April 2021 - Comp-neuro - lists.cnsorg.org

Up to 6 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy, to start Oct, 2020
by Alessandro Treves Oct. 12, 2022

Oct. 12, 2022

SISSA is an elite postgraduate research institution located in Trieste, Italy, and focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is very inter–disciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational and mathematical models. Students with diverse backgrounds (physics, math, medicine, psychology, biology) are most welcome to apply. The Department has an exceptional track record with highly competitive funds (recent funding includes 4 ERC and 3 Human Frontiers grants) and publication in top journals (Nature, Science, PNAS, Current Biology). Recent placements after PhD include Harvard, MIT, Columbia and Princeton in the US; the NTNU, Manchester and Radboud in Europe; and Sydney University, Australia. Our alumni have been awarded 4 ERC grants, the 2015 Kandel Young Neuroscientist Prize and the 2017 ICTP Prize. More information about the Department is available at our website https://phdcns.sissa.it. The selection procedure is now open; to learn how to apply, please visit https://phdcns.sissa.it/admission-procedure. Please contact the PhD Coordinator (davide.crepaldi(a)sissa.it) and/or your prospective supervisor for more information and informal enquiries. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623

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Postdoc in neural data analysis
by Mark Humphries June 26, 2022

June 26, 2022

A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question using newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries(a)nottingham.ac.uk Deadline: 5th September Full details, and to apply: https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2 [http://jobs.nottingham.ac.uk/org/images/socialmedia.png]<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Job Vacancy at the University of Nottingham: Research Associate/Fellow (Fixed term)<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Applications are invited for a postdoctoral research fellow to join the Humphries’ group on the MRC-funded project “Uncovering the neural basis of movement transitions”. The Humphries’ group researches fundamental... jobs.nottingham.ac.uk Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Explainable AI: Overcoming problems of Deep Learning problems with Adaptive Resonance
by Grossberg, Stephen April 9, 2022

April 9, 2022

Dear Colleagues, There's currently a lot of interest in AI, notably Deep Learning, and in achieving autonomous adaptive intelligence. The following new article summarizes foundational problems of reliability and trustworthiness of Deep Learning, explains how Adaptive Resonance overcomes them, and outlines a blueprint for achieving autonomous adaptive intelligence: Grossberg, S. (2020). A path towards Explainable AI and autonomous adaptive intelligence: Deep Learning, Adaptive Resonance, and models of perception, emotion, and action. Frontiers in Neurobotics, June 25, 2020. https://doi.org/10.3389/fnbot.2020.00036 Best, Steve Grossberg

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Postdoc at the University of Leicester to work on human single cell recordings
by Quian Quiroga, Rodrigo (Prof.) Nov. 23, 2021

Nov. 23, 2021

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Research placement positions at Secondmind Labs
by Hrvoje Stojic April 30, 2021

April 30, 2021

Dear all We have just opened five research placement positions at [Secondmind Labs](https://www.secondmind.ai/labs/), based in Cambridge, United Kingdom. The overall area for the placements is Gaussian process models and Bayesian optimisation. The placements are three months long and are typically targeted at PD candidates. More details, including some placement proposals, can be found [here](https://boards.greenhouse.io/secondmind/jobs/5205946002). Note that it is also possible for applicants to propose their own topics for the placement. Kind regards, Hrvoje ----------------------------- Hrvoje Stojic, PhD Web: [https://hstojic.re/](http://hstojic.re/)

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The Algonauts Project 2021 Challenge- How the Human Brain Makes Sense of a World in Motion
by Gemma Roig April 30, 2021

April 30, 2021

Dear colleagues, We are pleased to announce a new challenge sponsored by The Algonauts Project <http://algonauts.csail.mit.edu/>: How the Human Brain Makes Sense of a World in Motion. We invite you to join us in a competition to develop the best computer model of how the human brain perceives videos of everyday events. Participants who come up with a model that most closely matches recorded brain data will be invited to present their work at a virtual workshop on Sept. 7, 2021 at this year’s Conference on Cognitive Computational Neuroscience (CCN <https://ccneuro.org/2021/>). Submission deadline: Aug. 15, 2021. The Algonauts Project: http://algonauts.csail.mit.edu/ <http://algonauts.csail.mit.edu/> CCN Workshop: How the Human Brain Makes Sense of a World in Motion Sept. 7, 2021 Organizers will summarize the outcome and provide hands-on tutorials. Challenge winners will present the results of their work. We look forward to seeing you at the workshop in September, and we hope you will consider joining the challenge! Best wishes, The Algonauts Project Team Algonauts 2021 Project Team: Radoslaw Cichy, Freie Universität Berlin Aude Oliva, Massachusetts Institute of Technology Gemma Roig, Goethe University Frankfurt Alex Andonian, Massachusetts Institute of Technology Kshitij Dwivedi, Goethe University Frankfurt Monika Graumann, Freie Universität Berlin Polina Iamshchinina, Freie Universität Berlin Kendrick Kay, University of Minnesota Benjamin Lahner, Massachusetts Institute of Technology Alex Lascelles, Massachusetts Institute of Technology N Ratan Murty, Massachusetts Institute of Technology

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Excellence PhD opening on advanced analyses of monkey recordings in parieto-motor cortices (Aix-Marseille University)
by BATTAGLIA Demian April 30, 2021

April 30, 2021

We are offering one excellence PhD fellowship (3 years) at Aix-Marseille University within the labs of Bjorg Kilavik (experimental electrophysiology; Timone Institute of Neuroscience - INT, Marseille) and Demian Battaglia (computational neuroscience; Institute of Systems Neuroscience - INS, Marseille & University of Strasbourg Institute of Advanced Studies - USIAS). The project will involve the analysis with advanced computational methods (network and activity pattern analyses, machine learning, information theory...) of laminar-specific recordings in parietal and motor cortices of non-human primates. The aim will be to investigate the role of different cortical layers and of their dynamic interactions, mediating the processing and integration of information from bottom-up and top-down sources, in the encoding of motor plans and behaviors. This project corresponds to "ESR1" (https://research.ncl.ac.uk/in2pb/phdprojects/esr1/) within the EU high-level training-by-research consortium "In2PrimateBrains" (https://research.ncl.ac.uk/in2pb/) federating world-leading european groups working in non-human primate neuroscience research. Becoming PhD within the network will offer unique training and interaction opportunities with other In2PrimateBrains members, in addition to the specific research conducted in the host lab. Depending on the profile of the candidate, the PhD project will revolve on the computational analysis side of existing data or may also include the possibility to learn how to acquire new recordings, in a mixed experimental-theoretical project. The fellowship comes with a competitive salary (beyond national averages) within the prestigious Marie Skłodowska-Curie Actions scheme and with grant money for participating to training, conferences, buying equipment... In addition to the training providing within the "In2PrimateBrains" international program, the candidate will also profit ot the local "Neuroschool" graduate program (https://neuro-marseille.org/) offering high-level training (in English language) in integrative neuroscience, research management and soft skills, within one of the largest neuroscience communities in France. Aix-Marseille University is one of few excellence-labelled universities (IDEX) in France, making of interdisciplinary research one of its main axes. Marseille is a vibrant city with wonderful natural surroundings and high-speed train and flight connections to many large cities in Europe. The interesting candidate will file an application through an online form (https://research.ncl.ac.uk/in2pb/phdprojects/) selecting Project "ESR1 - Layer-specific dynamics of parieto-motor networks during visually-guided arm reaching behaviour" as first choice (other projects described on the website can be selected as second and third choice). DEADLINE is 15th May 2021 The top-ranked candidates are then going to be interviewed orally and finally selected through a competitive, equal-opportunities procedure. Applying candidates are strongly invited to make a parallel inquiry by writing to us directly, including a CV, the name of two references and any other information that you may wish to share. Demian Battaglia - demian.battaglia(a)univ-amu.fr Bjorg Kilavik - bjorg.kilavik(a)univ-amu.fr

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Two Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang April 30, 2021

April 30, 2021

Our lab will be moving to Washington University in St. Louis in July 2021. We are looking for two highly motivated postdoctoral scholars to work on NSF and DoD funded projects. One postdoctoral scholar will use human single-neuron recordings to study the neural circuits underlying social attention, and the other postdoctoral scholar will use multimodal neuroimaging techniques to study social behavior and brain networks in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Individuals with previous human intracranial EEG expertise and/or macaque single-neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. Shuo Wang, Ph.D. Assistant Professor West Virginia University https://wangshuo45.wixsite.com/shuowang

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New Master’s programme Applied Data Science in Göttingen, Germany
by Ecker, Alexander April 29, 2021

April 29, 2021

*New Master’s program Applied Data Science in Göttingen, Germany* https://uni-goettingen.de/msc/datascience In the upcoming winter term, we are launching the new international Master’s programme Applied Data Science at the University of Göttingen. The study programme is characterised by its interdisciplinary nature. Students holding a Bachelor’s degree in data science, computer science or mathematics are welcome, as well as graduates from other fields. We want to equip students with both in-depth knowledge of the key mathematical, statistical and computer science methods for Data Science as well as to make sure they understand how to use these methods in an application domain. Currently, the following application domains can be chosen: Computational Neuroscience, Bioinformatics, Medical Data Science, and Digital Humanities. The Göttingen Campus features an amazing variety of data-intensive research from natural and life sciences to social science and humanities. It includes top-notch research institutions like five Max Planck Institutes, the German Primate Center and the German Aerospace Center. Göttingen a university town located in the centre of Germany and Europe, in a region known for its green hills, lovely small towns with half-timbered houses and the Harz Mountains. Well-connected through motorways and high-speed trains, it is a great place to discover Germany and Europe. For further information see https://uni-goettingen.de/msc/datascience or the flyer: https://owncloud.gwdg.de/index.php/s/gBeb11Io6mw9XiR

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WWNeurise series on naturalistic behavior & applications/recommendations
by William Podlaski April 29, 2021

April 29, 2021

WorldWideNeuRise will host several online talks throughout May-June on the topic of naturalistic behavior from the following speakers: Wednesday, 5 May, 5pm CET Asaf Gal (Kronauer Lab, The Rockefeller University, USA) Daniel Knebel (Ayali Lab, Tel Aviv University, Israel) Wednesday, 19 May, 5pm CET Constanze Lenschow (Lima Lab, Champalimaud Research, Portugal) Takashi Yamaguchi (Lin Lab, NYU, USA) Wednesday, 2 June, 5pm CET Ayelet Sarel (Ulanovsky Lab, Weizmann Institute of Science, Israel) Tu Anh Nguyen Thi (el Jundi Lab, University of Wuerzburg, Germany) Wednesday, 16 June, 5pm CET Yael Bitterman (Luethi Lab, Friedrich Miescher Institute, Switzerland) Adam Calhoun (Murthy Lab, Princeton University, USA) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are actively searching for PhD students and postdocs to give talks in our upcoming seminar blocks. On our website (https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Ellen Boven (Apps lab, University of Bristol) Christina Buetfering (Häusser lab, University College London) Lucie Descamps (Kentros lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Clopath lab, Imperial College London) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud Research)

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Open Position for a PhD Candidate at the Donders Centre for Cognition
by Nasir Ahmad April 29, 2021

April 29, 2021

*Dear Colleagues,* *We invite applicants for a PhD position on 'Bio-inspired learning algorithms for efficient and robust neural network models with a focus on neuromorphic computing and control of complex environments'.* https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=11475… This project is embedded within the European Laboratory for Learning and Intelligent Systems (ELLIS) Unit in Radboud AI. The aim is to develop highly effective algorithms for training artificial neural network models which make use of (biologically plausible) information local to the individual nodes of the network. This locality will allow efficient implementation and testing of these algorithms on neuromorphic computing systems. The efficacy of the algorithms will be tested in the context of relevant reinforcement learning tasks using a control system theoretic approach to interaction with modelled environments. This work entails a theoretical (mathematical) development of state-of-the-art biologically plausible learning rules and reinforcement learning strategies alongside implementation/testing of these algorithms in the form of neuromorphic computing algorithms and agent-based artificial neural network modelling. We offer you a full-time (100%) position for 4 years. This project is supervised by Prof. van Gerven, Dr Nasir Ahmad and Dr. Bodo Rueckauer. You will be employed at the Artificial Intelligence department of the Donders Institute for Brain, Cognition and Behaviour, where you will have the opportunity to collaborate and interact with renowned international experts in machine learning, computational neuroscience and neuromorphic computing. You will also benefit from the extensive training programme of the Donders Graduate School. Additionally, you will have the opportunity to supervise MSc and BSc students in their thesis projects. 10% of your appointment will be devoted to support tasks in the ELLIS unit, such as helping to organise ELLIS activities or (co)supervision of ELLIS-related projects. If you are interested, please follow the link below for more information and instruction on how to apply: https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=11475… The deadline is 16th May 2021. Feel free to email me or Marcel van Gerven ( marcel.vangerven(a)donders.ru.nl) with any questions/thoughts. Best wishes, Nasir Ahmad

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Doctoral positions in experimental and computational neuroscience in Mainz and Frankfurt, Germany
by Matthias Kaschube April 29, 2021

April 29, 2021

POSITIONS: The groups of Simon Rumpel at the Medical Center of the University of Mainz and Matthias Kaschube at FIAS in Frankfurt, Germany, together have openings for fully funded doctoral positions in experimental and computational neuroscience. The two groups tightly interact on several interdisciplinary joint projects funded by the German Research Foundation (DFG). Research combines behavioral learning assays, chronic imaging of synapses and activity patterns in the auditory cortex of mice, machine learning-assisted image analysis and data analysis, and neural circuit modelling. The overarching goal of these projects is to gain a deeper understanding of the neural underpinnings of adaptive, yet stable behavior by bridging studies of the dynamic connectome, large scale population activity and behavioral learning. The positions are available immediately. LAB ENVIRONMENTS: The experimental work will be carried out at the Medical Center of the Johannes Gutenberg University in Mainz offering methodology for advanced approaches in systems neuroscience including two-photon microscopy and molecular interventions using AAV vector systems (www.unimedizin-mainz.de/agrumpel) The theoretical work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science (https://www.fias.science/en/neuroscience/research-groups/matthias-kaschube/) FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Strüngmann Institute for Neuroscience. The Rhine-Main area including the cities of Frankfurt and Mainz is a vibrant metropolitan area in the heart of Europe and boasts a rich cultural community. Due to the strong interactive nature, mutual short- and long-term visits in both labs will be part of the project. QUALIFICATIONS: This call for applications is geared towards theoreticians as well as experimentalists, and also offers a unique opportunity to all who see themselves in between the two poles. Selection criteria include scientific enthusiasm, strong experimental or quantitative skills and past research accomplishments. Applicants must have received training and a master’s degree or equivalent in a relevant quantitative discipline including biomedicine, biology, computer science or physics. Previous experience in neurobiology is advantageous but not essential. APPLYING: Applicants should email a brief letter of intent, a detailed CV and the names of at least two scientists who can give references (in a single PDF) to Simon Rumpel (sirumpel(a)uni-mainz.de, emphasis on the experimental aspects) or Matthias Kaschube (kaschube(a)fias.uni-frankfurt.de emphasis on the computational aspects). The position is available immediately, and we look forward to reviewing applications as they arrive. Both Mainz University and FIAS are dedicated to building a diverse community in its training and employment programs.

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3 days remaining to submit a "Trainee Talk" for the second Canadian Computational Neuroscience Spotlight
by Scott Rich April 28, 2021

April 28, 2021

The second edition of the Canadian Computational Neuroscience Spotlight (CCNSv2) is fast approaching, with the meeting taking place this coming May 17-18. We now have a permanent homepage for the meeting at ccnsmeeting.ca where you can see details on our finalized list of speakers and our four fantastic session chairs: Drs. Maurizio De Pitta, Etay Hay, Carmen Canavier, and Bratislav Misic. *There are now three days remaining for trainees (undergrads, grad students, postdocs, and research scientists) to submit an abstract for a "trainee talk" via https://forms.gle/bsbrvZca6F1q62RA6 <https://forms.gle/bsbrvZca6F1q62RA6>*. We anticipate all submissions that reasonably fall under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Talks will either be 8 minutes (with 2 minutes for questions) or 12 minutes (with 3 minutes for questions) depending on the demand. Four submissions that are both the most meritorious and best correspond with the themes of our sessions will be offered a longer, "spotlight" presentation. Please be sure to register for the meeting itself at https://www.crowdcast.io/e/ccnsv2/register if you submit a trainee abstract. Please feel free to spread the news about our meeting to anyone who might be interested as well! We look forward to seeing you at CCNSv2. Sincerely, – Scott Rich, Ph.D. Postdoctoral Research Fellow, Krembil Research Institute – Andreea Diaconescu, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – John Griffiths, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH – Milad Lankarany, Ph.D. Scientist, Krembil Research Institute

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Open PhD Position on Machine Learning for Brain Connectivity in Clinical Neuroscience
by Emanuele Olivetti April 28, 2021

April 28, 2021

We are pleased to announce the opening of one PhD position in neuroinformatics at the International Doctoral School in Cognitive and Brain Sciences (CIMeC) of the University of Trento, Italy. The PhD Grant is funded by the Neuroinformatics Laboratory (NILab) of Fondazione Bruno Kessler (FBK). The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. Neuroimaging methods, like structural, functional, and diffusion magnetic resonance imaging (MRI), can be used to investigate the anatomical and functional connectivity of the brain. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 4 year PhD program (Nov. 1, 2020- Oct. 31, 2024). Courses are in English. The salary is starting at approximately €1.200/mo., net. An additional personal budget of around €5.000 is provided for research and mobility. The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). Why choose Trento? ( http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento) Important dates: Deadline for application: 25 May 2021 Evaluation interview: 28 June 2021 Beginning of PhD program: 1 November 2021 Apply now: https://www.unitn.it/en/ateneo/1942/announcement-of-selection https://www.unitn.it/drcimec/105/2021-topic-specific-grants-and-descriptions You are kindly invited to contact in advance Emanuele Olivetti ( olivetti(a)fbk.eu) and Paolo Avesani (paolo.avesani(a)unitn.it) Recent related publications: - Giulia Bertò, Daniel Bullock, Pietro Astolfi, Soichi Hayashi, Luca Zigiotto, Luciano Annicchiarico, Francesco Corsini, Alessandro De Benedictis, Silvio Sarubbo, Franco Pestilli, Paolo Avesani, Emanuele Olivetti, "Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation", Neuroimage, 2021, https://doi.org/10.1016/j.neuroimage.2020.117402 - Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti, "Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy", Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (MLCN 2020), https://doi.org/10.1007/978-3-030-66843-3_2 - Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani, "Tractogram filtering of anatomically non-plausible fibers with geometric deep learning", Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), https://doi.org/10.1007/978-3-030-59728-3_29 -- Emanuele Olivetti, Ph.D. Senior Research Scientist at Bruno Kessler Foundation (FBK-ICT) NeuroInformatics Laboratory (NILab) http://nilab.fbk.eu Center for Mind and Brain Sciences (CIMeC), University of Trento Via delle Regole 101 - 38123 Mattarello (Trento), ITALY olivetti(a)fbk.eu - +39 0461314179 emanuele.olivetti(a)unitn.it - +39 0461282760 -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Open positions in the Vogels Lab
by Tim Vogels April 27, 2021

April 27, 2021

Dear Colleagues, the Vogels lab has two open postdoctoral positions. TL;DR, if you liked our last NeurIPS paper https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1 <https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1> and you think you can contribute and imagine, oh, the places we’ll go from here,…from one of the most liveable cities in the world, … DO apply. — We are looking for at least two scientists to join the vogelslab.org as postdocs at the @ISTAustria near Vienna. The successful candidate will join an ongoing ERC funded project to discover families of spike-induced synaptic plasticity rules by way of numerical derivation. Together, we will define and explore search spaces of biologically plausible plasticity rules expressed e.g., as polynomial expansions or multi layer perceptrons. We aim to compare the results to various experimental and theoretical data sets, including functional spiking network models, human stem-cell derived neural network cultures, in vitro and in vivo experimental data. We are looking for someone who can expand and develop our multipurpose modular library dedicated to optimization of non-differentiable systems. Due to the modularity of the library, the candidate will have extensive freedom regarding which optimization techniques to use and what to learn in which systems, but being a team player will be a crucial skill. A conceivably successful candidate will have a strong expertise in numerical simulations, and specifically spiking neuron models, and some knowledge in the field of synaptic plasticity. A strong background in applied maths, especially in numerical optimization would be desirable. Some of the questions we ponder: How to express high dimensional rules in However, we can hire more than one person, and we would also be interested in someone who can contribute to design, implementation and maintenance of a library dedicated to performing numerical optimization in non-differentiable systems on large scales. We are thinking about how to simulate spiking neural networks with complex, unsupervised and supervised plasticity rules efficiently, in parallel, on a cluster. Depending on your (flexible, possibly immediate) starting date we can offer up to 4-year contracts with competitive salaries, benefits, vacation time and ample budget for materials and travel in a tranquil and inspiring environment. The Vogelslab, and the IST Austria is located in Klosterneuburg, a historic city northwest of Vienna. The campus is located in the middle of the beautiful landscape of the Vienna Woods, 30 minutes from downtown Vienna, the capital of Austria that consistently scores in the top cities of the world for its high standard of living. If you are interested, send an email with your application to Jessica . deAntoni [at] ist.ac.at. Your application should include your CV, your most relevant publication, contact information for 2 or more references, and a cover letter with a short description of you & your career, and a brief discussion of what you think is the greatest weakness of the above mentioned NeurIPS paper (and maybe how you would go about fixing it). We are looking to build a diverse and interesting environment, so if you bring any qualities that make our lab (and computational neuroscience at large) more diverse than it is right now, please consider applying. We will begin to evaluate applications at the end of April and aim to get back to you with a decision within 5 weeks of your application. We are also looking for people with a strong background in maths and machine learning, and an intense interest in neuroscience. Specifically, we will focus on (GABAergic, <http://www.neurotheory.ox.ac.uk/~timv/pub/VogelsScience2011.pdf> codependent <http://www.neurotheory.ox.ac.uk/~timv/pub/Hennequin2017.pdf>, and machine-learning inspired <https://fzenke.net/wp-content/uploads/2018/03/ZenkeGanguli2018_SuperSpike.p…>) synaptic plasticity, and modulated <https://www.nature.com/articles/s41593-018-0276-0> neural network dynamics. <http://www.neurotheory.ox.ac.uk/~timv/pub/HennequinNeuron2014.pdf> Finally, we are keen to hear from women and members of underrepresented groups in neuroscience. Please email me with any questions or thoughts. Best wishes, Tim Vogels --- Professor Neurotheory IST Austria vogelslab.org +43 2243 9000 2170

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Post-doc in the Neurophysiology of Attention & Decision Making at UCLA
by Bisley, James April 26, 2021

April 26, 2021

Apologies for cross-posting We invite applications for a post-doc position studying the interactions of attention and decision making in parietal cortex. The work will include recording from cortical areas MT and LIP while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at https://www.ncbi.nlm.nih.gov/myncbi/james.bisley.2/bibliography/public/. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Postdoc position on causal explanations in reinforcement learning at the University of Vienna
by Moritz Grosse-Wentrup April 26, 2021

April 26, 2021

We have an opening for a postdoc position in the Research Group Neuroinformatics at the University of Vienna [1]. The position is funded by the CHIST-ERA project CausalXRL - Causal eXplanations in Reinforcement Learning [2]. The project aims to equip reinforcement learning agents with causal structure learning and reasoning abilities, enabling them to explore their environment more efficiently and justify their actions, e.g., in medical decision support. All work will be done in close collaboration with partners at the University of Sheffield and Inria Lille. The position is available for three years, with an earliest (but reasonably flexible) starting date on July 1st. Salary is according to the Collective Bargaining Agreement for university staff at the University of Vienna (job group B1 100% [3]). Our ideal candidate would have * a background in computer science or mathematics, * recently finished their Ph.D. on reinforcement learning or causality, * published first-author papers at internationally recognized machine learning conferences (e.g., NeurIPS, ICML, UAI, ECML) or in prominent journals. We will consider all applicants with a strong track record in machine learning or artificial intelligence. We strive to be a heterogeneous research team and particularly welcome applications by women, transgender and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. Your application should include a cover letter, a CV, relevant transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. We will begin screening applications on May 17th. Applications will be considered until the position is filled. Our offices are in downtown Vienna, which has been ranked the most liveable city globally for two years in a row [4]. The University of Vienna is one of Europe's largest universities (with >90k students) and has a vibrant research community. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at! 1. https://ni.cs.univie.ac.at/ 2. https://www.chistera.eu/projects/causalxrl 3. https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch… 4. https://www.eiu.com/topic/liveability -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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FINAL call to register for neuroscience workshops!
by Mary April 26, 2021

April 26, 2021

With just 2 weeks to go, this is the final call for participants to register for upcoming neuroscience online courses, organized by ScienceBeam Academy, as described below: 1) “Deep Dive into Event Related Potentials (ERPs) Technique” Online Course Prospective overview of the sessions: 1. Basics of EEG signal and EEG recordings ➢ Overview of the theory behind neural signals (History) ➢ Generation and Propagation of ERP and EEG ➢ Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.) ➢ 10/20 Electrode System, Reference, Montages, Impedance, etc. ➢ Brain Rhythms and Cognition (Based on Clinical and Research Studies) 2. Basics of ERP Components ➢ ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.) ➢ Difference Wave, Forward-Inverse Problem ➢ Challenges in ERP Source Localization ➢ Peaks and Components 3. EEG-ERP Prepossessing with Various Preprocessing Pipelines ➢ Basic Principles and Challenges ➢ Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc. ➢ Pipelines: MAKATO, HAPPE, BEAP and etc. 4. Experimental Design ➢ Principles of Experimental design for ERP in Clinical and Research Settings ➢ Significance of Measurement Window ➢ Common Design Problems and Solutions ➢ Case Studies on research articles with good and bad design 5. Basic Analysis ➢ Quantifying ERP Amplitudes and Latencies ➢ Introduction to the Analysis tool boxes (EEGLAB, ERPLAB) ➢ FFT, Time Frequency Analysis 6. Common Mistakes (in lack of parameters) ➢ Overlapping ➢ Filtering ➢ Epoching ➢ Baseline Correction ➢ Measurement Window • Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience • Course Length: 7-sessions online course • Introductory webinar: https://sciencebeam.com/erplab-webinar/ • Registration: https://sciencebeam.com/pragati-gupta-course/ o Deadline: May 5, 2021 2) “Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue” Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data. Prospective overview of the sessions: 1. Session 1: ➢ Systems and complex system in neurosciences ➢ Origins of electrophysiological signals and measurements ➢ Electrophysiology and relevant features for computational modeling: o Membrane potential o Raster plot o Local field potential 2. Session 2: ➢ Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ➢ Introduction to dynamical systems for neurosciences: o Differential equations o Phase space representation o Stability and domain of attraction ➢ Unidimensional and bidimensional models o Dynamics of integrate-and-fire models o Repertoire of 2 D models o Reduction of Hodgkin-Huxley model 3. Session 3: ➢ 2D and Higher dimensions models: o Particular role of the reset o Possibility of chaos ➢ Models of synapses ➢ Limits of models: o Biophysical and mechanistic description o Phenomenology ➢ Introduction to the first lab session (with Brian2 simulator) 4. Session 4: ➢ First Lab Session: o Repertoire of electrophysiological patterns o Models of networks o Global measure on simulations 5. Session 5: ➢ Second lab session: o analysis of the results o relations to the data ➢ Conclusive discussion • Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France • Course Length: 5-sessions hands-on online course • Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ • Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activit… o Deadline: May 20, 2021 If you require any further information, feel free to contact us: workshop(a)sciencebeam.com

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EBRAINS Training on Model Validation (May 4 - 7) - Extended Deadline
by Shailesh Appukuttan April 26, 2021

April 26, 2021

*EBRAINS Training on Model Validation* *4–7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. For a quick overview of the EBRAINS Model Validation Framework, check this short video: *https://www.youtube.com/watch?v=AEq-McLHxD4 <https://www.youtube.com/watch?v=AEq-McLHxD4>* There are two parts to the workshop: - *Part 1: **May 4th, 5th* *talks, demos, hands-on tutorials* Deadline for application: *30 April (Friday) 2021* - *Part 2 (optional): **May 6th, 7th* *working on own projects* Deadline for application: *28 April (Wednesday) 2021* *Registration is free of charge for everyone. Visit:* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ Applicants are allowed to register for only Part (1), in which case they are not required to submit the abstract (mentioned below). *Call for Submissions (for Part 2):* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: • A short description of your model • Simulators/tools used for developing and simulating models • Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data • If you have already some questions or comments, you are welcome to mention them • If your model is already published, please include references at the end of the abstract Please send your abstract latest until *30 April 2021 (Friday), 5pm (CET)* to training-support(a)humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support(a)humanbrainproject.eu Cheers, Shailesh Appukuttan

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Fully funded PhD Position Panzeri Lab- Computational approaches to study the neural code
by Stefano Panzeri April 25, 2021

April 25, 2021

*Fully funded PhD Position Panzeri Lab - Computational approaches to study the neural code* I am seeking candidates for a PhD position fully funded (including a full stipend) for 4 years in my laboratory. The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey (Harvard Medical School), Tobias Donner (UKE), Tommaso Fellin (IIT), Mathew Diamond (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT), Alessandro Gozzi (IIT), Mike Lombardo (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 21th 2021*, but quite a bit of paperwork is needed. Thus, interested candidates are invited to contact me informally by email (*stefano.panzeri(a)gmail.com <stefano.panzeri(a)gmail.com>*) *as soon as possible,* by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest and to discuss the details of the formal application process. For recent representative publications please see: Runyan, C.A., Piasini, E., Panzeri, S., and Harvey, C.D. (2017). Distinct timescales of population coding across cortex. *Nature* 548, 92-96. Panzeri S., Harvey, C.D. Piasini, E., Latham, P.E. , Fellin, T. (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 G. Pica, E. Piasini, H. Safaai, C.A. Runyan, M.E. Diamond, T. Fellin, C. Kayser, C.D. Harvey, S. Panzeri, (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems* (NIPS) 30, 2017, available online H. Safaai, A. Onken, C.D. Harvey, S. Panzeri (2018) Information estimation using nonparametric copulas. *Phys. Rev. E* 98, 053302 E. Chong, M. Moroni, S. Shoham, S. Panzeri, D. Rinberg (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. S. Pashkovski, G. Iurilli, D. Brann, D. Chicharro, K. Drummey, K. Franks, S. Panzeri, S.R. Datta (2020). Structure and flexibility in cortical representations of odour space. *Nature*: 583: 253-258 doi: https://doi.org/10.1038/s41586-020-2451-1 J-F Patri, A. Cavallo, K. Pullar, M. Soriano, M. Valente, A. Koul, A. Avenanti, S. Panzeri*, C. Becchio* (2020) Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action. *Current Biology* 30: 4594-4605 https://doi.org/10.1016/j.cub.2020.08.104 S. Trakoshis, P. Martínez-Cañada, … A. Gozzi, S. Panzeri, and M.V. Lombardo (2020) Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLIFE 9: e55684. doi.org/10.7554/eLife.55684 D. Ferro, J. van Kempen, M. Boyd, S. Panzeri*, A. Thiele* (2021) Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. *PNAS* 118 (12), e2022097118, doi.org/10.1073/pnas.2022097118 Valente, A., Pica, G., Bondanelli, G., Moroni, M., Runyan, C.A., Morcos, A., Harvey, C.D., and Panzeri, S. (2021). Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, in press, early preprint available at: https://t.co/QJ3aHlTFad Stefano Panzeri

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NIH BRAIN postdoc: Computational neuroscience, machine learning & vision
by Michael Beyeler April 23, 2021

April 23, 2021

Assistant Professor Michael Beyeler and his Bionic Vision Lab ( https://bionicvisionlab.org) at the University of California, Santa Barbara (UCSB) invite applications for a fully funded postdoctoral position at the intersection of computational neuroscience and machine learning. Funded by the NIH BRAIN Initiative, the goal of this project is to determine how the mouse brain extracts relevant visual features from the rich, dynamic visual input that typifies active exploration, and to investigate how the neural representations of these features can support visual navigation. Under the guidance of Michael Beyeler, and in consultation with Bing Brunton (University of Washington), the role of the candidate is to perform data-driven statistical analyses and develop (deep) predictive models of brain activity based on visual input and several behavioral variables. The data includes one-of-a-kind measures of neural activity in mice navigating through real-world and virtual environments, collected using 2-photon imaging and electrophysiology by our collaborators Spencer Smith (UCSB), Michael Goard (UCSB), and Cris Niell (University of Oregon). This is an opportunity to work on an impactful real-world problem within a highly interdisciplinary and collaborative environment. The successful candidate should have a strong quantitative background with a PhD in computer science, computational neuroscience, cognitive sciences, statistics, or a closely related field. To work effectively in this highly collaborative environment, superior communication, language, and writing skills are required. Expertise in programming and statistical analysis is required as well; previous background in vision, neuroscience or deep learning would be highly beneficial. Candidates should send their CV, expected date of availability, and contact information for 2-3 references to Michael Beyeler (mbeyeler(a)ucsb.edu) Further information: - Position Title: Postdoctoral Fellow - Job Duration: 2 years, full-time - Start Date: asap / negotiable - Required Travel: 0-10% (possibility of interning with our collaborators) -- Michael Beyeler Assistant Professor Department of Computer Science Department of Psychological & Brain Sciences University of California, Santa Barbara bionicvisionlab.org

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SCGB Global Postdoc/Student Meeting: Tuesday, April 27th by C. Ann Duan
by Laura Long April 22, 2021

April 22, 2021

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at this month's Global meeting! Please see event details and Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146… Tuesday, April 27th, 9am Eastern Time https://simonsfoundation.zoom.us/j/93633603374?pwd=LytrcVp6MWlPY1dkb2UvbUJW… Passcode: 989252 C. Ann Duan SCGB Postdoctoral Fellow, Chinese Academy of Sciences Incoming Group Leader, Sainsbury Wellcome Centre *Cortical and collicular contributions to decision making in rats and mice* A central goal of behavioral neuroscience is to expose general principles of neural computation that give rise to cognition. Until recently, cognitive functions were thought to mainly rely on cortical areas such as the frontal cortex, while “old” subcortical areas, such as the midbrain superior colliculus (SC), have mostly been associated with sensorimotor processing. Based on these earlier work, we expected the SC to be passively inhibited while animals avoided unwanted reflexive actions. We were surprised to find that the SC played an active and pivotal role in suppressing context-inappropriate behaviors. Since then, my research has focused on understanding how the SC, in coordination with cortex, implements flexible decision making. My talk will cover work in two different decision-making tasks: flexible sensorimotor routing in freely-moving rats and motor planning in head-fixed mice. Using electrophysiology, optogenetics, pathway-specific two-photon calcium imaging, and computational modeling, we found that the SC is particularly important during the memory period in both tasks, when the context information or motor planning signals need to be maintained in the brain in the absence of sensory input and motor output. The participation of SC seems to increase as cognitive demand increases in both behaviors. Together, our experimental and computational work reveal the SC as a key node in the distributed cortico-subcortical network underlying flexible behaviors, and make surprising predictions for how decision making is implemented in brain circuits. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

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Postdoc / Research Fellow positions - Prague, Czech Republic - Institute of Computer Science CAS
by pokornam April 22, 2021

April 22, 2021

POSTDOC / RESEARCH FELLOW POSITION IN BRAIN SIGNAL PROCESSING: VISUAL INFORMATION FLOWS is available to join the Complex Networks and Brain Dynamics group [1] for the project: "Timing of the spatial scene processing in the dorsal and ventral visual stream of the human brain" funded by the Czech Science Foundation. More information and application at: HTTPS://WWW.CS.CAS.CZ/JOB-OFFER/IEEG-POSTDOC-POSITIONS-HLINKA2/EN ___ POSTDOC /RESEARCH FELLOW POSITION IN COMPLEX NETWORK ANALYSIS: CRITICAL EVENTS DETECTION is available to join the Complex Networks and Brain Dynamics group [1] for the project: “MODELLING AND ANALYSIS OF COMPLEX SYSTEMS FOR SAFETY OF CRITICAL INFRASTRUCTURES“ as part of the National Center of Competence - Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. More information and application at: HTTPS://WWW.CS.CAS.CZ/JOB-OFFER/NCK-POSTDOC-POSITIONS-HLINKA1/EN Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Links: ------ [1] http://cobra.cs.cas.cz/

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12 PhD fellowships in Neuroscience at Unipd
by Samir Suweis April 22, 2021

April 22, 2021

The Padova Neuroscience Center (http://pnc.unipd.it/ <http://pnc.unipd.it/>) is delighted to announce its second call for at least 12 fully funded PhD fellowships in Neuroscience at the University of Padova. The multidisciplinary PhD program includes research lines and methods from Multimodal Imaging, Molecular-Cellular-System, Cognitive-Affective-Behavioral, Translational-Clinical and Computational Neuroscience. The time-frame for the application is 8th of April-12th of May 2021 (at 1 pm). The details for the application are published at http://pnc.unipd.it/admission/ <http://pnc.unipd.it/admission/>. Interested candidates can also contact us (pnc.generalinfo(a)gmail.com <mailto:pnc.generalinfo@gmail.com>) for further information. Please forward this message to collaborators and students. Thanks **** Padova University <https://www.youtube.com/watch?v=z6ksrtGO-aI> is one of the oldest and most prestigious universities in Europe - established in 1222. The University of Padova invests significantly in research activities and projects. Padova, is a small and beautiful town, shaped around the University <https://www.youtube.com/watch?v=fHz98-ERwTs&t=243s>. Low living costs, great food, and you can bike everywhere! Samir Suweis, Ph.D. - - - - - - - - Assistant Professor, LIPh Lab - www.liphlab.com <http://www.liphlab.com/>, Physics & Astronomy Dept. Padova Neuroscience Center University of Padova Tel: +39 049 827 71 74 @SamirSuweis https://suweis.github.io/ <https://suweis.github.io/> Why don't you join the next generation publishing experiment with "Peer Community In" - publish and read at no cost and inject more money into research! Check us out @ https://peercommunityin.org <https://peercommunityin.org/> https://youtu.be/4PZhpnc8wwo <https://youtu.be/4PZhpnc8wwo> @PeerCommunityIn

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FENS Regional Meeting 2021 - August 25-27 - ONLINE
by Michał Zaręba April 21, 2021

April 21, 2021

*On behalf of my colleagues, I would like to invite you to participate in this year's FENS Regional Meeting (FRM), which takes place online on August 25-27, 2021. Abstracts can be submitted until May 10.* The FRM 2021 <https://fensfrm2021.pl/en> is organized jointly by the Polish Neuroscience Society (PNS) and the Lithuanian Neuroscience Association (LNA) under the auspices and with support from the Federation of the European Neuroscience Societies (FENS), and also with support from the International Brain Research Organization Pan-Europe Regional Committee (IBRO PERC). The FRM 2021 original city venue was Krakow, however, due to the COVID-19 pandemic, the Organizing Committee decided to hold the event on-line to ensure all attendees may meet safely. The conference will present the latest developments in neuroscience research and host panel discussions on topics ranging from directions for future development to diversity issues in the academia. The presidential and keynotes lecture of the meeting will be given by: - *Wolfram Schultz *(University of Cambridge, United Kingdom) - *Fiona Doetsch *(University of Basel, Switzerland) - *Virginijus Šikšnys* (Vilnius University, Lithuania) - *Naomi Anne Fineberg* (University of Hertfordshire, United Kingdom) - *Jürgen Knoblich* (Institute of Molecular Biotechnology OAW, Vienna, Austria) - *Riita Hari* (Aalto University, Helsinki, Finnland) - *Arturas Petronis *(Centre for Addiction and Mental Health, Toronto, Canada) - *Amita Sehgal *(University of Pennsylvania, Philadelphia, USA) - *Gábor Nyiri *(Hungarian Academy of Sciences, Budapest, Hungary) More information regarding the conference can be found on the website. <https://fensfrm2021.pl/en>

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postdoc on psychophysics and modelling of perceptual inference (CRM, Barcelona)
by Alexandre Hyafil April 21, 2021

April 21, 2021

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the *Center for Research in Mathematics (CRM),* Barcelona, Spain ( http://www.crm.cat/research-group/5/computational-neuroscience/ <http://www.crm.cat/en/Research/ResearchGroups/Neuroscience/Pages/default.as…>). The project will combine modelling and psychophysics (possibly neuroimaging) to study the computational mechanisms underlying human perception. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city (should the pandemics permit). Our lab forms part of a larger interacting network of neuroscience labs in Barcelona ( http://www.barccsyn.org) Candidates should have a PhD in computational neuroscience, cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued. Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years. *APPLICATION:* Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil(a)gmail.com. Informal enquiries are welcome. *DEADLINE:* until the position is filled

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Postdoctoral associate positions in Decision Neuroscience and/or Computational Psychiatry (Virginia Tech)
by Pearl Chiu April 20, 2021

April 20, 2021

Dear All, We are seeking talented postdocs at Virginia Tech! Please see the description below for more information. Apologies for cross-posting; please feel free to distribute broadly. Thanks for considering, Pearl --- Postdoctoral Associate Positions in Decision Neuroscience and/or Computational Psychiatry Fralin Biomedical Research Institute at Virginia Tech Carilion Roanoke, Virginia Multiple openings are available immediately in the labs of Dr. Pearl Chiu and Dr. Brooks King-Casas at the Fralin Biomedical Research Institute at Virginia Tech Carilion (http://research.vtc.vt.edu/) Projects in the labs use a variety of human neuroscience methods (fMRI, electrochemistry, MEG) to examine motivated behavior and social influences on decision-making with additional methods adapted from behavioral & computational neuroscience, experimental economics, computational psychiatry, and psychology. Ongoing projects focus on processes in individuals with and without psychopathology. Qualified candidates with basic science backgrounds are welcome, and training in applied science will be provided; a subset of projects also involve multi-dimensional biomarker development. For interested candidates, the labs provide plentiful opportunities to examine how neurobehavioral anomalies may be quantified and rehabilitated in depression, substance dependence, post-traumatic stress, personality disorders, and at-risk adolescents. The labs are located in the Fralin Biomedical Research Institute at Virginia Tech Carilion in Roanoke, VA, just off the Blue Ridge Parkway. The FBRI provides full access to outstanding infrastructure, including three research-dedicated Siemens 3T scanners and a high-throughput computing cluster. The successful candidate will play a lead role in highly collaborative multidisciplinary scientific efforts. Minimum requirements for the position include: 1) a PhD in computational or cognitive neuroscience, engineering, psychology, experimental economics, or a related field; 2) facility with computational neuroscience, signal processing, Bayesian inference, or machine learning; and 3) demonstrated potential for excellence. Please forward a statement of interest and CV. Three letters of recommendation will be required of candidates under final consideration. Consideration of applications will begin immediately and will end when the positions are filled. Salary is competitive and will be commensurate with experience and qualifications. Virginia Tech Carilion is an Affirmative Action/Equal Opportunity employer and is committed to cultural diversity and compliance with the Americans with Disabilities Act. Send inquiries and materials to: Pearl Chiu, PhD and Brooks King-Casas, PhD chiup(a)vtc.vt.edu and bkcasas(a)vtc.vt.edu -- Pearl Chiu, PhD Associate Professor Fralin Biomedical Research Institute at Virginia Tech Carilion Department of Psychology, Virginia Tech VTC School of Medicine Salem VA Medical Center 2 Riverside Circle, R1110 Roanoke VA 24016 +1 540-526-2019 chiup(a)vtc.vt.edu

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CFP Frontiers Research Topic: Affective Shared Perception
by Pablo Vinicius Alves De Barros April 20, 2021

April 20, 2021

Call For Papers - Frontiers Research Topic: Affective Shared Perception I. Aim and Scope Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction. Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models. We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system. II. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception III. Submission - Abstract - 24 October 2020 - Paper Submission - 21 February 2021 IV. Guest Editors Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy Ginevra Castellano, Uppsala University, Uppsala, Sweden Yukie Nagai, The University of Tokyo, Bunkyō, Japan ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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2 postdoc positions in new SPIKEFERENCE project at AI department Donders Institute
by Justus H?botter April 20, 2021

April 20, 2021

The AI department at the Donders Institute has two postdoc positions available for the new SPIKEFERENCE project. The application deadline is 9 May 2021. The SPIKEFERENCE project, co-funded by the Human Brain Project (HBP), aims to control industrial robots with neuroscience-inspired algorithms providing adaptation and conditional hierarchical problem-solving. You will work in close collaboration with the supervisors (Pablo Lanillos, Serge Thill and Marcel van Gerven), other postdocs and a PhD student. You will join an exciting and vibrant young team of experts in ML, AI and neuromorphic computing, and profit from the newly created ELLIS unit in Nijmegen and the HBP community. Postdoc 1. Deep Learning profile - https://solliciteren.ru.nl/cgi-bin/share/og_pxs.pl?target=LI&recid=1148428 This postdoctoral researcher position is framed in a new promising line of research within neuroscience-inspired artificial intelligence linked to adaptation and improvisation. Starting from our current deep active inference models, you will develop novel algorithms for robot perception and action by combining ideas from state representation learning, variational inference and functional models of the brain. Postdoc 2. SpikingNN robot control profile - https://solliciteren.ru.nl/cgi-bin/share/og_pxs.pl?target=LI&recid=1148452 This postdoctoral researcher position will develop SNN models for robot control, inspired by our current deep active inference algorithms and SNN controllers, assess and validate them against current predictive coding SNNs models, and demonstrate the networks on the Neurorobotics platform, from a simple proof of concept in basic environments to initial control of a UR5e. Do you want to shape the future of robot AI? Join Us. Soon the SPIKEFERENCE website will be available with more info. The project will have two amazing external advisors: Karl Friston and Chris Eliasmith Link to the recently awarded project: https://www.ru.nl/donders/news/news/@1309322/ai-scientists-join-human-brain… Pablo Lanillos, Serge Thill, Marcel van Gerven. Dr. Pablo Lanillos www.therobotdecision.com<http://www.therobotdecision.com> Assistant professor in Cognitive Artificial Intelligence | AI Robotics Lab ELLIS Nijmegen Unit Donders Institute for Brain, Cognition and Behaviour, the Netherlands p.lanillos @ donders.ru.nl

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Announcing Neuromatch Academy courses for 2021!
by Mohamed Abdelhack April 19, 2021

April 19, 2021

Dear colleagues, We are excited to announce that Neuromatch Academy (NMA) will offer two courses this year: NMA-Computational Neuroscience: July 5-23, 2021 Content: https://github.com/NeuromatchAcademy/course-content NMA-Deep Learning: Aug 2-20, 2021 Content: https://github.com/NeuromatchAcademy/course-content-dl Applications for interactive students and teaching assistants will be open April 15 to May 7th 2021. Faculty interested in being project mentors can use the same portal to apply. Application Portal: https://portal.neuromatchacademy.org/ What is Neuromatch Academy? Neuromatch Academy (NMA) launched last year as a response to the COVID-19 pandemic. Our aimis to provide globally-accessible, high-quality, TA-supported training in computational techniques related to neuroscience. In 2020, NMA designed and ran a fully online 3-week Computational Neuroscience course for 1757 students with 191 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility. What’s in a course? Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. We have two tracks for students: interactive and observer. Accepted interactive students are placed into TA-led pods (groups) using the neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Interactive students receive personalized support as they work through hands-on tutorials and collaborate on course projects. Officially registered observer track students have full access to the materials, access to NMA course communications (e.g., Discord), and can choose to be matched with other observer track students What does it cost? We charge full-time students/academics a region adjusted small fee for the Interactive track in order to pay for TAs (fee waivers are available to those who need it, no questions asked). Students without an academic affiliation (i.e., industry applicants) are charged the full unsubsidized cost of the school, but can also inquire about waivers. Observer track participants have access to all the content at no cost, but are not placed in TA-led pods. Please see the website (https://academy.neuromatch.io/) for additional information, pre-course resources and volunteer opportunities! Warm Regards, Neuromatch Academy team Follow [@neuromatch](https://twitter.com/neuromatch) on twitter for regular updates!

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Announcing "Bernstein SmartSteps - Featuring Early Career Scientists"
by Anja Dorrn April 16, 2021

April 16, 2021

The Bernstein SmartSteps<https://www.bernstein-network.de/en/the-network/bernstein-smartsteps/aboutB…> series provides a unique platform for selected Early Career Scientists of the Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/en> to present their research projects to the scientific community. Once a month, starting in April 2021, one PhD candidate and one Postdoc who are ready to take their next (smart) step for their scientific career will discuss their research in an online seminar. Join the Bernstein SmartSteps Series as an audience if you are interested in cutting-edge computational neuroscience and want to watch out for new talents in the field. The live talks will be held in Zoom. A recording will be published in a separate collection on the Bernstein Vimeo Channel. Please register here<https://bit.ly/3e43j5s>, if you would like to join for the live talks. A link to the event in Zoom will be sent shortly before via email. Spring Talks 2021<https://bit.ly/BeSmSt> Thursday, April 29, 4 pm CEST * Gily Ginosar (Ulanovsky lab) | Weizmann Institut, Rehovot, Israel Locally-ordered representation of 3D space in the entorhinal cortex * Friedrich Schuessler (Barak lab) | Technion, Haifa, Israel Recurrent network dynamics lead to interference in sequential learning Thursday, May 20, 4 pm CEST * Claire Meissner-Bernard (Friedrich lab) | Friedrich Miescher Institut, Basel, Schweiz Co-tuned, balanced excitation and inhibition in olfactory memory networks * Samuel Eckmann (Gjorgjieva lab) | Max Planck Institut für Hirnforschung, Frankfurt, Deutschland A theory for Hebbian learning in recurrent E-I networks Thursday, June 10, 4 pm CEST * Paul Pfeiffer (Schreiber lab) | Humboldt Universität zu Berlin, Deutschland Capacitance clamp - artificial capacitance in biological neurons via dynamic clamp * Willem Wybo (Morrison lab) | Forschungszentrum Jülich, Deutschland Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CALL FOR WORKSHOPS AND TUTORIALS - 30th Annual Computational Neuroscience Meeting (CNS*2021)
by Martin Zapotocky April 15, 2021

April 15, 2021

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Workshops and Tutorials**at the 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2021 Meeting <https://www.cnsorg.org/cns-2021-online>. This is an excellent opportunity to reach the large online audience participating in this meeting (with over 1,000 attendees the previous year). Registration for tutorials and workshops is included in the main meeting registration. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org <mailto:workshops@cnsorg.org> or tutorials(a)cnsorg.org <mailto:tutorials@cnsorg.org>. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2021-call-for-workshops <https://www.cnsorg.org/cns-2021-call-for-workshops> Priority Deadline for proposals: *May 15* Jorge Mejias, Workshops Chair for CNS*2021 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2021-call-for-tutorials <https://www.cnsorg.org/cns-2021-call-for-tutorials> Deadline for proposals: *May 15* Anca Doloc-Mihu, Tutorials Chair for CNS*2021 -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Postdoc position available in PET/MRI at MGH, Harvard Medical School
by Wey, Hsiao-Ying April 15, 2021

April 15, 2021

Research Fellow in Simultaneous PET/MR Neuroimaging Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School We are seeking two postdoctoral fellows to join our team to pursue research in simultaneous PET/MR imaging in neuroscience applications. Our research focuses on developing and applying novel PET/MRI methods to investigate the neurochemical underpinnings of psychiatric and neurological disorders. We have projects and training opportunities in the following area: (1) Quantify neuroreceptor dynamics and function with pharmacological challenges in animal models and human subjects, with applications in pain, addiction, and psychiatric disorders; (2) Assess the impacts of neurovascular coupling on PET radiotracer kinetics, with applications in neurodegenerative disorders; and (3) Develop and evaluate novel PET radiotracers for first-in-human study and clinical applications. Our research programs are highly translational spanning from animal models, first-in-human studies, to clinical applications. The appointment as a Massachusetts General Hospital, Harvard Medical School research fellow will be for 1 year with possibility for extension based on performance and the availability of funding. The positions are available immediately. The successful candidate will be a highly motivated researcher with a desire to begin an independent career related to or involving neuroimaging. The position requires a Ph.D. degree in Medical Physics, Biomedical Engineering, Computer Science, Neuroscience or a related field. However, we will consider candidates of any scientific background. This position requires experience in analysis of medical imaging data. Experience with MRI or PET is a plus. Extremely strong candidates with minimal imaging experience are still encouraged to apply. Strong written and oral English communication skills are required. [cid:clip_image001.png]Additional Skills/Abilities/Competencies The job requires a candidate who is mature, responsible and flexible with excellent organizational and people skills. S/He must be able to work with in a fast-paced environment and should be able to problem-solve/troubleshoot, juggle and prioritize multiple tasks and seek assistance when appropriate. Application Interested applicants should send a cover letter describing research interests and experience, an updated CV, and names and contact information of three references to: Hsiao-Ying (Monica) Wey, Ph.D. (E-mail: hsiaoying.wey(a)mgh.harvard.edu) Please contain “Research Fellow Application: Your Name” in the e-mail subject line. The Massachusetts General Hospital and Harvard Medical School are equal opportunity and affirmative action employers. Best, Hsiao-Ying (Monica) ------ Hsiao-Ying (Monica) Wey, Ph.D. Assistant Professor of Radiology, Harvard Medical School Director of Translational Imaging, Chemical Neuroscience Program<https://chemneuro.martinos.org/> A. A. Martinos Center for Biomedical Imaging <https://www.martinos.org/>Institute for Innovation in Imaging (i3)<https://i3.mgh.harvard.edu/> Massachusetts General Hospital 149 Thirteenth Street, Room 10.110 Charlestown, MA 02129 Phone: (617) 724-1384 Email: hsiaoying.wey(a)mgh.harvard.edu Website: weylab.martinos.org

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Funding opportunities at NASA HRP solicitation Appendix E
by Reinoud Maex April 15, 2021

April 15, 2021

From: mailman-bounces(a)neuroinformatics.be <mailman-bounces(a)neuroinformatics.be> on behalf of Zawaski, Janice A. (JSC-SD211) <janice.zawaski(a)nasa.gov> Sent: 14 April 2021 04:21 To: comp-neuro-owner(a)neuroinformatics.be Cc: Elgart, S Robin (JSC-SK4)[WYLE LABORATORIES, INC.] Subject: NASA HRP solicitation Appendix E Dear Computational Neuro Owner, My name is Janice Zawaski and I am the Space Radiation Deputy Element Scientist within the NASA Human Research Program (HRP). HRP funds research with the goal of buying down the risks associated with spaceflight such as the effects of space radiation on the CNS. Currently, the NASA Human Research Program has an active solicitation, Appendix E Topic 2, that is focused on utilizing computational brain models to characterize the effects of space radiation exposure. Due to the limited time, Step-1s (1 page LOI) due April 30th, would it be possible for an administrator to send the information below to the Computation Neuroscience Mailing list? I have also included information about our omnibus opportunity Appendix F that is released three times a year. The NASA Human Research Program has released two funding opportunities for research relevant to the Space Radiation Element. Appendix E Flagship Opportunity: https://tinyurl.com/HERO20-HHP<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.c…> Space Radiation Topics: Topic 2. Computational Brain Modeling to Characterize the Effects of Space Radiation Exposure Specific Research Focus Area This topic seeks proposals that focus on identifying, based on historical data / prior research, biophysical parameters and structural features that are altered after radiation exposure and to substitute these into computational brain models in patterns reflecting radiation exposure. The model can then be used to interrogate how network activity is altered and its implications on information processing and network stability – i.e. a perturbation analysis. Network firing statistics, ability to maintain oscillations, etc. would represent some of the potential outcome measures. Due to high complexity of the research required, we encourage cross-discipline collaboration and multi-disciplinary teams, including but not limited to radiation biologists, radiation physicists, computational modelers, neuroscientists, etc. Research Platform Ground-based analogs, Computational. Proposers should discuss radiation parameters with the Space Radiation Element prior to proposal submission. Research proposing in vitro and/or in vivo irradiation experiments will be considered non-responsive. Required Deliverables Development of a computational 3D brain model of the hippocampus and/or prefrontal cortex able to characterize and quantify space radiation effects. Quantification, using the developed model, of space radiation exposure including:  Dose/Fluence Response Characterization  Effect of single ions and/or mixed fields (i.e. Proton and HZE) Desired Deliverable Identification of thresholds for failure modes. Validation of the in silico model based on the comparison to historical experimental behavioral results. Appendix F Omnibus Opportunity: https://tinyurl.com/HERO20-OMNIBUS3<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.c…> Three different categories * Applied Investigations * New Investigator Opportunity (**NEW**) * Early Career Investigator Opportunity (**NEW**) The goal of the Omnibus is to expedite progress in various research areas in a short period of time, NASA is requesting proposals for short-term investigations or technology development projects that provide innovative approaches to any of the risks and associated knowledge gaps contained in the Human Research Program (HRP) Integrated Research Plan (IRP). We strongly encourage researchers from all career stages to participate as part of our ongoing efforts to broaden the expertise of our research community. Additionally, please distribute to any colleagues that might be interested in responding. Step-1 proposals are due April 30 thru the NASA NSPIRES system (NSPIRES - NASA Research Opportunities Online (nasaprs.com)<https://nspires.nasaprs.com/external/>) which requires registration. The Element is limited in the specific feedback we can provide regarding proposals but please do not hesitate to contact us with questions. Note that eligibility is limited to USA institutions. Thank you! The Space Radiation Element Team jsc-hrp-space-radiation-element(a)mail.nasa.gov Thank you, Janice Janice Zawaski, Ph.D. Deputy Element Scientist Space Radiation – Human Research Program JSC B21/2147 | Houston, TX 77058

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PhD position / Bordeaux / Machine learning / Neuroscience
by Nicolas P. Rougier (inria) April 15, 2021

April 15, 2021

Dear colleagues, Inria (https://www.inria.fr/en) and the Institute of Neurodegenerative Diseases (https://www.imn-bordeaux.org/en/) is opening a PhD position in machine learning and neuroscience. Title: Bags O' Neurons Who: Nicolas P. Rougier (Inria) & Thomas Boraud (CNRS) When: 09/2021 to 09/2024 Where: Institute of Neurodegenerative Diseases, Bordeaux, France What: The objective of this PhD is to define the original blueprint of the decision-making network in vertebrate using the newt as a model. More information and application at: https://aap.u-bordeaux.fr/siaap/pub/appel/view/166 Nicolas Rougier https://github.com/rougier https://www.labri.fr/perso/nrougier

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Open position in Juelich, Germany: Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information
by Martina Reske April 14, 2021

April 14, 2021

Research data are the foundation of scientific discovery. Establishing the provenance of data, enabling its reusability and ensuring long-term availability increases the value, transparency and visibility of research, and opens possibilities for interdisciplinary research, e.g., through approaches from artificial intelligence. The Helmholtz Metadata Collaboration is an association-wide platform that develops and establishes novel concepts, services and workflows to annotate complex and heterogeneous research data with metadata throughout the various phases of acquisition and processing in support of the FAIR principles HMC will be anchored as a “Metadata Hub” within the Helmholtz research domain Information in order to engage and actively involve the scientific community. The Hub is coordinated by the Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) at Forschungszentrum Jülich. Within the Hub Information, the team for Data Science in Electro- and Optophysiology at the Institute of Neuroscience and Medicine (INM-10) headed by Dr. Michael Denker as part of the Statistical Neuroscience group of Prof. Sonja Grün (INM-6) will address the needs from the perspective of the neuroscience community in close coordination with its embedding in international initiatives (e.g., the “Human Brain Project”). The advertised position will link the activities of the INM-6 to the “Metadata Hub Information” when creating tools, establishing use cases, and working on standards for metadata and ontologies. We are looking to recruit a Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information Your Job: * Support of the Helmholtz-wide establishment of the HMC Hub Information at Forschungszentrum Jülich and in the domain of neuroscience * Organization, integration and utilization of metadata schemas within the neuroscience domain and metadata expert communities within the HMC and the Hub Information * (Co-)Development of domain-specific vocabularies, ontologies and metadata schemas in collaboration with colleagues in the Hub Information and across the HMC, as well as with international neuroscience initiatives (e.g., EBRAINS) * Design and development of conceptual solutions and software to facilitate metadata creation workflows and stimulate metadata recording in neuroscience laboratories * Execution of collaborative projects for implementations in the context of FAIR data principles, supported by further HMC computer scientists * Co-development and operation of a domain-specific consulting format for anchoring metadata management in the research centers and dissemination of HMC developed tools * Representing the HMC and its technologies at scientific seminars, conferences, during educational courses, and to the public * Close cooperation with scientists from neuroscience (e.g., in the context of the Bernstein Network) and building interactions to scientific and engineering disciplines, especially in questions of metadata and in the design of projects supported by HMC * Building competence networks with other data stewards and supporting computer scientists * Preparation of position papers, best practices and publications Your Profile: * Completed study (Master, Diploma) in natural sciences or engineering * PhD degree and neuroscience background is beneficial * Proven knowledge and programming experience in at least one high-level language as well as knowledge in script languages (preferably Python), experience in web-based services for managing software (version control, issue tracking, CI,…) * Practical experience with data / research data management and data analysis in neuroscience * Experience in applying and designing metadata standards is an advantage * High ability to work with an interdisciplinary, international team * Communication and teamwork skills as well as the ability to cooperate * Fluent in English, spoken and written * Ability to work independently, systematically and on one’s own responsibility * Good communication skills with developers and scientists * Enthusiasm for a highly topical subject with great scientific and social relevance * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative, dynamic and international team that conducts research at the frontiers of science, where your work will have noticeable impact on shaping the digitization of science * World class science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems * A large research campus in Jülich with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * An attractive workspace at the "Technologiezentrum Aachen" (TZA) close to Aachen downtown, for the cooperation with the HMC team there * Secure employment in a dynamic, international and interdisciplinary context * Comprehensive training courses and individual opportunities for personal and professional further development * Full-time position with the option of slightly reduced<https://www.hrecruiting.de/data/t5ChjatkIfdwmACO/Info_Vollzeitnah_en.pdf> working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 02.05.2021 via our online recruiting system<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…>. Reference number: 2021-136 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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EBRAINS Scientific Liaison Officer position at Jülich Supercomputing Centre, Germany
by Abigail Morrison April 14, 2021

April 14, 2021

Dear Colleagues, We have a position open for a Scientific Liaison Officer for EBRAINS at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. We are looking for candidates with excellent communication skills, a strong scientific background and computing skills to both promote EBRAINS in the neuroscience community, and drive development activities within the Human Brain Project to ensure the requirements of the community are being met. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-103-E… Closing date: 2 May 2021 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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30th Annual Computational Neuroscience Meeting (CNS*2021) - CALL FOR ABSTRACTS
by Martin Zapotocky April 13, 2021

April 13, 2021

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Abstracts* *30th Annual Computational Neuroscience Meeting (CNS*2021) - ONLINE** **July 3-7, 2021 *The main meeting begins the evening of Saturday July 3rd and runs through Tuesday July 7. It will be preceded by a day of tutorials (Saturday July 3rd) and followed by workshops (Tuesday July 7 mixed with the main meeting and Wednesday July 8 workshops only). *Keynote Speakers:* *Wolf Singer - **Max Plank Institute for Brain Research **Danielle Bassett - **Dept. of Bioengineering, University of Pennsylvania **Sonia Gruen - **Statistical Neuroscience, Forschungszentrum Juelich **Bill Bialek - **Dept. of Physics, Princeton University* Registration and abstract submission are open. *Abstract submission deadline: May 15th, 2021.* *Accept/reject **notification by June 1**^st ** **Talk/Poster **notification by June 15**^th * Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2021-online-registration <https://ocns.memberclicks.net/cns-2021-online-registration>Registration fees: https://ocns.memberclicks.net/cns-2021-registration-fees <https://ocns.memberclicks.net/cns-2021-registration-fees> Abstract Submission for Main Meeting: https://cns.confmaster.net/ <https://cns.confmaster.net/> For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2021-online <https://www.cnsorg.org/cns-2021-online> -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Call for participation in the Frontiers topic "Advances in brain functional and structural networks modeling via graph theory"
by farras abdelnour April 13, 2021

April 13, 2021

We would like to announce a special issue of Frontiers in Neuroscience titled “Advances in brain func/onal and structural networks modeling via graph theory,” https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio… The aims of this Research Topic are to advance the current understanding of the brain modeled as a mathematical network, develop new and advanced methods capturing the graph relationship between function and structure, propose new analysis methods of brain time series explicitly grounded on underlying structural network, and ultimately apply the resulting knowledge to brain disease and further foster the understanding of the brain’s underlying configuration and dynamics. We welcome submissions focusing on but not limited to the following topics: - Application of tools such as machine learning, deep learning and convolutional neural network to functional imaging data from fMRI to EEG to predict function from structure. - Study of graph properties of structural or functional networks in healthy and non-healthy brains. - Graph signal processing and harmonic analysis applied to brain networks. - Novel methods and modalities for constructing functional and structural networks. Farras Abdelnour Amy Kuceyeski Ashish Raj Yasser Iturria Medina Samuel Deslauriers-Gauthier -- Farras Abdelnour *Guest Associate Editor of the Frontiers Research Topic **"**Advances in brain functional and structural networks modeling via graph theory <https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio…>* *”* farras.abdelnour(a)gmail.com http://sacklerinstitute.academia.edu/FarrasAbdelnour http://www.abdelnour.photos

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Postdoc position in Litwin-Kumar group at Center for Theoretical Neuroscience, Columbia U.
by ashok litwin-kumar April 13, 2021

April 13, 2021

A Postdoctoral Research Scientist position is available in the group of Dr. Ashok Litwin-Kumar at Columbia’s Center for Theoretical Neuroscience. The postdoc will develop tools for the analysis of synapse-level wiring diagrams (“connectomes”) and theoretical methods for understanding how network structure identified by such datasets constrains the dynamics of task-optimized neural networks. The development of such methods is important and timely given the increasing availability and scale of connectomic data. The postdoc will be integrated into the large, vibrant neuroscience community at Columbia University of which the Center for Theoretical Neuroscience forms a key component. They will also have the opportunity to participate in strong existing collaborations with groups at Columbia, Janelia, Cambridge, and elsewhere focused on the generation and analysis of connectome data. Applicants are expected to have a PhD in Physics, Mathematics, Computer Science, Statistics, Neuroscience, Biology, or a related discipline and, preferably, experience in theoretical neuroscience or the statistical analysis of neuroscience data. The Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University brings together researchers from different scientific disciplines to transform our understanding of the mind and brain. In this highly interactive research environment, laboratories work together to gain critical insights into human health by exploring how the brain develops, performs, endures and recovers. The Zuckerman Institute is housed in the Jerome L. Greene Science Center, an architectural masterpiece on Columbia University’s Manhattanville campus. All appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. Applicants should apply through Columbia’s job portal: https://pa334.peopleadmin.com/postings/7453 Applications should include the following: 1. CV, including a list of publications 2. Statement of research interests 3. Three letters of reference (reference writers should send their letters directly to yao2107(a)columbia.edu) Columbia University is an Affirmative Action/Equal Opportunity employer. Columbia values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

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Statistical neuroscience postdoc in houston
by xaq pitkow April 13, 2021

April 13, 2021

Postdoctoral research position in Statistical Neuroscience POSITION: We seek a highly motivated postdoctoral research fellow for a collaborative team project building statistical models for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join a lively team led by theorists Krešimir Josić and Xaq Pitkow, and may work with collaborators Genevera Allen, Ankit Patel, Robert Rosenbaum, and Andreas Tolias as well as several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills and a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

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NEST Conference 2021 goes virtual — registration & call for contributions open
by Hans Ekkehard Plesser April 13, 2021

April 13, 2021

Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July, which offers the opportunity to deep-dive your own code with expert developers at your fingertips. Registration and submission of contributions are now open! We are inviting contributions to the conference, including plenary talks, "posters", breakout sessions and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 16 May 2021 — Deadline for submission of contributions and for NEST Initiative Membership applications 08 June 2021 — Notification of acceptance 21 June 2021 — Registration deadline 28 June 2021 — NEST Conference 2021 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Dennis Terhorst & Anne Elfgen -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Faculty Position at the University of Calgary
by Wilten Nicola April 13, 2021

April 13, 2021

The * Department of Computer Science* seeks an outstanding candidate for a tenure-track position at the * Assistant Professor level in the area of * * Fundamental Data Science* with an anticipated start date of September 1, 2021. The applicant must possess a PhD in Computer Science or a Data Science-related discipline at the time of appointment. The successful candidate must demonstrate evidence of a track record of impactful publications in high quality journals and conferences. The successful applicant needs to contribute to the Faculty's innovative teaching and research initiatives, including our highly successful professional graduate programs in Data Science & Analytics <https://science.ucalgary.ca/data-science>. The successful applicant must have demonstrated expertise in the latest big data processing approaches, data analysis, information presentation and visualization, machine learning, cloud computing, or distributed processing of sensors and computational devices. The candidate must have strong interests in multi-disciplinary approaches in exploring artificially intelligent systems as partners to augment scientific inquiries, support innovative exploration of ideas, and investigate how smart technologies and artificial intelligence can be used to benefit our society and help solve scientific, social, and environmental challenges. *The candidate in Fundamental Data Science ** needs to demonstrate evidence of foundational research in data science and machine-based analytics, thus creating the next generation of artificial intelligence systems (including but not limited to deep learning and explainable AI). We are also seeking applicants with demonstrated evidence of expertise in neuroscience-inspired artificial intelligence to investigate, for example, human/brain-computer interfaces, neuroscience-inspired machine learning architectures, and their applications. * The candidate must have strong interests in multi-disciplinary approaches in supporting the Faculty of Science's Data Science research initiatives and training programs, which we offer in partnership with the Cumming School of Medicine and the Haskayne School of Business. The candidate is expected to contribute to the University of Calgary’s * Growth through Focus * <https://ucalgary.ca/president/unstoppable-growth-through-focus?%2Fgrowth-th…> strategy to promote transdisciplinary scholarship and innovation and empower our students and communities to tackle society’s big problems. The candidate’s teaching obligations will be primarily in our professional graduate Data Science & Analytics <http://science.ucalgary.ca/data-science> programs. *Application Deadline: May 3, 2021 * Please apply online via the link: *https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-data-science-department-of-computer-science-faculty-of-science <https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-da…>.* A complete application should be submitted in a single pdf, and include the following: - Cover letter (1-2 pages) - Current curriculum vitae - Research Plan (1-3 pages) - Teaching Philosophy (1-2 pages) - Statement describing the candidate’s contributions, or potential contributions, to Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) *Applications can be addressed to: Dr. Christian Jacob, Head, Department of Computer Science* The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> in line with the foundational goals of * Eyes High <https://www.ucalgary.ca/eyeshigh>*, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. *The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No) * *Additional Information* To learn more about academic opportunities at the University of Calgary and all we have to offer, view our * Academic Careers website <http://careers.ucalgary.ca/pages/academic-careers>*. For more information about the Faculty of Science visit * Careers in the Faculty of Science <https://science.careers.ucalgary.ca/>.* *About the University of Calgary* The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university is making tremendous progress on its Eyes High journey to be recognized as one of Canada’s top five research universities, grounded in innovative learning and teaching and fully integrated with the community it both serves and leads. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit *ucalgary.ca <http://www.ucalgary.ca>*. *About Calgary, Alberta* Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.

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Don't miss the upcoming INCF Assembly on FAIR neuroscience!
by Helena Ledmyr April 12, 2021

April 12, 2021

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience, registration <https://neuroinformatics.incf.org/2021/registration> is now open! Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. *Please share this with your networks!* The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online next week! Best wishes, Helena and the INCF Team ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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NIH-funded course on multiscale modeling of brain circuits using NetPyNE/NEURON
by Salvador Dura April 11, 2021

April 11, 2021

Would you like to build a model of brain circuits but don’t know where to start? Want to test a hypothesis or find an explanation for your experimental observations? Our online hands-on course (May 17 to June 1, 2021) will provide you an accelerated introduction to theory, methods, and tools to build brain circuit models at multiple scales (molecular, cellular, network, system, behavior) using the NetPyNE<http://netpyne.org/> and NEURON tools. Our tutors will then work closely with you to help you develop your own model. See all the details and how to apply here: http://dura-bernal.org/netpyne-course-2021

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New FRONTIERS TOPIC: Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches
by Vassilis Cutsuridis April 10, 2021

April 10, 2021

Dear colleagues, please consider submitting to the new Frontiers Topic in Systems Neuroscience: https://www.frontiersin.org/research-topics/20768/memory-processes-in-media… Regards, --- Vassilis Cutsuridis, PhD, M.Sc, M.A. Senior Lecturer School of Computer Science University of Lincoln UK Tel: +44 (0) 1522 83 5701 Email: vcutsuridis(a)lincoln.ac.uk Web:http://staff.lincoln.ac.uk/vcutsuridis Personal website:http://www.vassiliscutsuridis.org/ "The greatest threat to our planet is the belief that someone else will save it" - Robert Swan "The important thing in science is not so much to obtain new facts as to discover new ways of thinking about them" — Sir William Lawrence Bragg, 1890–1971

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Assistant Professor Position in Cognitive Neurosciences of Language - University of Geneva Switzerland
by Narly Golestani April 9, 2021

April 9, 2021

Dear all, An Assistant Professor Position in Cognitive Neuroscience of Language is available at the University of Geneva, Switzerland. The position will be in the Psychology section of the Faculty of Psychology and Education Science https://www.unige.ch/fapse/, with access to Campus Biotech Facilities "https://www.campusbiotech.ch/en/node/320". This position is opened in the context of the NCCR (National Center of Research Competence) "Evolving Language" - http://www.snf.ch/en/researchinFocus/nccr/evolving-language/Pages/default.a…. The whole application process can be carried in English. It is required that the successful candidate acquire a working command of French within the first two years in the position. The application deadline is on May 19th, 2021 - please see https://jobs.unige.ch/www/wd_portal.show_job?p_web_site_id=1&p_web_page_id=… for more information. We would be most thankful if you could distribute widely. Thanks in advance, and best wishes, Narly Golestani. ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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2y PostDoc position on EEG analysis in Scuola Superiore Sant'Anna, Italy
by Alberto Mazzoni April 9, 2021

April 9, 2021

Dear all, I am looking with Prof. Silvestro Micera for a motivated postdoc with previous experience in EEG analysis for a 2y contract in the neural engineering area of the Institute of Biorobotics of the Scuola Superiore Sant Anna https://www.santannapisa.it/en/computational-neuroengineering-laboratory https://www.santannapisa.it/en/institute/biorobotics/translational-neural-e… Projects include Alzheimer diagnostics, robotic rehabilitation, neuroprosthetics, Impulse Control Disorders in Parkinson. Last but not least, Tuscany is a great place to live! Please spread the voice and contact me if interested. Thanks, best Alberto Mazzoni

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New FRONTIERS TOPIC: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY
by Stephen José Hanson April 9, 2021

April 9, 2021

Please considering submitting to the new Frontiers Topic in Human Neuroscience: https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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[CFP] MDPI Molecules (IF: 3.267, ISSN: 1420-3049) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu April 9, 2021

April 9, 2021

MDPI Molecules (IF: 3.267, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: 15 September 2021 --------------------------- Guest Editors Sasitharan Balasubramaniam, TSSG/Walton Institute, Waterford Institute of Technology (sasib(a)tssg.org) Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Ms. Emity Wang at: emity.wang(a)mdpi.com, molecules(a)mdpi.com

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