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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil

by Antonio Roque

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering *three post-doctoral fellowships* for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, São Paulo), USP campus Ribeirão Preto or University of Campinas (UNICAMP). We seek candidates capable to develop independent research in one of the research lines below: 1. Stochastic and/or computational modeling of the brain functioning; 2. Acquisition, processing and quantitative analysis of electrophysiological data; 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered; and/or - A strong mathematical and / or computational background and experience with computers and programming. Previous experience with development and / or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming; and/or - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: - A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic / electric field simulation will be favorably considered; and/or - A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions* Applicants should complete and submit the application form (https://neuromat.numec.prp.usp.br/postdoc/new/) The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see http://www.fapesp.br/en/6351 for instructions); - List of publications, with links to those available online; - A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program ( https://neuromat.numec.prp.usp.br/scientific-project/) - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. FAPESP requirements: The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR Nº 13/2009, 15 July 2009). The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR Nº 13/2009, 15 July 2009). *Timetable* Candidates are encouraged to apply at their earliest convenience until August 16, 2020. Appointments are expected to start by November 1st, 2020. The initial period of the position lasts for 12 months, with possible renovations for up to three years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. Check the rules of FAPESP post-doctoral fellowships at: http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

July 1, 2020

[SOFTWARE] Open-Source Neurodynamic Modeling Software PyRates

by Richard Gast

The Brain Networks Group and Neurophysics Department of the Max-Planck Institute for Human Cognitive and Brain Sciences Leipzig released an open-source Python software for neural network and dynamical systems modeling: PyRates (https://github.com/pyrates-neuroscience/PyRates, https://www.cbs.mpg.de/departments/neurophysics/software/pyrates) Main features of PyRates are: - Intuitive and re-usable model definitions via YAML files or purely in Python - networkx representations of each model allows to compute graph theoretic measurements on the fly (https://networkx.github.io/) - Efficient numerical simulations via scipy, numpy and tensorflow - evolutionary model parameter optimization - large-scale parameter sweeps on single machines and compute clusters - parameter continuation and bifurcation analysis via auto-07p For a full list of features and their documentation, check out the PyRates documentation at https://pyrates.readthedocs.io/en/latest/. For feedback and contributions, contact us via our GitHub repository: https://github.com/pyrates-neuroscience/PyRates. Install instructions can be found there as well!

July 1, 2020

Opening for Research Associate

by Paola Malerba

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

June 30, 2020

Bernstein Conference 2020 - abstract submission deadlines extended

by a.dorrn＠fz-juelich.de

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

June 30, 2020

Information theory workshop at CNS*2020 -- call for contributed talks

by Joseph Lizier

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

June 30, 2020

Computation research assistant - DZNE Berlin

by Silvia VianadaSilva

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

June 30, 2020

[JOBS] PhD @ Italian Institute of Technology, Ferrara

by Alessandro D'Ausilio

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

June 30, 2020

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

by Laurent Perrinet

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

June 30, 2020

Can you define behavior?

by Adam J Calhoun

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

June 30, 2020

Senior Post-Doc Fellowship Grant in Neuromorphic Computing/Hardware

by bernabe

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

June 29, 2020

Postdoc and PhD positions in EU project on motor control and movement augmentation

by Tobias Pistohl

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

June 29, 2020

Scientific Project Coordinator for an open science, large-scale collaboration

by Lucia Melloni

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

June 28, 2020

Apply for a presentation slot at the 1st Brain-Computer Interface Un-Conference (BCI-UC)!

by Moritz Grosse-Wentrup

Dear Colleagues: We're thrilled about your positive responses to the 1st BCI Un-Conference! If you wish to give a presentation at the un-conference, you can still submit an abstract via https://bciunconference.univie.ac.at/ Because there will be no conference proceedings, we also welcome abstracts that cover already published work! Voting on abstracts commences on Monday, June 29. The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

June 27, 2020

Correction: Virtual Mini-symposiums on Olfaction, SIAM-LS20

by Cheng Ly

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

June 26, 2020

Virtual Mini-symposiums on Olfaction, SIAM-LS20

by Cheng Ly

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

June 26, 2020

Tenure-Track Assistant Professor in Professorship in Cognitive Neuroscience of brain-microbiome interaction (University of Vienna)

by Lei Zhang

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

June 25, 2020

ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020

by Rava A. da Silveira

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

June 25, 2020

Job Opening: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University

by COMP HKBU

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

June 22, 2020

Beyond Hebb FENS 2020 symposium

by Cian O'Donnell

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

June 19, 2020

CALL: Pattern Recognition in Neuroimaging Virtual Summer School

by Jozsef Arato

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

June 18, 2020

Fully funded PhD in Electrophysiology: Closed-loop Transcranial Electric Stimulation

by Axel Hutt

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

June 18, 2020

Announcing the 1st Brain-Computer Interface Un-Conference (BCI-UC)

by Moritz Grosse-Wentrup

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

June 17, 2020

Computational neuroscience postdoc opportunity at Rutgers University

by Aaron Milstein

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

June 16, 2020

NEST Conference 2020 Program — Registration Deadline Monday 22 June 2020

by Hans Ekkehard Plesser

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

June 16, 2020

Call for submissions for the special issue on "Reaching and Grasping the Multisensory Side of Dexterous Manipulation"

by Ivan Camponogara

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

June 16, 2020

PhD position in machine learning and computational neuroscience at the University of Vienna

by Moritz Grosse-Wentrup

Dear all, We have an open doctoral position at the intersection of machine learning and computational neuroscience as part of the Zebrafish Neuroscience Interdisciplinary Training Hub (https://zenith-etn.com/) The goal of the Ph.D. project is to develop multi-level causal models that relate neuronal activity patterns (as measured by Calcium imaging) in Zebrafish larvae to behavior. To get a better idea of how we approach this problem, please take a look at https://www.youtube.com/watch?v=P-U50EO77cU The position is based in the Research Group Neuroinformatics at the Faculty of Computer Science of the University of Vienna (https://ni.cs.univie.ac.at/) All work will be done in close collaboration with other European groups in the ZENITH consortium, e.g., in London and Paris. Depending on how the ongoing pandemic develops, extended stays at collaborating research labs are intended. Salary is according to the Collective Bargaining Agreement for university staff (job group B1 75%, https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch…) We welcome applications from anybody with a Master's degree and an interest in machine learning and computational neuroscience. We particularly welcome applications by women, trans- and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. We will start screening applications on July 1st, though the position will remain open until filled. We would like to fill the post as soon as possible, but a later starting date can be negotiated. Your application should include a brief cover letter, a CV, transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

June 15, 2020

6th International Conference on Mathematical Neuroscience - Second announcement

by Tilo Schwalger

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

June 15, 2020

Ph.D. at the University of Potsdam

by GUEVARA ERRA RAMON MARIANO

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

June 12, 2020

ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020

by Rava A. da Silveira

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

June 8, 2020

Goethe interactive Covid-19 analyzer - free web tool

by Claudius Gros

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

June 8, 2020

postdocs with Peter Dayan in Tübingen

by Peter Dayan

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

June 7, 2020

Post Doc on Data Science and Computational Neuroscience in London

by Dimitris Pinotsis

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

June 6, 2020

2 postdoc positions at CHAIN

by Hideaki Shimazaki

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

June 5, 2020

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

by Ching, ShiNung

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

June 5, 2020

[announcement] Dynamics Days Digital 2020

by desroche

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

June 5, 2020

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

by Mufti Mahmud

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

June 5, 2020

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

by Nicolás Navarro-Guerrero

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

June 3, 2020

Post-doctoral position in software engineering and computational neuroscience at Brown University

by Stephanie Jones

Post-doctoral position in software engineering and computational neuroscience at Brown University Applications are invited for a postdoctoral position in software engineering and computational neuroscience in the lab of Dr. Stephanie Jones at Brown University. Our group combines human electrophysiological recording, computational neural modeling, and non-invasive brain stimulation techniques to study the mechanisms and meaning of brain dynamics in health and disease. We developed a new neural modeling software tool designed for researchers and clinicians to develop and test predictions on the cell and circuit level origin of human electro- and magneto-encephalography (E/MEG) data. This open-source tool is called Human Neocortical Neurosolver (HNN) and is distributed at https://hnn/brown.edu (Neymotin et al eLife 2020). The hired candidate will help expand HNN’s capabilities, including software development using best-practices in open-source design and community support. The candidate will also work directly with researchers to apply HNN to specific neuroscience questions. Duties will include development of tutorials, online resources, and participation in workshops aimed at training the community in the use and applicability of HNN. The candidate will work with a diverse team of researchers at Brown, Mass General Hospital, and Yale University involved in HNN development. Candidates should have a PhD in computer science, neuroscience, biomedical engineering, and/or related field. Strong Python programming skills are required, and experience with neural modeling, particularly NEURON, is preferred. Software developers without a PhD may also be considered. Familiarity with E/MEG analysis methods and/or non-invasive brain stimulation is also beneficial. Candidates should be able to work in a dynamic, interdisciplinary, and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)alumni.brown.edu. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://sites.brown.edu/stephanie-r-jones-lab/ Human Neocortical Neurosolver https://hnn.brown.edu

June 3, 2020

NEST Conference 2020 Registration now open

by Hans Ekkehard Plesser

Dear Colleagues! The NEST Conference Website is open again on https://nest-simulator.org/conference and we have now opened for registration as well. Registration by 22 June 2020 is required for attendance. Only registered users will receive log-in information for the conference. Registration to the conference is * free of charge for members of the NEST Initiative * 35 CHF for non-members To qualify for the member rate, you must apply for membership in the NEST Initiative by 10 June. See http://www.nest-initiative.org/membership/ for information on how to join. Membership is currently free of charge for students, including PhD students, and 25 CHF annually for everyone else. We are looking forward to seeing you on 29/30 June! Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

June 3, 2020

online Bernstein Conference 2020 – call for abstracts

by a.dorrn＠fz-juelich.de

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. In 2020, the conference will be held entirely online for the first time. www.bernstein-conference.de<bit.ly/BC_online> ____ IMPORTANT DATES * Bernstein Conference: September 29 – October 1, 2020 * Abstract submission open: June 5, 2020 * Deadline for submission of abstracts to be considered for Contributed Talks: July 1, 2020 * Deadline for abstract submission: August 1, 2020 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: The timeline for the online Bernstein Conference 2020 schedules four talk and poster sessions. Submitted abtracts can either be considered as contributed talks or posters. Abstract submission will open on June 5. Further information can be found here: bit.ly/BC20abstracts. ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerranée, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'École normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 3, 2020

Young post-doc position at IMSE, Spain

by bernabe

The "Instituto de Microelectrónica de Sevilla" (IMSE) in Spain has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs) financed by the Andalusian Regional Government. Gross annual salary is 30k€, which allows for a wealthy life in Sevilla. Requirements: - Official PhD graduation date must be after May 27th 2015, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - One special requirement is that candidates must present an official certificate from the Public Employment Service of their country showing they are either unemployed or demanding a better position. - Deadline for candidacy submission is June 17th, although prospective candidates should contact us at bernabe(a)imse-cnm.csic much earlier to prepare the proposal. The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group, can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. --

June 3, 2020

Assistant Professor / Lecturer position with Machine Learning focus

by Peter Andras

Lecturer in Data Science (Education & Research) (equivalent of tenure-track Assistant Professor) with Machine Learning focus Keele University - School of Computing and Mathematics Location: Keele Salary: £42,783 to £52,560 Grade 8 Hours: Full Time Contract Type: Permanent Placed On: 18th May 2020 Closes: 17th June 2020 Job Ref: KU00001483 <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d864042LDgx%1BUSESSION=&WVID=0493472Nsk&LANG=USA> <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d864042LDgx%1BUSESSION=&WVID=0493472Nsk&LANG=USA> Faculty of Natural Sciences School of Computing and Mathematics Salary: Grade 8, £42,783 - £52,560 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £170 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of excellent academics in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science but in particular areas that complement data science such as data analytics, artificial intelligence, machine learning, visualisation, and statistics, and who have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The lectureship post is part of continued growth and expansion of Computer Science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. The successful candidate will be expected to lead the delivery of a new MSc programme in Artificial Intelligence and Data Science ( <https://www.officeforstudents.org.uk/news-blog-and-events/press-and-media/f unding-boost-for-new-courses-in-artificial-intelligence-and-data-science/> funded by the Office for Students) and develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data, global health or social inclusion. Details of the research carried out in Computer Science at Keele can be found <https://www.keele.ac.uk/scm/research/computerscienceresearch/> https://www.keele.ac.uk/scm/research/computerscienceresearch/. The successful candidate will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate and postgraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules and programmes. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk. The University is committed to operating flexible working practices wherever possible. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. For full post details please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 17th June 2020 Post reference: KU00001483

June 2, 2020

Assistant Professor / Lecturer position

by Peter Andras

Lecturer in Data Science (Education & Research) (equivalent of tenure-track Assistant Professor) Keele University - Faculty of Natural Sciences - School of Computing and Mathematics Location: Keele Salary: £42,793 to £51,034 Hours: Full Time Contract Type: Permanent Placed On: 20th May 2020 Closes: 17th June 2020 Job Ref: KU00001484 <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d445276LDkO%1BUSESSION=&WVID=0493472Nsk&LANG=USA> <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d445276LDkO%1BUSESSION=&WVID=0493472Nsk&LANG=USA> Salary: Grade 8, £42,793 - £51,034 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £170 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of excellent academics in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from enthusiastic individuals committed to high quality research and teaching in any relevant field of Mathematical or Statistical Data Science (e.g. statistics, mathematical artificial intelligence, mathematical machine learning, statistical data science, computational data science but not restricted to these particular fields, although the preference is a field in Pure Mathematics), and who have interests that complement our existing research strengths while broadening the scope of our research and teaching expertise. The lectureship post is part of continued growth and expansion of Data Science and Mathematics at Keele, which presents many new opportunities for the development of synergies in both teaching and research. The successful candidate will be expected to develop an active research programme that both complements and extends our existing profile in Data Science, Mathematics and Statistics. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data, global health or social inclusion. Information about the Mathematics and Statistics research context or Computer Science research context at Keele can be found at: <https://www.keele.ac.uk/scm/research/mathematicsresearch/> https://www.keele.ac.uk/scm/research/mathematicsresearch/ <https://www.keele.ac.uk/scm/research/computerscienceresearch/> https://www.keele.ac.uk/scm/research/computerscienceresearch/ The successful candidate will have a PhD in an appropriate area of Mathematical, Statistical or Computer Science (or be very close to completion of their PhD) and will have a strong commitment to delivering high quality undergraduate and postgraduate research and teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of Data Science, Mathematics and Statistics topics and will also contribute to recruitment activities and administrative duties within our Data Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. The University is committed to operating flexible working practices wherever possible. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. For full post details and to find out more about working at Keele please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 17th June 2020

June 2, 2020

The Canadian Computational Neuroscience Spotlight to take place virtually on June 15 and 16

by Scott Rich

We are happy to announce the upcoming Canadian Computational Neuroscience Spotlight (CCNS) will take place virtually on June 15 and 16. This free meeting will be hosted using the Crowdcast platform, which has been successfully used for numerous virtual conferences over the past weeks and has a multitude of tools to facilitate the interactivity we often associate with traditional conferences. Registration is now open at https://www.crowdcast.io/e/CCNS/register <https://www.crowdcast.io/e/CCNS/register>. The keynote speakers for this event are Dr. Nancy Kopell (Boston University), Dr. Dimitris Pinotsis (City-University of London), Dr. Cameron McIntyre (Case Western University), and Dr. Philip Corlett (Yale University). The entire schedule, including other confirmed speakers, is available at https://www.crowdcast.io/e/CCNS/register <https://www.crowdcast.io/e/CCNS/register>. Our primary goal is for this to be a “trainee focused” meeting, considering it is likely this “next generation” of computational neuroscientists who may be most affected by the recent cancellation and postponement of many traditional physical conferences. Our themed sessions will begin with a “tutorial” talk, providing an introduction to an important topic or tool to be discussed in the session, in order to make the meeting more accessible to trainees at any level. We also will be hosting a panel “Q&A” session each day where trainees will be invited to ask questions of the organizers and speakers about the day’s presentations as well as more general topics. We note that while the meeting has been deemed a “Canadian” spotlight, it is intended for a global audience and includes a similarly global range of speakers. The Canadian focus was developed given that specific conferences in our country scheduled for this summer have been cancelled or postponed, as well as the desire for us to advertise the growing computational neuroscience community across Canada. Please feel free to advertise this meeting in any avenues you deem appropriate, including institutional listservs, lab communication, and social media. We look forward to seeing you at CCNS! 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.

June 2, 2020

[jobs] 5 PHD POSITIONS IN COGNITIVE ROBOTICS, INTERACTION AND REHABILITATIONS TECHNOLOGIES AT IIT IN COLLABORATION WITH UNIVERSITÀ DI GENOVA - [ PhD ]

by Francesco Rea

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 general objective of the program is to form scientists and research technologists capable of working in multidisciplinary teams on projects where human factors play a crucial role in technological development and design. The 5 fellowships offered this year by the Istituto Italiano di Tecnologia as part of this curriculum will be assigned to the best applicants to one of the six themes offered within the curriculum, that can be found at the following address under the "Cognitive Robotics Interaction Rehabilitation technologies" Research themes: https://www.iit.it/phd-school/phd-school-genoa Here you can find the direct link to the list of themes in: List of Themes (PDF): https://www.iit.it/phd-school-docs/phd-2020/722-cognitive-robotics-interact… The deadline for the application is at 12:00 (Italian time) of the 15th June 2020 The interested applicants can find more details on the application and unofficial tip & tricks page to the application process: https://www.iit.it/phd-school/phd-school-admission-guide All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, besides two iCub humanoid Robots, a fully equipped motion capture room with simultaneous electromyography recording and force-platforms, a Transcranial Magnetic Stimulation Lab, an Electrophysiology Lab for EEG recording and meeting rooms. The ideal candidates are students with a higher level university degree willing to invest extra time and effort in blending into a multidisciplinary team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions and realize intelligent machines, rehabilitation protocols and advanced prosthesis. Interested applicants are encouraged to contact the perspective tutors for clarifications before submitting their application. International applications are encouraged and will receive logistic support with visa issues and relocation. Within this curriculum, RBCS Robotics, Brain and Cognitive Sciences department sponsors: *) Autonomous learning in human-robot interaction: towards transparent robot symbiosis in skill acquisition *) The role of social signals in human-robot interaction in group *) Cortical networks for affective communication in human robot interaction *) Altered reality for rehabilitation and training of low-vision individuals

June 2, 2020

PhD opportunity - Insect Intelligence @ Edinburgh

by Barbara Webb

The Insect Robotics group led by Prof. Barbara Webb, in the School of Informatics at the University of Edinburgh, has two funded positions available for PhD candidates, to start no later than January 2021. The topic of research will be the neural mechanisms of navigation in insects, building on our recent work modelling the central complex and the mushroom body circuits. Insects have relatively small brains but exhibit substantial intelligence and flexibility in their ability to navigate complex environments, providing an opportunity to understand problems of learning, generalisation, cue integration etc. at the level of single neurons and their connectivity. The primary project aim will be to build detailed computational models, working closely with anatomical and physiological data from our project partners, and to explore the behavioural consequences in simulated and robot agents. There will also be the opportunity to do behavioural experiments on relevant model species such as ants and dung beetles, to complement the modelling results. Students will be fully supported for 3.5 years with a standard stipend, all fees covered, and an allowance for travel and research costs. Interested candidates should in the first instance contact Barbara Webb <B.Webb(a)ed.ac.uk>. Further information about the research degrees in Informatics at Edinburgh and the formal application process can be found here: https://www.ed.ac.uk/informatics/postgraduate -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

June 2, 2020

Two PhD positions in computational modeling of brain areas and neurorobotics

by Jesús Garrido

The *Applied Computational Neuroscience (ACN) research group* ( https://acn.ugr.es) headed by Prof. Eduardo Ros at the University of Granada (UGR) is looking for talented Master or PhD students interested in working in the field of computational neuroscience and neurorobotics, specifically addressing questions of motor learning and adaptation. The perfect candidate shall possess a strong mathematical, computational or robotic engineering background (or equivalent), with great interest in biological and neural systems. Demonstrated programming skills are mandatory. *Requirements:* - Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. - Demonstrated programming skills (Matlab, C/C++, Python) are required. - Knowledge on computational neuroscience software (BRIAN, NEURON, NEST,…etc ) are a plus although not mandatory. - Robotics control middleware (ROS) is highly valuable. - Robotics (ROS) and programming languages (Matlab, C/C++, Python) are highly valuable. - Proficiency in oral and written English is required. - Knowledge of Spanish is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations within EU projects. *Full Description of the Job Offer* can be found at: http://sl.ugr.es/hbpcontract *How to apply* Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to Niceto Luque (nluque(a)ugr.es) and Jesús Garrido (jesusgarrido(a)ugr.es) Short listed candidates will be contacted for an interview (either face-to-face or via videoconference).

June 1, 2020

Postdoctoral position in the Neuromodulation and Neuroprosthetics team, led by Dr. Fabien Wagner, at the Institute of Neurodegenerative Diseases, University of Bordeaux, France

by Fabien Wagner

Our team develops new neuromodulation paradigms and neuroprosthetic systems for repairing or replacing circuit-level functions that get disrupted after neurological disorders or injury. Our research combines techniques from Neuroscience and Neuroengineering , in particular in vivo electrophysiology, signal processing, machine learning and control engineering. We are specifically interested in expanding neuroprosthetic systems from motor to cognitive disorders. In particular, we aim at developing a large-scale brain network neuroprosthesis to restore memory after brain injury or neurodegenerative diseases such as Alzheimer’s disease. To strengthen our team, we are looking to hire a motivated postdoctoral researcher, who will be expected to work on multielectrode recordings and electrical stimulation of large-scale memory networks in non-human primates performing cognitive tasks. The ideal candidate should have expertise in non-human primate electrophysiology, neurostimulation, memory disorders, brain-machine interfaces, or neuroprosthetics. This highly interdisciplinary project requires both experimental and analytical skills, and will be conducted in collaboration with other team members. The position is currently funded for a duration of 3 years. Interested applicants should send their CV to the principal investigator at : [ mailto:fabien.wagner@u-bordeaux.fr | fabien.wagner(a)u-bordeaux.fr ] . Keywords : neuromodulation, neuroprosthetics, neuroengineering, brain stimulation, brain-machine interfaces, memory, cognition. --- Fabien Wagner, Ph.D. Team leader: Neuromodulation and Neuroprosthetics Institut des Maladies Neurodégénératives - CNRS UMR 5293 Université de Bordeaux Centre Broca Nouvelle-Aquitaine - 3ème étage 146 rue Léo Saignat - CS 61292 - Case 28 33076 Bordeaux cedex [ http://www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ | www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ ] [ http://www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ | www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ ]

June 1, 2020

PhD position at Rehab Technologies Lab (Italian Institute of Technology)

by Marianna Semprini

We seek a highly motivate PhD student for working at the Rehab Technologies Lab at IIT. Rehab Technologies is an innovation lab aimed at translating robotic technologies into hi-tech medical products for people with disabilities, including also neural interfaces and personalized neuroengineering solutions for promoting neuroplasticity, with the goal of replacing and/or retraining motor functionalities. We are also interested in monitoring the neural correlates of the rehabilitation treatment, by means of measures based on network connectivity extracted with hdEEG. The PhD project will mainly focus on this activity and will thus include experiments with patients and strong collaboration and interaction with our clinical partners. To this end, the candidate will benefit from a lively network of collaborations with hospitals and research institutions in Italy and abroad. The ideal candidate should: hold a degree in electronic/biomedical engineering or related disciplines, have proficient programming skills (Matlab/Simulink, C and/or Python), be a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment. Former lab experience and previous technical and scientific results will be highly considered. Applications will be collected through the UNIGE portal https://www.iit.it/careers/openings/opening/1215-1-phd-position-in-bioengin…. Deadline for application is June 15th. Please feel free to contact us for informal enquire. Contacts: michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it>; marianna.semprini(a)iit.it<mailto:marianna.semprini@iit.it> References: * Iandolo R., Semprini M., Buccelli S., Barban F.iit, Zhao M., Samogin J., Bonassi G., Avanzino L., Mantini D., Chiappalone M. (2020). Small-World Propensity Reveals the Frequency Specificity of Resting State Networks. IEEE Open Journal of Engineering in Medicine and Biology. * Semprini M., Laffranchi M., Sanguineti V., Avanzino L., De Icco R., De Michieli L., & Chiappalone M. (2018). Technological approaches for neurorehabilitation: from robotic devices to brain stimulation and beyond. Frontiers in Neurology, 9, 212.

May 29, 2020

Post doc position at UCL in human motion sequencing to investigate threat-related behaviour (PI Dominik R Bach)

by Dominik R. Bach

We are looking for a for a Research Fellow in human motion sequencing, for an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dr Dominik Bach (bachlab.org) The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will conduct full-body motion capture recordings, recover kinematics and dynamics, and structure the ensuing trajectories using hierarchical statistical models incorporating movement mechanics. We want to find out how motor primitives and their sequences are shaped by threat features and by the cognitive mechanisms that they engage. For more background, see references below. The post is based in London UK, at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research (www.mps-ucl-centre.mpg.de <www.mps-ucl-centre.mpg.de/>), which is part of the Wellcome Centre for Human Neuroimaging (fil.ion.ucl.ac.uk) at UCL Queen Square Institute of Neurology, a world-class research environment. Applicants should have (or be close to obtaining) a PhD in machine-learning, robotics, computer science, motor science, biomechanics, computational neuroscience, or a related area, by the agreed start date of the position. Experience with motion capture, inverse kinematics and dynamics (in humans or robots), movement trajectory analysis and structuring are essential. Strong background in contemporary machine-learning and applied statistics is essential, as are solid mathematical skills and good general IT and software development knowledge. Familiarity with virtual reality and/or human/animal defensive behaviour would be desirable. The post is funded from Autumn 2020 for 3 years in the first instance. Starting salary on the UCL salary scale, £35,328 - £42,701 per annum, inclusive of London Allowance, superannuable. Closing date is 24. June 2020. You should apply for this post through UCL's online recruitment system – bit.ly/2LYRH64. Shortlisted candidates will be interviewed remotely in early-mid July. Applicants may contact Dr Dominik Bach directly (email: d.bach(a)ucl.ac.uk) for further information. References: Bach & Dayan (2017) Nature Reviews Neurosciences <http://bachlab.org/wp-content/uploads/2018/03/Bach-Dayan-2017-NRN-Algorithm…> Korn & Bach (2019) Nature Human Behaviour <https://doi.org/10.1038/s41562-019-0603-9> Please circulate - apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow MPCUCL & WCHN, University College London http://bachlab.org | @bachlab_cog

May 28, 2020