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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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