- Comp-neuro - lists.cnsorg.org

Ph.D. program (with details) in Computational/Experimental Neuroscience in Tuebingen, Germany
by Zhaoping Li Oct. 9, 2020

Oct. 9, 2020

(I apologize for a previous message sent without details): Join our interdisciplinary PhD program and experience a vibrant and international training environment in Neuroscience! see https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details. Application deadline 30th Nov. 2020 More details International Max Planck Research School The Mechanisms of Mental Function and Dysfunction The ‘International Max Planck Research School (IMPRS) for The Mechanisms of Mental Function and Dysfunction’ (MMFD) provides state-of-the-art training and research under the guidance of leading neuroscientists, psychologists, psychiatrists and computational scientists in Tübingen. Excellent graduates with a Bachelor´s degree will enjoy an unparalleled opportunity to start their research career in neuroscience. What´s it all about? The IMPRS is a joint project of the Max Planck Institute for Biological Cybernetics <https://www.kyb.tuebingen.mpg.de/2549/en> and the University of Tübingen <https://uni-tuebingen.de/en/>. It is embedded in the Graduate Training Centre of Neuroscience (GTC) <https://www.neuroschool-tuebingen.de> and thus benefits from more than 20 years of successful cooperation in the training of young neuroscientists. The IMPRS-MMFD offers a combined MSc/PhD program to outstanding BSc graduates. IMPRS students will not only receive an admission to one of the GTC´s regular MSc programs, but additionally a commitment of the IMPRS faculty to offer them a PhD position after their successful MSc graduation. The direct access to the IMPRS doctoral program for those students who are already holding a MSc degree and have already been admitted by the Graduate Training Centre is also possible. Prerequisite is the primarily supervision by one of the IMPRS faculty members (see: Application). Teaching and research in the IMPRS and at the GTC of Neuroscience are conducted entirely in English. The IMPRS MMFD was launched in January 2020 and is one of about sixty International Max Planck Research Schools <https://www.mpg.de/en/imprs> run by the Max Planck Society <https://www.mpg.de/en> in partnership with various universities and research institutions. IMPRS programs provide an extraordinary framework and working environment for graduate students, and they provide unique opportunities for interdisciplinary research projects.

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postdoc position in dynamical models of learning in working memory (Kilpatrick, CU Boulder)
by Zachary Kilpatrick Oct. 8, 2020

Oct. 8, 2020

We are seeking a postdoctoral fellow to work on a BRAIN/NIMH/NIBIB funded project developing and validating neural circuit models of experience-driven computations in working memory. Our group is in the Department of Applied Mathematics at the University of Colorado Boulder, and we have affiliations with the Institute of Cognitive Science and School of Medicine. The start date would likely be in Spring or Summer 2021. The position is fully funded till September 2023, with a possible extension contingent on funding. Interested applicants should contact Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>), along with a CV and list of 3 or more references. The aim of this project is to understand how task-relevant experience is encoded in neuronal circuits through plasticity-driven changes to network architecture (building off ideas in Kilpatrick (2018) Sci Rep <https://www.nature.com/articles/s41598-018-25958-9>). Our mechanistic neural circuit models will be validated using data from humans (psychophysical response) and non-human primates (response + large-scale neural recordings) from the Gold (Penn), Buschman (Princeton), and Bays (Cambridge) labs. Candidates must have a strong background developing, simulating, and mathematically analyzing dynamical/mechanistic neural network models. We will build and analyze neural field models of large-scale activity using a combination of methods from stochastic processes, asymptotics, Bayesian inference, and numerical PDEs. Experience working with psychophysics and/or neural recording data is a plus but not required. Models will be fit using Bayesian parameter estimation and model comparison. Within our group, you could also work on a side project or two in decision-making, stochastic dynamics, social networks, and/or social foraging. Outside of work, the great outdoors in and around Boulder can’t be beat with over 40,000 acres of public open space, 1hr to skiing at Eldora Mtn Resort, 1hr to Rocky Mtn Natl Park, and tons of hiking and climbing. Boulder is consistently rated one of the most bike-able cities in the nation. We also have a very active local food scene with multiple restaurants receiving James Beard nominations this year. Non-stop international flights to Germany, Italy, France, Switzerland, the UK, Japan, Mexico, and Canada are a 45 minute bus ride away at Denver Airport. ---------- Zachary P Kilpatrick, PhD (he/him/his) Associate Professor University of Colorado Boulder Department of Applied Mathematics http://www.colorado.edu/amath/zpkilpat <http://www.colorado.edu/amath/zpkilpat>

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Postdoctoral position in Computational Neuroscience, Italian Institute of Technology
by Stefano Panzeri Oct. 8, 2020

Oct. 8, 2020

A postdoctoral position in computational neuroscience is available at Istituto Italiano di Tecnologia in Italy to work with Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) The successful candidate will conduct research in the laboratory of Neural Computation of Prof. Panzeri and in collaboration with Prof. Christopher Harvey at Harvard Medical School. We investigate, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The Neural Computation laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious research environment which is well funded (including several grants from the NIH Brain Initiative). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For recent publications relevant to this project, see: Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. G. Pica, et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NIPS 2017)* Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Chettih and Harvey (2019) Single-neuron perturbations reveal feature-specific competition in V1. *Nature* 567, 334 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. The deadline for applications is *Oct. 27th, 2020*. Applications will be examined as soon as they are received and until the position is filled. Interested applicants are strongly encouraged to email Stefano Panzeri ( stefano.panzeri(a)iit.it) as soon as possible, to informally inform him of their interest for the position and initiate a discussion about research projects. Formal applications should be submitted, before the deadline, through the following web site: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=20000039 Thanks Stefano Panzeri

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Two research fellow positions in Neuromorphic Olfaction
by Michael Schmuker Oct. 6, 2020

Oct. 6, 2020

We have two Research Fellow positions available, funded through the NSF/MRC NeuroNex grant “Odor to Action”, an international consortium of 16 world-leading research groups from the US, Canada, and the UK. The consortium will apply their joint expertise in computational and experimental neuroscience, behavioural studies, fluid dynamics, and fragrance chemistry to unlock how brains use natural stimuli to generate adaptive natural behaviours. Apply to join an interdisciplinary team of computational neuroscientists, AI researchers and computer scientists to investigate the neuro-computational principles of the sense of smell and translate them into approaches for machine and robot olfaction. Our team will investigate real-time machine olfaction using biologically realistic spiking networks, on neuromorphic hardware, embodied in robots, performing olfactory navigation in real time. We will also use machine learning to analyse experimental data provided by collaborators and to gain a deeper insight into fragrance space. For more information and to apply, please head to https://www.jobs.herts.ac.uk <https://www.jobs.herts.ac.uk/> , search for job vacancy 029755. Informal inquiries via email are welcome! — Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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Post-doc in Computational Neuroscience, University of Bologna, Italy
by Silvia Ferrara Oct. 6, 2020

Oct. 6, 2020

The ERC Project INSCRIBE Invention of Scripts and their Beginnings<https://site.unibo.it/inscribe/en>, based at the University of Bologna, Italy, seeks candidates for a postdoctoral position in interdisciplinary research with expertise in computational neuroscience. The selected candidate will straddle the borders of neuroscience, cognition and the evolution of graphic codes, in order to apply quantitative methods to large databases with the goal of establishing commonalities worldwide in the evolution of symbols from a broadly cognitive, and more specifically, motor-driven and visual perspective. The ideal candidate will have earned a PhD in either neuroscience or neural computational sciences, with extensive skills in statistical methods. His/her research results will be published in general audience, as well as specialized open-access, peer-reviewed journals, and will be presented at scientific conferences. The position is renewable on a yearly basis, up to three consecutive years and can be held remotely. Deadline: 28 October 2020. For more information on how to apply: https://site.unibo.it/inscribe/en/jobs or contact: s.ferrara(a)unibo.it. Thank you Silvia Ferrara Full Professor Department of Classical Philology University of Bologna Via Zamboni 32, 40126 Bologna, Italy https://www.unibo.it/sitoweb/s.ferrara ERC Consolidator 2017 Principal Investigator INSCRIBE Invention of Scripts and their Beginnings<https://site.unibo.it/inscribe/en> Resident Fellow, Institute of Advanced Studies (ISA) University of Bologna Senior Research Fellow, Sapienza School for Advanced Studies (SSAS) Sapienza, University of Rome

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Call For Abstracts - Workshop on Affective Shared Perception (WASP)
by Pablo Vinicius Alves De Barros Oct. 5, 2020

Oct. 5, 2020

Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: https://forms.office.com/Pages/ResponsePage.aspx?id=XkYvv3Ufb0u-Kb9TJzvB2u5… III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-percepti…) The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy VII. Acknowledgment The workshop is organized in the framework of the Starting Grant wHiSPER (G.A. No 804388) funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme. ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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GEM2021 - Registration open
by Vinita Samarasinghe Oct. 5, 2020

Oct. 5, 2020

Registration has opened! *GEM 2021**- Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 <https://for2812.rub.de/gem2021> 16-18 February 2021 The workshop will take place in virtual space and is free of charge. The main workshop will be preceded by a PhD symposium, for which submissions are now being accepted via EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021> Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - University of Syracuse, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Call for papers The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de <https://for2812.rub.de> is proud to announce a call for papers for its first workshop on generative episodic memory. We invite submissions for talks and posters https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Paper submission deadlines [GMT +1 (CET)]: Abstract submission - 15.11.2020 Notification of acceptance - 19.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe(a)ini.rub.de

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Postdoc position in learning and decision making in Chicago
by Thorsten Kahnt Oct. 4, 2020

Oct. 4, 2020

A postdoc position is available in the Kahnt Lab at Northwestern University. The work will involve neuroimaging (fMRI), neurostimulation (TMS), and computational modeling to study learning and decision making in humans. Research in the Kahnt Lab (www.Kahntlab.org) focuses on the neural systems supporting learning, decision making, and olfaction in humans. Experimental techniques include behavioral testing, fMRI, diffusion MRI, olfactory psychophysics, and TMS. We utilize advanced data analysis techniques and computational modeling. The ideal candidate will have relevant research experience and will bring a unique perspective and background to the lab. Start date is flexible, but a start in 2020 is preferred. Please send your application package (cover letter, CV, and 1-3 selected publications) as a single PDF to thorsten.kahnt(a)northwestern.edu. Review of applications will begin immediately and will continue until the position is filled. For more information see: www.kahntlab.org/s/postdoc_job_posting_2020-5e32.pdf Thorsten Kahnt, PhD Assistant Professor Department of Neurology Northwestern University Feinberg School of Medicine 320 E Superior St, Searle 11-463 Chicago, IL 60611 thorsten.kahnt(a)northwestern.edu kahntlab.org twitter.com/kahntlab

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NEURAL COMPUTATION - February 1, 2020
by Terry Sejnowski Oct. 2, 2020

Oct. 2, 2020

Neural Computation - Volume 32, Number 2 - February 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/2 http://cognet.mit.edu/content/neural-computation ----- Article Face Representations via Tensorfaces of Various Complexities Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka Letters Transition Scale-spaces: A Computational Theory for the Discretized Entorhinal Cortex Nicolai Waniek From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and Wojciech Mateusz Tarnowskic Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity Jure Demsar, Rob Forsyth Scaled Coupled Norms and Coupled Higher Order Tensor Completion Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka Improving Generalization via Attribute Selection on Out-of-the-box Data Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

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PhD/post-doc opening on Neuro-AI in Montreal, Canada
by Muller Eilif Oct. 1, 2020

Oct. 1, 2020

I'm happy to announce the Architectures of Biological Learning Lab is Hiring! I'm looking for exceptional candidates at the MSc, PhD or post-doc level to work on "Dendritic Algorithms for Perceptual Learning". The project will employ simulations of pyramidal neurons and plasticity, and deep convolutional networks to study representation learning in the neocortex. Prior experience with Python, NEURON, and/or PyTorch would be an asset. This project will be undertaken in collaboration with Profs. Yoshua Bengio (UdeM, Mila), Roberto Araya (UdeM, CRCHUSJ), and Blake Richards (McGill, Mila). Montreal, Canada is a thriving international hub for Artificial Intelligence and Neuroscience research, with a booming AI industry. It's where Donald O. Hebb originally formulated Hebbian Learning. It's also a vibrant, funky, cosmopolitan yet affordable city of over 4 million, referred to as "Canada's Cultural Capital" by Monocle magazine. In 2017, Montreal was ranked the 12th-most liveable city in the world by the Economist Intelligence Unit in its annual Global Liveability Ranking, and the best city in the world to be a university student in the QS World University Rankings. For more details and instructions how to apply, please visit: https://bit.ly/3l1PGFH --- Eilif B. Muller, Ph.D.<https://research.chusj.org/en/Axes-de-recherche/Bio?id=a7716033-22af-49a0-8…> IVADO Assistant Research Professor Department of Neurosciences, Faculty of Medicine, University of Montreal Associate Faculty Member - Quebec Artificial Intelligence Institute (Mila) Centre de recherche du CHU Sainte-Justine 3175 Côte Sainte-Catherine, Montréal QC H3T 1C5, Canada

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POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE IN PARIS AND BASEL
by Rava A. da Silveira Sept. 30, 2020

Sept. 30, 2020

*Several postdoctoral openings in the lab of Rava Azeredo da Silveira **(Paris & Basel)* The lab of Rava Azeredo da Silveira invites applications for *Postdoctoral Researcher* positions at ENS, Paris, and IOB, an associated institute of the University of Basel. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). One of the postdoc positions to be filled in Basel will be part of a collaborative framework with Michael Woodford (Columbia University) and will involve projects relating the study of decision making to models of perception and memory. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 30 October 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ including a list of publications; 4. any relevant publications that you wish to showcase. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-POSTDOC” in the subject header, otherwise the application will *not* be considered. *** *ENS,* together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Sorbonne Université, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. *IOB* is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. IOB is an equal-opportunity employer with family-friendly work policies. *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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COSYNE 2021: Meeting announcement and call for abstracts
by Tomas Hromadka Sept. 29, 2020

Sept. 29, 2020

==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 27 February - 01 March 2021 www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne 2021 will take place online, February 27 - March 1, 2021. The goal of this year’s meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks and an interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. The deadline for Abstract submission will be November 12, 2020. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. IMPORTANT DATES Abstract submission opens: 11 October 2020 Abstract submission deadline: 12 November 2020 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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(on behalf of Loren Frank) faculty position @ UCSF
by Peter Dayan Sept. 29, 2020

Sept. 29, 2020

The Department of Physiology at UCSF is seeking a visionary neuroscientist to join our vibrant and collaborative discovery research community. This open-rank, tenure-track faculty position is part of a multi-year UCSF institutional initiative that began in 2018 to foster equity and inclusion in biomedical research and to promote the success of our diverse student population. Since launching this effort, UCSF has tripled the number of underrepresented faculty in our basic sciences departments and this critical mass will continue to grow. Candidates are expected to hold a Ph.D. and/or M.D., to have demonstrated significant research accomplishment and potential, and to be committed to the mentorship of students, with a particular emphasis on candidates with demonstrated success mentoring students from groups that are historically underrepresented in biomedical science. We encourage outstanding candidates who are early in their postdoctoral research training to apply, even if their main findings are not yet published. The successful candidate will be expected to establish a dynamic and interactive research program focused in the field of integrative neuroscience, which could include molecular, genetic, cellular, systems, behavioral, computational, and engineering approaches. The candidate would become a member of the Kavli Institute for Fundamental Neuroscience, the Center for Integrative Neuroscience, and the Weill Institute for Neuroscience at UCSF. The candidate would be expected to join the UCSF Neuroscience Graduate Program and, if so desired, one or more of our other top-ranked interdisciplinary graduate programs (see https://graduate.ucsf.edu/list-programs) The candidate, like all faculty at UCSF, will also be expected to contribute to graduate teaching, to be a leader in inclusive mentoring practices, and to participate in activities that promote equity and inclusion at our institution and in the broader scientific community. Service and teaching expectations are comparable to those of any other UCSF tenure-track faculty position. Faculty appointment will be made at a professorial rank commensurate with current academic standing. UCSF offers competitive salaries, research set-up funds, and recruitment allowances, and has numerous opportunities for faculty development and further training in mentorship. Applications must be submitted online and include the following documents in a single PDF: (1) cover letter briefly describing how the candidate fits the position; (2) curriculum vitae; (3) 1-page summary of research accomplishments demonstrating the candidate’s scientific leadership through their contribution to their project(s) and describing the potential impact of their work on the field of neuroscience; (4) 2-page description of future research plans that includes both high risk / high reward projects and an NIH-fundable program; and 5) a statement of personal experiences with, and contributions to, issues related to social and racial justice, equity, diversity, and inclusion, with particular attention to demonstrated success with formal and informal mentoring of individuals from historically underrepresented groups. We encourage candidates to describe specific mentoring strategies to support the success of all trainees in their research group. Copies of major publications that demonstrate the candidate’s ability to carry out creative and impactful work should be included. Applicants should request three to five letters of recommendation describing how the candidate meets the criteria in this job description. We encourage recommenders to provide explicit examples to illustrate their statements. We expect candidates to provide a letter from their postdoctoral and graduate advisors but will consider candidates who can provide justifications when these will be lacking. Review will begin on December 1, 2020 and continue until the position is filled. Please direct inquiries about the position and suggestions of potential candidates to Dr. Loren Frank (loren(a)phy.ucsf.edu) As an institution that values diversity, UC San Francisco especially encourages application from historically excluded groups, including but not limited to racially underrepresented individuals, women, and individuals with a commitment to mentoring historically excluded groups in the sciences. UC San Francisco seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. Please apply online at https://aprecruit.ucsf.edu/JPF03083.

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postdoc/PhD students needed
by Alexey Kuznetsov Sept. 28, 2020

Sept. 28, 2020

*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

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Postdoctoral position at BU (Nancy Kopell) and MIT (Emery Brown)
by McCarthy, Michelle M Sept. 28, 2020

Sept. 28, 2020

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

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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 Sept. 28, 2020

Sept. 28, 2020

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 ________________________________________________________________

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postdocs with Peter Dayan in Tübingen
by Peter Dayan Sept. 28, 2020

Sept. 28, 2020

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.

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Join us at the NMC 3.0 conference, Oct 26-30, submissions open now
by Brad Wyble Sept. 27, 2020

Sept. 27, 2020

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

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2 postdoc positions in computational neuroscience
by Alain Destexhe Sept. 26, 2020

Sept. 26, 2020

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.

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Postdoctoral position data/knowledge management for open neuroscience
by Andrew Davison Sept. 25, 2020

Sept. 25, 2020

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.

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You are invited to DSP online course
by Maryam Sept. 24, 2020

Sept. 24, 2020

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

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Software engineer position in human brain project
by Eloy Retamino Sept. 23, 2020

Sept. 23, 2020

Position: Neuro-robotics Software Engineer Location: Granada, Spain At the Applied Computational Neuroscience (ACN) Group [1], headed by Prof. Eduardo Ros and part of the Computer Architecture and Technology Department at University of Granada, we are engaged in developing robot controllers from models and techniques drawn from neuroscience. Concretely we focus on the exploration of models of the cerebellum and their application in robot control. We are looking for a software engineer to contribute to our tasks in the Human Brain Project (HBP) [2]. HBP is an ambitious, 10 years long research project funded by the European Commision and targeting the exploration of human cognition and its relation to brain structures and activity. The project is developing a series of simulation platforms to facilitate different levels of research in neuroscience. At UGR we participate in the design and development of the Neuro-Robotics Platform (NRP) [3], a research infrastructure which enables embodied simulated experiments in neuroscience in which a spiking neural simulator and a physics simulator run synchronously and communicate in a closed loop fashion. As a member of our group you will contribute to the development of the NRP in the last stage of the HBP. *Your tasks* Contribute to the full cycle development of the NRP. We have some interesting challenges in this last part of the HBP and need a motivated person with experience and passion for software architecture design, physics and neural simulation and robotics. As well, the NRP is built as a production grade software product and we try to take seriously all steps in the development, including unit testing, quality assurance and continuous integration. Depending on your profile you will focus more on particular tasks suiting your experience with the possibility of learning and applying new skills. *Your profile* * Basic skills: - Demonstrable excellent Python and C/C++ programming skills - Experience and participation in collaborative software projects - Experience and passion in robotics, machine learning, neural simulation and/or physics simulation is a big plus - Good spoken and written English skills * Additional skills: - Experience in other programming languages - Version Control software (eg. GIT) - Robotics oriented middlewares and frameworks (eg. ROS) - Experience in Software Architecture design - Experience in Real Time systems design - QA and devops experience *Our offer* - You will participate in an international research project of great relevance and collaborate with top european institutions - Contract of two and a half years with a competitive salary according to experience. Offered brute salary range is 1600 - 2400 €, to be concreted according to relevant experience and skills. - Short trips within Europe as part of the project activities. - Very nice and friendly atmosphere in the group - You will be based on Granada, an exciting and cultural city at the South of Spain half an hour away from mountains, snow and the beach If you are interested in joining our group and HBP send your application to Eloy Retamino (retamino at ugr.es) including your CV and a motivation letter. Please note that only shortlisted candidates will be contacted. Also, applications without a dedicated motivation letter will not be considered. [1] http://acn.ugr.es [2] https://www.humanbrainproject.eu [3] https://neurorobotics.net

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International Max Planck Research Schhol NeuroCom: Call for applications
by Martin Bogdan Sept. 23, 2020

Sept. 23, 2020

Call for applications: International Max Planck Research Schhol NeuroCom: Call for applications The International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom) invites excellent students holding a master's degree (or equivalent) to pursue a PhD in the field of cognitive neuroscience and methods in cognitive neuroscience. The IMPRS NeuroCom is based at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and Leipzig University. It also closely partners with the Max Planck Institute for Evolutionary Anthropology, Leipzig, and the Institute of Cognitive Neuroscience at University College London, UK. Deadline for applications is 15 November 2020. Interviews will take place in January 2021. Start date is flexible, but not later than autumn 2021. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . The IMPRS NeuroCom aims to recruit and educate motivated, independent, self-organised and highly talented scientists who wish to extend their knowledge and research experience in a structured 3-year PhD programme in order to pursue a successful career in cognitive neuroscience, clinical neuroscience, neurophysics, or other methods in cognitive neuroscience. Students are expected to hold an excellent master's degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive neuroscience, psychology, medicine, neurobiology, linguistics, computer science, engineering, mathematics, physics, biochemistry, or related fields. The master’s degree should have been awarded by an internationally recognised university. Students nearing completion of their master’s degree are also encouraged to apply. Research experience in an area that is related to the graduate school’s scope is essential for successful candidates. Proficiency in oral and written English is crucial. The IMPRS NeuroCom offers its doctoral students outstanding research opportunities in a very international and multidisciplinary environment. It includes access to state-of-the-art cognitive and imaging neuroscience facilities, e.g. 7T MRI scanner, four 3T MRI scanners including a Connectom MRI scanner equipped with ultra- strong gradients (one of only four worldwide), a 306 channel MEG system, several TMS, TDCS, NIRS, and EEG systems. Research projects and teaching at IMPRS NeuroCom are assigned to four thematic modules (Language and Communication, Cognitive and Affective Neuroscience, Basic and Clinical Neuroscience, and Neuroimaging Physics and Signal Processing). Our faculty is very interdisciplinary and comprises more than 30 highly- renowned researchers from our participating research organisations performing high-end research related to one of the four modules. Applications will be evaluated by the IMPRS NeuroCom faculty members in two stages. Firstly, candidates will be selected for interviews based on their written applications, with a focus on academic qualifications, personal references, research experience and interests, and suitability to the programme. Secondly, interviews with the IMPRS NeuroCom faculty members will take place in January 2021. The Max Planck Society is an equal opportunity employer and is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Salary is based on the guidelines of the German public sector pay scale (TVöD). With almost 600,000 inhabitants, Leipzig is the largest city in the federal state of Saxony. In more than 800 years of recorded history, Leipzig emerged as a city of classical music, trade fairs, academic education, and —recently—modern arts. With its many parks, forests, canals and lakes, Leipzig is a perfect place for recreation, sports, and leisure time, and it offers plenty of opportunities for social life. Only recently Leipzig was listed by the New York Times as one of the 52 places to go in 2020. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . -- ************************************************************************** Prof. Dr. Martin Bogdan Institut für Informatik Neuromorphe Informationsverarbeitung Universität Leipzig Augustusplatz 10 D-04109 Leipzig Germany Postadresse: PF 100920 D-04009 Leipzig Tel: (++49) 341 97 32208 Fax: (++49) 341 97 32252 E-mail: bogdan(a)informatik.uni-leipzig.de https://ti.informatik.uni-leipzig.de/ ************************************************************************** Denken Sie selbst, sonst tuen es Maschinen für Sie! 'Nihil est ab omni parte beatum' (Horaz) El problema de la humanidad es que los estúpidos están seguros de todo y los inteligentes están llenos de dudas **************************************************************************

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Postdoctoral Position in Cognitive Robotics at UC Irvine
by Jeffrey Krichmar Sept. 22, 2020

Sept. 22, 2020

Dear Colleagues, We have an opening for a postdoctoral scholar position in the Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. The position is for research projects on neurobiologically inspired models of navigation, which are to be implemented on indoor and outdoor robots. Applicants should have a strong computer science background, robotics experience, as well as an interest in neuroscience and/or cognitive science. The specific Federally funded projects include: · Cognitive Maps in Rats, Robots and Men · Advantages of Varying Navigational Abilities in Humans and Robots More information about the lab, recent publications, software, and videos can be found at: · http://www.socsci.uci.edu/~jkrichma · https://www.youtube.com/user/cognitiveroboticsuci/videos Interested candidates can find specific application requirements and the online application for this position at: · https://recruit.ap.uci.edu/JPF06408 Your cover letter should specify that you are interested in the postdoctoral position with Jeff Krichmar. If you have any questions, feel free to contact me at: jkrichma(a)uci.edu About UCI (www.uci.edu) In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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[Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2020 Workshop
by SVRHM Workshop Sept. 22, 2020

Sept. 22, 2020

The goal of the Second Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM) at NeurIPS 2020 is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities. In the past few years, machine learning tools — especially deep neural networks — have permeated the vision/cognitive/neuro science communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made in the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields. The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to share their work in progress at the Poster Session that are applicable to the scope of the Workshop. For the first time this year, the 4 highest scoring papers will also be awarded an Oral Presentation entry in the program. The following areas provide a sense of suitable topics for 4-5 page paper submissions: - Biological inspiration and inductive bias in vision - Human-relevant strategies for robustness and generalization - New datasets (e.g., for comparing humans/animals and machines) - Biologically-driven self-supervision - Perceptual invariance and metamerism - Biologically-informed strategies to mitigate adversarial vulnerability - Foveation, active perception, and attention models - Intuitive physics - Biologically inspired Generative Models - Perceptual and cognitive robustness - Nuances and noise in perceptual and cognitive systems - Creative problem-solving - Differences and similarities between humans and deep neural networks - Canonical computations in biological and artificial systems - Alternative architectures for deep neural networks - Reverse engineering of the human visual system via deep neural networks We will be awarding a new *NVIDIA Titan RTX* *3080* as the *Diversity in AI Best Paper Award* and an *Oculus Quest* *2* as the *Breakthrough in Biologically-Driven Generative Models Award* respectively at the conference. Link to the workshop with additional details for the Call for Papers: https://www.svrhm.com https://www.svrhm.com/call-for-papers Link to Paper workshop submission: https://openreview.net/group?id=NeurIPS.cc/2020/Workshop/SVRHM The submission deadline is October 4th, 2020. Questions regarding the workshop should be sent to: svrhm2020(a)gmail.com Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths The SVRHM workshop is currently sponsored by MIT’s Center from Brains, Minds and Machines (CBMM), National Science Foundation (NSF), NVIDIA, Facebook Reality Labs (Oculus) and MIT’s Quest for Intelligence.

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