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Postdoc position in modeling in vivo dendritic activity of cortical pyramidal neurons
by Erik De Schutter Aug. 3, 2019

Aug. 3, 2019

The Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology (OIST) is starting a project on modeling behaviorally relevant dendritic activity in layer 5 cortical pyramidal neurons. This will be a collaboration with Prof. Wen-Biao Gan at the New York University School of Medicine (https://med.nyu.edu/faculty/wenbiao-gan) who will provide in vivo data to constrain the models. The goal is to build quantitative models that capture how synaptic input drives dendritic calcium spiking in the apical tuft, how this activity is transmitted down the apical dendrite and changes somatic output as demonstrated, for example, in Cichon and Gan, Nature 2015. Candidates should have a PhD in (computational) neuroscience with good knowledge of dendritic physiology and experience in using the NEURON software to simulate compartmental models of neurons. Previous experience in modeling pyramidal neurons is a plus but not required. OIST is a young, fast-growing research-oriented interdisciplinary graduate university, located on the subtropical paradise island of Okinawa (https://www.visitokinawa.jp/) Despite being a newcomer in the academic world, OIST was recently ranked as #10 in the world on the Normalized Nature Index (https://www.natureindex.com/annual-tables/2019/institution/academic-normali…) It offers attractive financial and working conditions in an English language graduate university. Starting date any time before begin 2020. Send curriculum vitae, summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp

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Fwd: [Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)
by Dimitri Ognibene Aug. 1, 2019

Aug. 1, 2019

** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 14th of August** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m… <https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m…> A PhD scholarship on the same topics is also out with deadline on the 30th of August Check <http://sites.google.com/site/dimitriognibenehomepage/jobs>http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/>jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project “COURAGE: A Social Media Companion Safeguarding and Educating Students”. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://www.google.com/url?q=https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FBSW396%2F…> For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 <https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0> Applicants are encouraged to contact Dr. Dimitri Ognibene <mailto:dimitri.ognibene@essex.ac.uk> (dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque Aug. 1, 2019

Aug. 1, 2019

*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 two 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 of developing 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; - 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; - 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; - 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. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see 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. - Pointers to other research-related output, such as software, web pages. 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* a. The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. b. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR No 13/2009, 15 July 2009). c. 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). For more information about the scholarships see http://www.fapesp.br/bolsas/pd. *Timetable* Candidates are encouraged to apply at their earliest convenience until August 27, 2019. Appointments are expected to start by October 1st, 2019. The initial period of the position lasts for 12 months, with possible renovations for up to four 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>

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Recent research article
by Osva Velarde July 31, 2019

July 31, 2019

Dear Colleagues, We are happy to share with you our work about the mechanisms of phase-amplitude cross frequency coupling (PAC) in models of biologically plausible neural networks. We think this work opens a new and valuable connection between theory of dynamical systems and the field of signal processing in neural networks and other biophysical systems. In particular, one of the proposed tools, the Time Locked Index (TLI), is suitable to efficiently quantify the harmonic content of experimental recordings. Hope you find this useful. Feedback is most welcome. "Bifurcation structure determines different phase-amplitude coupling patterns in the activity of biologically plausible neural networks" O M Velarde, E Urdapilleta, G Mato, and D Dellavale. NeuroImage https://doi.org/10.1016/j.neuroimage.2019.116031 The paper is freely available at: https://www.researchgate.net/publication/334582958_Bifurcation_structure_de… Source code for TLI computation:https://github.com/damian-dellavale/Time-Locked-Index With kind regards, Osvaldo Matías Velarde Departamento de Física Médica Instituto Balseiro - Centro Atómico Bariloche R8402AGP Bariloche, Río Negro, Argentinaosva_velarde@yahoo.com.arosva.m.velarde@gmail.com https://fisica.cab.cnea.gov.ar/fisicamedica/

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Opening for Group Leader of Bio Data Science group
by Romuald Janik July 31, 2019

July 31, 2019

Dear Colleagues, Starting from Fall 2019, the Jagiellonian University in Krakow, Poland will host a 4-year interdisciplinary project Bio-Inspired Artificial Neural Networks The broad aim of the project is to put together Neuroscience and Machine Learning research and gather insight from the brain analyzed over a wide range of scales in order to develop novel machine learning architectures and algorithms. The project comprises Machine Learning, Cognitive and Physics groups and in addition three new groups will be formed: a low level neuroscience group, a Bio Data Science group and a more technical computer science group. We are looking in particular for candidates for a Group Leader of the Bio Data Science group. The main aims of the Bio Data Science group located at the Faculty of Physics is to perform extensive analyses of massive fMRI data (both in-house and publicly available), possibly also of other modalities like diffusive MRI or MEG/EEG. These analyses will be targeted at i) developing machine learning based diagnostic algorithms, ii) extracting insights from data on connectivity/dynamical properties of neuronal networks, iii) comparisons with artificial neural networks. In addition, the group is expected to closely cooperate with the Physics group of the project on testing physics motivated hypothesis and implementing machine learning architectures. Of course, the group is very much welcome to pursue also other goals related to the project "Bio-Inspired Artificial Neural Networks". The Leader of the Bio Data Science group should therefore have expertise in machine learning as well as experience/knowledge on dealing with the specific peculiarities of the fMRI datasets like preprocessing requirements/artifacts as well as general knowledge about other modalities. The position is for 3 years. Deadline for application is 23rd August. The call with details is on the website http://bionn.matinf.uj.edu.pl/. If you have any questions feel free to e-mail me (romuald.janik(a)gmail.com) Best regards, Romuald Janik

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Fully funded PhD position in neuroscience about cone photoreceptor signal transduction at Ecole Normale Superieure in Paris
by Juergen Reingruber July 31, 2019

July 31, 2019

Please forward this offer among potentially interested students. Thanks. Jürgen Reingruber Topic: Development of a Mathematical Model of Signal Transduction and Adaptation in Mammalian Cone Photoreceptors Field: Computational Neuroscience, Sensory Transduction Location: Institute of Biology École Normale Supérieure, Paris Supervision: Jürgen Reingruber, IBENS Collaboration: G. Fain and A. P. Sampath from UCLA Funding: 42 months by ANR, starting earliest in October 2019 Project description: We are looking for a PhD student for an interdisciplinary project between physics, mathematics computer science and neuroscience. Cone photoreceptors are the fundamental retinal neurons underlying our daylight vision. In spite of their importance for our visual perception, a comprehensive biophysical model showing how cones convert light into an electrical signal has not yet been developed. In close partnership with our experimental collaborators from UCLA, the student will analyze new (and worldwide unique) electrophysiological recordings to develop the first molecular model for the light response in cones. He will use asymptotic analysis and simulations to obtain a precise understanding of how cones respond and adapt during daylight. He will perform simulations with molecularly modified models to study how sensory transduction is altered in a diseased photoreceptor, which is important for understanding and treatment of photoreceptor dysfunctions. More details about the project can be found here: http://www.biologie.ens.fr/~reingrub/content/PhDDescription.pdf Lab and Environment: The lab where the research will be conducted is located in the Institute of Biology at École Normale Supérieure in the Latin Quarter in Paris. The ENS is a leading multidisciplinary research center and part of the PSL university. It is located in the heart of Paris right next Collège de France, Institute Curie, EPSCI (school of engineering), Sorbonne and other universities. The lab provides high speed internet, a powerful workstation (iMac) and access to Bioclust, the IBENS computing cluster. The lab comprises PhD students and postdocs with background in physics, applied mathematics and computer science. Candidate: The candidate should have a solid background in physics, applied mathematics, computer science or equivalent. Her/he should be highly motivated and interested in neuroscience and biology. Ideally the candidate should have skills and experience in modeling, analysis of dynamical systems, stochastic processes as well as programming and running simulations using either Matlab, C/C++, Comsol or Python. To apply, please send a CV and a motivation letter to Jürgen Reingruber (reingrub(a)ens.fr) -- Jürgen Reingruber, PhD Institute of Biology (IBENS) École Normale Supérieure 46 rue d'Ulm, 75005 Paris, France Tel: +33 (0)1 4432 3662 Fax: +33 (0)1 4432 8887

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[jobs] Postdoc on “Understanding of Visually Mediated Social Signs in Humans and Robots” at Istituto Italiano di Tecnologia (IIT)
by Giulio Sandini July 31, 2019

July 31, 2019

Robotics, Brain and Cognitive Sciences Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the use of the iCub humanoid robot to investigate the role of body-mediated (embodied) social signals in human-robot collaborative interaction and to identify the minimum subset of signals enabling mutual understanding in human-robot communication in realistic, application oriented, scenarios. The research activities will be carry out under the supervision of Dr. Francesco Rea and Prof. Giulio Sandini (https://www.iit.it/careers/openings/opening/969-postdoctoral-position-in-th… ) The activity will be carried out within a Joint Lab recently established between IIT and a major produrre in the automotive sector, dedicated scientific and technical activities, including training, in the field of signs-based social communication mediated by robots. The research for this Postdoctoral position will involve: a) the development of methods and relative software to generate robot behaviors for natural mutual understanding, b) the design and implementation of novel models of immediate perception of the human partner state, and c) the design of experiments, testing and analysis/validation in human-robot interaction experiments. The first goal of the research is modelling how the robot could adapt its perception and behaviour to the individual needs of the partner during an interaction, with potential implications for communicative technology. The second goal of the research is to exploit how these models can be transferred to novel robotic designs. -- Prof. Giulio Sandini Founding Director - Istituto Italiano di Tecnologia Center for Human Technologies Robotics, Brain and Cognitive Sciences Unit Via Enrico Melen 83 - Building B - 16152 GENOVA Phone: +39 010 2897 227 https://www.iit.it/giulio-sandini https://www.iit.it/rbcs

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Abstract submission extension to the next 15th Granada Seminar on Stochastic and Collective Effects in Neural Systems
by Prof. Dr. Joaquín J. Torres July 30, 2019

July 30, 2019

Dear Computational Neuroscience community This is a kind reminder that the deadline for abstract submission to the next "15th Granada Seminar on Computational and Statistical Physics" that will be held in Granada Spain, next September 17-20, 2019 in the Science Faculty of the University of Granada, Spain, has been extended to the next August 31th, 2019. The Granada Seminar is a topical conference whose pedagogical power is especially channelled towards young researchers. In fact, one interesting aspect of this meeting is the opportunity given to young researchers to present their results and to discuss their problems with leading specialists. The Granada Seminar is Organized by the "Institute Carlos I for Theoretical and Computational Physics, University of Granada, and it is Sponsored by: - Institute Carlos I, for theoretical and computational physics, University of Granada: http://ic1.ugr.es/home/ - European Physical Society This year edition the main topic of the conference is "Stochastic and Collective Effects in Neural Systems" including Biological aspects, Modeling, Dynamics, Networks, Function and Applications. The aim of this meeting is to bring together scientists interested in Neural Systems and their statistical and collective effects from real experiments, theoretical and computational models to applications. Confirmed Main Speakers: Roberto Barrio, Universidad de Zaragoza (Spain): Insect movement gaits: neuron model, CPG and patterns Ginestra Bianconi, Queen Mary University of London (UK) Jesús Cortés, Ikerbasque (Spain) Lucilla de Arcangelis, University of Campania "Luigi Vanvitelli" (Italy) Jose Maria Delgado, Universidad Pablo de Olavide (Spain): Learning as a functional state of the brain Andrea Gabrielli, Istituto dei Sistemi Complessi (Italy): Brain Network Topology Maps Schizophrenia Dysfunctional Substrates Andre Longtin, University of Ottawa (Canada): Detecting and Learning in Noisy Neurons: From Dendrites to Spontaneous Movements Joaquin Marro, Universidad de Granada (Spain):Is the Mind just an assembly of Phase Transitions? Jorge F. Mejías, University of Amsterdam (The Netherlands) Geza Odor MTA EK-MFA (Hungary) Cyriel Pennartz, University of Amsterdam (The Netherlands): Predictive representations and population coding in visual and multisensory systems Dietmar Plenz, NIH National Institute of Mental Health (USA) Ander Ramos, Tecnalia (Spain) Alex Roxin, CRM Barcelona (Spain):A network model of place-cell turnover in CA1 Mavi Sánchez-Vives, Institut d'investigacions Biomèdiques (Spain) Samir Suweis, Universita di Padova (Italy): Simple (but not too simple) models to investigate complex brain dynamics Yuhai Tu, IBM Thomas J. Watson Research Center (USA): Optimal coding strategies in the periferal olfactory systems: Compressed sensing for an array of nonlinear olfactory receptor neurons with and without spontaneous activity Pablo Varona, Universidad Autonoma de Madrid (Spain) Pau Vilimelis Aceituno Max Planck Institute for Mathematics in the Sciencies (Germany) Marius Yamakou Max Planck Institute for Mathematics in the Sciences (Germany) People interested to attend the conference and present their contributions please follow the link below for further information: http://ergodic.ugr.es/cp/index.php Contributions to the conference will be invited to submit an original manuscript for a forthcomming "Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing", in the Elsevier Journal "Neurocomputing" (Impact Factor: 4.072, being Q1 in the ISI JCR) -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas July 29, 2019

July 29, 2019

Space is still available for the NEURON course that will be held at a location on the campus of the Feinberg School of Medicine in downtown Chicago, as a satellite session to the 2019 meeting of the Society for Neuroscience. This course is for you if you're * a lab director trying to decide whether to add computational modeling to your research program * a grad student or postdoc who is just getting started in modeling * an established NEURON user who wants to find out about NEURON's latest features It starts with a practical introduction that reviews basic concepts, presents a workflow for building and using mechanistic models of cells and networks, and moves on to topics that include: * how to speed up simulations * how to use Python with NEURON (while still taking advantage of NEURON's GUI!) * how to model reaction-diffusion with the RxD class For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html --Ted -- This message was composed in plain text and may contain plain text formatting of source code, tables, and lists. Reading it in a client that ignores "excess" whitespace characters or line breaks may destroy that formatting, making this message unreadable. Outlook does that by default; learn how to disable the "Auto Remove Line Breaks" ""feature"" at support.microsoft.com

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Associate professor in theoretical neuroscience position at Donders Centre for Neuroscience, Radboud University (Nijmegen, The Netherlands)
by Paul Tiesinga July 29, 2019

July 29, 2019

Dear colleagues Were are recruiting a new faculty in the general area of theoretical (and/or computational) neuroscience at the associate professor level. The position is based in the Neuroinformatics department at the Faculty of Science at Radboud University (Nijmegen, the Netherlands) and embedded in the Donders Institute. We are especially encouraging female candidates to apply. Detailed information about the position, as well as instructions of how to apply are found at https://www.academictransfer.com/nl/284454/associate-professor-of-theoretic… . Informal enquiries can be directed to Paul Tiesinga (p.tiesinga(a)science.ru.nl, Head of department) or Bert Kappen (b.kappen(a)donders.ru.nl, Chair of the search committee). Should you know of excellent candidates that may not have been reached by this advertisement, please feel free to forward this email to them or to forward their contact information to us at the aforementioned email addresses. Best regards, Paul Tiesinga, on behalf of the search committee.

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