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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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