- Comp-neuro - lists.cnsorg.org

postdoc/PhD students needed

by Alexey Kuznetsov

*POSTDOCTORAL POSITION* *Indianapolis, Indiana, United States* A postdoctoral position and/or PhD student positions are available for a cutting-edge project on computational modeling of habit formation. The project takes place in the excellent collaborative environment of the Indiana Alcohol Research Center and studies the influence of alcohol on habits. The post-doc will develop a model of the cortico-striatal brain circuitry affected by alcohol. The post-doc will work with Prof. Kuznetsov (Mathematics Dept. IUPUI) and collaborate with experimentalists Prof. Atwood (IUSM) and Prof. Lapish (Psycology Dept. IUPUI). The position is available beginning December 2020 for one year. The continuation is contingent upon the availability of funds. *Qualifications*: Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience. Experience in modeling the basal ganglia is desirable. *How to Apply:* Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet(a)iupui.edu. IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Cindy Ritchie at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.edu and www.math.iupui.edu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN

Sept. 28, 2020

Postdoctoral position at BU (Nancy Kopell) and MIT (Emery Brown)

by McCarthy, Michelle M

Dear Comp-Neuro Community, The Kopell lab at Boston University has an open position (2 years with the possibility of renewal) for a postdoctoral associate to work on computational models concerning mechanisms of anesthesia, with experimental work to be done in the labs of Emery Brown, Earl Miller and others. The models are physiologically detailed (Hodgkin-Huxley based), linking anesthetic-mediated changes in physiology to changes in brain rhythms and their coordination both locally and across the brain; the models further link the brain rhythms to changes in consciousness. The work is relevant to sleep and brain disorders. Programming proficiency and modeling experience is necessary and some neuroscience training is desirable. Please send inquiries and applications to Xiaoshi Shi (xiaoshi(a)bu.edu<mailto:xiaoshi@bu.edu>) and nk(a)bu.edu<mailto:nk@bu.edu>. Nancy Kopell Department of Mathematics and Statistics Boston University, Boston MA 02215

Sept. 28, 2020

Two Cardiac Simulation/Computational Neuroscience postdoc computer modeling positions are available for development of a novel ICNS (intrinsic cardiac nervous system) simulation project.

by Salvador Dura

Our new NIH SPARC Initiative ICNS project aims to build and establish a new model of RAGP (right atrial ganglionic plexus) The work is being done as a collaboration between SUNY Downstate (Brooklyn, NY), and Jefferson University (Philadelphia, CT) under the auspices of a 2-year NIH SPARC Initiative grant. The two new postdocs will work closely together - one focusing primarily on cell-level modeling and the other primarily on network but with both expected to work in both areas. Candidates should have a strong background in computer programming, with demonstrated proficiency in Python. Strong interest, though not necessarily research experie nce, in neuroscience is a must. Some experience with NEURON and NetPyNE is desirable. Job Types: Full-time or Contract contact: bill.lytton(a)downstate.edu<mailto:bill.lytton@downstate.edu> -- William W. Lytton, MD SUNY Distinguished Professor Downstate Medical Center, Brooklyn, NY bill.lytton(a)downstate.edu; http://neurosimlab.com ________________________________________________________________

Sept. 28, 2020

Postdoc with Sonia Bishop in Computational Psychiatry at UC Berkeley

by Peter Dayan

Postdoc in Computational Psychiatry at UC Berkeley The UC Berkeley Helen Wills Neuroscience Institute is looking to hire a postdoctoral researcher to work on an exciting, newly funded, five-year NIH project. This project brings together researchers with expertise in computational psychiatry, computational and cognitive neuroscience and clinical science from the Psychology Department and Helen Wills Neuroscience Institute at UC Berkeley and from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. Faculty involved include Professor Sonia Bishop (Psychology & HWNI, UC Berkeley), Professor Anne Collins (Psychology & HWNI, UC Berkeley), Professor Sheri Johnson (Psychology, UC Berkeley) and Professor Peter Dayan (MPI, Tübingen, Germany). This provides an exciting opportunity for a postdoctoral candidate to work at the cutting edge of computational psychiatry research and to take on a pivotal role in this team. The aim of the project is to use a computational approach to delineate component processes contributing to probabilistic decision-making across positive and negative valence domains, to investigate their neural substrate (using fMRI), and to relate abnormalities in these processes and alterations in associated neural function to dimensional measures of psychopathology. In addition, we aim to develop tasks and models that can be shared with the broader computational psychiatry and RDoC community. For pertinent theoretical and empirical work by team members please see: http://bishoplab.berkeley.edu/bishop_2018.pdf http://bishoplab.berkeley.edu/Browning_et_al_NatNeuroscience_2015.pdf https://pubmed.ncbi.nlm.nih.gov/32710256/ The successful applicant will have the opportunity to take an early lead on studies conducted as part of this 5-year project and to contribute intellectually to their development and direction. The postdoc will be based within the Computational Psychiatry and Affective Cognitive Neuroscience laboratory at UC Berkeley (please note, given Covid, there may be an opportunity for remote working in year 1 - feel free to inquire). The CPACN lab is located within the new Berkeley Way West (BWW) building which houses the Department of Psychology and multiple cognitive neuroscience, computational and clinical research groups, providing a rich and stimulating scientific community. BWW is within a 2 minute walk of the H. Wheeler Brain Imaging Center, located within the Li Ka Shing Center for Biomedical and Health Sciences which is home to two 3T MRI scanners and one 7T scanner. There will also be the opportunity for annual collaborative trips to the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. In addition to regular interactions with, and training by, members of the project team, the successful applicant will be able to take advantage of the many opportunities provided by the broader scientific community at UC Berkeley, including participation in weekly seminars and advanced computational modelling and fMRI courses provided by the HWNI and Psychology Department. There are also many opportunities for more informal interactions with members of the local scientific community. We seek postdoctoral applicants with established computational modelling skills and a PhD in cognitive science, cognitive neuroscience or a related discipline. Experience with fMRI is preferred but not required. Strong programming skills (ideally in python or matlab) are required. Candidates should have a track record of productivity and show potential for success in working in a team environment. Good knowledge of the computational psychiatry, decision-making, or computational neuroscience literatures is desirable. Qualified postdoctoral applicants should submit a current CV, a personal statement describing their experience and interests, and contact information for three references to sbishop(a)berkeley.edu (informal enquiries also welcome). At UC Berkeley, postdoctoral salaries start at $50,760/year depending on prior post-doctoral experience, and the University offers medical insurance and benefits. The position is available at this time but a delayed start is also negotiable. An initial appointment for a one-year period will be made with potential for extension for a further two years (or longer) depending on successful performance. UC Berkeley is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity.

Sept. 28, 2020

Join us at the NMC 3.0 conference, Oct 26-30, submissions open now

by Brad Wyble

Dear Neuroscience Community, We are excited to announce the launch of Neuromatch Conference (Oct 26-30). The Neuromatch team has been working hard to bring a virtual conference that accepts submissions from all areas of neuroscience, and where all relevant submissions are accepted as a talk! Our goal with this conference is to provide a place where neuroscientists from all over the world get to share research ideas and come together as a community! We’re working hard to make it the most inclusive neuroscience meeting that has ever existed. The deadline for submissions is October 2, 2020, so we encourage you to get your abstracts ready now! There is a $25 registration fee but this is waivable (no validation required) for anyone who cannot pay to attend for any reason. Please view our website for more information regarding submission and registration: neuromatch.io <http://neuromatch.io/>j The conference will be organized by themes, tailored to fit your area of research best. These themes will be: Theme A: Developmental Disorders and Injury Theme B: Excitability, Synapses, and Glia Theme C: Sensory & Motor Systems, and Physiology & Behavior Theme D: Cognition, Motivation and Emotion Theme E: Computation and Techniques Theme F: History, Education, and Society We developed algorithms that will allow us to place you in a virtual room with other scientists and attendees who are interested in similar topics, therefore ensuring an audience that is excited about your talk. The talks will have two formats, and you will be able to choose which one you prefer - Traditional Talk: 12-minute talk plus 3-minute Q&A - Interactive Talk: 5-minute talk plus 10-minute Q&A (this talk is focused on discussion) We hope that you will attend the Neuromatch Conference and consider submitting your abstract for presentation! We would love to hear from you and see everyone’s latest results.. Best wishes, The Neuromatch Team Please follow our social media and visit our website for regular updates @Neuromatch <https://twitter.com/neuromatch?lang=en> @Neuromatch <https://www.instagram.com/neuromatch/> neuromatch.io -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com

Sept. 27, 2020

2 postdoc positions in computational neuroscience

by Alain Destexhe

Dear Colleagues, Please pass on these two positions that we have for postdocs in computational neuroscience at the Paris-Saclay Institute of Neuroscience - many thanks. best, Alain ---------------- 2 POSTDOC POSITIONS AVAILABLE Two postdoc positions are available for computational and theoretical studies in the framework of the Human Brain Project. The theoretical work associated to these two postdoctoral positions consists of (1) investigating models and mathematical techniques to model decision making phenomena (in collaboration with Rubem Moreno-Bote in Barcelona), and (2) investigate models of sensory perception, up to consciousness (in collaboration with Fanis Panagiotaropoulos and Stan Dehaene at NeuroSpin). Both postdocs will be supervised by A. Desyexhe and will work in tight collaboration with the European Institute for Theoretical Neuroscience (EITN). DETAILS OF THE FIRST POSTDOC POSITION: We are seeking for a postdoc position in the framework of a project called "COREDEM", and which was recently integrated in the Human Brain Project European flaghsip. COREDEM aims at conceiving decision making models based on electrophysiological recordings in human and monkey, and ultimately test these models on neuromorphic and neuro-robotic applications. The project comprises a significant computational neuroscience component consisting mainly of two laboratories, Alain Destexhe at the CNRS and Paris-Saclay University, and Ruben Moreno-Bote at the UPF in Barcelona. We will consider spiking models that will compare parallel and sequential strategies to decision making, in a way constrained by unit recordings in monkey and human. Mean-field models will be derived from the spiking models, and such mean-field models will be incorporated in large-scale models of interacting brain areas. Both spiking and mean-field models will be integrated in neuromorphic SpiNNaker computers to be simulated in real time, to open the possibility of being used in real-time applications such as neuro-robotics. The postdoc can begin as early as January 2021, and latest on March 2021, and will be for a 2-year period. We expect that candidates have prior experience either in computational neuroscience, or in decision making. The working environment is the Paris-Saclay Institute of Neuroscience (NeuroPSI) of the CNRS, which comprises 22 research labs in experimental and computational neuroscience, mixed in the same environment. The postdoc will thus interact on a daily basis with experimentalists and theoreticians, and regular visits to the experimental labs of COREDEM (Stefano Ferraina from Rome and Tom Theys from Leuven) are planned. The postdoc will also interact strongly with the researchers and staff of Destexhe's lab at NeuroPSI, and will actively participate to the activities of the EITN. DETAILS OF THE SECOND POSTDOC POSITION: We are seeking for a postdoc position in the framework of a project called "BRICON", and which was recently integrated in the Human Brain Project European flaghsip. BRICON aims at investigating mechanisms of sensory perception and consciousness based on a strong interaction between computational models and experiments on human and monkey. The model will consider how the state of the brain interacts with external input and allows neural activity related to external input to propagate (or not) between brain areas. We will constrain the model based on unit recordings obtained in awake monkey collected by the experimental teams (Fanis Panagiotaropoulos and Stanislas Dehaene, NeuroSpin center). Models will start with conventional spiking neural networks, which then will be converted into population models using mean-field techniques. These mean-field model will then form the basis of whole-brain models simulated using The Virtual Brain platform of the HBP. The postdoc can begin as early as January 2021, and latet on June 2021, and will be for a 20 month period. We expect that candidates have prior experience either in computational neuroscience, or in sensory perception. The working environment is the Paris-Saclay Institute of Neuroscience (NeuroPSI) of the CNRS, which comprises 22 research labs in experimental and computational neuroscience, mixed in the same environment. The postdoc will thus interact on a daily basis with experimentalists and theoreticians, and regular visits to the experimental labs of BRICON (Panagiotaropoulos and Dehaene), who are working next-door in the NeuroSpin center. The postdoc will also interact strongly with the researchers and staff of Destexhe's lab at NeuroPSI, and will actively participate to the activities of the EITN. Interested candidates should send a CV and two recommendation letters at Alain Destexhe or email for more details. alain.destexhe (at) cnrs.fr Alain Destexhe Department of Integrative and Computational Neuroscience (ICN), Paris-Saclay Institute of Neuroscience (NeuroPSI), CNRS, Bat 33, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France.

Sept. 26, 2020

SMILES virtual workshop @ICDL 2020: extended DEADLINE

by Xavier Hinaut

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place virtually at the ICDL 2020, on 2nd & 3rd November 2020. * Call for abstracts and papers: - *** Deadline: extended to 12th of October 2020 *** - paper abstracts: 2 pages - long papers: 4-6 pages - Submissions: smiles.conf(a)gmail.com <mailto:smiles.conf@gmail.com> - Papers format: free format, but similar shape to ICDL conference https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd… <https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd…> - Workshop dates: 2nd & 3rd November 2020 afternoons (1 to 6 pm CET) * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Sensori-motor learning, - Symbol grounding and symbol emergence, - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - workshop website : https://sites.google.com/view/smiles-workshop/ <https://sites.google.com/view/smiles-workshop/> - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clement Moulin-Frier, Silvia Pagliarini, Joni Zhong, Loo CHU KIONG, Michael Spranger, Tadahiro Taniguchi - ICDL conference website: https://cdstc.gitlab.io/icdl-2020/ <https://cdstc.gitlab.io/icdl-2020/> Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com

Sept. 25, 2020

Postdoctoral position data/knowledge management for open neuroscience

by Andrew Davison

Dear colleagues, A postdoctoral position in neuroscience data curation is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, led by Dr Andrew Davison. The Human Brain Project is developing an open data repository for neuroscience, following the FAIR principles of Findability, Accessibility, Interoperability, and Reusability. The role of our group is to strongly focus on Reusability, by ensuring that all datasets have high quality, in-depth metadata so that they can be used in model building, model validation, and further analysis, and by providing tools to facilitate data re-use. The position is available immediately, and is funded until 31st March 2023, with future extensions possible. Salary depends on experience, and will be on the standard CNRS research scale. Application is through the CNRS jobs portal: https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-006/Default.aspx?lang=EN Informal inquiries may be addressed to Andrew Davison (andrew.davison(a)cnrs.fr) Activities: The successful candidate will be responsible for developing and improving metadata schemas, protocols, and curation workflows for neural activity data (including patch clamp recordings, fluorescence imaging, multi-electrode array recordings and fMRI), and for coordinating the in-depth curation process. The project will involve intensive collaboration with other researchers, curators and software developers within the research group, within the Human Brain Project, and in the wider neuroscience/neuroinformatics communities. Qualifications: Applicants should have a PhD in either neuroscience, computer science, library/information science, or a closely related discipline, or be nearing completion of PhD studies in one of these domains. Experience with experimental methods in neuroscience, semantic web technologies and/or information management approaches will be of particular benefit. Knowledge of computer programming, in particular using the Python language, would also be an advantage. Knowledge of French would be helpful but is not required, as English is the working language of the project. Context: The Paris-Saclay Institute of Neuroscience (https://neuropsi.cnrs.fr/en/institute-home/) is part of the CNRS and Université Paris-Saclay, situated in Gif-sur-Yvette in the Paris region. The Davison team (https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/) develops tools and methods for data sharing, modelling and simulation in neuroscience and brain-inspired computing. This position is funded by the Human Brain Project, an EU Flagship research project, within which more than 100 universities and research institutions collaborate to build a digital research infrastructure for neuroscience, brain-inspired computing and medicine.

Sept. 25, 2020

International Symposium on Artificial Intelligence and Brain Science 2020 Online

by Kenji Doya

We are going to hold an online symposium that brings together researchers in the forefront of AI and neuroscience. All talks will be made accessible as pre-recorded movies and we will have two-hour live discussion sessions on October 10-12, 2020. Registration is free and open till September 30. Please register from the web site below. ******** International Symposium on Artificial Intelligence and Brain Science http://www.brain-ai.jp/symposium2020/ Time below is in UTC (i.e., 10pm-0am Japan, 2pm-4pm UK, 9am-11am EDT, 6am-8am PDT) <Saturday, October 10th> 13:00 Get connected 13:15 Greetings: Kenji Doya (OIST) 13:30 Discussion on Keynote: Josh Tenenbaum (MIT) 14:00 Discussion on Session 1: Deep Learning and Reinforcement Learning Chair: Jun Morimoto (ATR) Discussant: Shunichi Amari (RIKEN) Speakers: Yann LeCun (NYU, Facebook), Yutaka Matsuo (U Tokyo), Doina Precup (McGill U) David Silver (DeepMind), Masashi Sugiyama (RIKEN AIP/U Tokyo IRCN) <Sunday, October 11th> 13:00 Discussion on Session 2: World Model Learning and Inference Chair: Hiroaki Gomi (NTT) Discussant: Mitsuo Kawato (ATR) Speakers: Ila Fiete (MIT), Karl Friston (UCL), Yukie Nagai (U Tokyo IRCN) Maneesh Sahani (Gatsby Unit), Tadahiro Taniguchi (Ritsumeikan U) 14:00 Discussion on Session 3: Metacognition and Metalearning Chair: Masayuki Matsumoto (Tsukuba U) Discussant: Keiji Tanaka (RIKEN) Speakers: Matthew Botvinick (DeepMind), Ryota Kanai (ARAYA), Angela Langdon (Princeton U) Hiroyuki Nakahara (RIKEN CBS), Xiao-Jing Wang (NYU) <Monday, October 12th> 13:00 Discussion on Session 4: AI for Neuroscience and Neuromorphic Technologies Chair: Takatoshi Hikida (Osaka U) Discussant: Kunihiko Fukushima (FLSI) Speakers: Jim DiCarlo (MIT), Yukiyaku Kamitani (Kyoto U), Rosalyn Moran (King’s College London) Terry Sejnowski (Salk Institute), Hidehiko Takahashi (Tokyo MDU) 14:00 Discussion on Session 5: Social Impact and Neuro-AI Ethics Chair: Masamichi Sakagami (Tamagawa U) Speakers: Anne Churchland (UCLA), Kenji Doya (OIST), Arisa Ema (U Tokyo IFI) Hiroaki Kitano (SONY CSL), Stuart Russell (UC Berkeley) Sponsor: KAKENHI Project on Artificial Intelligence and Brain Science (http://www.brain-ai.jp) Co-sponsors: RIKEN AIP (https://aip.riken.jp/?lang=en) U Tokyo IFI (https://ifi.u-tokyo.ac.jp/en/) U Tokyo IRCN (https://ircn.jp/en/) Contact: ncus(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Sept. 24, 2020

You are invited to DSP online course

by Maryam

You are invited to “DIGITAL SIGNAL PROCESSING Online Course” Dear researcher; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-sessions “DIGITAL SIGNAL PROCESSING Online Course” that is going to start on October 18,2020. During this course you will learn: • Discrete-time signals and systems • Z-Transform • Transform of continuous-time signals • Transform analysis of linear time invariant systems • Structures for discrete-time systems • Filter design • The discrete Fourier Transform • Computation of the discrete Fourier transform Dr. Luu Gia Thien is an experienced lecturer at Ho Chi Minh City with a Doctor of Philosophy (PhD) focused in Digital signal processing from University of Orléans, France. Registration is open until October 5th. Special discount is considered for students. You won’t want to miss this! Don’t hesitate and register from the link below: https://sciencebeam.com/luu-gia-thien-course/ If you need more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop(a)sciencebeam.com www.sciencebeam.com

Sept. 24, 2020