* seeks an outstanding candidate for a tenure-track position at the * Assistant Professor level in the area of * * Fundamental Data Science* with an anticipated start date of September 1, 2021. The applicant must possess a PhD in Computer Science or a Data Science-related discipline at the time of appointment. The successful candidate must demonstrate evidence of a track record of impactful publications in high quality journals and conferences. The successful applicant needs to contribute to the Faculty's innovative teaching and research initiatives, including our highly successful professional graduate programs in Data Science & Analytics <https://science.ucalgary.ca/data-science>. The successful applicant must have demonstrated expertise in the latest big data processing approaches, data analysis, information presentation and visualization, machine learning, cloud computing, or distributed processing of sensors and computational devices. The candidate must have strong interests in multi-disciplinary approaches in exploring artificially intelligent systems as partners to augment scientific inquiries, support innovative exploration of ideas, and investigate how smart technologies and artificial intelligence can be used to benefit our society and help solve scientific, social, and environmental challenges. *The candidate in Fundamental Data Science ** needs to demonstrate evidence of foundational research in data science and machine-based analytics, thus creating the next generation of artificial intelligence systems (including but not limited to deep learning and explainable AI). We are also seeking applicants with demonstrated evidence of expertise in neuroscience-inspired artificial intelligence to investigate, for example, human/brain-computer interfaces, neuroscience-inspired machine learning architectures, and their applications. * The candidate must have strong interests in multi-disciplinary approaches in supporting the Faculty of Science's Data Science research initiatives and training programs, which we offer in partnership with the Cumming School of Medicine and the Haskayne School of Business. The candidate is expected to contribute to the University of Calgary’s * Growth through Focus * <https://ucalgary.ca/president/unstoppable-growth-through-focus?%2Fgrowth-th…> strategy to promote transdisciplinary scholarship and innovation and empower our students and communities to tackle society’s big problems. The candidate’s teaching obligations will be primarily in our professional graduate Data Science & Analytics <http://science.ucalgary.ca/data-science> programs. *Application Deadline: May 3, 2021 * Please apply online via the link: *https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-data-science-department-of-computer-science-faculty-of-science <https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-da…>.* A complete application should be submitted in a single pdf, and include the following: - Cover letter (1-2 pages) - Current curriculum vitae - Research Plan (1-3 pages) - Teaching Philosophy (1-2 pages) - Statement describing the candidate’s contributions, or potential contributions, to Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) *Applications can be addressed to: Dr. Christian Jacob, Head, Department of Computer Science* The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> in line with the foundational goals of * Eyes High <https://www.ucalgary.ca/eyeshigh>*, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. *The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No) * *Additional Information* To learn more about academic opportunities at the University of Calgary and all we have to offer, view our * Academic Careers website <http://careers.ucalgary.ca/pages/academic-careers>*. For more information about the Faculty of Science visit * Careers in the Faculty of Science <https://science.careers.ucalgary.ca/>.* *About the University of Calgary* The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university is making tremendous progress on its Eyes High journey to be recognized as one of Canada’s top five research universities, grounded in innovative learning and teaching and fully integrated with the community it both serves and leads. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit *ucalgary.ca <http://www.ucalgary.ca>*. *About Calgary, Alberta* Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.

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Don't miss the upcoming INCF Assembly on FAIR neuroscience!
by Helena Ledmyr 12 Apr '21

12 Apr '21

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience, registration <https://neuroinformatics.incf.org/2021/registration> is now open! Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. *Please share this with your networks!* The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online next week! Best wishes, Helena and the INCF Team ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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NIH-funded course on multiscale modeling of brain circuits using NetPyNE/NEURON
by Salvador Dura 11 Apr '21

11 Apr '21

Would you like to build a model of brain circuits but don’t know where to start? Want to test a hypothesis or find an explanation for your experimental observations? Our online hands-on course (May 17 to June 1, 2021) will provide you an accelerated introduction to theory, methods, and tools to build brain circuit models at multiple scales (molecular, cellular, network, system, behavior) using the NetPyNE<http://netpyne.org/> and NEURON tools. Our tutors will then work closely with you to help you develop your own model. See all the details and how to apply here: http://dura-bernal.org/netpyne-course-2021

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New FRONTIERS TOPIC: Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches
by Vassilis Cutsuridis 10 Apr '21

10 Apr '21

Dear colleagues, please consider submitting to the new Frontiers Topic in Systems Neuroscience: https://www.frontiersin.org/research-topics/20768/memory-processes-in-media… Regards, --- Vassilis Cutsuridis, PhD, M.Sc, M.A. Senior Lecturer School of Computer Science University of Lincoln UK Tel: +44 (0) 1522 83 5701 Email: vcutsuridis(a)lincoln.ac.uk Web:http://staff.lincoln.ac.uk/vcutsuridis Personal website:http://www.vassiliscutsuridis.org/ "The greatest threat to our planet is the belief that someone else will save it" - Robert Swan "The important thing in science is not so much to obtain new facts as to discover new ways of thinking about them" — Sir William Lawrence Bragg, 1890–1971

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Assistant Professor Position in Cognitive Neurosciences of Language - University of Geneva Switzerland
by Narly Golestani 09 Apr '21

09 Apr '21

Dear all, An Assistant Professor Position in Cognitive Neuroscience of Language is available at the University of Geneva, Switzerland. The position will be in the Psychology section of the Faculty of Psychology and Education Science https://www.unige.ch/fapse/, with access to Campus Biotech Facilities "https://www.campusbiotech.ch/en/node/320". This position is opened in the context of the NCCR (National Center of Research Competence) "Evolving Language" - http://www.snf.ch/en/researchinFocus/nccr/evolving-language/Pages/default.a…. The whole application process can be carried in English. It is required that the successful candidate acquire a working command of French within the first two years in the position. The application deadline is on May 19th, 2021 - please see https://jobs.unige.ch/www/wd_portal.show_job?p_web_site_id=1&p_web_page_id=… for more information. We would be most thankful if you could distribute widely. Thanks in advance, and best wishes, Narly Golestani. ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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2y PostDoc position on EEG analysis in Scuola Superiore Sant'Anna, Italy
by Alberto Mazzoni 09 Apr '21

09 Apr '21

Dear all, I am looking with Prof. Silvestro Micera for a motivated postdoc with previous experience in EEG analysis for a 2y contract in the neural engineering area of the Institute of Biorobotics of the Scuola Superiore Sant Anna https://www.santannapisa.it/en/computational-neuroengineering-laboratory https://www.santannapisa.it/en/institute/biorobotics/translational-neural-e… Projects include Alzheimer diagnostics, robotic rehabilitation, neuroprosthetics, Impulse Control Disorders in Parkinson. Last but not least, Tuscany is a great place to live! Please spread the voice and contact me if interested. Thanks, best Alberto Mazzoni

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New FRONTIERS TOPIC: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY
by Stephen José Hanson 09 Apr '21

09 Apr '21

Please considering submitting to the new Frontiers Topic in Human Neuroscience: https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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[CFP] MDPI Molecules (IF: 3.267, ISSN: 1420-3049) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu 09 Apr '21

09 Apr '21

MDPI Molecules (IF: 3.267, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: 15 September 2021 --------------------------- Guest Editors Sasitharan Balasubramaniam, TSSG/Walton Institute, Waterford Institute of Technology (sasib(a)tssg.org) Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Ms. Emity Wang at: emity.wang(a)mdpi.com, molecules(a)mdpi.com

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Reader/Principal Lecturer in Artificial Intelligence at the University of Hertfordshire
by Volker Steuber 09 Apr '21

09 Apr '21

Reader/Principal Lecturer in Computer Science (Artificial Intelligence) School of Physics Engineering and Computer Science/ Department of Computer Science University of Hertfordshire, Hatfield, UK FTE: Full time position working 37 hours per week (1.0 FTE) Duration of Contract: Permanent Salary: UH9 £51,034 - £60,905 pa dependent on relevant skills and experience Closing date: 9 May 2021 Applications are invited for an academic position as Reader/Principal Lecturer in the Department of Computer Science, University of Hertfordshire. The Department has an international reputation for teaching and research, with 64 academic staff, 40 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the Department teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. Main duties and responsibilities The person appointed will be expected to make a significant contribution to the leadership of research in the department, including gaining research awards as Principal Investigator, the development of the research environment in the department and across the University, and publishing in peer reviewed journal articles and other internationally excellent or world-leading publications in education. To contribute to the development of, and supervise and teach on, doctoral programmes in the UK and internationally in relation to a wide spectrum of AI, especially emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, soft robotics, adaptive or evolutionary robotic design • Biological and biophysical computation paradigms, systems biology, neural computation • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life Preference will be given to candidates that can deliver teaching to Level 7 in a selection of relevant subjects. The appointee will also be expected to lead and develop taught modules in a range of computer science areas. For appointees with the appropriate experience, there will be the possibility of taking up the role of Head of Subject Group within the department of Computer Science. Skills and experience The appointee will strengthen the research culture in the Department by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Therefore it is essential that candidates have a track record (e.g. in published, grant-funded research) in Computer Science. Additionally, experience of different types of assessment and higher education quality assurance is an essential requirement of this role. Prior experience of developing modules and/or programmes of study in Computer Science is essential in addition to significant experience of operating in a UK HE Environment, or equivalent professional experience. Readers/Principal lecturers are expected to take on duties in the capacity of leader, and hence experience of academic leader, programme leadership and line management is desirable. Good interpersonal and presentation skills with proficiency in the English Language are essential along with the ability to manage conflicting demands and work to deadlines. Qualifications required Reader/Principal Lecturer applicants must hold a First Degree and a PhD in an appropriate area of Computer Science or an equivalent, relevant postgraduate professional qualifications. In addition, the Reader/Principal Lecturer will be expected to contribute to the leadership and management academic programmes, as well as proactive participation in enterprise, knowledge transfer and/or research and scholarship in the School. There are expectations of leadership and potentially supervisory oversight of groups of staff. Readers/Principal lecturers are also expected to contribute to the richness of the academic environment, through scholarly activity, support events, projects and activities, including open days, outreach, extra curricula initiatives, and potentially act as a representative of the School or University at national or international fora. The School of Physics, Engineering and Computer Science is an Athena Swan Bronze award holder, and we are committed to providing a supportive environment and flexible working arrangements. The university also provides an onsite childcare facility and child-centred holiday clubs. Staff work with the university values, which are: Friendly, Ambitious, Collegial, Enterprising, and Student focused. Contact Details/Informal Enquiries: Informal enquiries may be addressed to Dr Simon Trainis, Head, Department of Computer Science by email: S.A.Trainis(a)herts.ac.uk Please note that applications sent directly to this email address will not be accepted. Closing Date: 9 May 2021 Interview Dates: TBC but candidates are advised to be available on 16 and 17 June 2021 Apply through https://www.herts.ac.uk/staff/careers-at-herts, Reference Number: 032595 Date Advert Placed: 8 April 2021 Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland
by Auke Ijspeert 08 Apr '21

08 Apr '21

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ <https://www.epfl.ch/labs/biorob>) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KTH Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ <http://phd.epfl.ch/>). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch <mailto:auke.ijspeert@epfl.ch> (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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New Online Master Program for Cognitive Science M.Sc.
by mcruz＠uni-osnabrueck.de 08 Apr '21

08 Apr '21

Dear all, We are very excited to announce that the Institute of Cognitive Science at Osnabrück University will offer a new digital track of the Cognitive Science M.Sc. program! The DAAD-funded program targets international students who can successfully complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. In addition to the online coursework, students will be present in Osnabrück for 2-3 weeks every academic year. During this period, students will be able to get to know one another and participate in courses and face-to-face exams. This also gives students a chance to get to know the city of Osnabrück, learn about German culture, and gain insight into the work-life in Germany through possible internships and company visits. The program will be open for applications soon - check out our website (https://www.ikw.uni-osnabrueck.de/en/courses_of_study/master_program/cognit…) for more details. Please do not hesitate to contact us (os-cosmos(a)uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

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2 postdoc positions at the Perception, Neuroimaging, and Modeling lab at Georgia Tech
by Xue, Kai 08 Apr '21

08 Apr '21

Hi all, The Perception, Neuroimaging, and Modeling lab (PI: Dr. Doby Rahnev, rahnevlab.gatech.edu) has two postdoctoral fellow openings to work on funded projects. The exact topic of research is flexible and could include investigating the neural and/or computational bases of perception, memory, metacognition, attention, expectation, learning, cognitive control, working memory, etc. The Rahnev lab uses a wide range of methods such as fMRI, TMS, psychophysics, computational modeling and concurrent TMS-fMRI. The position is initially for 2 years with a possibility for extension. Candidates will be given the opportunity to conduct studies building on current lab research or developing their own projects ideas. Review begins April 15, 2021 and will continue until both positions are filled. The Rahnev lab, at the Georgia Institute of Technology in Atlanta, has access to exceptional research facilities. The lab space is conveniently located just steps away from a 3T Prisma MRI scanner at the Center for Advanced Brain Imaging (CABI, cabiatl.com) The lab also houses its own TMS equipment and is pioneering the use of concurrent TMS-fMRI that allows TMS to be delivered inside the MRI scanner. Working in the Rahnev lab presents opportunities for collaborations across several Atlanta-based universities including Georgia Tech, Emory and Georgia State. Georgia Tech is located at the heart of Atlanta, a vibrant, multicultural city that offers many opportunities for engaging in cultural, culinary, sports, and entertainment activities. Our lab aims to create a supportive, fun and productive environment. We are especially interested in maintaining our already diverse team and therefore seek applications from qualified individuals from all demographics and backgrounds. For more information, visit our website at http://rahnevlab.gatech.edu/getinvolved.html. To apply, email (1) your CV, (2) a brief description of what types of research questions you may want to pursue if you join us, and (3) a list of three references (names and email addresses will suffice at this point) to Dr. Rahnev (rahnev(a)psych.gatech.edu) Review begins on April 15, 2021 and will continue until both positions are filled. Best, Kai Kai Xue PNM Lab Manager Georgia Institute of Technology | Department of Psychology 424.402.7816

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Research Software Engineer - Comp. Neuroscience Project @Harvard
by Mohammadi Shad, Mahmood 07 Apr '21

07 Apr '21

Dear Comp-Neuro Community, We have an opening in the FAS Research Computing department at Harvard University related to Computational Neuroscience. Harvard University is hiring a Research Software Engineer (RSE) to support researchers' high-performance scientific software development, numerical analysis, and machine learning (ML) needs. This project plays an essential role in helping facilitate cutting-edge research on the brain. Through regular engagements with researchers, this RSE will help with the refactoring of a legacy software package for clustering electrophysiological neural data (spike sorting). They will improve code design, unit testing, performance of statistical/numerical libraries, cloud-readiness, as well as porting to general-purpose scientific programming languages (Python, C++, Julia). Additionally, the RSE will make a modular software structure to test different clustering and cluster-tracking algorithms utilizing ML and deep learning (DL) techniques. More information: https://www.rc.fas.harvard.edu/about/employment/#Research_Software_Engineer… Best, ---------------- Mahmood M. Shad, PhD Associate Director of Research Software Engineering FAS Research Computing Harvard University 38 Oxford Street, Room 210 Cambridge, MA 02138 Email: mohammadi_shad(a)harvard.edu<mailto:mohammadi_shad@harvard.edu>

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Postdoc in neural network and robot models of body representations
by Matej Hoffmann 07 Apr '21

07 Apr '21

** *Dear colleagues, * *** there is a postdoc openingin the humanoid, cognitive, neuro-, and collaborative robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. In the context of a 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research from the Czech Science Foundation (seehttps://cyber.felk.cvut.cz/news/new-gacr-expro-project <https://cyber.felk.cvut.cz/news/new-gacr-expro-project/>for more information), we seek a postdoctoral researcher to conduct research in some of the following areas: - Neural network models of multisensory integration, body schema, and reaching development - Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, impact measuring devices, etc. The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O’Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) Prague There is currently a very lively international ecosystem in the areas of robotics and AI - at the Department and in Prague in general. See, for example, http://rci.cvut.cz/or https://prg.ai/en/. We seek applicants with a background in computational modeling, artificial neural networks or machine learning, with interest in neuroscience. Background in robotics is not required. How to apply. The application should include: -Motivation letter (max. 1 page) - CV (including 2 reference persons) -1 Letter of recommendation (can be from 1 of the reference persons above) Please send the application or inquiries to matej.hoffmann(a)fel.cvut.czwith (“postdoc application” in the subject). The position is open until filled. * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/humanoids

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EBRAINS Training on Model Validation
by Shailesh Appukuttan 07 Apr '21

07 Apr '21

*EBRAINS Training on Model Validation* *4–7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. *Registration will be open until 20 April 2021 and is free of charge.* *Call for Submissions:* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: • A short description of your model • Simulators/tools used for developing and simulating models • Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data • If you have already some questions or comments, you are welcome to mention them • If your model is already published, please include references at the end of the abstract Please send your abstract latest until *20 April 2021, 5pm (CET)* to training-support(a)humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support(a)humanbrainproject.eu Cheers, Shailesh Appukuttan

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PhD Position in Computational Neuroscience, NI group @ Technische Universität Berlin
by Obermayer, Klaus, Prof. Dr. 07 Apr '21

07 Apr '21

Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Computational models of sleep oscillations during non-REM sleep Salary grade E13 (TV-L Berliner Hochschulen) Duration: 5 years Starting date: June 1st, 2021 Reference number: IV-239/21 Working field: The successful candidate will work the computational modelling of sleep rhythms in the context of memory consolidation during non-REM sleep and on the effect of perturbations by transcranial electrical stimulation (cf. Aspart et al. 2018, PLoS Comput Biol 14, e1006124.; Cakan & Obermayer 2020, PLoS Comput Biol 16, e1007822; Cakan et al., 2021, arXiv:2011.14731v2). She/he is expected to collaborate with the theoretical and experimental/clinical research groups of the DFG-funded CRCs 910 (control of self-organizing nonlinear systems, https://www.itp.tu-berlin.de/sfb910/) and 1315 (mechanisms and disturbances in memory consolidation, https://www.sfb1315.de/) Teaching obligations include the supervision of tutorials for courses of the research group in the machine learning field (Master level). Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems and machine learning; very good programming skills; very good command of the German and English languages. How to apply: Please send your application with the reference number and with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstrasse 23, 10587 Berlin, Germany, or preferably by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/. Please send copies only. Original documents will not be returned. The vacancy is also available on the internet at http://www.personalabteilung.tu-berlin.de/menue/jobs/ Application deadline for full consideration: 7. 5. 2021. Applications will be accepted until the position is filled.

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Postdoctoral position in the cognitive neuroscience of aging at UCR and UCI
by Aaron Seitz 06 Apr '21

06 Apr '21

A postdoctoral position in the cognitive neuroscience of aging is available at the University of California, Riverside (UCR) to work with a research team including Professors Xiaoping Hu, Aaron Seitz, Ilana Bennett, and Weiwei Zhang at UCR, and in collaboration with Megan Peters at UC Irvine. This opportunity will involve working on a NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult population. The postdoctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervising graduate students and undergraduate research assistants, and disseminating results at conferences and in research publications. Successful candidates should have a strong background in fMRI data collection and analysis, advanced computational and statistical competencies, management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and knowledge of the others): cognitive aging, brain aging, psychophysics, perception or memory processes, eye-tracking, metacognition, and the role of the locus coeruleus in cognition. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be either in the UCR Psychology or Bioengineering Departments, depending upon candidate interest and primary expertise. Working with our diverse research team will provide a unique interdisciplinary research and mentoring experience. Research will be conducted at the UCR Center for Advanced Neuroimaging, which features a 3T Prisma fMRI system with state of the art eye-tracking and psychophysical systems. Applications must include a cover letter, curriculum vitae, 1-2 sample publications, statement of research interests, statement of past and/or planned future contributions to advancing diversity and inclusive excellence, and the names of three to five references with phone numbers and emails. Review of applications will begin on April 18, 2021 and may continue until the position is filled. Applications received by April 18, 2021 will receive full consideration. Please send these to Aaron Seitz (aseitz(a)ucr.edu) UCR is a world-class research university with an exceptionally diverse student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. Best, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu<mailto:aseitz@ucr.edu> Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu<http://braingamecenter.ucr.edu/> **************************************************

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My Magnum Opus about how our brains make our minds will be published next month by Oxford University Press
by Grossberg, Stephen 02 Apr '21

02 Apr '21

Dear Colleagues, I am writing to call your attention to the publication next month by Oxford University Press of my Magnum Opus about how our brains make our minds in health and disease. The book also has implications for developing increasingly autonomous and adaptive technologies that emulate, and can thus harmoniously interact with, human users. The book discusses many topics about mind and brain. For one, it explains how, where in our brains, and why from a deep computational perspective our brains can learn to consciously see, hear, feel, and know things about the world. I wrote the book to be self-contained, accessible, and appealing to the general public. In addition to its exposition of how our minds work and how these discoveries inspire new designs in engineering, technology, and AI, I have been able to use that foundation to provide discussions of many topics that are of current interest, including how we see visual art; how mental disorders like Alzheimer's disease, autism, amnesia, and disordered sleep are caused; biological bases of creativity and morality; why so many decisions are irrational despite our belief that evolution selects adaptive behaviors; how learned helplessness, self-punitive behaviors, and fetishes may arise and persist; how our brain's design specializes a universal developmental code that it shares with all living cells across multiple species; and how our ceaseless interactions with the external world have shaped the designs that enable us to understand the physical world around us. I hope that, after reading the book Summary and Description below, and the Advance Reviews by 18 leading psychologists, neuroscientists, neural modelers, and technologists, you may be interested in reading the book. If you do, please see the information in the attached flyer for how. Best wishes, Steve Grossberg +++++++++++++++++++++++++++++++++++++++ Conscious MIND, Resonant BRAIN: How Each Brain Makes a Mind by Stephen Grossberg 800 pages, $35 (see attached flyer for 30% reduction to $24.50) https://global.oup.com/academic/product/conscious-mind-resonant-brain-97801… SUMMARY • Explores how your mind works, notably how you learn to consciously see, hear, feel, and know things • Explains how mental disorders can be understood on a continuum with normal behaviors • Creates a computational foundation for applications of autonomous adaptive intelligence in engineering, technology, and AI DESCRIPTION How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities. ADVANCE REVIEWS “A tour de force on How the Brain Works…a masterpiece on brain science and neuro-computing that could only be created by Grossberg.” -- Leon Chua, University of California at Berkeley "Whenever you claim to be "the first to do" this or that in artificial intelligence, it is customary - and correct - to add "with the exception of Stephen Grossberg". Quite simply, Stephen is a living giant and foundational architect of the field." -- Karl J. Friston, University College London "This is a breath-taking book authored by a giant pioneer of the brain and mind." -- Shun-Ichi Amari, RIKEN Brain Science Institute "Professor Grossberg is a rara avis. In an age of increasing specialization, he has a remarkable, unparalleled, gift of seeing connections between seemingly unrelated ideas. And he writes about these with passion, but without compromising accuracy." -- V. S. Ramachandran, University of California San Diego "Stephen Grossberg is a true genius, who has discovered and developed many of the most important concepts and theories about how our brains make our minds. His fundamental contributions to science for over 50 years are richly worthy of a Nobel Prize." -- Leonid Perlovsky, Harvard University "Stephen Grossberg is a "big picture" thinker who has had a remarkably deep influence on many aspects of several fields. It's difficult to overstate the range of his vision and the depth of his thinking, and I expect this book to be required reading in many courses for years to come." -- Stephen Kosslyn, Foundry College “After reading many papers by the author, I always wished that he would present them in a coherent whole. And here it is. A magnificent volume of great science from mind to brain and back, a condensed ars poetica of a great scientist.” -- György Buzsáki, New York University "The current volume charts the remarkable developments that have led Dr. Grossberg to a principled, unified theory of the link between brain and mind. Dr. Grossberg's insights are unparalleled in their breadth and detail, leading us to a scientific understanding of the most remarkable aspect of the mind, consciousness." -- Michael Mozer, Google Brain, Mountain View, CA “Stephen Grossberg is one of the most original and influential theorists in contemporary cognitive science and computational neuroscience. In Conscious MIND Resonant BRAIN, he takes the reader on an eye-opening tour in which he addresses fundamental problems of mind and brain from his unique theoretical perspective. This is an important book that should be of interest to anyone who wonders how a brain can give rise to a mind. -- Daniel L. Schacter, Harvard University “In this book Stephen Grossberg shares the wisdom and encyclopedic knowledge that he acquired over 50 years of research devoted to unravel the mysteries of the human brain. Stephen pioneered the field of theoretical neuroscience and this approach allowed him to discover general principles that govern functions as diverse as visual perception, learning and memory, attention, emotion, decision making and consciousness. It is the essence of overarching principles to be abstract and to sometimes defy intuition, but Stephen succeeds to convey the essential in a language that is readily accessible to the non- expert. He embeds the discussion of neuronal mechanisms in the rich framework of cognitive psychology and elegantly bridges the gap between scientific evidence and subjective experience. He takes the readers by the hand and lets them discover the often surprising philosophical, ethical and societal implications of neurobiological discoveries. For those who enjoy intellectual adventures and wish to explore the boundaries of the known this scholarly written book is a real treasure.” -- Wolf Singer, Max Plank Institute for Brain Research, Frankfurt "Although a behavioral modeler and not a neuroscientist, I have followed Stephen Grossberg's research closely for many years, because I regard him as one of the very most creative and insightful neuroscience theorists that the field has seen. His book should be a must read for those wanting to understand how the brain produces mind." -- Richard Shiffrin, Indiana University "How often do we have the chance to hold a true masterpiece? Grossberg's monumental accomplishments developed over multiple decades now written at an accessible level to a broader audience. What a true privilege!" -- Luis Pessoa, University of Maryland “Steve Grossberg is one of the most insightful and prolific writers on biological intelligence. This book is a masterful presentation of fundamental methods of modeling minds, brains and their interactions with the world, many of which are due to the author and his collaborators. The models are presented as mathematical systems, including computing and neural networks. The variables, parameters and functions represent biological and environmental concepts; mathematical conclusions are interpreted as predictions of biological behavior. In many cases these have been verified experimentally. There are illuminating and surprising connections to other disciplines, including art, music and economics. Highly recommended to a general audience.” -- Morris W. Hirsch, University of California at Berkeley "This comprehensive overview of Grossberg’s contributions to our understanding of the mind and brain shows exactly how prescient he, and his colleagues, have been. Whatever one’s specific interest, from visual illusions to mental illness, this book provides a principled treatment of it. The principles flow from Grossberg’s early framing of many of the questions that have come to define computational neuroscience – including his early understanding of the centrality of expectations. Kudos to him for pulling it all together here." -- Lynn Nadel, University of Arizona “This book is not for the faint of heart. Stephen Grossberg has been a giant in the field of computational neuroscience for 60 years. In this book he presents his carefully developed, integrative neurobiological theory on how the nervous system generates our conscious lives. It is bold yet self-reflective and therein challenging to all students trying to figure out how the brain does its tricks. A must read.” -- Michael Gazzaniga, University of California at Santa Barbara "Conscious Mind, Resonant Brain is the magnum opus of one of the giants of neural networks. The soaring ambition of this book reflects the career achievements of Grossberg's insatiable appetite for understanding how brains work. It is a must-read for those interested in all aspects of how the mind and brain function in health and disease." -- Donald C. Wunsch II, Missouri University of Science and Technology "Grossberg has single-handedly elevated the psychophysics and psychology pioneered by Herman von Helmholtz and William James into a comprehensive mathematical theory of brain and behavior with profound implications and strong empirical support." -- David Hestenes, Arizona State University “An excellent and wide-ranging view of how the brain perceives the world for us by a pioneering brain theoretician.” -- Wolfram Schultz, University of Cambridge

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Three fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France
by angelo.arleo＠inserm.fr 02 Apr '21

02 Apr '21

Dear all, The following three PhD positions are currently available at the Vision Institute, Sorbonne University, Paris, France: 1. PhD position in Computational Neuroscience and Deep Learning <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Comput.Neurosci…> 2. PhD position in Behavioral Neuroscience <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Behav.Neurosci.…> 3. PhD position in Experimental/Clinical Neuroscience <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Exp.Clin.Neuros…> Best regards, Angelo Arleo Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

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NIH-funded part-time postdoc or software developer position in computational neuroscience
by Salvador Dura 02 Apr '21

02 Apr '21

A part-time Postdoc or Software Developer position is available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position will focus on the development and dissemination of NetPyNE, a tool for data-driven multiscale modeling of brain circuits. For more details on the software tool see our eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org<http://www.netpyne.org/>). For details please see: http://dura-bernal.org/postdoc -- Salvador Durá-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org<http://dura-bernal.org/>

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University (2 vacancies)
by COMP HKBU 01 Apr '21

01 Apr '21

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. Professor / Associate Professor / Assistant Professor (Computer Science) (2 vacancies) (PR0311/18-19) The appointees will perform high-impact research, to teach and supervise students at undergraduate and postgraduate levels, and to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. *Those who have responded to the previous advertisement need not re-apply.* *Rank and salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three best ones* out of their most recent publications/works. They should also request *two referees* to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the position is filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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Virginia Tech, Assistant/Associate Professor position in Clinical Psychology
by Pearl Chiu 31 Mar '21

31 Mar '21

Dear All, We invite applications for a tenure-track/tenured Assistant/Associate Professor position in Clinical Psychology at Virginia Tech. We welcome applicants whose research falls across the range of clinical psychological science, including clinical scientists who use computational (neuro)science approaches! For more information: https://careers.pageuppeople.com/968/cw/en-us/job/515515/assistant-or-assoc… If you have questions, feel free to contact me or our search committee chair, Dr. Thomas Ollendick (tho at vt.edu) Please distribute broadly; apologies for cross-posts. Thank you, Pearl -- Pearl Chiu, PhD Associate Professor Fralin Biomedical Research Institute at Virginia Tech Carilion Department of Psychology, Virginia Tech VTC School of Medicine Salem VA Medical Center 2 Riverside Circle, R1110 Roanoke VA 24016 +1 540-526-2019 chiup(a)vtc.vt.edu

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Multiple postdoc positions in Computational Neuroscience and neural data analysis
by Arvind Kumar 31 Mar '21

31 Mar '21

Join us in our endeavour to create a theoretical framework to understand (and hopefully treat) neurodegenerative brain diseases. Upto 5 postdoctoral positions are available at KTH Royal Institute of Technology, Stockholm, Sweden - for building multi-scale models to capture relationship between brain's structure and activity dynamics - to analyse brain connectivity and activity data using topological data analysis - To develop machine learning algos to extract the brain's anatomical connectivity from MRI images. The postdoctoral researchers will become part of an interdisciplinary community of neuroscientists, clinicians, mathematicians and brain imaging experts at KTH and Karolinska Institute Stockholm. These positions are a part of the new interdisciplinary initiative dBRAIN <https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/> within the ‘Digital Futures <https://www.digitalfutures.kth.se/research/collaborative-projects>’ initiative at KTH Royal Institute of Technology, Stockholm. The goal is to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine computational modeling, machine learning and topological data analysis to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies. Contact: Contact the relevant PIs whose names and email addresses are available at dBRAIN <https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/> website. -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsvägen 5. Room#4439 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ cricket blog: http://rightarmoverfast.blogspot.com -------- न यः संपृच्छे न पुनर्हवीतवे न संवादाय रमते । तस्मान्नो अद्य समृतेरुरुष्यतं बाहुभ्यां न उरुष्यतम् ॥ ऋग्वेदः मण्डलं - ८. He who has no pleasure in questioning, nor in debate, nor in dialogue, Defend us to-day from him and from his encounter, defend us from his arms.

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Special Issue “Industrial Big Data and Process Modelling for Smart Manufacturing
by Barna Iantovics 30 Mar '21

30 Mar '21

Dear Colleague, The Open Access journal Mathematics (ISSN2227-7390; IF 1.747) is currently running a Special Issue “IndustrialBig Data and Process Modelling for Smart Manufacturing”: https://www.mdpi.com/journal/mathematics/special_issues/Industrial_Big_Data… We (Prof. Hatem Ghorbel, University of Applied Sciences and ArtsWestern Switzerland; Prof. Stefano Carrino, University of Applied Sciences andArts Western Switzerland; Dr. Ivana Budinská, Institute of Informatics SlovakAcademy of Sciences, Slovakia; Prof. Vicente Rodríguez Montequín, University ofOviedo, Spain) are serving as its Guest Editor. All of us are currently takingpart of one of the CHIST-ERA projects funded underthe Big data and process modelling for smart industry (BDSI) call.The topics included in the special issue are aligned with this call, as well asother calls like Object recognition and manipulation by robots: Datasharing and experiment reproducibility (ORMR). We cordially invite you to submit one feature paper to the SpecialIssue. It could be a full review or an original research article. We will behonored if you are able to participate. The submission deadline is 31 October 2021. You maysubmit your manuscript now or up until the deadline. If you plan to submit, ifpossible, we expect to receive your tentative title and submission date. Adiscount over the article processing charge may be considered according to therelevance of the paper and submission date. Don’t hesitate to contact me forfurther details. Yours faithfully, Prof. Hatem Ghorbel University of Applied Sciences and Arts Western Switzerland Social Network of Machines (SOON) Project Coordinator Project funded under the CHIST-ERA BDSI call

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PhD in computational neuroscience
by Eirini Mavritsaki 30 Mar '21

30 Mar '21

Dear colleagues, Please find below a PhD opportunity in our lab. Best wishes, Eirini Title: An EEG and computational modelling investigation into cultural differences in visual perceptual learning Supervisory Team: Professor Eirini Mavritsaki, Dr Panagiotis Rentzelas, Professor Maxine Lintern, Professor Zoe Kourtzi (University of Cambridge), Stephanie Chua Visual perceptual learning (VPL) refers to the acquisition of visual skills through training which improves our ability to detect useful information in cluttered scenes. Individualism and independence in Western cultures have been associated with differential processing and attentional styles. This research will be based on understanding cross-cultural differences on VPL using EEG and computational modelling work. The ideal applicant should have a good first degree in Psychology/Computer Science. Previous experience in conducting neuropsychological experiments and/or computational modelling work will be highly desirable. Link: https://www.bcu.ac.uk/social-sciences/research/phd_opportunities Contact information: Prof. Eirini Mavritsaki Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk> 0121 3316361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol , SFHEA Professor of Cognitive Psychology Director of Research and Enterprise for the School of Social Sciences Director of Postgraduate Research Studies for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Please use the link below if you want to book a meeting with me https://calendly.com/eirini-mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Two Lectureships at the University of St Andrews
by Tom Otto 29 Mar '21

29 Mar '21

Dear Colleagues, The School of Psychology and Neuroscience at St Andrews is offering two lectureships with one position in Neuroeconomics/Decision Making and the other in Behavioural Neuroscience (please see links to the adverts below). Closing Date: 23 April 2021 All the best, Tom https://www.vacancies.st-andrews.ac.uk/Vacancies/W/3505/0/293925/889/lectur… https://www.vacancies.st-andrews.ac.uk/Vacancies/W/3193/0/293921/889/lectur… -- Dr. Thomas Otto University of St Andrews School of Psychology and Neuroscience St Mary’s Quad, South Street, St Andrews, KY16 9JP, Scotland Phone: +44 (0)1334 462091 http://lclab.wp.st-andrews.ac.uk/

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AMAM2021 (Adaptive Motion of Animals and Machines) Call for Abstracts
by Auke Ijspeert 28 Mar '21

28 Mar '21

*AMAM 2021 Call for Abstracts* The International Symposium on Adaptive Motion of Animals and Machines (AMAM, http://adaptivemotion.org/ <http://adaptivemotion.org/>) is dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to behavior in biological and artificial systems. This year AMAM is holding a virtual, asynchronous conference to highlight work done by early career researchers. The meeting will consist of an online poster session with access to asynchronous chats, a pre-recorded audio or video poster presentation, and synchronous virtual meeting times scheduled by each participant to encourage live conversation and connection across time zones. In addition there will be the traditional hardware demonstration (the Robot Zoo) in a non-traditional promotional video format. The meeting will be held June 22^nd – 25^th . Abstract deadline will be April 1^st 2021. More information can be found at https://amam2021.squarespace.com/ <https://amam2021.squarespace.com/> and will be updated regularly. Please use the contact tab on the webpage if you have any questions at all.

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Postdoc position in computational neuroscience at Georgia Tech
by Choi, Hannah 28 Mar '21

28 Mar '21

Dear all, A postdoctoral researcher position is available in Hannah Choi's group in the School of Mathematics at Georgia Tech. We are a new computational neuroscience group studying the link between structure, dynamics, and computation in data-driven neural networks at multiple scales. We utilize various mathematical tools to probe how efficient neural computation emerges from the underlying network dynamics and architecture, in close collaboration with leading experimental groups. More information about the group is available at hannahchoi.math.gatech.edu. The ideal candidate should have a strong quantitative background, with a PhD in computational neuroscience, applied math, physics, computer science, or other related fields. Previous experience in neuroscience and/or machine learning is preferred but not required. The position would ideally start as soon as possible (Summer or Fall 2021). To apply, please send a CV, a research statement, and the contact information for three references to hannahch(a)gatech.edu<mailto:hannahch@gatech.edu> with the subject line "postdoc application". Applications will be reviewed on a rolling basis until the position is filled. Georgia Tech's campus is in the heart of midtown Atlanta, which has a thriving and collaborative computational neuroscience community spanning multiple institutions and departments. Georgia Tech is an equal education/employment opportunity institution dedicated to building a diverse community, priding itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion. Best, Hannah ************************ Hannah Choi, Ph.D. Assistant Professor School of Mathematics Georgia Institute of Technology

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Paid internships in computational neuroscience
by Salvador Dura 27 Mar '21

27 Mar '21

Two paid internships position in computational neuroscience are available in the Dura-Bernal Lab <http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences University. Students will have the opportunity to gain research experience and learn cutting edge methods in computational neuroscience: large-scale modeling of neuronal cortical circuits to study brain function and disease; machine learning applied to neuroscience; development of neuroscience software tools. For more details see Research<http://dura-bernal.org/research> and Current Collaborations<http://www.dura-bernal.org/people#collaborators>. For details please see: http://dura-bernal.org/internships. -- Salvador Durá-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org<http://dura-bernal.org/>

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CFP 30th International Conference on Artificial Neural Networks ICANN 2021, Sept 14-17, ONLINE, Deadline extension
by Paolo Masulli ENNS 26 Mar '21

26 Mar '21

30th International Conference on Artificial Neural Networks ICANN 2021 https://e-nns.org/icann2021 *ONLINE EVENT* 14 - 17 September 2021 *Deadline extended to April 15, 2021* ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021. *Online event:* Due to the uncertainty regarding the re-opening of Europe during 2021, *ICANN is going fully online this year*. We will still have keynote talks, contributed talks and poster sessions, and nothing changes regarding the conference proceedings in Springer LNCS. * **CONFERENCE TOPICS* ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and 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. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement 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, 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 2021 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 PAPERS* Authors willing to present original contributions in either 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/icann2021/ *IMPORTANT DATES* Opening of contribution submissions: 15 Feb 2021 Deadline for full paper and extended abstract submission: 15 Apr 2021 Notification of acceptance: 25 May 2021 Camera-ready paper and registration opening: 15 June 2021 Deadline for early registration at discount rate: 30 June 2021 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. *ORGANISATION* General Chairs: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia) Sebastian Otte (University of Tübingen, Germany) Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS)

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Research Associate Position at Cardiff University Brain Research Imaging Centre
by Jiaxiang ZHANG 25 Mar '21

25 Mar '21

[Apologize for cross-posting] Dear all, We are seeking an enthusiastic early-career scientist for a research associate position at Cardiff University Brain Research Imaging Centre (CUBRIC). The successful candidate will join a collaborative and multidisciplinary research team to work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional MRI and diffusion MRI) and computational modelling. The post holder will develop computational models that describe data from behavioural and brain imaging experiments, in particular to take a lead role in integrating large-scale computational simulations with imaging results from multiple modalities. The research aims to understand the computational and neurocognitive processes of human decision-making, and how decision deficits may arise due to brain injury or neurodegeneration. The research associate will also be expected to collaborate with other researchers in the team on imaging data analyses and data curation. You will have access to imaging facilities at CUBRIC and several multimodal imaging datasets. Cardiff University Brain Research Imaging Centre (CUBRIC) houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our webpage (http://sites.cardiff.ac.uk/cubric) This is a full-time, fixed-term position until February 2023, available to start now. Remote working is possible if COVID-19 restrictions are in place. For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73(a)cardiff.ac.uk) A formal application needs to be submitted via the link online ( https://www.jobs.ac.uk/job/CEQ831/research-associate) *Application deadline: April 6th, 2021.* *Essential Criteria* 1. A PhD degree in a relevant discipline (e.g., mathematics, computer science, engineering, physics or psychology) 2. Research experience or a strong interest in human decision-making 3. Strong experience in computational models of cognitive processes and/or macroscopic neural systems, including the use of neural mass models or neural field models 4. Experience of analysing brain imaging data in one or more modalities (e.g., diffusion MRI, BOLD functional MRI, MEG/EEG), using common software packages 5. Strong programming skills (e.g., Matlab, Python, C/C++ or R) 6. Experience with Unix/Linux environment for data analysis, including bash scripting and parallel computing on high-performance clusters 7. Proven ability to publish high-quality research in peer-reviewed academic journals 8. Knowledge of software development cycles and best programming practices, including coding standards, version control administration, debug and code sharing, with strong commitments to open science practices 9. Excellent written and verbal communication skills, evidenced by publications and/or conference presentations 10. Strong interpersonal skills, including proven ability to work cooperatively within a team while also being able to take the initiative *Desirable Criteria * 1. Experience of brain functional and structural connectivity analyses 2. Experience in statistical methods (e.g., GLM, mixed models, multivariate statistics, hierarchical models and Bayesian statistics) and/or machine learning methods 3. Experience in deep learning models of imaging processing --- Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ https://ccbrain.org

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INCF Assembly 2021: abstract submission closes March 31!
by Helena Ledmyr 25 Mar '21

25 Mar '21

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience! Abstract submission <https://neuroinformatics.incf.org/abstract-submission> is open until March 31, and registration <https://neuroinformatics.incf.org/2021/registration> is now open . Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online in April! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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Network Neuroscience Satellite at Networks2021 online conference - Call for contributions
by Daniele Marinazzo 25 Mar '21

25 Mar '21

The 2021 Network Neuroscience Satellite <https://netneurosci.github.io/networks2021satellite> of the Networks2021 <https://networks2021.net/> conference will happen online between June 28 and July 2, with the most likely dates being June 30/July 1 (TBC soon). *Background and Motivation:* Recent technological developments have enabled mapping and recording of neural systems with unprecedented coverage and detail. Increasingly, the brain’s structure and function are approached from the perspective of complexity and networks, with theoretical and empirical/computational studies that conceptualize the brain as a complex system, composed of elements and interactions that are dynamically and functionally integrated. Network science offers important conceptual tools, insights, and robust computational methods for dynamic network systems’ analyses. At the intersection of networks and brain science, the interdisciplinary field of Network Neuroscience is now addressing a broad range of both basic and applied scientific questions, regarding many aspects of brain architecture and function. This satellite will provide an opportunity for participants with diverse backgrounds to present cutting-edge research, discuss latest network findings and exchange ideas. *Invited speakers:* - Maurizio Corbetta (University of Padua, Italy) - Plamen Ch. Ivanov (Boston University, United States) - Mariangeles Serrano (University of Barcelona, Spain) - Carolyn Parkinson (University of California Los Angeles, United States) - Dimitri Van De Ville (EPFL and University of Geneva, Switzerland) *Organizing and program committee:* - Richard F. Betzel (Indiana University, United States) - Fabrizio De Vico Fallani (INRIA, France) - Katja Heuer (Max Planck Institute for Cognitive and Brain Sciences, Germany) - Daniele Marinazzo (Ghent University, Belgium) - Olaf Sporns (Indiana University, United States) - Roberto Toro (Pasteur Institute, France) - Emma Towlson (University of Calgary, Canada) - Robin Wilkins (University of North Carolina, United States) The satellite will include a number of* poster and oral presentations* contributed by submission. For the poster sessions we are working to provide a friendly, robust, and inclusive platform to maximize the quality of the interactions. If you would like to present your work, please, follow this link to <https://easychair.org/conferences/?conf=netneuro2021>Easychair <https://easychair.org/conferences/?conf=netneuro2021>, select the type of contribution and submit your abstract by *April 9th*. Abstracts should be in pdf format and no longer than 1 page (about 500 words). Please note that we have only a limited number of slots available for oral presentations, and encourage you to consider submitting your work as a poster. We will be holding a dedicated session for the posters. Oral presentations (“Contributed Talks”, 15 minutes) will be selected by the program committee. We welcome submissions from all areas of Network Neuroscience, to include (but not limited to): - Brain transcriptional and gene regulation networks; - Structural brain networks; - Functional brain networks; - Network theory, modeling and analysis; - Network communication and information flow; - Circuit dynamics; - Brain-behavior interactions; - Systems neuroscience; - Clinical applications. Please note that as per the rules of Networks2021, you may not deliver the same oral presentation in this satellite as at the main conference. Posters, however, may be presented at the satellite and at the main conference if appropriate. Communication of accepted submissions and invitations for oral “contributed talks” will be sent by *April 23rd*. The early deadline for registration at the Networks2021 conference is *May 1st*. Please don't forget to visit our webpage <https://netneurosci.github.io/networks2021satellite>, and add yourself with your interests and keywords to the brainweb <https://brain-web.github.io/community/>! -- Daniele Marinazzo Department of Data Analysis Faculty of Psychology and Educational Sciences, Ghent University Postal address: Henri Dunantlaan 2, B-9000 Ghent, Belgium Office address: Henri Dunantlaan 1, B-9000 Ghent, Belgium (directions in the link below) +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ Twitter @dan_marinazzo <https://twitter.com/dan_marinazzo> Directions to the office <https://soleway.ugent.be/routes/1250> http://helpdesk.ugent.be/e-maildisclaimer.php

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Postdoc and research assistant positions in Florida. Sleep and memory spike dynamics
by Carmen Varela 22 Mar '21

22 Mar '21

Two positions (*one postdoc and one research assistant/post-bac*) in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate the role of the thalamus in sleep-dependent memory consolidation. *Keywords*: behaving rodent extracellular electrophysiology, cell population dynamics, thalamic circuits, learning and memory, sleep consolidation, synaptic plasticity, mRNA translation. Start date flexible within 2021. *Project 1 (postdoc; 3 years with possibility of extension):* Cell population dynamics of spike activity in thalamic cells during learning and subsequent NREM sleep consolidation. *Project 2 (research assistant; 1-2 years with possibility of extension):* Synaptic changes evoked by thalamic activity during sleep-dependent memory consolidation. **** Requirements **** Interested candidates please send your curriculum and a brief description of your research interests to varelac(a)fau.edu We are looking for team-oriented candidates, ideally with prior experience with rodent behavior and electrophysiology. Candidates selected for an interview will be asked to provide contact information for up to three references. **** What you get **** · Work on exciting and impactful projects to understand the contribution of higher order thalamic cells to learning and memory. · Develop research skills using state-of-the-art systems, molecular and computational neuroscience techniques. · Mentorship, supportive lab environment, in a rapidly growing neuroscience campus. *Location**:* The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. Best, Carmen Varela, Ph.D. Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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Open Post-doctoral Position in Human Perceptual Neuroscience at NYU
by Hardstone, Richard 17 Mar '21

17 Mar '21

The Perception and Brain Dynamics Laboratory (PI: Biyu J. He, Ph.D.) at New York University is currently recruiting for a post-doctoral fellow to study neural mechanisms of human perception and the interaction between perceptual and cognitive systems. We are looking for a candidate with independent critical thinking, strong analytical and quantitative skills, and good interpersonal skills. We are especially interested in candidates with experience in using advanced neuroimaging data analyses to test theories in perceptual/cognitive neuroscience, and/or candidates with experience in large-scale computational modeling. Our laboratory is located on the medical campus of New York University in Manhattan, NY, and is affiliated with the Neuroscience Institute, Departments of Neurology, Neuroscience & Physiology, and Radiology. The position is expected to start in fall 2021. We provide competitive salary and benefits that adjust for cost of living in New York City. To apply, please send a CV, a cover letter, a statement of scientific and career goals, and names and contacts of three referees to Prof. Biyu Jade He (email: biyu.jade.he(a)gmail.com<mailto:biyu.jade.he@gmail.com>) with the subject line “post-doctoral application 2021”. ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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3x Positions in Reinforcement Learning & Comp Cogn Neuroscience for Healthcare
by Aldo Faisal 16 Mar '21

16 Mar '21

Dear All We are looking for machine learning, causal statistics and computational neuroscience minded people to join our rapidly growing team around developing Reinforcement Learning for medical interventions. Recruitment is on a rolling basis, but for administrative purposes we have a first cut-off end of this month. If you want to move beyond Atari games and work on intervention-based Machine Learning that will have impact on medial practice and eventually patient lives - do join us as we have received the unique opportunity to join us to work on the Machine Learning, Computational Cognitive Science and a rapidly growing team working on the hospital IT, regulatory and clinical side of our AI for Healthcare testbed for "Level 2 autonomous medical treatment”. Details below Kind regards Aldo — 3 x Postdoctoral Positions in Reinforcement Learning for Healthcare (AI Clinician) @ Imperial College Job Summary Research Associate salary: £40,858 - £48,340 per annum* Full-time, Fixed term to start ASAP for 2 years with the possibility for extension Our vision is to establish the computational foundations for an „AI clinician“, an AI system informed by millions of patient records that is using Reinforcement Learning (RL) to learn optimal treatment policies for critically ill patients (Komorowksi et Faisal, 2018, Nature Medicine; Gottesman et al, 2019, Nature Medicine). Prof Aldo Faisal, has been awarded a prestigious UKRI Turing AI Fellowship in Reinforcement Learning for Healthcare for which are recruiting up to 3 post-doctoral Research Associates. Our machine learning research goal is centred on developing what is needed as a theoretical foundation for taking our „AI clinician“ proof-of-principle all the way to clinical deployment, and expanding its capabilities and responsibilities. Our Research Associates doing fundamental work will be supported by a team of experienced Researchers and a program grant to take the AI Clinician through the regulatory and technical challenges of clinical deployment. The AI Clinician programme is grounded in the established foundations of clinical decision support systems, which will run as a bed-side recommender system watching over the patients state second-by-second and prompting specific clinical interventions to undertake as the patient state evolves. We are uniquely placed to take our machine learning developments into a meaningful clinical setting, as we have been awarded with generous funding by the UK’s Ministry of Health/NHS-X to setup a globally unique AI for Healthcare testbed for reinforcement learning interventions in 4 intensive care units across Central London. On the clinical side of the AI Clinician we are collaborating with world-leading intensive care clinicians (Anthony Gordon & Matthieu Komorowksi) also at Imperial College. Our project has the support of regulatory experts and specialised medical device units that support us in taking our entire research program all the way to clinical deployment in a live hospital environment. The overall research environment is corresponding to our ambition, the Departments where Aldo Faisal’s research group is based has been consistently ranked top 3 in the UK, and Imperial College has been consistently ranked in the top-10 universities world-wide. Imperial College boasts a world-leading ecosystem of AI for Healthcare research across the breadth of both AI and Medicine, and hosts among other things the pioneering UKRI Centre in AI for Healthcare (directed by Aldo Faisal), as well as the AI network, comprising over 200 faculty and 1000 Research Associates and PhD Students at Imperial that work in AI. Duties and responsibilities The aim of the project is the advancement of foundational Reinforcement Learning methods with the immediate application to clinical intervention and involves the unique opportunity to develop core machine learning theory and see it evaluated with clinical end-users as needed. We are therefore searching for our UKRI Turing AI research programme areas at the interface of: 1. Causal Inference & Reinforcement Learning Despite the parallels between optimal sequential decision making in Causal Inference (Dynamic Treatment Regimens) and continuous control in RL, there has only been some initial work linking these (Barenboim & Pearl, 2016; Johnson et al 2017; Gottesmann et Faisal…, 2019, Nature Med) and we are keen to synthesize these into a common theory. 2. Foundations of Reinforcement Learning Advancing RL methods to cope with partial observability, risk, sparseness or the size of vast data sets, (including Distributional RL & Fusing Off-policy & On-Policy learning; Off-Policy Learning in POMDPs; Neural ODEs for RL), e.g. see Li & Faisal, 2021, AAAI; 3. Explainable AI & Cognitive Neuroscience We believe that Explainability in AI requires us to develop empirical methods for measuring how well humans were explained and how much trust this explanation has caused, establishing a clear link to cognitive neuroscience. E.g. see Beyret, Shafti & Faisal, IROS 2019, Shafti et Faisal, IROS 2020. Location: London Salary: £40,858 to £48,340 per annum Hours: Full Time Contract Type: Fixed-Term/Contract Placed On: 2nd March 2021 Closes: 31st March 2021 Job Ref: ENG01585 How to apply For further details on this opportunity visit https://www.imperial.ac.uk/jobs/ <https://www.imperial.ac.uk/jobs/> and search using vacancy reference number ENG01585. Candidates should also attach: A full CV A short statement indicating what you see are interesting issues relating to the above post and why your expertise is relevant Informal enquiries regarding post please contact Aldo Faisal: aldo.faisal(a)imperial.ac.uk <mailto:aldo.faisal@imperial.ac.uk> For queries regarding the application process contact Jamie Perrins: j.perrins(a)imperial.ac.uk <mailto:j.perrins@imperial.ac.uk> Closing Date: 31st March 2021 (midnight) Apply <https://www.imperial.ac.uk/jobs/description/ENG01585/3-x-research-associate> — Aldo Faisal, PhD Professor of AI & Neurocscience UKRI Turing AI Fellow Director, UKRI Centre for Doctoral Training in AI for Healthcare Director, Behaviour Analytics Lab, Data Science Institute Dept. of Bioengineering & Dept. Of Computing Imperial College London SW7 2AZ London UK @FaisalLab www.FaisalLab.org aldo.faisal(a)imperial.ac.uk http://www3.imperial.ac.uk/people/a.faisal

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Full-time Research Assistant posion on funded project investigating the neural basis of conscious vision -- Brascamp lab
by Brascamp, Jan 16 Mar '21

16 Mar '21

Our lab is seeking to hire a Research Assistant for a funded project investigating the neural basis of conscious vision. The successful candidate will play a pivotal role in many aspects of the study including recruiting and scheduling participants, collecting behavioral and neuroimaging data, and organizing and analyzing study data. In addition, this position will involve general lab management, including maintaining ethical protocols, and there will be opportunity to contribute to other ongoing projects in the lab. The research assistant will also have the opportunity to prepare scientific results for publication and presentation, and there will be ample opportunity to learn methods in functional neuroimaging, visual psychophysics, and eye tracking/pupillometry. Accordingly, this position should be viewed as a stepping stone toward gaining entry into graduate or professional school. The ideal candidate should be highly motivated, organized, and capable of working independently, have strong organizational and interpersonal skills, and hold a Bachelor’s or Master’s degree in psychology, neuroscience, or related discipline. Individuals interested in the psychology and neuroscience of visual perception are especially encouraged to apply. Minimum qualifications include a Bachelor’s degree in psychology, neuroscience, or related field, and previous (undergraduate or post-undergraduate) experience in human subjects research. Experience with vision research is highly desirable. Working knowledge of Microsoft Office (Word, Excel, Powerpoint) is essential. Experience using a programming language (Python, Matlab) is desired, but not necessary. Preference will be given to those who can commit to two years of service. The start date is flexible. Interested applicants should e-mail Dr. Jan Brascamp at brascamp(a)msu.edu and include all required application materials: 1) 1-2 page letter of interest, including interests and long-term career goals/plans. 2) CV 3) Transcript (unofficial or official) 4) Contact information (phone and email address) for three individuals who can provide a reference Applications will be reviewed starting immediately and continue until the position is filled. Any questions about the position may be directed to Dr. Jan Brascamp at brascamp(a)msu.edu

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Scientific Liaison Officer position at Jülich Supercomputing Centre, Germany
by Abigail Morrison 16 Mar '21

16 Mar '21

Dear Colleagues, We have a position open for a Scientific Liaison Officer for EBRAINS at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. We are looking for candidates with excellent communication skills, a strong scientific background and computing skills to both promote EBRAINS in the neuroscience community, and drive development activities within the Human Brain Project to ensure the requirements of the community are being met. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-103-E… Closing date: 30 March 2021 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Funded PhD position in modelling biological neuro-muscular control in dynamic locomotion with a link to biorobotics (Biomechanics / Biomedical Engineering / (Bio-)physics)
by Compsens 16 Mar '21

16 Mar '21

FUNDED PHD POSITION IN MODELLING BIOLOGICAL NEURO-MUSCULAR CONTROL IN DYNAMIC LOCOMOTION WITH A LINK TO BIOROBOTICS (BIOMECHANICS / BIOMEDICAL ENGINEERING / (BIO-)PHYSICS) We are currently seeking a highly motivated PHD STUDENT (F/M/D) WE OFFER a FUNDED RESEARCHER POSITION FOR 36 MONTHS in our project „Neuro-muscular contraction in dynamic locomotion“. The project has a strong focus on basic research investigating the function of biological muscles in locomotion and how to transfer important characteristics to novel bio-inspired robotic systems. You will be part of an interdisciplinary multi-center research group with muscle physiology and biorobotics researchers in a team of at least three PhD students. Your contribution will be focused on modelling and simulation of neuro-muscular control. Your contract should start in the first half of 2021. Salary will be based on previous experience. ABOUT US You will become a member of the group /Multi-Level Modeling in Motor Control and Rehabilitation Robotics/ at the Hertie Institute for Clinical Brain Research (HIH) in Tübingen. The project is in collaboration with the /Dynamic Locomotion Group/ at Max-Planck-Institute for Intelligent Systems and the /Department of Motion and Exercise Science /at the University of Stuttgart. Our joint research environment offers an excellent research infrastructure and outstanding graduate schools fostering the development of your career. REQUIREMENTS, CORE SKILLS The ideal candidate should have * A background in BIOMEDICAL ENGINEERING, (BIO-)PHYSICS, COMPUTATIONAL NEUROSCIENCE, or closely related * a Masters (or equivalent) degree from a recognized university. Near completion can be considered; * Prior knowledge in multi body dynamics modeling, dynamical systems, system identification, learning, or optimization, is a plus; * Proficient programming experience in Matlab, Python, or similar * Prior experience with neuro-muscular or musculo-skeletal modeling is a plus; * Excellent grades and analytical skills; * Proficient oral and written English skills; * Outstanding candidates with different backgrounds are encouraged to apply To apply The position is will remain open until filled. Applications sent before March 21st will be prioritised. Please send a Cover letter, CV, and transcript of records, along with contact details of two researchers or teachers who would be willing to write a letter of reference (we will contact them directly) to: DANIEL.HAEUFLE(a)UNI-TUEBINGEN.DE HTTPS://WWW.HIH-TUEBINGEN.DE/EN/MOCOM/ I AM LOOKING FORWARD TO YOUR APPLICATION! DANIEL HäUFLE

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Sponsored competition announcement: the Multi-Agent Behavior Challenge
by Ann Kennedy 15 Mar '21

15 Mar '21

We are excited to announce the Multi-Agent Behavior (MABe) Challenge, a competition to build improved tools for the detection of multi-agent behaviors in neuroscience data! What: A machine learning competition to build supervised behavior classification tools, hosted on AIcrowd. When: The Challenge runs from March 8 2021 - April 30 2021 Where: https://www.aicrowd.com/challenges/multi-agent-behavior-representation-mode… Why: To understand the brain, we must understand how it controls behavior. The study of that behavior has classically relied on manual annotation of large volumes of videos. Automating the behavior annotation process would allow researchers to increase the speed, volume, and objectivity of their experiments, and to investigate new behaviors they otherwise would not have time to study. What's in it for me: the three challenge tasks share a $9000 prize pool sponsored by Northwestern University and Amazon SageMarker. The first 50 submissions to exceed any task baseline by at least 5% will receive $200 in Amazon SageMaker credits (max 2/team). Top performing teams will also be invited to present their work at the Multi-Agent Behavior Workshop at CVPR 2021 in June (workshop details coming soon). The challenge consists of three tasks: 1) develop methods to classify human-defined behaviors from tracked pose trajectories in a large dataset of videos of socially interacting mice, 2) fine-tune classifications to different annotator styles, and 3) learn to recognize new behaviors of interest from limited training examples. Relevant techniques include supervised learning, many-to-one time series modeling, style transfer/transfer learning, few-shot learning, domain-sensitive data augmentation, and unsupervised feature learning/clustering. Organized by Ann Kennedy (Northwestern University), Jennifer J. Sun (Caltech), Yisong Yue (Caltech), and Pietro Perona (Caltech), with data contributed by Tomomi Karigo and other members of the David Anderson lab (Caltech). Happy classifying!

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Post-Doctoral Fellowship in Reproducible Neuroimaging Analysis in Toronto
by Sean Hill 15 Mar '21

15 Mar '21

The Krembil Centre for Neuroinformatics (PI Dr. Sean Hill, http://krembilneuroinformatics.ca/) Toronto, is looking to hire a Post-Doctoral Fellow with a strong background in Neuroimaging and Software Engineering. The successful candidate shall spearhead the group's efforts in developing a comprehensive open science platform that captures a range of experimental data, produces a semantic representation that links related scientific content, and provides users with data discovery tools. Working jointly between the Krembil Centre and Radiologics, the successful candidate will be involved cutting-edge development an electronic laboratory notebook platform that enables reproducible human neuroscience workflows. This work will support a global collaborative effort for Accelerating research on Consciousness: An adversarial collaboration to test contradictory predictions of Global Neuronal Workspace and Integrated Information Theory. Led by Dr. Lucia Melloni this project will accelerate research on consciousness by providing decisive, field-transformative evidence in favor of one theory and against the other. It will also establish a groundbreaking model for scientific practices in cognitive neuroscience at large, by demonstrating the impact of team-based adversary research and open data. This will address major riddles in the field, much like established practices in other fields such as physics and genomics have done. Thus, this project may dramatically change the landscape of research—that is, the social practices and norms—in the field of cognitive neuroscience. Full posting details: https://www.camh.ca/-media/files/radiologics__kcni_postdoctoral_fellow_post… For inquiries, please email Dr. Sean Hill (sean.hill(a)camh.ca<mailto:sean.hill@camh.ca>) with the title “Post-Doctoral Fellowship Reproducible Neuroimaging Platform” in the subject line. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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You are invited to register for the Neuroscience Workshops!
by Mary 15 Mar '21

15 Mar '21

Dear researchers, neuroscientists, electrophysiologists and enthusiasts, ScienceBeam Academy has the pleasure to invite you to register for upcoming neuroscience online courses as described below: 1) “Deep Dive into Event Related Potentials (ERPs) Technique” Online Course Prospective overview of the sessions: 1. Basics of EEG signal and EEG recordings ➢ Overview of the theory behind neural signals (History) ➢ Generation and Propagation of ERP and EEG ➢ Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.) ➢ 10/20 Electrode System, Reference, Montages, Impedance, etc. ➢ Brain Rhythms and Cognition (Based on Clinical and Research Studies) 2. Basics of ERP Components ➢ ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.) ➢ Difference Wave, Forward-Inverse Problem ➢ Challenges in ERP Source Localization ➢ Peaks and Components 3. EEG-ERP Prepossessing with Various Preprocessing Pipelines ➢ Basic Principles and Challenges ➢ Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc. ➢ Pipelines: MAKATO, HAPPE, BEAP and etc. 4. Experimental Design ➢ Principles of Experimental design for ERP in Clinical and Research Settings ➢ Significance of Measurement Window ➢ Common Design Problems and Solutions ➢ Case Studies on research articles with good and bad design 5. Basic Analysis ➢ Quantifying ERP Amplitudes and Latencies ➢ Introduction to the Analysis tool boxes (EEGLAB, ERPLAB) ➢ FFT, Time Frequency Analysis 6. Common Mistakes (in lack of parameters) ➢ Overlapping ➢ Filtering ➢ Epoching ➢ Baseline Correction ➢ Measurement Window • Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience • Course Length: 7-sessions online course • Introductory webinar: https://sciencebeam.com/erplab-webinar/ • Registration: https://sciencebeam.com/pragati-gupta-course/ o Deadline: March 25, 2021 2) “Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue” Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data. Prospective overview of the sessions: 1. Session 1: ➢ Systems and complex system in neurosciences ➢ Origins of electrophysiological signals and measurements ➢ Electrophysiology and relevant features for computational modeling: o Membrane potential o Raster plot o Local field potential 2. Session 2: ➢ Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ➢ Introduction to dynamical systems for neurosciences: o Differential equations o Phase space representation o Stability and domain of attraction ➢ Unidimensional and bidimensional models o Dynamics of integrate-and-fire models o Repertoire of 2 D models o Reduction of Hodgkin-Huxley model 3. Session 3: ➢ 2D and Higher dimensions models: o Particular role of the reset o Possibility of chaos ➢ Models of synapses ➢ Limits of models: o Biophysical and mechanistic description o Phenomenology ➢ Introduction to the first lab session (with Brian2 simulator) 4. Session 4: ➢ First Lab Session: o Repertoire of electrophysiological patterns o Models of networks o Global measure on simulations 5. Session 5: ➢ Second lab session: o analysis of the results o relations to the data ➢ Conclusive discussion • Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France • Course Length: 5-sessions hands-on online course • Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ • Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activit… o Deadline: April 1st, 2021 If you require any further information, feel free to contact me: workshop(a)sciencebeam.com Mary Reae Human Neuroscience Department Manager www.sciencebeam.com WhatsApp Num.: 008613380781282

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Several funded PhD positions - in Computational Cognition at the interface of Machine Learning, Computational Neuroscience, and AI.
by Prof. Pipa 15 Mar '21

15 Mar '21

We offer in total 8 funded PhD positions associated with the graduate school on "Computational Cognition" (https://www.comco-cms.uni-osnabrueck.de/en/open_positions.html) , at the interface between Cognitive Science, Machine learning, Computational Neuroscience, and AI. The RTG Computational Cognition aims at reintegrating Cognitive Science and Artificial Intelligence. PhD students of the RTG will be educated in both subjects in order to combine the findings of these fields and thus to get a better understanding of human and machine intelligence. Research fields involved in the RTG are Neuroinformatics, NeuroBioPsychology, Bio-Inspired Computer Vision, Knowledge-Based Systems, Cognitive Natural Language Processing & Communication, Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, Computational Linguistics and Cognitive Computing. The RTG focuses on the integration of two research fields. Further information on the RTG is available at www.comco.uni-osnabrueck.de. Detailed information on the core areas of the offered PhD projects can be obtained from the spokesmen of the RTG, Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) and Prof. Dr. Peter König (pkoenig(a)uni-osnabrueck.de) The RTG is incorporated into the Cognitive Science PhD program founded in 2002. PhD students of the RTG will take advantage of an interdisciplinary environment, which nevertheless focuses on a common research topic and offers a broad range of methodological synergies between the projects. Required Qualifications: Applicants are expected to have an academic degree (Master/Diploma), experience in at least one of the domains listed above, proven experience in interdisciplinary work as well as a good command of the English language. Osnabrück University is committed to helping working/studying parents balance their family and working lives. Osnabrück University seeks to guarantee equality of opportunity for women and men and strives to correct any gender imbalance in its schools and departments. If two candidates are equally qualified, preference will be given to the candidate with disability status. Applications with the usual documentation should be submitted by e-mail in a single PDF file to the director of the Institute of Cognitive Science, Prof. Dr. Gunther Heidemann (gheidema(a)uni-osnabrueck.de) with a cc to office(a)ikw.uni-osnabrueck.de no later than April 19, 2021. To inquire additional information on for example specific research projects you can contact the coordinator Gabriela Pipa (gapipa(a)uos.de) ---------------------------------------------------------------------------- ----------------------------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

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Modellers Workshop for the Brain Dynamics Toolbox, Final Call
by Stewart Heitmann 15 Mar '21

15 Mar '21

Modellers Workshop for the Brain Dynamics Toolbox, Final Call Final Announcement. The Modeller’s Workshop is an online course for simulating custom dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<http://bdtoolbox.org>). Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include Ordinary Differential Equations (ODEs), Partial Differential Equations (PDEs), Delay Differential Equations (DDEs), Stochastic Differential Equations (SDEs), Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments close Saturday 20th March 2021. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Faculty Positions at Okinawa Institute of Science and Technology Graduate University
by Kenji Doya 14 Mar '21

14 Mar '21

Okinawa Institute of Science and Technology Graduate University (https://www.oist.jp) invites applications for new faculty positions as part of its planned expansion. Applications are invited in, but not limited to, the targeted areas including artificial intelligence, machine learning, data science, and smart machines. Excellent scholarship and creativity are the main criteria for appointment. Successful candidates are expected to establish an active and independent research program, supervise Ph.D. students, teach graduate courses, and perform university services as required. Appointments will be Tenure-Track or Tenured. The starting date is negotiable. The application deadline is April 30, 2021. Please refer to application information: https://groups.oist.jp/facultypositions OIST offers a world-class research environment with an international research community and opportunities for interdisciplinary research, with currently 81 Research Units and no departmental boundaries (https://www.oist.jp/research-units) Each faculty will run an independent Research Unit with generous internal funding, including funds for several research staff. OIST provides cutting-edge core research facilities, including imaging, sequencing, instrumentation, nanofabrication, and high-performance computing, with dedicated support staff. Research and teaching are conducted in English. The campus is situated in a beautiful subtropical setting in Okinawa, Japan. Please see the video: https://www.oist.jp/news-center/videos/university-future The University strongly encourages applications from women and other underrepresented groups. Inquiries: Dr. Milind Purohit Dean of Faculty Affairs faculty-recruiting(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Postdoc positions in the cognitive computational neuroscience of decision making
by Ollie Hulme 12 Mar '21

12 Mar '21

We are searching for two researchers to contribute to an ambitious experiment addressing how risky decisions are made & why. Candidates to be at a postdoc level, though those without a PhD can be considered. One position is based at the London Mathematical Laboratory <https://lml.org.uk/>(behavior & theory focus), the other is based in Copenhagen at the Danish Research Centre for Magnetic Resonance <https://www.drcmr.dk/>(neuroimaging focus). There will be substantive opportunities for exchange visits between sites, and (COVID-permitting) summer school training in Italy. Interdisciplinary training will be central to both positions. For more details on the London position see here <https://lml.org.uk/research/economics/research-positions-in-ergodicity-econ… > and for the Copenhagen position see here <https://drcmr.dk/vacancies/item/1114-postdoc-researcher-position-neuroecono…> . Twitter thread here <https://twitter.com/hulme_oliver/status/1369677808872603652?s=20>. -- Ollie Hulme Senior Researcher at the Danish Research Centre for Magnetic Resonance <https://www.drcmr.dk/> Group leader: Computational neuroscience of reward group <https://www.drcmr.dk/reward-and-homeostasis> External Fellow at the London Mathematical Laboratory <https://lml.org.uk/> (+45) 2339 1399

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Laboratory research coordinator position in systems/cognitive neuroscience
by Ella Striem-Amit 11 Mar '21

11 Mar '21

*Laboratory research coordinator position in systems/cognitive neuroscience* The Sensory and Motor Plasticity lab (SAMP Lab, PI: Ella Striem-Amit) at Georgetown University is looking for a full-time laboratory research coordinator. We examine the balance between innate brain organization and experience-dependent plasticity by studying people with sensory and motor deprivation (e.g., blindness, dysmelia) using behavioral and neuroimaging techniques. The Laboratory Research Coordinator will work on projects involving behavioral and fMRI testing of sensorimotor and visual processing, as well as perform administrative duties. The position is particularly suited for a recent graduate from a Neuroscience, Psychology, Cognitive Science, Computer Science or related undergraduate program who is seeking to work in an innovative research environment in preparation for graduate school. The primary duties and responsibilities of this position include: · Running Experiments for the lab: Recruit and interact with study participants and run experiments in the lab (behavioral, fMRI), as well as online behavioral experiments (e.g. Amazon Mechanical Turk). Administrative responsibilities associated with these experiments, including maintaining lab records, participant reimbursements, uploading and organizing data, and managing IRB documentation and reviews. · Maintaining Infrastructure: Responsibility for purchasing and maintaining lab equipment and managing data storage, including fMRI equipment, lab computers, and lab accounts on software and storage services. · Research Projects: Responsibility for carrying out independent research projects and assistance with the research projects of students and postdocs. These projects will involve a combination of behavior and fMRI of actions in healthy and special populations. The laboratory research coordinator will be expected to participate in all aspects of experiment design, analysis, and communication, including creating stimuli and experimental protocols, collecting and analyzing data, writing up results for publication, and presenting findings at conferences. · Additional administrative duties: Interaction with outside vendors, maintenance of laboratory records, assistance with coordinating lab meetings, conference trips and visits. Position duration: *At least two years of commitment is required. * Start time: Flexible, preferably May to August 2021 Requirements: BA/BS in Neuroscience, Psychology, Cognitive Science, Computer Science or related scientific field Experience with scientific computing (Matlab, Python, or R) An ability to solve technical problems independently Strong organizational skills Ability to work well with others Some prior research experience (experience with fMRI analyses an advantage) *To learn more or apply for this position, please email your CV to Ella Striem-Amit (**striemamit(a)fas.harvard.edu* <striemamit(a)fas.harvard.edu>*) with the subject line: **Lab research coordinator **position.* Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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Postdoctoral positions in systems neuroscience at the University of Pennsylvania
by Maria Geffen 11 Mar '21

11 Mar '21

The Geffen laboratory <http://hosting.med.upenn.edu/hearing> at the University of Pennsylvania <http://www.upenn.edu/> has multiple postdoctoral positions open in systems neuroscience with the broad goal of understanding the neuronal circuits for auditory perception and memory. We are looking for energetic and talented scientists interested in studying the function of the brain. The postdoctoral fellow will have the opportunity to learn and apply a host of systems neuroscience techniques, including two-photon imaging of population activity, optogenetic manipulations, large-scale electrophysiology and behavior in mice. Prior experience with some of these methods is preferred, but not required. Depending on the candidate's interests, all projects provide an opportunity to learn and apply advanced computational methods, including dynamic systems analysis of neuronal population activity; Bayesian approaches for understanding the relation between neuronal activity and behavior; machine learning methods to understand large-scale neuronal activity. We currently have openings for postdoctoral fellows for three projects: (1) Neuronal mechanisms for predictive coding: Auditory perception relies on predicting statistics of incoming signals, be it identifying the speech of a conversation partner in a crowded room or recognizing the sound of a babbling brook in a forest. The human brain detects statistical regularities in sounds as a fundamental aspect of prediction, evidenced by reduced responses to repeated sound patterns and enhanced responses to unexpected sounds. Multiple studies demonstrate that the neuronal responses to regular signals are reduced through adaptation, which can contribute to prediction. However, adaptation alone is not sufficient to account for prediction and studies at cellular and neuronal population levels in animals thus far lend only partial support to existing theories of predictive coding. The goal of the project is to close this gap in knowledge and to determine the circuits that predict signals and detect statistical regularity and its violation in auditory behavior. Funded by NIH NIDCD. (2) Neuronal circuits for learning-driven changes in auditory perception: Everyday auditory behavior depends critically on learning-driven changes in auditory perception that rely on neuronal plasticity within the auditory pathway. By combining state-of-the-art optogenetic, electrophysiological, behavioral and computational approaches, the project seeks to identify the function of specific circuit elements in auditory learning. Funded by NIH NIDCD. (3) Neuronal mechanisms for hearing under uncertainty: In everyday life, because both sensory signals and neuronal responses are noisy, important cognitive tasks, such as auditory categorization, are based on uncertain information. To overcome this limitation, listeners incorporate other types of signals, such as the statistics of sounds over short and long time scales and signals from other sensory modalities into their categorization decision processes. This project will identify the contribution of specific cell types to categorization and the neuronal mechanisms for how contextual signals bias auditory categorization. In collaboration with Dr. Yale Cohen <https://auditoryresearchlaboratory.weebly.com/> and Dr. Konrad Kording <http://kordinglab.com/>, funded by NIH BRAIN Initiative. Our laboratory is a close community of fun-loving scientists, striving to help each other while exploring the mysteries of the brain. Our trainees have won numerous awards and have been awarded government and private foundation grants. We value diversity and promote equity in the scientific community and beyond <https://hosting.med.upenn.edu/hearing/philosophy/>. The systems neuroscience community at the University of Pennsylvania is top-notch and highly collaborative, and postdoctoral fellows will have opportunities to engage in interdepartmental initiatives, including MindCore <https://mindcore.sas.upenn.edu/>, MINS <https://www.med.upenn.edu/ins/> and CNI <https://www.cni.upenn.edu/>. Penn has a gorgeous campus and offers many cultural activities. Philadelphia is a beautiful city with world-class music, food and entertainment. To apply, please email Dr. Geffen at mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> : a cover letter (summarize your prior research experience, why you are interested in the position, and your future plans) and your CV. __________________________ Maria N. Geffen, Ph.D. (she/her) Associate Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu http://hosting.med.upenn.edu/hearing Twitter: @neimarkgeffen

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Towards a standard organization for animal electrophysiology: a new BIDS Extension Proposal
by Sylvain Takerkart 11 Mar '21

11 Mar '21

(apologies for cross-postings) Dear everyone, With this email, we would like to introduce a new BIDS Extension Proposal (BEP) dedicated to electrophysiological data recorded in animals (BIDS-animal-ephys). The BEP document is available here <https://docs.google.com/document/d/1oG-C8T-dWPqfVzL2W8HO3elWK8NIh2cOCPssRGv…> and we are now seeking feedback (e.g comments directly in the document, or posts in our discussion forum <https://github.com/INCF/neuroscience-data-structure/issues>) from the community at large to make sure this suits the largestpossible array ofneeds in animal electrophysiology. A bit of context and history. BIDS <https://bids.neuroimaging.io/> is a simple and intuitive way to organize and describe neuroscientific data in a standardized manner, originally developed for human neuroimaging data (see the first paper on MRI-BIDS <https://doi.org/10.1038%2Fsdata.2016.44>), and widely extended since its original introduction to other data modalities (see e.g EEG-BIDS <https://doi.org/10.1038/s41597-019-0104-8>, or MEG-BIDS <https://doi.org/10.1038/sdata.2018.110>). A good number of exchanges have already taken place with electrophysiologists, with initial debates on whether adapting the hierarchical organization offered (and imposed) by BIDS (for other data modalities and recorded in human subjects) could suit the needs of the community of researchers working with animal models. Of course, it will change the habits of some, but a consensus has emerged that sticking to what BIDS suggests could suit the needs of a vast majority and that the long term benefits of such a standardization could be worth changing some habits. These observations have led to the formalization of this BIDS-animal-ephys Extension Proposal (BEP). For info, this BEP has been drafted by members of the INCF Working Group on Standardized Data Structures <https://incf.org/sig/incf-working-group-standardized-data>, that was initiated in 2020 to attempt standardizing the handling of neuroscientific data recorded in animal models. Note that at the present time (early 2021), the discussions in this Working Group are split to tackle two different issues: - How to handle animal data in a generic manner (i.e across data modalities, for both in vitro and in vivo data etc.)? The specific discussion about this topic is centralized here <https://github.com/INCF/neuroscience-data-structure/issues/9>. - How to handle electrophysiological data recorded in animals, and how to standardize the associated metadata? This is the main objective of the present BEP. Please consider joining this working group if you would like to contribute to this effort (either directly on these topics, or for other questions / data modalities). You can also reach the moderators of the present BEP through our main discussion forum <https://github.com/INCF/neuroscience-data-structure/issues>. Also, please do not hesitate to forward this message around you so that we reach as many electrophysiologists as possible! Thanks in advance for your feedback and contributions! -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

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2 PhD positions in Sensory Neurotechnology in the Reichenbach lab
by Tobias Reichenbach 10 Mar '21

10 Mar '21

2 PhD positions in Sensory Neurotechnology in the Reichenbach lab, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany The newly founded Chair for Sensory Neuroengineering, headed by Tobias Reichenbach, at the new Department Artificial Intelligence in Biomedical Engineering is looking for two PhD students. In close collaboration with clinical and industrial partners, the lab researches on the neural foundations of hearing, as well as on new technology for better treatments of hearing impairment. The PhD students will develop and apply AI methods to analyse neurological data on human speech processing. They will also develop AI methods to construct audiovisual speech signals for better speech comprehension. FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for Siemens. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.jobs.fau.de/jobs/2-phd-studentships-in-sensory-neurotechnology-… <https://www.jobs.fau.de/jobs/2-phd-studentships-in-sensory-neurotechnology-…> ------------------------------------------- Prof. Dr. Tobias Reichenbach Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nuremberg Henkestrasse 91 91052 Erlangen http://www.bg.ic.ac.uk/research/reichenbach/

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Postdoc position in Theoretical/Computational Neuroscience at Washington University in St. Louis
by Tavoni, Gaia 09 Mar '21

09 Mar '21

POSTDOC POSITION IN THE TAVONI LAB Applications for a postdoc position at the interface between physics and neuroscience are open at the newly set up Theoretical and Computational Neuroscience lab at Washington University in St. Louis. The selected candidate will work on one or more computational problems, involving models of plasticity and learning, memory and decision-making. A brief description of the projects can be found at http://neurosci.wustl.edu/People/Faculty/Gaia-Tavoni. <http://neurosci.wustl.edu/People/Faculty/Gaia-Tavoni>The underlying research theme in the lab is the search for optimal principles of information representation and processing in the brain that underpin the flexibility of animal behavior. A range of approaches are used, including methods from statistical physics, information theory and dynamical systems. Washington University in St. Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. This includes a strong interest in computational neuroscience (see https://sites.wustl.edu/compneuro) The lab is based at the Medical School in the Department of Neuroscience and the Institute for Informatics, and expects to develop strong links with the Departments of Engineering, Physics and Mathematics. Job Requirements: Candidates with backgrounds in physics, mathematics, engineering or computer science, good programming skills, familiarity with neuroscience topics or a keen interest in computational neuroscience, proficiency in English, intellectual curiosity and drive are welcome to apply. How to Apply: For further information and applications please contact Dr Gaia Tavoni (gaia.tavoni(a)wustl.edu) including a detailed CV, a brief statement of research experience and interests (max 2 pages), names and email addresses of 2 references. Please indicate "Post-doc application" as the subject of your email. Applications will be reviewed on a rolling basis until position is filled. Gaia Tavoni Assistant Professor Department of Neuroscience Washington University School of Medicine East McDonnell Medical Sciences, 312B St. Louis, MO 63110 email: gaia.tavoni(a)wustl.edu

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

09 Mar '21

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

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Online Bernstein Conference 2021 - Call for Satellite Workshop Proposals
by a.dorrn＠fz-juelich.de 09 Mar '21

09 Mar '21

The Bernstein Network Computational Neuroscience<https://bit.ly/BN_welcome> invites proposals for Satellite Workshops at the online Bernstein Conference 2021 ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference<https://bit.ly/BC21_online> will be held online, from Sep 21 – 23, 2021. ____ IM IMPORTANT DATES - Satellite Workshops: September 21, 2021, 2 pm – 10 pm CEST - Main Conference: September 22 – 23, 2021 - Deadline for Satellite Workshop proposal submission: May 10, 2021 - Notification of workshop acceptance: planned in June 2021 ____ WORKSHOP PROPOSALS Satellite Workshops of the Bernstein Conference provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance gender diversity and variety of career levels into account as their selection criteria. Workshop proposals are welcome as flexible formats of 4-8 hours (all workshops will start at 2 pm CEST, but will end based on individual schedules) Workshop Proposal Forms can be downloaded here: http://bit.ly/BC21_workshops Please submit the completed form to bernstein.conference(a)fz-juelich.de Deadline: May 10, 2021 – not to be extended Workshop organizers and all speakers will receive a waiver for the online conference. ____ WORKSHOP SELECTION COMMITTEE Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) Matthew Botvinick Megan Carey Peter Dayan Brent Doiron Rainer Friedrich Julijana Gjiorgjieva (Program Chair) Ann Hermundstad Christian Machens (Program Vice Chair) Srdjan Ostojic Nathalie Rochefort Nicole Rust Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Juelich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 email: a.dorrn(a)fz-juelich.de<mailto:a.dorrn@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CfP: Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making - Entropy by MDPI. *Deadline is approaching*
by Domenico Maisto 08 Mar '21

08 Mar '21

Dear Colleagues, You are cordially invited to submit a manuscript to the Entropy Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference\ The firm deadline for manuscript submissions is 21 March 2021. Please find further information below. With best regards, Domenico Maisto ================================================================ Open Access Journal ENTROPY by MDPI Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making ----------------------------------------------------------------------------------------------------------------- This Special Issue aims to focus on recent advances in probabilistic inference in goal-directed human and animal decision making, and we welcome submissions that: - Shed light on the computations of neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms involved; - Propose novel probabilistic models and methods in decision making including (but not limited to) information-theory approaches, statistical and free- energy minimization, hierarchical models, and deep networks; - Introduce decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Guest Editors Dr Francesco Donnarumma Dr Domenico Maisto Dr Ivilin Stoianov Entropy is an Open Access Journal by MDPI with high visibility (indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases), excellent citescore (IF: 2.494; 2019 Scopus data: 3.7, which equals rank 8/62 (Q1) in 'Mathematical Physics', 14/54 (Q2) in 'Physics and Astronomy', 210/670 (Q2) in 'Electrical and Electronic Engineering', and 104/300 (Q2) in 'Information Systems'), and rapid publication. -- Domenico Maisto, PhD Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR) Via Pietro Castellino 111, 80131, Napoli Italy Phone: +39 0644595208 (Rome), +39 0816139507 (Naples) Fax: +39 0644595243 (Rome), +39 0816139531 (Naples) e-mail: domenico.maisto(a)icar.cnr.it

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Teaching-focused job opportunity at UCL
by Andre Altmann 08 Mar '21

08 Mar '21

Hi everyone: We are looking for a postdoc who is interested in teaching and curriculum design to help us run a new training program primarily aimed at UK researchers who want to gain more confidence in working with medical image data in their research. The program will consist of a series of various short courses, online and in-person, that combine image analysis, software development, and data management. The post holder will be responsible for day-to-day leadership of the curriculum design, as well as the content development and delivery. The job advert, description and how to apply can be found at the link below: https://bit.ly/ucl-ideas-job If people have any questions or want to find out more, they can send them to healthbioscienceideas(a)ucl.ac.uk Kind regards, Andre

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postdoctoral position: computational cognitive science of economic behavior
by Michael Woodford 07 Mar '21

07 Mar '21

The Cognitive and Behavioral Economics Initiative at Columbia University invites applications for a Postdoctoral Research Associate position in the fields of Behavioral Economics, Neuroeconomics, or Computational Cognitive Science to begin July 1, 2021 or after (start date negotiable). Columbia University's Cognitive and Behavioral Economics Initiative is looking for a Postdoctoral Research Associate to join a team under the direction of Prof. Michael Woodford, that studies the cognitive foundations of economic decision making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms involved in perceptual judgments and in economic decisions. Projects may involve the perception of probability, value or risk; learning to forecast or categorize; the role of imprecise perception or memory in learning the values of actions; endogenous allocation of attention; sources of randomness in decisions; or context effects in choice behavior. Representative recent publications by our group include: Polania et al., Nature Neuroscience, 2019; Kobayashi et al., Nature Human Behavior, 2019; Heng et al., eLife, 2020; Woodford, Ann. Rev. Econ., 2020; Prat-Carrabin and Woodford, bioRXiv, 2020; Aridor et al., bioRXiv, 2020; and Khaw et al., Rev. Econ. Studies, forthcoming. *Minimum Qualifications:* a PhD in economics, psychology, computational neuroscience, computer science, or related field. A strong background in computational modeling is essential; prior experience running behavioral experiments is desirable. Familiarity with models of efficient coding and approximate Bayesian inference will be particularly useful. Columbia is an equal-opportunity employer, and we welcome applications from women or groups that have been under-represented in science. *To apply, please send a 1-2 page statement of research interests, a CV, copies of (or links to) one or two representative publications or preprints, and contact information for at least two references **to * *iserp-hiring(a)columbia.edu* <iserp-hiring(a)columbia.edu>*. Applications will be accepted until March 31, 2021, or until the position is filled.* Michael Woodford Columbia University

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Researcher (Joint Position with NYU CNS), Center for Computational Neuroscience
by Serena Fuccillo 05 Mar '21

05 Mar '21

Researcher (Joint Position with NYU CNS), Center for Computational Neuroscience The Center for Neural Science (https://www.cns.nyu.edu/) at New York University (NYU), jointly with the Center for Computational Neuroscience (CCN) at the Flatiron Institute of the Simons Foundation, invites applications for an open rank joint position, with a preference for junior or mid-career candidates. We seek exceptional candidates that use computational frameworks and methods to develop concepts, models, and tools for understanding brain function. Areas of interest include sensory representation and perception, memory, decision-making, adaptation and learning, and motor control. During the academic year 2021-2022, the position will initially be a full-time position at NYU. Beginning academic year 2022-2023, the position will become a joint appointment between NYU and CCN, with the appointee spending half time in each location (both in lower Manhattan). The NYU position is a tenure-line faculty position at the Assistant, Associate, or full Professor level depending on the candidate’s background and experience. The holder of an Assistant level appointment will be considered for promotion to a tenured Associate professorship according to NYU's standard policies and procedures. The corresponding position at CCN may be Associate or Full Research Scientist, or Group Leader, again depending on candidate experience. The initial appointment is for three years, and is renewable, subject to satisfactory progress in research. A Ph.D. in a relevant field, such as neuroscience, engineering, physics or applied mathematics, is required. The responsibilities for this joint position include but are not limited to: establishing a research program with a significant computational component; participating in the international neuroscience research community; teaching at the undergraduate and graduate levels at NYU; contributing to the scientific culture and activities at the Flatiron Institute by collaborating with other researchers, hiring and supervising junior researchers, and assisting with the organization of CCN-related conferences, workshops, group seminars and summer programs. Review of applications will begin 28 March 2021. Important: in order to be considered for this joint appointment, candidates must submit their application in two places: To NYU at: https://apply.interfolio.com/83845 To CCN at: https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer… Application materials should include a brief cover letter, a statement describing current and planned research and teaching activities, a curriculum vitae including a list of publications, and names and contact information for three references. Because diversity and inclusion are an important part of the NYU mission, candidates should include a paragraph in their cover letter indicating how diversity and inclusion figure into their past, present, and future teaching, research, and community engagement. (Additional information can be found here: http://as.nyu.edu/departments/facultydiversity/recruitment/diversity-statem… ). All applications will be reviewed by a joint committee consisting of members from CNS and CCN. MINIMUM QUALIFICATIONS Education A successful candidate will have a Ph.D. in neuroscience, physics, engineering, applied mathematics or a related discipline. One or more years of postdoctoral research experience is desirable. Experience - Demonstrated abilities in establishing a neuroscience-related research program, embracing the opportunities offered by a joint position between NYU CNS and CCN. The research program must include a significant computational component. - A record of excellence in scientific publication. - Ability to teach effectively at both the undergraduate and the graduate level. - Strong oral and written communication skills, supporting collaboration and cooperation across traditional disciplinary boundaries. - Knowledge of software development and dissemination, either for scientific simulation, model fitting, experimental design, or analysis of modern high-throughput experimental data acquisition, is desirable. About NYU More information about NYU Center for Neural Science can be found at https://as.nyu.edu/content/nyu-as/as/departments/cns.html. The Faculty of Arts and Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber, who embody the diversity of the United States as well as the global society in which we live. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the FAS commitment to diversity, equality and inclusion, please read here. ( http://as.nyu.edu/content/nyu-as/as/administrative-resources/office/dean/di… <http://as.nyu.edu/administrative-resources/office/dean/diversity-initiative…>). EOE/Affirmative Action/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity. About the Flatiron Institute The Flatiron Institute (https://www.simonsfoundation.org/flatiron) is a major, new internal scientific unit of the Simons Foundation. It consists of five Centers – Astrophysics, Quantum Physics, Mathematics, Biology, and Neuroscience) each focused on the computational aspects of a particular area of basic science. It aims to generate original scientific discoveries, along with new computational infrastructure supporting and enabling such discoveries by the community at large. The newly formed Center for Computational Neuroscience aims to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. Simons Foundation Diversity Commitment Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. Warm Regards, *Serena Fuccillo* Coordinator, Center Administration Center for Computational Neuroscience *FLATIRON INSTITUTE* 162 Fifth Avenue, 3rd Floor New York, NY 10010

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Postdoc in machine learning at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 05 Mar '21

05 Mar '21

Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson’s disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users’ movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users’ posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users’ spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users’ intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users’ behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users’ movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users’ intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson’s disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: · Doctoral degree (PhD) · Proficiency in Python, Matlab and C++ · Strong background in quantitative data analysis · Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets · Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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INCF Assembly 2021: abstract submission open!
by Helena Ledmyr 04 Mar '21

04 Mar '21

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience! Abstract submission <https://neuroinformatics.incf.org/abstract-submission> is open until March 31, and registration <https://neuroinformatics.incf.org/2021/registration> will open in late March. Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online in April! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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INCF/OCNS Software WG: Dev session on GeNN (9th March)
by Ankur Sinha 04 Mar '21

04 Mar '21

Hello everyone, Apologies for the cross-posts. The INCF/OCNS Software Working Group (WG)[1] is happy to announce the next "Dev session" on GeNN[2] where James Knight and Thomas Nowotny will introduce the software and then discuss its *development* pipeline. The session will be held on March 9 at 1700 UTC. Zoom link: https://universityofsussex.zoom.us/j/97956408800?pwd=by9yVnhCZTJlenY0bVI4OE… 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. The abstract of the session is below: ----- Large-scale numerical simulations of brain circuit models are important for identifying hypotheses on brain functions and testing their consistency and plausibility. Similarly, spiking neural networks are also gaining traction in machine learning with the promise that neuromorphic hardware will eventually make them much more energy efficient than classical ANNs. In this dev session, we will present the GeNN (GPU-enhanced Neuronal Networks) framework [1], which aims to facilitate the use of graphics accelerators for computational models of large-scale spiking neuronal networks to address the challenge of efficient simulations. GeNN is an open source library that generates code to accelerate the execution of network simulations on NVIDIA GPUs through a flexible and extensible interface, which does not require in-depth technical knowledge from the users. GeNN was originally developed as a pure C++ and CUDA library but, subsequently, we have added a Python interface and OpenCL backend. The Python interface has enabled us to develop a PyNN [2] frontend and we are also working on a Keras-inspired frontend for spike-based machine learning [3]. In the session we will briefly cover the history and basic philosophy of GeNN and show some simple examples of how it is used and how it works inside. We will then talk in more depth about its development with a focus on testing for GPU dependent software and some of the further developments such as Brian2GeNN [4]. [1] https://github.com/genn-team/genn [2] https://github.com/genn-team/pynn_genn [3] https://github.com/genn-team/ml_genn [4] https://github.com/brian-team/brian2genn ----- If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG either on INCF's Neurostars platform[4] or on our GitHub repository[5]. 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://ocns.github.io/SoftwareWG/pages/about.html [2] http://genn-team.github.io/genn/ [3] https://ocns.github.io/SoftwareWG/2021/02/26/dev-session-james-knight-thoma… [4] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [5] https://github.com/OCNS/SoftwareWG/discussions/12 On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Postdoc Opening on Information Dynamics inferred from in vivo electrophysiological recordings
by BATTAGLIA Demian 04 Mar '21

04 Mar '21

We are looking for a postdoctoral scholar to work at the interface between theoretical and experimental neuroscience in a cooperation between the groups of Christophe Bernard and Demian Battaglia at the Institute for Systems Neuroscience (INS) of Aix-Marseille University. The project will involve using information theoretical and machine learning tools and other computationally-intensive data analysis approaches on electrophysiological recordings of unit and LFP activity in rodents. In a recent series of works, we have been characterizing dynamics of "Information Processing states" and primitive processing operations of storage and sharing by individual hippocampal and cortical neurons in anesthesia, in both control and epileptic rodents (Clawson et al., Science Advances 2019; Pedreschi et al., Network Neuroscience 2020; Clawson et al., biorXiV 2021). We plan now to generalize these analyses to behavioral and very long sleep recordings, especially in relation to how circadian rhythms affect neural system function (Debsky et al., Science Advances 2020; Brancati et al., PNAS, in press) and performance. Indeed, although it is known that circadian rhythms drive all organ functions, including the brain, it is little known how the architecture of information processing by neuronal ensembles is affected by such rhythms. The ideal candidate will have a background in computational or theoretical neuroscience, physics or theoretical computer science. Familiarity with information theory concepts, previous experience in the analysis of large neuroscience datasets (e.g. multichannel recordings, unit or LFP data...) or the modelling of spiking neural circuits is a plus. The candidate will work with researchers performing in vivo recordings in control and epileptic animals (Christophe Bernard, Pascale Quilichini...) and theoreticians (Demian Battaglia, Viktor Jirsa...) at the Institute of Systems Neuroscience in Marseille. Interactions are possible also with other French labs (e.g. University of Strasbourg) and with clinicians. If interested, the candidate will also be offered the possibility to learn in vivo electrophysiology. Aix-Marseille University is a large, international university with a rich and diverse Neuroscience community, in the vibrant multicultural city of Marseille with magnificent natural surroundings and excellent high-speed train and flight connections to major cities in Europe. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. The maximum duration is three years. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christophe.bernard(a)inserm.fr and demian.battaglia(a)univ-amu.fr Application review will proceed until the position is filled. References Clawson, W., Vicente, A.F., Ferraris, M., Bernard, C., Battaglia, D., Quilichini, P.P., 2019. Computing hubs in the hippocampus and cortex. Sci Adv 5, eaax4843. doi:10.1126/sciadv.aax4843 Pedreschi, N., Bernard, C., Clawson, W., Quilichini, P., Barrat, A., Battaglia, D., 2020. Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus. Netw Neurosci 4, 946–975. doi:10.1162/netn_a_00142 Clawson, W., Madec, T., Ghestem, A., Quilichini, P.P., Battaglia, D., Bernard, C., 2021. Disordered information processing dynamics in experimental epilepsy. bioRxiv. doi:10.1101/2021.02.11.430768 Debski, K.J., et al.... , Bernard, C., 2020. The circadian dynamics of the hippocampal transcriptome and proteome is altered in experimental temporal lobe epilepsy. Sci Adv 6. doi:10.1126/sciadv.aat5979 Demian Battaglia CNRS researcher - Institute for Systems Neuroscience (INS) Theoretical Neuroscience Group - Aix-Marseille Université & Visiting fellow - University of Strasbourg Institute for Advanced Studies (USIAS) @Laboratory for Cognitive and Adaptive Neurosciences (LNCA)

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Comp Neuro PhD Position at Moreno-Bote lab, Barcelona
by Ruben Moreno Bote 04 Mar '21

04 Mar '21

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI, ICREA and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2021 and January 2022 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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research fellow: open and reproducible science core facility
by Jochem Rieger 04 Mar '21

04 Mar '21

We have an open research fellow position (salary at post-doctoral level) for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure for open data data and reproducible science based on the BIDS standard. The position complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. The application deadline is March 12th We are looking forward to applications, Jochem *Scientific Research Associate m/f/d* *(Salary level E13 TVL, 100%)* ** for the development of acquisition, storage and processing pipelines for open and reproducible science building on the BIDS standard. In a newly funded project we aim to implement data storage and processing pipelines for open and reproducible science based on the BIDS standard. The successful candidate is expected to actively contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts and dissemination. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, e.g. demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowlegde of German are desirable. The position is embedded in a DFG Core Facility grant and is availableas soon as possibleuntil30^th of September^.2023 (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. The Neuroimaging Unit hosts a state of the art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany (jochem.rieger(a)uol.de <mailto:jochem.rieger@uol.de>). Electronic applications (*one*pdf file) are preferred. For inquiries please use the same contact. The application deadline is*12^th of**March 2021*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Announcing 3 NeuroML hackathon sessions at HARMONY 2021
by Padraig Gleeson 03 Mar '21

03 Mar '21

*[Apologies for cross-posting]* ** ** *We will be running 3 online NeuroML <https://neuroml.org/> hackathon sessions during the upcoming HARMONY 2021 <http://co.mbine.org/events/HARMONY_2021>meeting on 23-25th March. * ** ** *The general theme of the sessions will be: Learn to build, visualise, analyse and simulate your models using NeuroML.* * Why take part? These hackathons will give members of the modelling community the chance to: * Get high level introductions to the NeuroML language and toolchain * Meet the NeuroML core development team and editors * Find out the latest information on which simulators/applications support NeuroML * Open, discuss and work on issues related to converting your model to NeuroML, or supporting NeuroML in your simulator * Learn how to share your models with the community Times and dates All sessions will be online and take place over 3 hours (9am-noon Pacific; 12-3pm EST time; 4-7pm UK/UTC; 5-8pm CET, 9:30pm-12:30am IST; note non-standard US/EU time differences that week). The broad focus of each of the sessions (dependent on interests of attendees) is: **Tues 23rd March: Introduction to NeuroML, general questions about usage **Wed 24th March: Detailed cell/conductance based models (e.g. converting channels to NeuroML) **Thus 25th March: Abstract/point neuron networks including PyNN interactions Registration To take part in the hackathon, please register at http://co.mbine.org/events/HARMONY_2021 <http://co.mbine.org/events/HARMONY_2021>for the HARMONY meeting (registration is free). You will get sent details to access the agenda on https://harmony2021.sched.com, which will have links to the Zoom sessions for each of the days. Open an issue beforehand! While it will be possible to raise and discuss new issues at the hackathons, it will be easier to manage and plan work/discussions if you open an issue with a description of the problem you are trying to address at: https://github.com/NeuroML/NeuroML2/issues <https://github.com/NeuroML/NeuroML2/issues>. Slack To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please reply to this mail for an invite. We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! * ----------------------------------------------------- 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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Two postdoctoral fellow positions in theoretical neuroscience
by Yoram Burak 03 Mar '21

03 Mar '21

The Burak Lab at the Hebrew University and the Moser lab at the Kavli Institute for Systems Neuroscience (KISN) are seeking two postdoctoral fellows in theoretical neuroscience, to take part in a joint ERC-funded project. The project aims to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Theory fellows taking part in the project will work on diverse theoretical and computational questions, which involve approaches ranging from pure theoretical modelling to analysis and interpretation of large scale neural data. Computational tools involve methods from nonlinear dynamics, machine learning, statistical physics, and information theory. The two theory postdoctoral fellows will be based in Jerusalem, and are expected to interact closely with members of both labs, both remotely and during visits to the KISN in Trondheim. A generous budget will be available for travel between Israel and Norway, for travel and participation in scientific meetings, and for purchase of computing equipment. We are looking for candidates with excellent demonstrated abilities in theoretical research, strong intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. A strong research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field is required. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are advantageous. *To apply:* Please send the following information to kiloneurons-positions(a)elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references *Deadline*: For full consideration, applications must be received by March 31, 2021. After this date, if positions are not filled, applications will be considered on a rolling basis. ___ Yoram Burak Associate Professor Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem p: +972-2-6584523 w: https://www.buraklab.me/ a: Goodman Brain Sciences Bldg 2102, Safra Campus, Jerusalem 91904, Israel

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IMRF (International Multisensory Research Forum) postponed to July 04-07 2022 in Ulm, Germany
by Marc Ernst 03 Mar '21

03 Mar '21

Dear participants of the IMRF, Unfortunately, the COVID-19 pandemic situation is still affecting all our lives and the prediction for summer 2021 does not look like it will allow all of us travelling internationally without restrictions or holding a meeting in closed spaces with many people present. As many other conferences, we also considered moving to an online format for the International Multisensory Research Forum (IMRF) (https://cops.ifp.uni-ulm.de/imrf2020/ <https://cops.ifp.uni-ulm.de/imrf2020/>). However, we feel the community would not benefit as much as having a meeting in person. Therefore, with a heavy heart we decided once again (and hopefully for the last time) to postpone the „annual“ IMRF meeting. The new dates are July 04-07, 2022. Abstract submission and registration will stay open. All abstracts already submitted will be further considered. However, you can of course log on and adapt your abstracts (or symposia) until the new deadline for abstract submission. We will announce the new deadlines in due time. The abstract submission and registration page can be found here <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. Also registrations will stay valid in case you already registered. Otherwise new registration dates will be announced shortly. Sorry for the inconvenience this third postponement may cause and thanks for your understanding. Be safe and stay healthy!!!! Best, Mac Ernst on behalf of the IMRF Organizers. --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

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PhD in ML and AI - two VC Scholarships
by Konstantin Nikolic 02 Mar '21

02 Mar '21

Two Vice-Chancellor Scholarship PhD positions in Machine Leaning are available in the “Learning and Intelligence” group of Prof Konstantin Nikolic at University of West London, UK. The group’s interests are mostly in modelling biological systems and AI/ML related to bio-inspired themes. Potential project topics include (but are not limited to, since these scholarships are not project linked): Learning in Spiking Neural Networks (SNNs), Neuromorphic robots controlled by SNNs (available are SpiNNaker boards, Dynamic Vision Sensors, etc, for example see: https://www.youtube.com/watch?v=135fH21QXtg) Data-driven ML algorithms based on information theory and their applications (such as medical diagnostics, video/image analysis, financial/economic or some other large dataset analysis), Neural microcircuits of learning and cognitive modelling, etc. We are also interested in developing ML algorithms for controlling neuromodulatory implants. Research related to Theoretical and Computational neuroscience could be also interesting, especially if exploring some new ideas related to learning in relatively simple biological systems. The researchers will be based in the School of Computing and Engineering at University of West London, with possible close collaboration with the Centre for Bio-Inspired Technology at Institute of Biomedical Engineering, Imperial College London. Informal enquires can be directed to konstantin.nikolic(a)uwl.ac.uk<mailto:konstantin.nikolic@uwl.ac.uk>. The School enjoys state-of-the-art facilities and infrastructure and continues to invest heavily in its improvement. The UWL, sourcing its origins from the Lady Byron School in 1860, is a leading modern university in the UK, consistently progressing in the league tables for the past several years. The life on campus is enriched with frequent high-quality live performances and plays given by the students from our London College of Music and London School of Film, Media and Design, the two hubs of talent and creativity. The positions are advertised here: https://www.jobs.ac.uk/job/CCB695/phd-in-machine-learning-and-artificial-in…<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jobs.…> Konstantin Nikolic, PhD Professor in Computer Science (AI, ML, Data) at University of West London Viiting Professor at Imperial College London (Institute of Biomedical Engineering) School of Computing and Engineering University of West London Ealing campus St Mary’s Road London W5 5RF UK email: konstantin.nikolic(a)uwl.ac.uk<mailto:konstantin.nikolic@uwl.ac.uk>, k.nikolic(a)imperial.ac.uk<mailto:k.nikolic@imperial.ac.uk> web: https://www.uwl.ac.uk/users/konstantin-nikolic, https://www.imperial.ac.uk/people/k.nikolic

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Job Opening in Juelich, Germany: Postdoc in Computational Neuroscience - Priority Program 2041Computational Connectomics
by Martina Reske 02 Mar '21

02 Mar '21

The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The subinstitute INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Priority Program "Computational Connectomics" is a Germany-wide collaboration aiming at comprehensive descriptions of neuronal network connectivity and insight into its relationships to brain dynamics and function. The candidate will strengthen our team in the project “Cellular, connectional and molecular heterogeneity in a large-scale computational model of the human cerebral cortex”, which is embedded in the context of the Priority Program. It will be supervised by Prof. Sacha van Albada and is a collaboration with Dr. Alexandros Goulas (UKE Hamburg) and Dr. Timo Dickscheid (INM-1, Jülich Research Center). This collaboration links cytoarchitecture (Dr. Dickscheid) to connectomics (Dr. Goulas) and finally cortical network dynamics (Prof. van Albada). Simulations using the neural network simulation tool NEST on the Jülich supercomputers provide the unique opportunity for investigating spiking cortical models at the full density of neurons and synapses. We are looking to recruit a Postdoc in Computational Neuroscience - Priority Program 2041 Computational Connectomics Your Job: * Extending and refining a large-scale spiking neural network model of human cerebral cortex * Investigating the origins of area- and layer-specific cortical timescales and oscillations * Supervising PhD and Master students * Maintaining active collaborations with project partners * Writing, documenting, and publishing high-quality simulation, analysis, and visualization scripts * Presenting project results at national and international conferences * Publishing project results in peer-reviewed international journals Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * PhD in computational neuroscience * Extensive experience with neural network simulations and analytical mean-field theory * Excellent knowledge of cortical anatomy and physiology * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently * Good social and student supervision skills * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Full-time position with the option of slightly reduced working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 year, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. Please apply via our online recruiting system<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…>, quoting the reference number 2021-091. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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[job] Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural task
by Mingbo Cai 02 Mar '21

02 Mar '21

Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural tasks We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 3-year postdoctoral position is available at Dr. Mingbo Cai’s lab at the International Research Center for Neurointelligence, The University of Tokyo. You will work on an exciting international collaboration project co-funded by AMED of Japan and DFG of Germany directed by both Dr. Cai <https://cailab-ircn.org/> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up for 3 years, with a probation period of 6 months. Starting date: On or after April 1, 2021. *Requirements* (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: *Preferred skills:* (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. *Application procedure:* Please send an email with title “[Postdoc Application] + your name” to mingbo.cai(a)ircn.jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster. Informal inquiry can also be sent to Dr. Cai. *Application deadline:* The first deadline is March 31. The position will remain open until filled. We encourage early application as the review can start before the deadline. Mingbo Cai Principal Investigator International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/ Mingbo Cai

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WorldWideNeuRise online seminar series on inter-areal communication
by William Podlaski 01 Mar '21

01 Mar '21

WorldWideNeuRise is an online seminar series affiliated with WorldWideNeuro and eLife which aims to give early career researchers a chance to share their work. We will have several talks throughout March-April on the topic of inter-areal communication from the following speakers: Wednesday, 3 March, 5pm CET Arseny Finkelstein (Svododa lab, Janelia HHMI) Wednesday, 10 March, 5pm CET Aleena Garner (Keller lab, Friedrich Miescher Institute) Kelly Clancy (Mrsic-Flogel lab, University College London) Wednesday, 24 March, 5pm CET Matthew Perich (Rajan lab, Mount Sinai) Evren Gokcen (Yu lab, Carnegie Mellon University) Wednesday, 7 April, 5pm CET Monique Smith (Malenka lab, Stanford University) Adi Kol (Goshen lab, Hebrew University of Jerusalem) Wednesday, 21 April, 5pm CET David Tingley (Buzsáki lab, New York University) Javad Karimi Abadchi (Mohajerani & McNaughton labs, University of Lethbridge) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are looking forward to seeing you there! The organising committee, Ellen Boven (Apps lab, U Bristol) Christina Buetfering (Häusser lab, U College London) Lucie Descamps (Kentros lab, NTNU) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Sprekeler lab, TU Berlin) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud)

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Registration open for the second Canadian Computational Neuroscience Spotlight (CCNSv2)
by Scott Rich 01 Mar '21

01 Mar '21

Dear Comp-Neuro Mailing List, Last year, the Canadian Computational Neuroscience Spotlight <https://www.crowdcast.io/e/CCNS/register> (CCNS) was one of the first neuroscience conferences to successfully transition into the virtual space <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…> due to the COVID-19 pandemic, with more than 450 registrants from across the globe. Given the overwhelmingly positive feedback we received from this first meeting, we are excited to announce a “v2” of the conference will take place this coming May 17-18, and registration is now open <https://www.crowdcast.io/e/ccnsv2/register>. We are hoping that you will not only register for the meeting, but advertise it via email listservs, social media, and any other avenues you deem appropriate. CCNSv2 will feature four sessions chaired by internationally recognized computational neuroscientists on topics that bridge the multiple scales at which neuroscience research, both computationally and experimentally, is performed. Three of our four chairs are currently confirmed: *Dr. Etay Hay* of the Krembil Centre for Neuroinformatics, *Dr. Maurizio de Pitta *of the Basque Center for Applied Mathematics, and *Dr. Bratislav Misic* of McGill University. As CCNS was designed as a “trainee focused” meeting, each session will begin with a tutorial talk in which a topic of importance will be introduced for a broad audience. We also will host two panel discussions, one with experienced computational neuroscience researchers and the other with ECRs and current trainees, to provide a forum for trainees to ask questions of scientists at various stages of their careers. We invite all trainees to submit an abstract <https://docs.google.com/forms/d/e/1FAIpQLSdCRPkDuPdoS3M7PISDITXfB__rWDiFEi9…> to give a “trainee talk” at the meeting. We anticipate accepting all applications that reasonably fall under the broad banner of computational neuroscience unless the demand far exceeds our expectations. We will also provide an additional spotlight to four talks that are both the most meritorious and best fit with the focused themes of the meeting. Please do not hesitate to contact us if you have any further questions regarding this meeting or manners of advertising it. We look forward to seeing you at CCNSv2! Sincerely, The CCNS Organizing Committee Scott Rich <http://scottrich.strikingly.com/>, Ph.D.: Postdoctoral Research Fellow, Krembil Research Institute Andreea Diaconescu <https://cognemo.com/>, Ph.D.: Independent Scientist, Krembil Center for Neuroinformatics at CAMH John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D.: Independent Scientist, Krembil Center for Neuroinformatics at CAMH Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D.: Scientist, Krembil Research Institute

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Computational Brain Reimagined
by Aurel A. Lazar 01 Mar '21

01 Mar '21

In recent years, the growing wealth of Drosophila neuroscience data have become available including cell type and connectome/synaptome datasets for both the larva and adult fly. To facilitate integration across data modalities and to accelerate the understanding of the functional logic of the fruit fly brain, we have developed FlyBrainLab, a unique open-source computing platform that integrates 3D exploration and visualization of diverse datasets with interactive exploration of the functional logic of modeled executable brain circuits. For a brief description, see the eLIFE paper: "Accelerating with FlyBrainLab the Discovery of the Functional Logic of the Drosophila Brain in the Connectomic Era”, February 2021, https://elifesciences.org/articles/62362 Further details are available on the Fruit Fly Brain Observatory website at https://www.fruitflybrain.org/#/ <https://www.fruitflybrain.org/#/> Here you will find guides to a wealth of fruit fly brain datasets and libraries to interactively explore circuit models. Check out "Exploring the Fruit Fly Brain Observatory” at https://www.fruitflybrain.org/#/posts/explore_ffbo <https://www.fruitflybrain.org/#/posts/explore_ffbo> and the links to open source code posted on Github: https://www.fruitflybrain.org/#/posts/resources <https://www.fruitflybrain.org/#/posts/resources> Best, Aurel http://www.bionet.ee.columbia.edu

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 01 Mar '21

01 Mar '21

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-20 March 2021. This is a practical self-paced course for researchers and students who wish to program their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org/>). Participants learn the art of programming differential equations and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Sunday 6th March, 2021. Late enrolments ($150) close Saturday 20th March, 2021. Stewart Heitmann Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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[CFP] Submission deadline extended to Mar 5: ICLR Workshop on How Can Findings About The Brain Improve AI Systems?
by Mariya Toneva 28 Feb '21

28 Feb '21

ICLR 2021 - Workshop on "How Can Findings About The Brain Improve AI Systems?" Submission deadline: extended to March 5, 2021 Workshop website: https://iclrbrain2ai.github.io/ Contact: brain2ai.2021(a)gmail.com We will consider the following (non-exhaustive) list of topics for contribution: - Integration of neuroscientific data at different granularities (neural recordings, neuroimaging etc.) to train AI systems - Brain-inspired inductive biases and ML architectures for AI systems - Neuroscientific data as an evaluation metric for AI systems - Mechanistic insight into cognitive functions (vision, language, decision making, attention, etc.) - Limitations of current AI systems in tasks at which humans excel (compositionality, commonsense reasoning, continual learning, few-shot learning, causality, etc.) - Cross-modality and cross-species comparisons of neuroscientific data with respect to benefits to AI - Datasets that can facilitate the transfer of neuroscientific insight to AI Submit at: https://cmt3.research.microsoft.com/BRAIN2AI2021/Submission/Index The workshop will feature a diverse set of topics led by the following invited speakers and panelists (in alphabetical order): 1. Anima Anandkumar, California Institute of Technology 2. David Cox, Harvard University 3. Kenji Doya, Okinawa Institute of Science and Technology Graduate University 4. Allyson Ettinger, University of Chicago 5. Alona Fyshe, University of Alberta 6. Jack Gallant, University of California, Berkeley 7. Andrea Martin, Max Planck Institute for Psycholinguistics 8. Kim Stachenfeld, DeepMind 9. Josh Tenenbaum, MIT

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Postdoctoral Fellow/Research Associate position in the Theoretical and Computational Neuroscience group at Drexel University
by Ilya Rybak 26 Feb '21

26 Feb '21

The Theoretical and Computational Neuroscience group at the Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA (https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research…) has an open Postdoctoral Fellow/Research Associate position in computational neuroscience to work on computational modeling of neural circuits in the brainstem and spinal cord involved in the neural and biomechanical control of mammalian locomotion. The modeling studies in the group are performed in close, interactive collaborations with several leading laboratories in the US, Canada and Europe performing the related experimental investigations, as well as with several investigators and groups focusing on control of legged robot locomotion. The successful applicant should have strong programming skills, some background in neuroscience and experience in modeling of biological neurons and neural networks. Some mathematical background is desirable. An experience in computational modeling of biomechanics is a plus. If you are interested, please email your CV, statement of research interest, and names of three references to Ilya Rybak (rybak(a)drexel.edu<mailto:rybak@drexel.edu>). The position will remain open until filled. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 Email: rybak(a)drexel.edu https://pubmed.ncbi.nlm.nih.gov/?term=rybak+IA&sort=date <https://www.researchgate.net/profile/Ilya_Rybak/publications/> http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://rybak-et-al.net http://www.drexel.edu/medicine/About/Departments/Neurobiology-Anatomy/Resea…

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Job opening in Juelich, Germany: Coordinator Software Development -, Neuronal Data Analysis Tools
by Martina Reske 26 Feb '21

26 Feb '21

The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The subinstitute Computational and Systems Neuroscience (INM-6) consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations. As part of the group, the team for Data Science in Electro- and Optophysiology Behavioral Neuroscience, headed by Dr. Michael Denker, develops software tools and processes to support reproducible data acquisition, analysis and model validation using state-of-the-art approaches from neuroinformatics in the spirit of co-design with scientists and closely integrated with the EBRAINS services of the Human Brain Project. To strengthen our international and interdisciplinary team we are looking to recruit a Coordinator Software Development - Neuronal Data Analysis Tools Your Job: * Agile development, maintenance, coordination and distribution of the open-source Elephant analysis software (python-elephant.org) and closely related software tools, including handling inquiries and contributions via issue systems and similar channels * Design of implementations of library features and statistical analysis tools for neuronal data * Development of solutions for software packaging, including deployment on HPC systems * Maintenance and improvement of the interactive software documentation, including content for the presentation of the software on the web and on social media * Parallelization of analysis codes using modern technologies * Development of a service-based architecture for analysis tasks * Review and evaluation of software contributions from a world-wide community with respect to scientific content, the code maturity, and the possibility to be integrated into the Elephant software * Co-design and dissemination of generic conceptual guidelines and project-specific implementations for scientific workflows * Close interaction with developers of EBRAINS and across the globe * Representing the technology at scientific conferences, during educational courses, to the public, and within the framework of the EU Flagship Project “Human Brain Project” Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * Very good expertise in the programming languages Python and C/C++; knowledge of Matlab and web-based technologies (e.g., javasscript); experience with parallelization techniques (e.g., MPI) and in the standard Linux tools; experience in web-based services for managing software (version control, issue tracking, CI,…) * Experience in implementing scientific analysis methods and creating documentation and course material * Experience in maintaining open source software projects * High ability to work in an interdisciplinary, international team * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently, systematically and on one’s own responsibility * Good communication skills with software developers and scientists * Willingness to travel Note that it is not necessary to fulfil all of these requirements in order to be considered for the position Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology * World class science environment at the interface between neuroscience and technology on the most complex known systems * Excellent scientific equipment including the fastest supercomputer in Europe * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Flexible working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. Limited until 31.03.2023, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13-14 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 28.03.2021 via our Online-Recruitment-System<https://www.hrecruiting.de/obf2/index.php?kunden_nr=t5ChjatkIfdwmACO&link_i…>! Kind regards Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by Yukie Nagai 26 Feb '21

26 Feb '21

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 have the opportunity to pursue interdisciplinary research integrating computer science, robotics, neuroscience, cognitive science, and psychology. If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-lab… Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2022. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget and research achievements. 4. Place of Work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Computer Science, Ph.D. in Engineering, or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics are preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications - Deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp 10. Selection Process All applications will be screened, and only those qualified will be scheduled for an online interview. --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Computational postdoctoral position in the lab of Nancy Kopell
by McCarthy, Michelle M 25 Feb '21

25 Feb '21

The group of N. Kopell has an opening for an energetic postdoctoral fellow who will work with experimentalists Don Arnold, Scott Fraser and others on fear conditioning and extinction in zebra fish. Such learning is known to involve temporally complex alterations in multiple brain rhythms in multiple areas of the brain, and the postdoc will work with the Kopell group and the experimentalists to understand the origin of the rhythmic changes and the effects on plasticity needed for conditioning and extinction. The relevant data involve state of the art imaging with a spatial resolution of single spines and temporal resolution fast enough to record fast brain oscillations. The relevant computations will involve networks of biophysically detailed model neurons. The successful applicant will have some background in neuroscience and experience in coding with biophysically detailed equations. Some mathematical background is desirable. If you are interested, please email Kopell: nk(a)bu.edu<mailto:nk@bu.edu>, and have three letters of recommendation sent to her via email. Also include a CV and a statement of research interests.

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Adrienne L Fairhall 25 Feb '21

25 Feb '21

We are thrilled to announce the *Shanahan Foundation Fellowship at the Interface of Data and Neuroscience* co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) in Seattle. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to *Integrate Data Scientists into Neuroscience Research*. Fellows will receive interdisiplinary co-mentorship by scientists from the Allen Institute and University of Washington. Data science is broadly interpreted to include those with PhD level training in relevant areas including physical sciences, mathematics, statistics and computer science. Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov 25 Feb '21

25 Feb '21

Announcing the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) and directed by Christof Koch, Ph.D.<https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profil…>, Chief Scientist for the MindScope Program at the Allen Institute. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to Integrate Data Scientists into Neuroscience Research and provides Multidisciplinary, Multi-organizational Co-Mentorship (from the Allen Institute and University of Washington). Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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CFP for PhD candidates in SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING
by Chaabane Djeraba 25 Feb '21

25 Feb '21

The FOX research team from the CRIStAL laboratory (UMR CNRS) of Lille University - FR, in collaboration with bio-inspired team of Kent University - UK is looking for PhD student candidates on the following subject : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Title : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Abstract of the PhD subject : The objective of the PhD thesis is the study of bio-inspired pattern recognition of atmospheric phenomena, from earth observation satellite. In particular, the thesis project studies neuromorphic learning approach for the classification of spatiotemporal image sequences available in large quantities and without terrain truth or with very limited terrain truth. The data are aerosols, collected from earth observation satellites. The results of the thesis will contribute to make a large amount of atmospheric data accessible, even exploitable by the scientific community in the domain of the detection, tracking and prediction of the air quality. We are looking for excellent PhD candidates in thre domain of AI applied to atmospheric data. Key words : Spike neural network, Machine learning, Artificial intelligence, atmospheric data mining Candidates must hold a Master degree in Computer Science, Mathematics, Statistics. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in Python, Java or C++). More details are available here : https://filesender.renater.fr/?s=download&token=76a3ba06-63af-43a7-a34a-40e… The PHD thesis will be funded in the framework of the AI_PhD@Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ http://www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_… www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_I_Site… The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD@Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 20.03.2021. — Chaabane Djeraba (PhD), Professeur, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, Bat. IRCICA, 50 avenue Halley, 59650 Villeneuve d’Ascq, France, chabane.djeraba(a)univ-lille.fr

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Open Master, PhD and Postdoc positions in Germany
by Tatjana Tchumatchenko 25 Feb '21

25 Feb '21

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD projects are currently open: 1) A project exploring the intersection of protein dynamics and machine learning 2) A project designing models describing protein dynamics in dendrites and analyzing imaging data, https://jobrxiv.org/job/institute-of-experimental-epileptology-and-cognitio… The postdoctoral position will address the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

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PhD position in cognitively-inspired reinforcement learning for robotics at Sheffield, UK
by Aditya Gilra 25 Feb '21

25 Feb '21

Dear all, Announcing a PhD position with Dr Aditya Gilra and Dr James Law at the University of Sheffield, UK on "Incorporating self- and world-models in neural networks for flexible robot learning and control". The position is funded for 3.5 years by the EPSRC. Details at: https://www.findaphd.com/phds/project/incorporating-self-and-world-models-i… Candidates will be interviewed on a rolling basis as the applications come in. International (non-UK) candidates are advised to apply well in advance of the 7th March deadline. Don't hesitate to email back for further details. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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Three Post-Doc / Research Associate positions in 'Causal eXplainable Reinforcement Learning' project at Sheffield / Vienna / Lille
by Aditya Gilra 25 Feb '21

25 Feb '21

Dear All, Announcing three post-doc / research associate openings to work closely together as part of a ~3 year Chist-Era project, to develop causal inference methods for explainable actions in reinforcement learning ( https://www.chistera.eu/projects/causalxrl) starting in ~Q2, 2021: -> At the University of Sheffield with Dr Aditya Gilra and Prof Eleni Vasilaki, with an emphasis on biologically-plausible neural circuits -- https://www.jobs.ac.uk/job/CEH708/research-associate-in-causal-explainable-… (Deadline: 18th March 2021, but might be extended). -> At the University of Vienna with Prof Moritz Grosse-Wentrup, with an emphasis on causal inference and brain-computer interfaces -- https://ni.cs.univie.ac.at/ (ad to appear). -> At INRIA Lille with Prof Philippe Preux, with an emphasis on reinforcement learning and applications -- https://jobs.inria.fr/public/classic/en/offres/2020-03209 (Deadline: 31st March 2021). Please feel free to email back for any further information. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science <https://www.sheffield.ac.uk/dcs>, University of Sheffield <https://www.sheffield.ac.uk/>, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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Call for a Postdoctoral Researcher in Cognitive and Computational Neuroscience
by Sidarus, Nura 24 Feb '21

24 Feb '21

Dear colleagues, Applications are invited for a Post-doctoral Researcher to work with Dr Nura Sidarus as part of the ESRC funded project “A Computational Approach to Understanding Maladaptive Cognition in Depression”, at Royal Holloway University of London. The project will investigate the neurocomputational mechanisms of maladaptive cognition underlying depressive symptoms, through online, clinical, and neuroimaging studies focusing on attribution and value-based decision-making and learning. We are looking for talented, highly-skilled and motivated researchers with a PhD in a related field (e.g. neuroscience, psychology or cognitive science), with considerable experience applying mathematical modelling techniques to data. Strong abilities in programming and statistics are essential. Expertise in neuroscience of mental health and fMRI are highly desirable. The preferred start date is Summer 2021, or as soon as can be arranged, for up to December 2022. Informal enquiries may be made to Dr Nura Sidarus at Nura.Sidarus(a)rhul.ac.uk<mailto:Nura.Sidarus@rhul.ac.uk> and more information about the grant can be found here<https://gtr.ukri.org/project/87F3B93A-C9BD-4240-BBDC-7596C165DFBF>. Deadline: 6 April 2021 Full details and how apply at: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0221-029<https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0221-029> Best wishes, Nura. __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Department of Psychology Royal Holloway University of London | Egham | Surrey | TW20 0EX Office: Wolfson 248 | Tel: +44 (0) 1784 44 3717 Affiliate Member | Institute of Cognitive Neuroscience, UCL nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | www.nurasidarus.com<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Tenure Track in Complex Systems/Neurophysics
by Andre Longtin 24 Feb '21

24 Feb '21

Tenure-track Position in Theoretical Physics of Complex Systems University of Ottawa, Faculty of Science The Department of Physics of the University of Ottawa seeks to fill a tenure-track position in theoretical physics of complex systems. Theoretical neurophysics/artificial intelligence is the main target area for this search, but strong applicants working in complex systems more broadly applied to biological physics, condensed matter physics, photonics, statistical physics, and nonlinear dynamics will be considered. Title of the position: Assistant level but exceptional candidates at higher academic levels are also encouraged to apply. Duties: The functions of a member of the academic staff include, in varying proportions: a) teaching activities; b) scholarly activities pertaining to research and/or professional work; c) academic service activities, d) supervision of graduate students. Terms: Tenure-track position. Wage: As per collective agreement. Benefits package: The University of Ottawa provides a complete compensation package which includes long term disability, basic group life insurance, supplementary health insurance, University of Ottawa Pension Plan, optional life insurance and paid leaves (including maternity, parental and academic leaves: https://hrdocrh.uottawa.ca/info/en-ca/apuo/index.html) Location of work: Department of Physics, University of Ottawa, STEM Complex, 150 Louis-Pasteur, Ottawa, ON K1N 6N5. Contact information: James Harden, Chair, Department of Physics: phychair(a)uottawa.ca<mailto:phychair@uottawa.ca> . Skills requirements: * Education: Ph.D. or equivalent in Physics. * Work experience: Due to the bilingual nature of our major undergraduate program, the successful candidate should be able to teach in French within a year of the appointment. The candidate is expected to lead a vigorous research program, and to contribute to teaching in the major and honors BSc in Physics as well as at the graduate level. We expect a demonstrated interest in interacting with other theorists and experimentalists in the department as well as in the Centre for Neural Dynamics and the Brain and Mind Research Institute, the Centre for Research in Photonics, the Max Planck-uOttawa Centre for Extreme and Quantum Photonics, and/or the Centre for Advanced Materials Research. Posting No.: 21016-SCI www.uottawa.ca/vice-president-academic/faculty-relations/faculty-recruitmen… Application deadline: April 30, 2021. The application material consists of a CV, a two-page summary of research plans and a one-page teaching statement, along with the contact information for three referees. The application should be emailed to Sophie Grimard (sgrimard(a)uottawa.ca<mailto:sgrimard@uottawa.ca>), secretary to the Chair Prof. James Harden, by April 30, 2021. The University of Ottawa is committed to ensuring equity, diversity and inclusion in the scholarly and leadership environments of our students, staff, and faculty. Accordingly, we strongly encourage applications from Indigenous persons, visible minorities members (racialized persons), persons with disabilities, women, as well as from all qualified candidates with the skills and knowledge to productively engage with equitable, diverse and inclusive communities. Candidates who wish to be considered as a member of one or more designated groups are asked to complete the confidential Self-Identiﬁcation Questionnaire, to be completed at the time of application. Please take note of this posting number. This questionnaire can be found online. According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadians and permanent residents. When submitting your application, please indicate if you are legally entitled to work in Canada. The University of Ottawa provides accommodations for applicants with disabilities throughout the recruitment process. If you are invited to proceed in the selection process, please notify us of any accommodations that you require by contacting the Office of the Vice-Provost, Faculty Relations at 613-562-5958. Any information you send us will be handled respectfully and in complete confidence. The University of Ottawa is proud of its 160-year tradition of bilingualism. Through its Official Languages and Bilingualism Institute, the University provides training to staff members and to their spouses in their second official language. At the time of tenure, professors are expected to have the ability to function in a bilingual setting. Notice of Collection of Personal Information In accordance with the Freedom of Information and Protection of Privacy Act (Ontario) and with University Policy 90, your personal information is collected under the authority of the University of Ottawa Act, 1965 and is intended to be used for the purpose of and those consistent with your employment application and the administration of your employment relationship, if established. If you have any questions regarding this collection of personal information, please contact Office of the Vice-Provost, Faculty Relations at (613) 562-5958 or by email at vra.affairesprofessorales(a)uottawa.ca<mailto:vra.affairesprofessorales@uottawa.ca>.

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'What is self-organizaton?' -- Entropy sepcial issue
by Claudius Gros 24 Feb '21

24 Feb '21

Dear colleagues Together with Damian Zanette, we are editing a an Entropy special issue around a question, that is of particular interest to the neurosciences: 'What is self-organizaton?' Deadline: 15 October 2021 https://www.mdpi.com/journal/entropy/special_issues/self_organzation ------ info ------ Many of us have used the notion of `self-organization' in our studies. What is it precisely, though? A constituent element could be, e.g., the emergence of non-trivial properties from comparatively simple rules. What would simple, non-trivial or complex emergence mean in this context? In this Special Issue, we invite viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. Examples include: Routes In how many different ways can self-organization manifest itself? Would it be meaningful, or even possible, to attempt a classification? Detection Can we detect it automatically, either the process or the outcome? Or do we need a human observer to classify a system as `self-organizing'? This issue may be related to the construction of quantifiers, e.g., in terms of functions on phase space, such as entropy measures. Complexity Is a system self-organizing only when the resulting dynamical state is `complex'? What does `complex' mean exactly? Are there many types of complexity, or just a single one? E.g., it has never been settled whether complexity should be intensive or extensive, if any. Domains Where do we find self-organizing processes? Are the properties of self-organizing systems domain-specific or universal? In which class of systems does self-organization show up most clearly? We are looking forward to your contribution! Claudius Gros %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ### ### 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 ###

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INCF/OCNS Software WG: Dev sessions on Brian (11th Feb) and NeuroFedora (16th Feb)
by Ankur Sinha 22 Feb '21

22 Feb '21

Hello everyone, Apologies for the cross-posts. The INCF/OCNS Software Working Group (WG)[1] is happy to announce its first set of "Dev sessions" where members of the developer teams of commonly used neuroscience software will introduce their software and then discuss their *development* pipelines. 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. Two sessions are currently scheduled: - Marcel Stimberg will speak about the development of the Brian simulator on Feb 11, 2021 1700 UTC[2]. Zoom link: https://ucl.zoom.us/j/91389216854?pwd=cFVWaXRYVFRUdll2c09Xb3dBS2FWQT09 - Ankur Sinha will speak about the development of the NeuroFedora Linux distribution on Feb 16, 2021 1700 UTC[3]. Zoom link: https://ucl.zoom.us/j/94964460359?pwd=MTJmWEY1NHRxd3l4ZGdtTS9NQ1FaZz09 (To prevent spamming/trolling during these sessions, you will need to login to your Zoom account to join them. These sessions will be recorded and made available for later viewing also.) Sessions on GeNN and Neurolib will also follow shortly. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG either on INCF's Neurostars platform[4] or on our GitHub repository[5]. 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://ocns.github.io/SoftwareWG/pages/about.html [2] https://ocns.github.io/SoftwareWG/2021/02/07/dev-session-marcel-stimberg-br… [3] https://ocns.github.io/SoftwareWG/2021/02/07/dev-session-ankur-sinha-neurof… [4] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [5] https://github.com/OCNS/SoftwareWG/issues On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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PhD Student position at the interface of neuroscience and machine learning
by Rava A. da Silveira 20 Feb '21

20 Feb '21

The lab of Rava Azeredo da Silveira invites applications for a *PhD Student position* at the *interface of computational neuroscience and machine learning*, at the Institute of Molecular and Clinical Ophthalmology Basel (IOB) in Switzerland, an associated institute of the University of Basel. Research projects will involve modeling and data analysis; some projects will be carried out in the framework of collaborations with experimental labs. Questions will be chosen from a range of topics involving neural representations as relating to behavior, neural coding, dynamics and learning. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, and engineering are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 15 March 2021. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter on motivation and interests; 2. curriculum vitæ; 3. transcripts of undergraduate and Master grades. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-PHD” in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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Postdoc opening at the interface of cognitive science and machine learning
by Rava A. da Silveira 20 Feb '21

20 Feb '21

The lab of Rava Azeredo da Silveira invites applications for a *Postdoctoral Researcher* position at the *interface of theoretical/computational cognitive science and machine learning* at the Institute of Molecular and Clinical Ophthalmology Basel (IOB) in Switzerland, an associated institute of the University of Basel. Research questions will be chosen from a range of topics involving models of decision making, learning, and memory, with a particular focus on the structure of human inference, the nature of internal representations/latent variables, and behavioral variability. While the projects will be primarily theoretical, they will involve data analysis and may be complemented with behavioral experiments or carried out in collaboration with experimental labs. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 15 March 2021. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ including a list of publications; 4. any relevant publications that you wish to showcase. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-POSTDOC” in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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Valentin Braitenberg Award for Computational Neuroscience - call for nominations!
by Alexandra Stein 18 Feb '21

18 Feb '21

Dear Colleagues, The Bernstein Network Computational Neuroscience invites nominations for the Valentin Braitenberg Award for Computational Neuroscience. The Bernstein Network presents the award biennially to a scientist in recognition of outstanding research that contributes to the understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentin Braitenberg's own research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives €5.000 prize money, donated by the Autonome Provinz Bozen Südtirol, as well as a Golden Neuron pin. The award will be presented in a special award ceremony at the online Bernstein Conference 2021, followed by a keynote lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2021 by email to a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: https://www.bernstein-network.de/en/the-network/awards/Call_Braitenberg_2020<http://www.nncn.de/en/bernstein-conference/2018/braitenberg_award> For inquiries please contact a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de>. Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: BernsteinNeuro YouTube: Bernstein TV LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Faculty Position in Comp-Neuro / ML at Champalimaud - Deadline February 28, 2021
by Christian Machens 18 Feb '21

18 Feb '21

Faculty Position in Computational Neuroscience / Machine Learning at Champalimaud Research - Deadline February 28, 2021 The Champalimaud Foundation (CF) invites applications for Group Leaders to join a dynamic and highly collaborative international research institute in Lisbon, Portugal. Champalimaud Research (CR) is seeking to expand its Neuroscience Programme (CNP) with one Junior Group Leader (Assistant Professor equivalent). About you We welcome applicants with expertise in modern Machine Learning and Artificial Intelligence. Suitable research areas for the recruited applicant include statistical methods for complex, high-dimensional datasets, artificial neural networks, computer vision, reinforcement learning, and control theory. We will consider candidates that work on foundational issues in these fields, as well as candidates who take more applied approaches. The ideal candidate should present a research program with both fundamental research and applied elements, and have a strong desire to collaborate with existing teams within CR and CF, including the Champalimaud Clinical Centre. Special attention will be given to applications of individuals from underrepresented groups. About the position To promote risk-taking research, generous support for salary, start-up and annual running costs will be provided. Researchers will be based at the Champalimaud Centre for the Unknown (CCU), a highly interactive and innovative scientific environment where the Neuroscience Programme is composed of groups applying a range of theoretical and experimental approaches to understand the algorithmic, physiological and circuit mechanisms of behaviour. Researchers routinely collect rich datasets ripe for development and application of new analysis tools or comparison with theory. These datasets include high dimensional neurophysiological and imaging data, to -omics, and various measures of behaviour. About us The Champalimaud Centre for the Unknown is situated on the waterfront in Lisbon. English is the official language of the Centre. Lisbon has a sunny Atlantic-Mediterranean climate, vibrant culture, international schools, convenient housing options and is considered one of the world’s safest cities. About the application Applications should include a (1) detailed scientific curriculum vitae, which may include any mentoring, outreach, or policy experiences, (2) a brief summary of past accomplishments (max. two pages), (3) a description of future research plans (max. four pages), (4) three key publications (pdf-files preferred, preprints welcome) along with (5) brief (~200 word each) descriptions of their significance, and (6) contact details for three individuals who can provide recommendation letters upon request. Applications or informal inquiries should be addressed to careers(a)research.fchampalimaud.org <mailto:careers@research.fchampalimaud.org> with the subject “Neuro GL Call 2020 – YOUR LAST NAME”. The deadline for the applications is February 28, 2021 and review of applications will begin in March, 2021. Non-discrimination and equal access policy The Champalimaud Foundation actively promotes non-discrimination and equal access, so that no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are not deemed relevant for the performance of the duties associated with the advertised position.

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INCF/OCNS Software WG: Dev session on Neurolib (23rd Feb)
by Ankur Sinha 18 Feb '21

18 Feb '21

Hello everyone, Apologies for the cross-posts. The INCF/OCNS Software Working Group (WG)[1] is happy to announce the next "Dev session" on Neurolib[2] where Caglar Cakan will introduce the software and then discuss its *development* pipeline. The session will be held on Feb 23, 2021 at 1700 UTC[3]. Zoom link: https://tu-berlin.zoom.us/j/68960683644?pwd=a2JTTS8xZXhwY0ZtQ0J0aktRVW52Zz09 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. The abstract of the talk is below: neurolib is a computational framework for whole-brain modelling written in Python. It provides a set of neural mass models that represent the average activity of a brain region on a mesoscopic scale. In a whole-brain network model, brain regions are connected with each other based on structural connectivity data, i.e. the connectome of the brain. neurolib can load structural and functional data sets, set up a whole-brain model, manage its parameters, simulate it, and organize its outputs for later analysis. The activity of each brain region can be converted into a simulated BOLD signal in order to calibrate the model to empirical data from functional magnetic resonance imaging (fMRI). Extensive model analysis is possible using a parameter exploration module, which allows to characterize the model’s behaviour given a set of changing parameters. An optimization module allows for fitting a model to multimodal empirical data using an evolutionary algorithm. Besides its included functionality, neurolib is designed to be extendable such that custom neural mass models can be implemented easily. neurolib offers a versatile platform for computational neuroscientists for prototyping models, managing large numerical experiments, studying the structure-function relationship of brain networks, and for in-silico optimization of whole-brain models. ----- If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG either on INCF's Neurostars platform[4] or on our GitHub repository[5]. 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://ocns.github.io/SoftwareWG/pages/about.html [2] https://neurolib-dev.github.io/ [3] https://ocns.github.io/SoftwareWG/2021/02/12/dev-session-caglar-cakan-neuro… [4] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [5] https://github.com/OCNS/SoftwareWG/issues On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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two faculty positions at Imperial College in 'intelligent systems' (deadline March 1st)
by Goodman, Daniel F M 18 Feb '21

18 Feb '21

We are hiring two new faculty positions in the Electrical Engineering department at Imperial College, deadline March 1st. The advert below talks about machine learning and computer vision, but actually we're open to anything that will complement the existing interests of our group (robotics, machine learning, computational neuroscience). In particular, we're looking for people who can develop new collaborations with our group, so interdisciplinary researchers touching on any of these topics please do apply! I'd also like to add that we'd particularly encourage applications from women and other groups that are underrepresented in our department. https://www.imperial.ac.uk/jobs/description/ENG01538/lecturersenior-lecturer Please do feel free to get in touch for more info. Dan

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15 PhD positions translational vision science, OptiVis
by Peter König 17 Feb '21

17 Feb '21

15 PhD positions in Translational Vision Science It is essential to know what visually impaired individuals can do with their residual vision in daily life activities, otherwise known as their "functional vision". Conventional ophthalmic tests (e.g. visual field tests) are able to detect the extent of a visual defect, but they yield little information about functional vision. This lack of appropriate tests impedes the optimal practice of diagnostics (in ophthalmic and neurological care, in particular of children and elderly), rehabilitation and classification (essential in sports competitions). Our European MARIE SKŁODOWSKA-CURIE Innovative Training Network (ITN) OptiVisT aims to resolve this by (1) gaining new Insights: i.e. a fundamental understanding of the visual demands of activities of daily living and sports; (2) developing Solutions: i.e. creating new objective, inclusive and engaging tools for testing, training and augmenting functional vision; and (3) the Application of 1 and 2: evaluating the effectiveness of our new tools in diagnostics, rehabilitation and classification in practice. Are you, like us, fascinated by vision, the brain and technology and consider it important to help visually impaired people? Do you have an inquisitive mind, and are you looking for a PhD position embedded in an international innovative training network in which you can develop your research, technical or clinical skills? Then consider applying with OptiVisT and join one of our 15 PhD projects (overview below). We offer PhD positions in academia, medical, technology and rehabilitation institutes, and high-tech companies. Curious to see and hear more about what it means to be part of such Innovative Training Network? Check out these two short movies about our previous ITNs NextGenVis and EGRET+. If you are interested in one of our PhD positions, visit our website (www.optivist.eu) for more information on our application procedures. The deadline for applying for this project is February 28th, 2021. General questions can be directed to info(a)optivist.eu. Project specific questions can be directed to the project contacts as mentioned on the website. Best, Peter König (on behalf of the Optivis Consortium)

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Research Topic in Frontiers in Neuroprosthetics
by Marianna Semprini 16 Feb '21

16 Feb '21

Dear colleagues, We are excited to announce a Research Topic in Frontiers in Neuroscience - section Neuroprosthetics titled "Improving Neuroprosthetics through Novel Techniques for processing Electrophysiological Human Brain Signals". This research topic focuses on innovative approaches for translating current research results into useful clinical applications providing novel therapeutic possibilities in the neurorehabilitation and neuroprosthetic field. The development of these novel solutions could help people with disabilities to overcome their daily obstacles and achieve a better quality of life. We are thus widely open to contributions that target: * novel experimental designs, clinical protocols, and applications involving brain signals in the context of neurorehabilitation; * techniques for off-line signal processing, e.g. investigation of brain activity (EEG, EcoG, stereo-EEG, MEG), characterization of brain oscillations, decoding of information in the brain (e.g. sensory and/or motor); * techniques for on-line signal processing, e.g. novel hardware design for treating human brain signals; * assessment of plastic changes following a neurorehabilitation treatment or upon usage of a prosthetic device, e.g. novel biomarkers based on electrophysiological recordings, computational models for understanding reconfiguration mechanisms; * standardized methods to store and process data, in agreement with the FAIR principles. We accept submissions of manuscripts as Original Research, Systematic Review, Review (and mini-Review), Perspective, Clinical Trial, Case Report, Brief Research Report. Deadline for manuscript submission is June 5th, 2021. More information can be found here<https://www.frontiersin.org/research-topics/18352/improving-neuroprosthetic…>. We look forward to your contributions. The Research Topic co-editors, Marianna Semprini Gabriele Arnulfo Ioannis Delis Felix Siebenhühner Gianluca Susi Marianna Semprini, PhD Rehab Technologies IIT-INAIL Lab Phone : 010 71781 212 ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it

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10 PhD/Postdoc positions on metrology for AI in medicine at PTB Germany
by Haufe, Stefan 16 Feb '21

16 Feb '21

Dear colleagues, I would be grateful if you could circulate the following announcement. Ten PhD or Postdoc positions are available at the German national metrology institute (PTB) in Berlin and Braunschweig: Topics are centered around metrological aspects (robustness, uncertainty, interpretability) of artificial intelligence in medicine. This includes projects on M/EEG and fMRI inverse problems as well as explainable AI in neuroscience. Please go to is.gd/WYHec1 for details and instructions on the application process. Further information is available under the following links: * on the general research program these positions are embedded in: is.gd/24hYaD * on PTB's AI strategy for medicine: is.gd/Y0cYWv * press release: is.gd/ukCIh9 Candidates specifically interested in one of the first three projects 1. Towards standardized quality control for artificial intelligence systems in critical care (is.gd/HpWzAh) 2. Machine learning and uncertainty quantification for bioelectromagnetic inverse solutions and signal separation methods (is.gd/cdWi1E) 3. Advancing the theory and practice of machine learning model explanations in biomedicine (is.gd/3iPwnu) are encouraged to get in touch with me through haufe_ptb_applications at mailbox dot org . Best wishes, Stefan Haufe

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PhD position: Machine learning for big sleep data
by Martin Dresler 16 Feb '21

16 Feb '21

Hi, Rhine-Waal University of Applied Sciences and the Donders Institute Sleep & Memory Lab are looking for a joint PhD candidate combining data science/AI, wearable EEG technology, and sleep research. In this project, we will use machine learning to investigate big sleep data, using both large open sleep EEG datasets and novel studies with multiple repeated sleep EEG recordings via full polysomnography and sleep EEG wearables in naturalistic home-based settings. The results will be fed back into the development of sleep EEG software and hardware, and clinical applications in psychiatry and neurology. Further info: https://dreslerlab.org/phd-position Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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PhD position in Computational Neuroscience with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany
by Laurenz Wiskott 12 Feb '21

12 Feb '21

The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. One particular strength of RUB are the neurosciences. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a research assistant / Phd-student in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled at the earliest possible date. The appointment will be for three years. Salary is 29,87 h/w of salary scale TV-L E13. The load of teaching will be calculated according to §3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Tasks: * Development of a model of the hippocampus to store episodic sequences and its application to navigational experiences with the goal to better understand the neural basis of memory-based navigation. * Support in teaching. We offer: * An interesting interdisciplinary environment in the field of Computational Neuroscience / Machine Learning. * Room to develop your own ideas in the project. * Infrastructure to integrate well into the institute and the group. * Opportunity to do a PhD (Dr). Requirements: * Very good Master in mathematics, computer science, engineering, or a related field. * Good programming and mathematical skills. * Interest in neuroscientific research questions. Advantageous: * Good communication and teamwork skills. * Experience in interdisciplinary projects. * Programming skills in Python. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de. Application period ends on March 7, 2021. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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Machine Learning PhD studentship
by Michael Biehl 12 Feb '21

12 Feb '21

Applications are invited for a *3-year fully funded PhD Studentship* Tentative starting date: 1 April 2021. Title: *Integrated machine learning approaches to dissect the link between androgen excess * *and metabolic disease in women* In this interdisciplinary project, supervised and unsupervised machine learning techniques including but not limited to neural networks and prototype-based metric learning will be applied to analyse steroid metabolome, global non-targeted metabolome and clinical phenotype data. For detailed information, application procedure etc. see https://www.findaphd.com/phds/project/integrated-machine-learning-approache… -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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postdoc position involving psychophysics and fMRI to study visual consciousness
by Brascamp, Jan 11 Feb '21

11 Feb '21

The Brascamp Lab for Visual Neuroscience at Michigan State University is seeking a Research Associate (postdoc) to begin in the Spring of 2021. The Research Associate will be researching the neural basis of conscious vision, as part of a multi-site project funded by the Templeton World Charity Foundation and performed at Michigan State University in collaboration with researchers at NYU, UC Irvine, and Boston University. The work involves visual psychophysics and functional neuroimaging. The Brascamp Lab is located within the Department of Psychology and is a part of the Department's Cognition and Cognitive Neuroscience group, which provides an excellent research and training environment with faculty expertise covering a broad range of topics in perception and cognitive psychology. The Research Associate will be stationed at MSU, and the project may require a limited time spent in Amsterdam, the Netherlands, for data acquisition. This is initially a two-year position with the possibility of extension. Minimum Requirements include a Ph.D. in vision science, cognitive psychology, neuroscience, or a related field. Applicants should have a strong publication record, experience with psychophysics and human neuroimaging, strong programming skills (Python or related language(s)), and strong statistical training. Desired Qualifications: the ideal candidate will have excellent interpersonal and communication skills, and the ability to work independently. Please send inquiries or application materials (a letter of interest, CV, and contact information of three references) to brascamp(a)msu.edu<mailto:brascamp@msu.edu>. Review of applications will begin immediately.

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Call for submissions: Frontiers Research Topic on “Neuroinformatics of Large-Scale Brain Modelling”
by John Griffiths 11 Feb '21

11 Feb '21

Dear all, We are excited to announce an upcoming Research Topic, jointly within Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience, on “Neuroinformatics of Large-Scale Brain Modelling”. This Research Topic will document the various ways in which neuroinformatics approaches are being applied in large-scale brain modelling, informing readers on both established practices and emerging techniques. We seek Original Research, Review, Mini-Review, Hypothesis and Theory, Perspective, and Opinion articles that cover, but are not limited to, the following topics: - Ontologies, systems, and tools for definition and specification of large-scale neural models - New approaches to parameter optimization, parameter space exploration, and systematic tracking of simulation behaviour across parameter combinations - Informing neural models with genetic and multi-omic data from large-scale databases and individual patients/subjects - Systematic computational modelling studies on large numbers of subjects, and/or using large-scale open-access datasets (HCP, ABCD, etc.) - ‘Hybrid’ modelling schemes that combine mean-field with spiking network models - ‘Hybrid’ approaches to defining connectivity in large-scale brain models (e.g. supplementing tractography with microscopy data for higher-resolution subcortical connectivity structure) - Simulations using high-resolution neuroanatomical data from initiatives such as BigBrain, Allen Institute, etc. - ‘High-density’ (large number of regions; small parcels) connectome-based neural mass modelling - Other neuroinformatics challenges and solutions in large-scale brain simulations - Comparisons between detailed spiking/morphological simulations and neural mass model simulations - Comparisons between models based on high-resolution and low-resolution Allen atlas connectivities Full details can be found on the research topic webpage at: www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-b… If you are considering submitting, please submit an abstract by Fri 26 Feb 2021. Deadline for submission of full manuscripts is Fri 30th July 2021. We look forward to your hearing from you and sharing this exciting work with the community. Your Research Topic co-editors, John Griffiths Padraig Gleeson Kelly Shen -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry & Institute of Medical Sciences, University of Toronto www.grifflab.com ~~~ Frontiers in Neuroinformatics & Frontiers in Computational Neuroscience joint Research Topic: “Neuroinformatics of Large-Scale Brain Modelling” *Eds. John Griffiths, Kelly Shen, Padraig Gleeson* *Now accepting submissions! * Abstract deadline 26 Feb 2021. Manuscript deadline 30 July 2021. See topic page here <https://www.frontiersin.org/research-topics/16641/neuroinformatics-of-large…> for more info

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Visiting Assistant professor position (3yr - Psychology, broad)
by Blustein_Daniel 10 Feb '21

10 Feb '21

Dear colleagues, We are looking to hire a 3-year Visiting Assistant Professor of Psychology at Rhodes College in Memphis, TN, USA. This is a teaching heavy position but the job posting is broad and we would be very open to hiring someone working in computational neuroscience. Job ad: https://jobs.rhodes.edu/postings/3525 If you have any questions about the position, department or school, please reach out to me at blusteind(a)rhodes.edu<mailto:blusteind@rhodes.edu> Sincerely, Dan Blustein, PhD Assistant Professor of Psychology & Neuroscience Rhodes College 901-843-3963

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Postdoctoral positions at PONS Centre Charité-Universitätsmedizin Berlin
by Winterer, Jeanne 10 Feb '21

10 Feb '21

The Centre for Population Neuroscience and Stratified Medicine (PONS) at the Clinic for Psychiatry and Psychotherapy at the Charité- Universitätsmedizin Berlin has two postdoctoral positions to offer: 1. Postdoctoral Research Fellow in Population Neuroscience The PONS Centre at the Charité-Universitätsmedizin Berlin is seeking a talented and highly motivated postdoctoral researcher to investigate environmental influences on brain development and behaviour, with a particular emphasis on global mental health. The PONS Centre aims to identify risk constellations and neurobehavioral trajectories for mental disorders and their moderation by global environmental challenges. The research will involve comparative analyses of large scale behavioural neuroimaging datasets in Europe, India, China and USA. Applying advanced statistical methods and innovative methodology, such as remote sensing satellite data, the project seeks to investigate how environmental challenges associated with urbanization, climate change, pollution or pandemics shape brain structure/function and behaviour. PONS Charité works in close collaboration with its partner institute PONS Fudan, at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai. Areas of responsibility: • Take a leading role in development, adaptation and implementation of state of the art stratification and prediction techniques, including advanced representational approaches. • Apply these approaches to large scale, high dimensional datasets involving neuroimaging, behavioural, environmental and –omics. • Take a leading role in the publication and dissemination of data. • Present at academic meetings and contribute to the visibility of the project and its aims. • Work as a conscientious and committed member of the team in order to achieve the aims of the project. • Assist with the supervision of PhD and MSc candidates and with the general running of the group. Qualifications: • PhD in a relevant discipline (computer science, biomathematics) awarded, or thesis submitted, or thesis near completion. • A very good understanding of biomathematical and computer science methods applicable for phenotype stratification and prediction. • Experience of working with behavioural, epidemiologic and/or biological datasets. • Thorough conceptual understanding and experience in machine learning or/and deep learning methodology. • Evidence of the ability to publish in high-impact scientific journals. • Strong interpersonal skills, including willingness to introduce and help other colleagues with mathematics/statistics skills. • Good organisational skills. • Professional and enthusiastic attitude. • German language skills desirable, but not essential. 1. Postdoctoral Research Fellow in Precision Medicine The PONS Centre is seeking a postdoctoral fellow for a research programme funded by the European Research Council to develop the framework of a novel psychiatric taxonomy based on quantifiable neurobehavioural measures. This will be achieved by relating functional and structural neuroimaging measures as well as (epi-)genomic and environmental characterisations to behavioural symptom groups in both cross-sectional and longitudinal data. Being defined by shared neural mechanisms, these symptom groups will provide markers for stratification and prediction of mental illness. The work will involve a good understanding of the neural correlates of behaviour, and experience in the analysis of neuroimaging data using advanced statistics. PONS Charite works in close collaboration with its partner institute PONS Fudan, at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai. Areas of responsibility: • To contribute to the development of a framework for a novel psychiatric taxonomy based on quantifiable neurobehavioural measures. • To relate functional and structural neuroimaging measures as well as (epi-)genomic and environmental characterisations to behavioural symptom groups in both cross-sectional and longitudinal data • The publication, report generation and dissemination of data arising from this project • Attend and present at academic meetings and contribute to the visibility of the project and its aims. • Assist with the supervision of PhD and MSc candidates and with the general running of the group • Undertake any other reasonable duties that may be relevant to the role outline Qualifications: • PhD in psychology, neuroscience, sociology, computer science or a related discipline - awarded, or thesis submitted • Experience in imaging genetics and behavioural research • Experience in multimodal analyses of behavioural assessments, neuroimaging and –omics data using advanced statistics • Evidence of the ability to publish in high-impact scientific journal. • Excellent written and verbal communication • Professional and enthusiastic The starting date of both postdoctoral positions would be the 1st of May 2021 with a length of 20 months of employment (40 hrs/week). Applicants should send the application materials to Jeanne.winterer(a)charite.de. Application information includes cover letter, including research plan, CV, Certificates, list of publications. Application material can be submitted until the 15th of March 2021. Contact information: For questions, please do not hesitate to contact Professor Gunter Schumann, email: gunter.schumann1961(a)gmail.com<mailto:gunter.schumann1961@gmail.com> and Jeanne Winterer, email: Jeanne.winterer(a)charite.de<mailto:Jeanne.winterer@charite.de>.

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Postdoctoral positions at NIPS in Japan: Computational modeling of synaptic biochemical signaling
by Hidetoshi URAKUBO 08 Feb '21

08 Feb '21

Dear researchers: We invite applications for a postdoctoral researcher in the area of mathematical/computational modeling of biochemical signaling in neuronal synapses. Based on a grant (#), A new collaborative project with Kyoto U and Nagoya U has been launched for the modeling of liquid-liquid phase separation (LLPS) of synaptic molecules. The successful candidate will develop computational/theoretical models that describe the LLPS and simulate the spatiotemporal dynamics of synaptic biochemical signaling, to elucidate how our learning and memory are organized. We expect who will conduct Monte Carlo simulation under the scheme of the Flory-Huggins (FH) theory, as well as the reaction-diffusion simulation of biochemical molecules. (#) Spatiotemporal dynamics of intracellular components, CREST, Japan Science and Technology Agency (JST), Japan. https://www.jst.go.jp/kisoken/crest//en/research_area/ongoing/area2020-1.ht… We are also conducting a long-standing project on electron microscopic (EM) connectomics. We will welcome the applicants who can contribute to this project from the informatics aspect. National Institute for physiological science (NIPS) is a high-quality national institute for neuroscience in Japan, like Riken CBS. NIPS is located in Aichi prefecture, the middle part of Japan. https://www.nips.ac.jp/eng/ https://en.wikipedia.org/wiki/Aichi_Prefecture http://www2.aia.pref.aichi.jp/tope/foreigner.html Please feel free to ask questions about this research position to Hidetoshi Urakubo (urakubo(a)nips.ac.jp) 1. Job title Full-time Postdoctral Researcher 2. Begin date April 1st 2021 (negotiable) 3. Appointment period Annually renewed based on evaluation. Up to Sep/2025. 4. Workplace NIPS, Okazaki, Japan http://www.nips.ac.jp/circuit/ 5-1 Myodaiji-Higashiyama, Okazaki, Aichi, 444-8787, Japan 5. Qualifications Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. 6. Compensation Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), summer vacation, and sick leave. These and other provisions are in accordance with NIPS regulations. Please inquire it with your CV if the salary information is needed at the early stage of selection. 7. Required documents Please send the following five materials to the email address below: 7-1. Complete CV 7-2. List of publications 7-3. Reprints of 1 to 3 major publications 7-4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research - Technical skills (programming skills, etc) 7-5. Two letters of recommendation (including one from the current supervisor, if available) 8. Deadline February 28 (Sun), 2021 (will be extended) 9. Selection Selection will be made based on application screening and interviews. 10. Application and Contact Hidetoshi Urakubo, Ph.D. Email: urakubo(a)nips.ac.jp Project Assistant Professor, Division of Cerebral Circuitry, Department of Fundamental Neuroscience, National Institute for Physiological Sciences (NIPS), 5-1 Myodaiji-Higashiyama, Okazaki, Aichi, 444-8787, Japan Phone: +81-564-59-5280 https://researchmap.jp/urakubo?lang=en http://www.nips.ac.jp/circuit/

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Special issue: Information Processing in Neuronal Circuits-Journal Biology
by alireza valizadeh 08 Feb '21

08 Feb '21

CFP: Special issue on “*Information Processing in Neuronal Circuits and Systems*” Dear colleagues, Together with Claudio Mirasso we are organizing a special issue in the journal “Biology” on the topic “*Information Processing in Neuronal Circuits and Systems*”. We would like to invite you to contribute your research to this special issue. For more information please visit the website https://www.mdpi.com/journal/biology/special_issues/neuronalcircuits Submission deadline: *7 May, 2021*. *Special Issue Information* The question of how the brain integrates the multiplicity of local processes dispersed throughout its entire anatomy is a fundamental question in neuroscience. Such integration is mediated by information exchange between brain areas, and other parts of the nervous system, through routes that can change rapidly to provide a flexible effective connectivity despite the rigidity of the anatomical connections. The flexibility of the information routing and effective connectivity are consequences of the multi-stability of the collective dynamics of the neuronal networks. In other words, a single structural connection can support plenty of degenerate dynamic states for each of which a special pattern of information transfer between the nodes can take place. Collective neuronal oscillations are hypothesized to provide such a basis for the dynamic communication between brain regions. In this Special Issue, the notion of information transfer and routing in neuronal circuits and systems will be addressed with a focus on shedding light on the mechanisms that regulate information transmission in the brain and in the nervous system in general. Please contact us in case you need more information about this special issue. Best, Alireza Valizadeh Topic editors: Claudio R. Mirasso, Universitat Illes Balears, Instituto de Física Interdisciplinar y Sistemas Complejos, Spain (claudio(a)ifisc.uib-csic.es) Alireza Valizadeh, Institute for advanced Studies in Basic Sciences, Iran ( valizade(a)iasbs.ac.ir) -- ------------------------------------------------------------------------ Alireza Valizadeh Associate professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS) School of cognitive sciences, Institute for research in fundamental sciences (IPM) Zanjan, Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html ------------------------------------------------------------------------

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PhD studentship on “Computational modelling of spiking neural network self-organization” at the University of Surrey (UK)
by roman bauer 07 Feb '21

07 Feb '21

*Computational modelling of spiking neural network self-organization* A PhD studentship is available in the lab of Dr Roman Bauer at the Department of Computer Science at the University of Surrey (Guildford, UK). The successful candidate will use computer simulations to study how spiking neural networks can give rise to function, such as classification/prediction of spatio-temporal (visual or auditory) signals. This will contribute to novel technologies for neurally inspired computing, and help shine light shine on how neuronal circuits in the brain operate. This particular PhD studentship will be conducted in co-operation with the BioDynaMo collaboration, where open-source code for the neuroinformatics/computational neuroscience research community is developed. Successful applicants will become part of a vibrant PhD community and will benefit from the strong research environment and high international visibility of the Department. Its researchers publish regularly in top conferences and journals and are renowned experts in their fields, developing innovative, practical solutions to real world problems. The Department has strong links with industry and active collaborations with academic institutions worldwide. *Background:* The ideal candidate will have experience in computer science / physics / mathematics or similar. Proficiency in an object-oriented programming language is required. Previous experience in the modelling and simulation of spiking neural networks would be desired. *Funding:* Each PhD studentship comes with a stipend of £16,000 per annum plus tuition fees covered for the duration of 3 years for UK/EU candidates. International candidates are welcome to apply but will need to cover the difference between the UK/EU and overseas fees. More details including instructions for the application can be found at: https://www.surrey.ac.uk/fees-and-funding/studentships/phd-studentships-com…. Interested candidates are encouraged to contact the lead supervisor Dr Roman Bauer (r.bauer(a)surrey.ac.uk) Application deadline is 21st of February, 2021.

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Focus on Criticality and Complexity in Brain Dynamics
by Claudius Gros 05 Feb '21

05 Feb '21

Dear colleagues A short reminder: Together with Dante Chialvo, we are editing a Focus on Criticality and Complexity in Brain Dynamics Journal of Physics: Complexity Deadline 30 April 2021 https://iopscience.iop.org/journal/2632-072X/page/Focus_on_Criticality_and_… exity_in_Brain_Dynamics Among others, we are especially interested in compact perspectives, e.g. on -- experimental and theoretical methodology -- 'critical' assessments of underlying concepts -- controversial viewpoints We hope that the focus on brain criticality and complexity will be a place to assess where the field stands and where the fields needs to go. Please do not hesitate to contact us for any further information. We are looking forward to your contribution! Claudius Gros ### ### 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 ###

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Open Position: Post-Doctoral Fellowship in Reproducible Neuroimaging Analysis
by Sean Hill 05 Feb '21

05 Feb '21

The Krembil Centre for Neuroinformatics has an open position for a postdoc with experience in neuroimaging and software engineering: "Post-Doctoral Fellowship in Reproducible Neuroimaging Analysis” The Krembil Centre for Neuroinformatics (PI Dr. Sean Hill, http://krembilneuroinformatics.ca/)Toronto, is looking to hire a Post-Doctoral Fellow with a strong background in Neuroimaging and Software Engineering. The successful candidate shall spearhead the group's efforts in developing a comprehensive open science platform that captures a range of experimental data, produces a semantic representation that links related scientific content, and provides users with data discovery tools. Working jointly between the Krembil Centre and Radiologics, the successful candidate will be involved cutting-edge development an electronic laboratory notebook platform that enables reproducible human neuroscience workflows. This work will support a global collaborative effort for Accelerating research on Consciousness: An adversarial collaboration to test contradictory predictions of Global Neuronal Workspace and Integrated Information Theory. Led by Dr. Lucia Melloni research on consciousness by providing decisive, field-transformative evidence in favor of one this project will accelerate theory and against the other. It will also establish a groundbreaking model for scientific practices in cognitive neuroscience at large, by demonstrating the impact of team-based adversary research and open data. This will address major riddles in the field, much like established practices in other fields such as physics and genomics have done. Thus, this project may dramatically change the landscape of research—that is, the social practices and norms—in the field of cognitive neuroscience. https://www.templetonworldcharity.org/projects -database/accelerating-research-consciousness- adversarial -collaboration-test-contradictory The platform will enable researchers to define their experiment protocols, capture and manage experiment metadata associated with these protocols, and publish the resulting data sets to a semantically enabled search engine. The platform will provide the basis for creating interactive publications from which each analysis result and figure is linked through structured provenance record to its original source data and analysis pipelines. • To develop an open source electronic laboratory notebook to support reproducible analysis of data that encompasses the most commonly used techniques in human neuroscience: fMRI, MEG, EEG and ECoG. • To develop standards for data annotation and exchange of data and metadata. • To publish those metadata via a semantically-enabled search engine. • The platform will build on several key components. The e -notebook will advance the pilot software currently in development and will include a user-friendly app-based interface to define the structure and content of experiments including the most common cognitive neuroscience experimental methods (fMRI, EEG, MEG, and ECOG). • The system will integrate XNAT, developed in Dr. Marcus’ laboratory at Washington University andatRadiologics(Marcusetal,2007) and BlueBrainNexus(bluebrainnexus.io)platform developed by a team led by Dr. Hill (Kaufmann et al., 2018). XNAT and Nexus are widely-used, open source applications that have been instrumental in advancing reproducible science. The successful candidate will have a PhD in neuroscience, engineering, physics, psychology, or related area, a track record for independent research, and a strong publication record. Strong programming skills and familiarity with neuroimaging data (s/d/fMRI and/or M/EEG) are required; experience with software development, semantic databases and data models are advantageous. For inquiries, please email David Rotenberg (David.Rotenberg(a)camh.ca) with the title “Post-Doctoral Fellowship Reproducible Neuroimaging Platform” in the subject line." https://www.camh.ca/en/science-and-research/institutes-and-centres/krembil-… — Sean Hill, Ph.D. Scientific Director, Krembil Centre for Neuroinformatics Senior Scientist, Campbell Family Research Institute Centre for Addiction and Mental Health Professor, University of Toronto Faculty Affiliate, Vector Institute for Artificial Intelligence Infrastructure Co-lead, University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) Titular Professor, École polytechnique fédérale de Lausanne, Switzerland KrembilNeuroinformatics.ca CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Open postdoc position in plasticity in action execution (Washington DC)
by Ella Striem-Amit 05 Feb '21

05 Feb '21

*Postdoctoral researcher position in plasticity in action execution* The SAMP Lab (Sensory and motor plasticity, Ella Striem-Amit’s lab) at Georgetown University (Washington DC, USA) is looking for a passionate and dedicated Postdoctoral researcher to work on a project on plasticity and abstractness in action execution. The SAMP lab explores the balance between innate brain organization and experience-dependent plasticity by studying models of sensory and motor deprivation using behavioral and fMRI state of the art analytical techniques. Specifically, in this project we will explore neural action representations which are independent from the body part used to execute them, studying people born without hands. For detail of the lab see *samp-lab.facultysite.georgetown.edu <http://samp-lab.facultysite.georgetown.edu/>*, and a relevant recent publication: *www.pnas.org/content/117/45/28433 <http://www.pnas.org/content/117/45/28433>*. Excellent understanding of and experience with fMRI and data analysis are required. Strong programming skills (Matlab/R/python, etc.) are also a requirement. Experience with behavioral methods used in motor control and mapping is desirable but not a requirement. The position is not limited to US citizens. The start date is flexible, but preferably May-July 2021.This position is available for two years, and can be extended further based on performance. To apply, please send your CV, a brief statement of research interests and a copy of your recent, representative publication by email to Dr. Ella Striem-Amit (*Ella.StriemAmit(a)georgetown.edu <Ella.StriemAmit(a)georgetown.edu>*) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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

05 Feb '21

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

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Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation
by Vinita Samarasinghe 05 Feb '21

05 Feb '21

*Pending funding approval*, Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience <https://www.ini.rub.de/the_institute/jobs/postdoctoral_position_in_computat…>. * The position starts 01.07.2021 and is funded for three years. *Job description* The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and expected to study the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is April11^th , 2021. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de

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FENS job advertisement for Executive Director position
by Helena Ledmyr 04 Feb '21

04 Feb '21

The Federation of European Neuroscience Societies, FENS, seeks an outstanding association executive or executive‐scientist to serve as its next Executive Director. The new Executive Director should have experience in leading a scientific organisation, knowledge of current trends and issues facing life sciences and particularly neuroscience, and understand the legislative process and public policy, as well as the financial tenets of a non‐profit organisation. This is a full-time position based in Brussels, Belgium. Reviewing of applications will begin on 15 February 2021 and applications will be accepted until the position has been filled. https://www.fens.org/News-Activities/News/2021/02/FENS-ED-position/ All the best Helena ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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2 Yr RA in Mathematical Neuroscience
by Stephen Coombes 04 Feb '21

04 Feb '21

2 Yr RA in Mathematical Neuroscience, Nottingham, UK Deadline Mar 8 2021 We are looking for a researcher, whose expertise lies in Mathematical Neuroscience, to work with Professor Stephen Coombes on an EPSRC- funded project entitled “White matter networks”. The central aim of the project is to build a new mathematical framework for biologically motivated neural networks to help understand the important contribution that activity-dependent regulation of myelination can make to patterns of rhythmic activity known to subserve important aspects of large-scale brain dynamics and its dysfunction. https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI012521 Informal enquiries to Professor Stephen Coombes: stephen.coombes(a)nottingham.ac.uk<mailto:stephen.coombes@nottingham.ac.uk> ------------------------------------------------------------------ Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 https://www.maths.nottingham.ac.uk/plp/pmzsc/ ------------------------------------------------------------------ This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral Researchers in Computational Neuroscience in Alberta, Canada
by Wilten Nicola 04 Feb '21

04 Feb '21

We are recruiting talented postdoctoral researchers to participate in a cutting-edge International Network for Brain-Inspired Computation that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). We seek researchers investigating the intersection of mathematics, physics, and neuroscience with interest in the general area of complex network dynamics and emergent activity patterns or representations that drive biological computation. The ideal candidates will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. These postdoctoral positions are partially funded by the Pacific Institute for Mathematical Sciences and are aimed to strengthen the link between the Campus Alberta computational neuroscience community at the University of Calgary (Complexity Science Group, Hotchkiss Brain Institute) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience) with the other network members including the Computational Neuroscience Center at the University of Washington. Specifically, we are looking for postdoctoral candidates for the following two research themes: Theme 1: Investigating how connectivity and dynamics drive network representations. What principles predict 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? Theme 2: How learning drives network representations. What mathematical principles predict how learning rules, either in artificial or biological networks, select network representations that solve particular computations? For both themes, 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 brain computation, particularly in learning, perception, decision making, and the effects of drugs such as amphetamine and psychedelics. The positions are open immediately with primary locations in either Calgary or Lethbridge. The specific start date has to be within five years of being awarded a PhD degree. The positions are for up to two years and they include an annual stipend in the range of CAD$40,000 – $48,000 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) Dr. Wilten Nicola ( wilten.nicola(a)ucalgary.ca) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca) Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin February 28th, 2021, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen, Dr. Nicola or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity.

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Scientist position at the Allen Institute: Functional Roles of Transcriptomically Defined Cell Types
by Anton Arkhipov 03 Feb '21

03 Feb '21

A new exciting opportunity is open at the Allen Institute (Seattle, WA): Scientist I – Functional Roles of Transcriptomically Defined Cell Types https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1500542 The scientist will join a new collaborative project at the Allen Institute, co-lead by Drs. Anton Arkhipov and Saskia de Vries. The position reports to Dr. Arkhipov. In this project, we perform calcium imaging of neural activity in the visual cortex of awake mice, followed by in situ characterization of the genes expressed in these neurons. The Scientist will carry out computational analyses to study the relationships between the transcriptomic cell types and the types of functional visual responses. This is a highly challenging, uncharted area of data analysis. We are looking for an excellent computational scientist who will advance the knowledge and analysis methods at this cutting edge of science. Join us to investigate one of the most fundamental questions in neuroscience – how the transcriptomic cell types are related to the types of functional neuronal responses in vivo! See details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1500542 Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png(a)01D5B043.A5662590] www.alleninstitute.org<http://www.alleninstitute.org/>

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Deadline to March 21, 2021 - CfP: Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision- Making - Entropy an Open Access Journal by MDPI (IF: 2.494; Indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases)
by Domenico Maisto 02 Feb '21

02 Feb '21

Dear Colleagues, You are cordially invited to submit a manuscript to the Entropy Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference Deadline for manuscript submissions: 21 March 2021. Please find further information below. With best regards, Domenico Maisto ================================================================ Open Access Journal ENTROPY by MDPI Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making ----------------------------------------------------------------------------------------------------------------- This Special Issue aims to focus on recent advances in probabilistic inference in goal-directed human and animal decision making, and we welcome submissions that: - Shed light on the computations of neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms involved; - Propose novel probabilistic models and methods in decision making including (but not limited to) information-theory approaches, statistical and free- energy minimization, hierarchical models, and deep networks; - Introduce decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Guest Editors Dr. Francesco Donnarumma Dr. Domenico Maisto Dr. Ivilin Stoianov Entropy is an Open Access Journal by MDPI with high visibility (indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases), excellent citescore (IF: 2.494; 2019 Scopus data: 3.7, which equals rank 8/62 (Q1) in 'Mathematical Physics', 14/54 (Q2) in 'Physics and Astronomy', 210/670 (Q2) in 'Electrical and Electronic Engineering', and 104/300 (Q2) in 'Information Systems’), and rapid publication. -- Domenico Maisto, PhD Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR) Via Pietro Castellino 111, 80131, Napoli Italy Phone: +39 0644595208 (Rome), +39 0816139507 (Naples) Fax: +39 0644595243 (Rome), +39 0816139531 (Naples) e-mail: domenico.maisto(a)icar.cnr.it

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PhD student position in neuroengineering at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 02 Feb '21

02 Feb '21

PhD student position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) A computational approach to personalize and optimize clinical treatments for people with chronic hemodynamic instability caused by neurological disorders Location The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded PhD position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. PhD salaries at EPFL rank the highest in the world. Opportunity The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Project Description Neurological disorders that disrupt the communication between the brain and the spinal cord can induce inability to adequately regulate blood pressure. This hemodynamic instability threatens survival, increases cardiovascular disease risk, and reduces quality of life. Such hemodynamic instability results from the interruption of supraspinal efferent commands to sympathetic circuits located in the spinal cord, which prevents the natural baroreflex from controlling these circuits to adjust peripheral vascular resistance. We previously showed that epidural electrical stimulation (EES) of the spinal cord can compensate for interrupted supraspinal commands to motor circuits below injury, which restored walking after paralysis. We also leveraged these concepts to develop EES protocols that restore hemodynamic stability after spinal cord injury. Nonetheless, other neurological disorders, such as Parkinson’s disease, also induce hemodynamic instability. Effective clinical solutions for these patients are not yet available. The successful candidate will work to develop and implement an EES therapy to alleviate hemodynamic instability in people with Parkinson’s disease. They will use develop approaches to initialize stimulation protocols for this therapy and engineer algorithms that will automatize this process. They will develop computational techniques to identify optimal spinal cord stimulation locations and devise physiological experiments to guide the surgeons when implanting the spinal leads to target those optimal locations. They will develop software that wile automatize these pre-operative panning and intra-operative assistance procedures. They will assist with organizing a clinical trial of their therapeutic concept and analyze the physiological and behavioral data acquired during the trial. On all of these tasks, the successful candidate will benefit from our solutions and experiences from developing spinal cord injury treatments. Requirements * Master’s Degree in Physics, Computer Science, Microengineering, Engineering or related * Proficiency in Matlab or Python * Proficiency in and some programming language (e.g. C++, C#, Java) * Experience with analysis of data * Good written and verbal skills in English Contact Applications including a CV and a cover letter describing your background and interest should be sent to PDHEMO.Courtine(a)gmail.com. Informal inquiries are welcome and should be sent to tomislav.milekovic(a)epfl.ch.

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PhD-positions in computational neuroscience at the University of Oslo as part of CompSci grant in EU Horizon 2020
by Gaute Einevoll 01 Feb '21

01 Feb '21

CompSci is a Doctoral Programme launched and managed by the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). It is partly funded by the EU Horizon 2020 under the Marie Skłodowska-Curie Action (MSCA) - Co-funding of Regional, National and International Programmes (COFUND). The CompSci Doctoral Program will recruit 32 PhDs in two calls. In this Call, we open for applications to the 1st cohort of 16 PhD fellowship positions, that will join our PhD programme starting autumn 2021 at UiO. The possible PhD-projects span over a wide range of topics where methods from computational science are applied to different fields in the natural sciences: https://www.mn.uio.no/compsci/english/projects/ Four of the possible projects in Call 1 are within computational neuroscience: * Bio-inspired neural networks for navigation<https://www.mn.uio.no/compsci/english/projects/bioscience/bio-inspired-neur…> Supervisors: Anders Malthe-Sørenssen<https://www.mn.uio.no/compsci/english/projects/supervisors/malthe-sorenssen…>, Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html> * Large-scale recordings of neurons to reveal mechanisms of learning and memory<https://www.mn.uio.no/compsci/english/projects/bioscience/learning-and-memo…> Supervisors: Marianne Fyhn<https://www.mn.uio.no/compsci/english/projects/supervisors/fyhn.html>, Anders Malthe-Sørenssen<https://www.mn.uio.no/compsci/english/projects/supervisors/malthe-sorenssen…> * Large-scale network simulations of mouse visual cortex<https://www.mn.uio.no/compsci/english/projects/bioscience/neural-networks.h…> Supervisors: Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html>, Marianne Fyhn<https://www.mn.uio.no/compsci/english/projects/supervisors/fyhn.html> * Modelling systems levels changes in brain aging induced by genome instability<https://www.mn.uio.no/compsci/english/projects/bioscience/brain-aging.html> Supervisors: Hilde Nilsen<https://www.mn.uio.no/compsci/english/projects/supervisors/nilsen.html>, Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html> For information about how to apply, see https://www.jobbnorge.no/en/available-jobs/job/193610/compsci-call-1-marie-… . The extended application deadline for Call 1 is: March 1st 2021 Questions about the individual projects should be sent to the supervisors listed above. ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, web: www.nmbu.no/ans/gaute.einevoll<http://www.nmbu.no/ans/gaute.einevoll>, cinpla.org<http://cinpla.org> twitter: https://twitter.com/gauteeinevoll podcast: https://vettogvitenskap.no podcast (English only): https://vettogvitenskap.no/senseandscience

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Funded Ph.D. Studentship in Computational Modelling and Machine Learning in Decision Neuroscience
by Wong-Lin, Kongfatt 01 Feb '21

01 Feb '21

Applications are invited for a funded 3-year Ph.D. studentship in Computational Modelling and Machine Learning in Decision Neuroscience at Ulster University, UK. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/801216 This Ph.D. project aims to develop and apply computational techniques and modelling to understand brain and behavioural data across primate species. Specifically, the project will apply techniques in computational neuroscience, particularly biologically based neural network modelling, to elucidate the mechanisms underlying perceptual decisions abstracted from movements. The project will also use advanced machine learning methods to analyse various types of neural and behavioural data. The Ph.D. project is part of an ambitious externally funded 5-year research project proposes to break new ground by integrating data from multimodal human and non-human primate neurophysiology with computational modelling to gain convergent insights into how and where abstract decision mechanisms take place in the human and monkey brain, and provide an unprecedented, detailed view on the brain’s decision making machinery. The international collaborators are Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), and Prof. Simon Kelly at University College Dublin (Ireland). Some relevant references: (i) O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 (ii) Atiya NAA, Rañó I, Prasad G, Wong-Lin K. A neural circuit model of decision uncertainty and change-of-mind. Nat Commun. 2019;10(1):2287. doi:10.1038/s41467-019-10316-8 (iii) O'Connell RG, Dockree PM, Kelly SP. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci. 2012;15(12):1729‐1735. doi:10.1038/nn.3248 This timely and exciting project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment at Magee Campus. The successful Ph.D. candidate will benefit from the expertise of Ulster University’s Cognitive and Computational Neuroscience, Machine Learning, and Computational Biology communities, and will interact closely with international experimental collaborators. The student will gain valuable skills and knowledge in computational and mathematical modelling, biological signal processing, machine learning, high-performance computing, mathematics/statistics, and brain sciences. All applicants should hold a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills, experience, motivation and interests. Successful candidates will enrol as of 1st August 2021, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The Ph.D. studentship will comprise fees together with an annual stipend and will be awarded for a period of up to three years subject to satisfactory progress. Additional financial support will be available from the supervisor's research funding for additional specialised training, research meeting and conference attendance, and computational resources. The successful student will be based at the Intelligent Systems Research Centre at Magee campus in Derry~Londonderry, with arguably the largest cluster of computational neuroscientists and neuro-inspired A.I researchers in Ireland. The city was awarded the 2013 UK City of Culture, with affordable living costs. In 2019, Ulster University was ranked 3rd in the UK for research culture and 8th in the UK for overall PhD researcher satisfaction. If you wish to discuss your proposal or receive advice on this project, please contact: Dr. KongFatt Wong-Lin, email: k.wong-lin(a)ulster.ac.uk . Apply online: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/801216 The closing date for receipt of completed applications is 8th March 2021. Interviews will be held on 25th March 2021, and the starting date is on 1st August 2021. ------------------- Dr. KongFatt Wong-Lin Reader Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Save the date: virtual INCF Assembly 19-27 April, 2021
by Helena Ledmyr 29 Jan '21

29 Jan '21

Dear INCF community, The INCF Assembly <https://neuroinformatics.incf.org/> will be a virtual meeting this year, starting on April 19. The program <https://neuroinformatics.incf.org/2021/program-at-a-glance> is currently being fine-tuned and will include: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology, and computational neuroscience - Data science - Showcase of tools, infrastructures - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience Abstract submission will reopen within the next couple of weeks, as will registration. If you submitted an abstract for the cancelled 2020 Assembly you will be contacted with the option to keep or retract your abstract. Registration fees are discounted for INCF members - sign up for INCF membership here <https://www.incf.org/join-incf>! We hope to see you at the INCF Assembly <https://neuroinformatics.incf.org/> ! All the best Helena ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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Fully funded PhD and postdoc positions in Neuroethology / Systems Neuroscience at Max Planck Institute for Brain Research (Frankfurt, Germany)
by Stempel, Vanessa 29 Jan '21

29 Jan '21

Dear colleagues, A fully funded PhD and postdoctoral position are available in the newly installed research group “Instinctive Behaviour Circuits”, headed by Vanessa Stempel at the Max Planck Institute for Brain Research in Frankfurt, Germany. Are you excited about neuroethology and systems neuroscience? Our group works on the neural mechanisms of flexible instinctive behaviours and is looking for PhD students and postdocs to join their team! The lab will employ state-of-the-art in vivo neural activity recordings and manipulation experiments in ethologically-relevant behavioural tasks in mice, and combine these with molecular, cellular and circuit-level analyses in vitro. We're also welcoming applications for BSc and MSc research projects! Please get in touch with us via email at vanessa.stempel(a)brain.mpg.de Best, Vanessa Job ads PhD mpg.de/16351407/phd-student-instinctive-behaviour-circuits<https://www.mpg.de/16351407/phd-student-instinctive-behaviour-circuits> Postdoc mpg.de/16351421/postdoctoral-researcher-instinctive-behaviour-circuits<http://www.mpg.de/16351421/postdoctoral-researcher-instinctive-behaviour-ci…> ___________________________ DR. VANESSA STEMPEL Max Planck Research Group Leader Instinctive Behaviour Circuits Group Max Planck Institute for Brain Research Max-von-Laue-Straße 4 60438 Frankfurt am Main, Germany www.brain.mpg.de/research/instinctive-behaviour-circuits-group.html

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Simons Foundation Bridge to Independence (BTI) Award programs
by Alyssa Picchini Schaffer 28 Jan '21

28 Jan '21

The Simons Foundation is invested in supporting the next generation of researchers. Our Bridge to Independence (BTI) Award programs promote talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships. We are offering such awards through two of our programs: the Simons Collaboration on the Global Brain (SCGB), and the Simons Foundation Autism Research Initiative (SFARI). These requests for applications (RFAs) are aimed at Ph.D. and M.D. – holding scientists who are currently in training positions and intend to seek tenure-track faculty positions over the next two years (i.e., 2021-2023). Successful applicants will receive a commitment of $495,000 over three years, activated upon assumption of a tenure-track professorship. Visit bit.ly/3i3GNeA for more information on both programs. __________________________________ Alyssa Picchini Schaffer, PhD Senior Scientist & Administrative Director Neuroscience Collaborations *SIMONS FOUNDATION* 160 Fifth Avenue New York, NY 10010 646.654.0066 *main * 646.751.1277 *direct * 717.818.8281 *mobile*

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Undergraduate computational neuroscience research position
by Neymotin, Samuel (NKI) 27 Jan '21

27 Jan '21

A new Army Research Office (ARO) undergraduate research apprenticeship program (URAP) position is available for the summer of 2021 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/) Research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train neocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models’ performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their results. Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. For consideration, please click the link to “Apply Now” at https://www.usaeop.com/program/undergraduate-apprenticeships/ Make sure to use code U803 (Nathan Kline Institute) and apply by the deadline (March 15, 2021). Letters of recommendation are optional. For questions, email Samuel.Neymotin(a)nki.rfmh.org<mailto:Samuel.Neymotin@nki.rfmh.org> For more information about the URAP visit: http://www.usaeop.com/<https://protect2.fireeye.com/v1/url?k=1b10bbdd-47344dbc-1b1242e8-0cc47a6d17…> ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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[jobs] machine learning research scientist at NIMH
by Francisco Pereira 27 Jan '21

27 Jan '21

### HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ### About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt ### About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG and EEG) - other types of neural data (e.g. neural recording, calcium imaging) - modelling of human and animal learning and decision-making - Bayesian statistical modelling Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. We especially encourage applications from women and members of underrepresented groups. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en&utm_medium=web&utm_sour…> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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[CFP] ICLR 2021 Workshop on "How Can Findings About The Brain Improve AI Systems?"
by Mariya Toneva 26 Jan '21

26 Jan '21

ICLR 2021 - Workshop on "How Can Findings About The Brain Improve AI Systems?" Submission deadline: February 26, 2021 Workshop website: https://iclrbrain2ai.github.io/ Contact: brain2ai.2021(a)gmail.com The brain comprises billions of neurons organized into an intricate network of highly specialized functional areas. This biological cognitive system can efficiently process vast amounts of multi-modal data to perceive and react to its ever-changing environment. Unlike current AI systems, it does not struggle with domain adaptation, few-shot learning, or commonsense reasoning. Inspiration from neuroscience has benefited AI in the past: modern convolutional networks mimic the deep, nested information flow in visual cortex, and hippocampal replay of previous experiences has brought about experience replay in reinforcement learning. Recent work at the intersection of neuroscience and AI has made progress in directly integrating neuroscientific data with AI systems and has led to learned representations that are more robust to label corruptions, allow for better generalization in some language tasks, and provide new ways to interpret and evaluate what domain-relevant information is learned by deep neural networks. In this workshop, we aim to examine the extent to which insights about the brain can lead to better AI. We will consider the following (non-exhaustive) list of topics for contribution: - Integration of neuroscientific data at different granularities (neural recordings, neuroimaging etc.) to train AI systems - Brain-inspired inductive biases and ML architectures for AI systems - Neuroscientific data as an evaluation metric for AI systems - Mechanistic insight into cognitive functions (vision, language, decision making, attention, etc.) - Limitations of current AI systems in tasks at which humans excel (compositionality, commonsense reasoning, continual learning, few-shot learning, causality, etc.) - Cross-modality and cross-species comparisons of neuroscientific data with respect to benefits to AI - Datasets that can facilitate the transfer of neuroscientific insight to AI Submit at: https://cmt3.research.microsoft.com/BRAIN2AI2021/Submission/Index The workshop will feature a diverse set of topics led by the following invited speakers and panelists (in alphabetical order): 1. Anima Anandkumar, California Institute of Technology 2. David Cox, Harvard University 3. Kenji Doya, Okinawa Institute of Science and Technology Graduate University 4. Allyson Ettinger, University of Chicago 5. Alona Fyshe, University of Alberta 6. Jack Gallant, University of California, Berkeley 7. Andrea Martin, Max Planck Institute for Psycholinguistics 8. Kimberly Statchenfeld, DeepMind 9. Josh Tenenbaum, MIT Formatting Instructions: All submissions must be in PDF format. Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. You must format your submission using the ICLR 2021 LaTeX style files. Submissions that meaningfully violate the ICLR style (e.g., by decreasing margins or font sizes) or page limits may be rejected without further review. All submissions should be anonymous. The review process is double-blind. We also welcome recently (within the last year) published papers that are within the scope of the workshop (without re-formatting). Already-published papers do not have to be anonymous. They are eligible for a spotlight session and will only have a very light review process. Virtual format: The workshop will be geared towards more dynamic and interactive discussion focused on Q&A sessions. Accepted abstracts and papers will result in, at minimum, a pre-recorded spotlight talk. All presenters will be given live virtual “coffee break” rooms during all breaks in the conference schedule to engage in small group discussions with participants. Discussions around talks will be organized in live virtual “breakout” rooms with similar topics and themes so that workshop attendees and presenters can interact in a less formal, discussion-centric setting. Important Dates: Paper submission deadline: 11:59 PM EST, Feb 26, 2021 Author notification: 11:59 PM EST, Mar 26, 2021 Camera-ready papers due: 11:59 PM EST, Apr 15, 2021 Workshop: May 8, 2021

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2 NEUROSCIENCE / DATA SCIENCE POSITIONS (Deadline: 11 Feb 2021)
by Prata, Diana 25 Jan '21

25 Jan '21

2 NEUROSCIENCE / DATA SCIENCE RESEARCH POSITIONS IN LAB AT UNIVERSITY OF LISBON (DPRATALAB.WORDPRESS.COM <http://dpratalab.wordpress.com/>) (Deadline: 11 Feb 2021) 1 RESEARCH POSITION IN BIOMEDICAL DATA SCIENCE Work plan: Statistical analysis of retrospective neuroimaging and clinical data, using artificial intelligence (machine learning) for the development and validation of diagnostic neuroimaging biomarkers, with high potential of clinical applicability; coordination with Portuguese and UK research, IT and medical teams within an academic-entrepreneurial join-venture, with the goal of helping clinical decision-making in neurodegenerative illnesses. Up to 2 years duration. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=130697 <http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=130697> 1 RESEARCH POSITION IN HUMAN NEUROSCIENCE Work plan: Statistical analysis of varied psychophysiological data (EEG and/or MRI and/or pupillometry) and write up of scientific articles in clinical study with pharmacological intervention of oxytocin, with the goal of characterizing the role of oxytocin in human brain function in health and in psychosis. Up to 1.5 years duration. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=130890 <http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=130890> Diana Prata, Phd Principal Investigator & Lecturer, Institute of Biophysics and Biomedical Engineering, FCUL Visiting Lecturer, IoPPN, King's College London Associate Investigator, CIS, ISCTE-IUL (+351)966595936; https://dpratalab.wordpress.com/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdpratalab…>, https://neurocolab.wordpress.com/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fneurocola…>.

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Postdoc position in multimodal imaging of brain dynamics
by Laura Lewis 25 Jan '21

25 Jan '21

Dear colleagues, We have an open postdoctoral position in multimodal imaging of brain states, please feel free to circulate the ad below. *Postdoctoral position in multimodal imaging of brain dynamics* We have an opening for a postdoctoral associate to lead multimodal neuroimaging studies of brain function in Laura Lewis' lab in the Department of Biomedical Engineering at Boston University ( http://www.lewisneurolab.org) This position offers the opportunity to develop multimodal neuroimaging and analysis techniques, and study the neural basis and cognitive consequences of sleep and arousal states. We use fast fMRI, simultaneous EEG-fMRI, computational modeling, ultra-high field (7 Tesla) imaging, and other multimodal approaches to measure and analyze brain function across diverse states. Areas of focus include: - fast fMRI/EEG studies of brain dynamics - thalamic and brainstem networks across vigilance states - neural basis of sleep and sleep deprivation - sleep and mood states in major depression - neurovascular coupling and cerebrospinal fluid physiology - sleep and brain function in aging The lab is a fast-paced and interdisciplinary environment that supports its members in achieving their long-term research and career goals, and has strong collaborations throughout the Boston-area computational neuroscience and neuroimaging communities. The position may involve conducting neuroimaging studies at both Boston University and at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital. For more information, see http://www.lewisneurolab.org/positions . This position requires a Ph.D. in neuroscience, engineering, computer science, psychology, or related fields. To apply, please email C.V., a statement describing research experience and future interests and goals, and names of three references to Laura Lewis, ldlewis(a)bu.edu thanks, Laura Lewis Assistant Professor of Biomedical Engineering Boston University https://www.lewisneurolab.org/

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CFP 30th International Conference on Artificial Neural Networks ICANN 2021, Sept 14-17, Bratislava, SK
by Paolo Masulli ENNS 22 Jan '21

22 Jan '21

30th International Conference on Artificial Neural Networks ICANN 2021 https://e-nns.org/icann2021 Bratislava, Slovakia 14 - 17 September 2021 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021 in Bratislava, Slovakia. *Possibility of online/hybrid event:* in case the organization of a physical event will not be possible because of COVID-19 travel/gathering restrictions, the conference will happen online. * **CONFERENCE TOPICS* ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and 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. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement 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, 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 2021 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* ICANN 2021 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2021(a)fmph.uniba.sk *CALL FOR PAPERS* Authors willing to present original contributions in either 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/icann2021/ *IMPORTANT DATES* Deadline for special sessions proposals: 1 Mar 2021 Opening of contribution submissions: 15 Feb 2021 Deadline for full paper and extended abstract submission: 15 Mar 2021 Notification of acceptance: 1 May 2021 Camera-ready paper and registration opening: 1 June 2021 Deadline for early registration at discount rate: 30 June 2021 *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: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS)

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Registration Deadline is approaching!
by Mary 21 Jan '21

21 Jan '21

Dear community, As we are approaching deadline (January 30) for registering for "EEG/ERPs Recording and Analysis: A multifaceted approach to EEG signals" Online Course, here is a reminder for the interested researchers who haven’t been registered yet. The "EEG/ERPs Recording and Analysis: A multifaceted approach to EEG signals" Online Course is going to be held by Dr. Raphaël Fargier, PhD in Cognitive Neuroscience, Université Claude Bernard Lyon 1, France, who is a researcher in cognitive neuroscience with 10 years of experience and his research is focused on semantic cognition and the neurobiology of language. Through the course you will learn about the basics of EEG signal and how to record it. You will learn different approaches to EEG signal processing, that are more or less commonly adopted in cognitive neuroscience, including the study of Event-Related Potentials, Microstates/Topographic patterns, and Brain oscillations. You will learn about EEG signal preprocessing and how to compute ERPs, Microstates and Time-frequency maps in relationship with the constraints linked to experimental manipulations and designs. There will be a heavy focus on critical thinking about the choices of analyses as a function of research questions, challenges depending on experimental designs, and parameters to pay attention to. The variety and appropriateness of statistical methods currently used to validate (or not) hypotheses about cognitive processes will also be discussed. All of that will be evidenced through the presentation and discussion of case studies in electrophysiology of language. At the end of the course, you will know the strengths and weaknesses of these tools, and will be able to decide which measure is best adapted to your own scientific investigations about cognition. Prospective overview of the sessions 1. Basics of EEG signal and EEG recordings * Overview of the theory behind neural signals * Contrasting neuroimaging methods * Presentation of different EEG recording systems and their classical features * Tips on EEG recordings * Principles of experimental designs using EEG in cognitive neuroscience (events, timing etc) 2. EEG pre-processing Goal: Mastering the successive pre-processing steps including principles and challenges of: * Artifact rejection and correction (e.g. ICA; 3D Spline electrode interpolation) * Filtering (e.g. parameters, band widths etc) * Re-referencing (e.g. mastoid, average reference, Laplacian) * single-to-noise and number of trials 3. ERPs * Presentation of classical ERPs as markers of cognitive processes(e.g. N1/P2, P1, N400, etc.) * Computing single-subject and group-average ERPs: Pre-stimulus baseline correction (rationale, parameters, tips) Methods used to extract measures including amplitudes, latencies and topographies of ERPs Methods for statistical evaluation of differences across experimental manipulations * Differences between stimulus-aligned and response-aligned epochs, and associated challenges for signal processing 4. Spatio-temporal segmentation * Origin of microstates * Rationale of Spatio-temporal segmentation (StS) and presentation of successive steps of analyses (e.g. Topography consistency test, Tanova) * Presentation of two ways to compute StS (different toolboxes) and the respective parameters to take care of * Extraction of measures, and statistical evaluations of differences across experimental manipulations via fitting (e.g. global explained variance, duration, presence, etc.) * Single-trials and mixed models 5. Time-frequency analyses * Rationale of oscillatory dynamics in EEG signal (evoked vs. induced activity) * Challenges in pre-processing to obtain time-frequency maps as compared to ERPs * Different methods used for time-frequency decomposition * Challenges of baseline normalization (the case of response-aligned epochs) * The various measures that can be extracted from time-frequency maps and the variety of approaches for statistical validation You can watch the introductory webinar to this course using the linke below: https://sciencebeam.com/raphael-fargier-webinar/ For more information and registration click on the link below: https://sciencebeam.com/eeg-erps-recording-and-analyses/ Don’t miss this opportunity!

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