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NEST Conference 2023 – Save the date & registration
by Hans Ekkehard Plesser Feb. 27, 2023

Feb. 27, 2023

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2023. 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. We particularly encourage young scientists to participate in the conference! This year's conference will take place as a virtual event on 15-16 June 2023. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- 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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Call for applications - MSc Neuroscience, Uni Freiburg (Germany)
by Carsten Mehring Feb. 27, 2023

Feb. 27, 2023

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from multiple faculties and neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in neural circuits and behavior, computational neuroscience and neurotechnology. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science, medicine or engineering sciences. The deadline for applications for the October 2023 entry is the 31st of March 2023. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

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post-doc position on interacting neuronal assemblies at University of Genova
by Paolo Massobrio Feb. 27, 2023

Feb. 27, 2023

We are seeking highly motivated candidates for a post-doctoral position (1 year) at the Neuroengineering and NeuroTechnology Lab, <http://www.unige.it/> University of Genova, Genova, ITALY. The candidate will be involved in the funded PNRR Italian Project Mnesys (https://mnesys.eu/) a large neuroscience and neuropharmacology consortium coordinated by University of Genova which involves 25 partners. Among the topics of the project, the one which will involve the candidate deals with both computational and experimental staffs. In particular, the candidate will work with experimental models of brain-on-a-chip where different neuronal populations (e.g., cortical-hippocampal; cortical-thalamic; cortical-cerebellar, .) interact originating complex neuronal dynamics. Depending on the candidate attitude, she/he will be involved in the development of large-scale computational models of such interconnected neuronal networks or the development of advanced algorithms to infer functional and dynamical properties originated by the interactions of these ensembles. Requirements: Candidates must have: 1) a PhD in bioengineering, computational neuroscience, physics, engineering, mathematics or a related field; 2) Excellent programming skills in Python, Matlab, C++/C#, 3) a published record of research in the field of computational neuroscience and/or neuroengineering; 4) experience in electrophysiological data analysis and/or modeling. Deadline for submitting the application is March 13th, 2023. The selected candidates will be contacted for a further interview during the following week. The earliest possible starting date is April 1st, 2023, and the position will last for 1 year (possible extension). Our research group has a long tradition in studying the interactions between neuronal populations coupling to Micro-Electrode Arrays (MEAs). See for example the following papers: 1. F. Callegari, M. Brofiga, P. Massobrio. Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays. PLoS Computational Biology, 2023. 2. M. Brofiga, M. Pisano, M. Tedesco, A. Boccaccio, P. Massobrio. Functional inhibitory connections modulate the electrophysiological activity patterns of cortical-hippocampal ensembles, Cerebral Cortex, 2022. 3. P. Massobrio, V. Pasquale, S. Martinoia. Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks, Scientific Reports, 2015. 4. T. Kanagasabapathi, P. Massobrio, R. A. Barone, M. Tedesco, S. Martinoia, W. J. Wadman, M. M. J. Decre. Functional connectivity and dynamics of cortical-thalamic networks co-cultured in a dual compartment device. Journal of Neural Engineering, 2012. Our labs are located in Genova <https://www.visitgenoa.it/en/iat> , a beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Applications must include an extended CV, a motivation letter, the most relevant papers, and names and addresses of two references. If you are interested, please send your application to: Paolo Massobrio e-mail: paolo.massobrio(a)unige.it <mailto:paolo.massobrio@unige.it> Tel: +39-010-3352761 _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Neurotechnology Lab Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3352761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Research Assoc Opening
by Yuvaraj Rajamanickam Feb. 27, 2023

Feb. 27, 2023

Hi Everyone, I hope you are all doing well! I am looking for a research associate for my project titled "Automated Boredom Detection using Multimodal Physiological Signals." If you could share the information with potential candidates, I would appreciate it. For more information, please refer to the job advertisement link. https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Res… Regards YUVARAJ

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LiSNN Seminar: Felix Effenberger - A biology-inspired recurrent oscillator network for computations in high-dimensional state space
by Tristan Manfred Stöber Feb. 24, 2023

Feb. 24, 2023

Dear friends and colleagues, as part of the Learning in Spiking Neural Networks Seminar Series are we cordially inviting you to the following presentation. Speaker: Felix Effenberger - Ernst Strüngmann Institute, Frankfurt am Main, Germany Title: A biology-inspired recurrent oscillator network for computations in high-dimensional state space Abstract: Biological neuronal networks have the propensity to oscillate. However, it is unclear whether these oscillations are a mere byproduct of neuronal interactions or serve computational purposes. Therefore, we implemented hallmark features of the cerebral cortex in recurrent neuronal networks (RNNs) simulated in silico and examined their performance on common pattern recognition tasks after training with a gradient-based learning rule. We find that by configuring network nodes as damped harmonic oscillators (DHOs), performance is substantially improved over non-oscillating architectures and that the introduction of heterogeneous nodes, conduction delays, and network modularity further improved performance. We furthermore provide a proof of concept of how unsupervised Hebbian learning can work in such networks. Analyses of network activity illustrate how the nonlinear dynamics of coupled DHOs drive performance, and provide plausible a posteriori explanations for a number of physiological phenomena whose function so far has been elusive. Also check out the corresponding preprint [1]. Time: 3rd of March 2023 at 14:00 Central European Time. Venue: Hybrid meeting, both on Zoom [2] and in person at the Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Lecture Hall 100. Best wishes in the name of the GRADE Initiative Learning in Spiking Neural Networks, Tristan Stöber Ps: Videos of previous events can be found on our youtube channel [3] [1] https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1.abstract [2] https://ruhr-uni-bochum.zoom.us/my/tristanstoeber?pwd=YnZ2RlZVTUZPU2ZhNlFyR… [3] https://www.youtube.com/@lisnn.channel5458

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Postdoctoral position in individual differences of plasticity in blindness (Washington DC)
by Ella Striem-Amit Feb. 24, 2023

Feb. 24, 2023

*Postdoctoral researcher position in individual differences of plasticity in blindness* The Sensory and Motor Plasticity Lab, led by Ella Striem-Amit, is currently recruiting a highly motivated and dedicated Postdoctoral researcher to join their team at Georgetown University in Washington DC, USA. The SAMP lab explores brain organization and experience-dependent plasticity by studying people born blind, deaf, or without hands, using behavioral and fMRI state-of-the-art analytical techniques. The successful applicant will work on the topic of individual differences in plasticity in people born blind. Specifically, the project will test how brain plasticity in blindness may manifest differently in different individuals, and how these differences may account for their compensatory skills and use of assistive devices. For more information about the lab, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. Excellent understanding of and experience with fMRI and data analysis are required. Strong programming skills (Matlab/R/python, etc.) are also a requirement. The position is not limited to US citizens. The start date is September-October 2023, but flexible in exceptional circumstances. This position is available for up to 4 years. To apply, please email your CV and a brief statement of research interests to Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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Call for abstracts 'Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, 25th – 27th of October 2023 in Hanover, Herrenhausen castle - Germany
by Prof. Dr. Gordon Pipa Feb. 24, 2023

Feb. 24, 2023

We are happy announce the “Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, taking place from 25th – 27th of October 2023 in Hanover, Herrenhausen castle. Please see our website for information https://nnpc-conference.com/ . The general aim of the conference is to boost interdisciplinary transfer of ideas and networking in the wider fields of non-digital computing. NNPC 2023 is a successor to the 2018 conference “Cognitive Computing: Merging Concepts with Hardware” (https://nnpc-conference.com/2018/ ) whose very productive and motivating format will be kept. The event is generously supported by the Volkswagen Foundation. The conference will run in 5 single-track sessions. 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. To ensure maximum participation, all attendees are required to submit a 2-page abstract on a subject relating to one of the session themes. These abstracts are peer-reviewed. All accepted submissions will be granted an oral or poster presentation slot, and hosted publicly on the conference website upon agreement by the authors. Importantly, novelty is not essential as our aim is to make knowledge to diffuse across boundaries of the scientific domains involved. You find more detailed information about the aims, background, and thematic structure of this event in the Appendix. The submission form will be available on the conference website shortly. • Submission deadline: March 15th 2023. • Notify authors of acceptance: April 30th 2023. • Notify authors of type of contribution: May 14th 2023. We look forward to hearing from you and to meet in person to make NNPC 2023 a memorable success. With best regards, the Conference Chairs Conference Chairs: Daniel Brunner (photonics, neuromorphic architectures; CNRS) Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabrück) Damien Querlioz (Bioinspired Nanolectronics; Université Paris-Saclay France) Susan Stepney (unconventional computing; University of York, UK) Financial chair: Herbert Jaeger (machine learning, nonlinear dynamics; University of Groningen) Appendix: Aims, structure, venue, and funding of the conference Overview of aims and structure. Four years ago, the pioneering conference Cognitive Computing: Merging Concepts with Hardware assembled a wide-spanning multidisciplinary audience to share and merge insights about non-standard concepts and technologies of computing. At least four traditions were brought together: • Neuromorphic computing: “learn from the brain” • Natural computing: “look at nature’s complex systems” • Physical computing: “use physical effects directly” • Non-standard theoretical computer science: “think outside the Turing machine” Work in these fields has enormously picked up speed in the interim, but it is still a plurality of traditions carried by a multitude of communities. We still lack unified concepts, shared terminology, transferable methods and common goals. After four years, it is a good time to take stock of progress that has been made, and to re-invigorate the effort of connecting our dispersed findings into a joint vision. We do not yet know how we will ultimately name our emerging field of generalized “computing” science. For the time being we will refer to it by calling out its main traditional anchors: Neuromorphic, Natural and Physical Computing (NNPC). In five sessions with much breakout times for personal exchange, we will explore 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Each session will be commenced by a 1-hour invited keynotes and feature three 30-minute oral presentations selected from the submitted abstracts. In addition we will invite three 1-hour plenary lectures that cross the session themes. This leaves much time for breaks and extensive poster sessions, a condition that will be creating a productive atmosphere for personal networking. Here are the specifics of the five sessions: Session 1. Theory: new concepts and mathematical foundations. The physical substrates of NNPC will host dynamical phenomena that defy the principles of digital computing. Instead of relying on reproducible, stable binary switching, NNPC exploits dynamical processes that are stochastic, non-stationary, continuous-valued, un-clocked and spatially distributed. In order to enable a systematic, insightful design of NNPC systems, new conceptual frameworks and mathematical formalisms are needed. Suggestive topics: • Representing symbols, discrete data structures and operations in nonlinear dynamics • Non-Shannon definitions and measures of information • Emergent phenomena in collective dynamics • Nanoscale or collective phenomena which can serve as computational primitives • Entrainment of NNPC system dynamics to input streams • Temporally and spatially multiscale modeling of complex dynamics • Stabilization and self-calibration mechanisms • Life-long change: aging, continual learning, adaptation to changing tasks and environments • Adaptations of classical (deep) neural network architectures and algorithms to NNPC hardware • Integrative formal languages which unify selected aspects across, for example, stochastic processes, information theory, nonlinear dynamics, topology and graph theory, algebra or signals, systems and control • New kinds of formal logics to capture semantics of NNPC processes • Analyses of ultimate energy minimization or information density • Fundamental models of NNPC systems, analog to the Turing machine model for digital computing Session 2. Physical substrates: materials, devices, micro-architectures. Biological brains are so efficient because evolution has found ways to exploit a host of physiological and physical effects which neuronal tissue can offer. Extending this idea of “exploiting the physics” beyond brains, the strategy of what has been called “physical computing” or “in-materio computing” is to find ways to exploit for NNPC whatever physics can offer, opening up for effects that are inaccessible to neurophysiological substrates (and accessible to engineering and fabrication). Suggestive topics: • Physical phenomena supporting computing provided by nano- or microscale devices, across physical domains (electronic, photonic, spintronic, mechanic, chemical, etc.) • Exploiting quantum effects in other ways than in classical quantum computing (e.g. quantum reservoirs) • Spatial structuring in thin films or 3D substrates, boundary formation • Nano- or microscale phase transitions and percolation • Small-scale physical structures with heterogeneous or self-organizing phase-change materials • Non-wire-bound information transfer in physical media through diffusion, fields, soliton or wave propagation, or mechanical transmission • Novel devices with non-digital, modulatable input-output transfer functions • Phenomena and devices with slow-fast dynamics where the slow dynamics can be used for learning or adaptation • Analyses and characterization of computationally potentially relevant properties of materials and devices • Development of “practically useful” materials and devices: long endurance, operation at room temperature, fabricability • Functional ensembles of novel devices in the spirit of neural microcircuits or elementary integrated circuits • Progress in currently investigated neuromorphic architectures (memristor crossbars, spike routing, analog neuron and synapse circuits) Session 3. Guides from nature: neuroscience, theoretical biology, complex systems. Biological brains are currently cited as the living proof that highly energy-efficient and “cognitive” computing beyond the limits of the digital paradigm are possible. This has led to the current dominance of the term “neuromorphic” when one wants to point to alternative computing technologies. However, there is also a long tradition of other non-digital computing proposals, which have been referred to by names like natural / physical / unconventional computing, and which have been pursued in various niches of CS, AI, Alife, theoretical physics and biology, and elsewhere. Our conference gives a forum for all alternative computing paradigms, neuromorphic and other sorts of “unconventional”. Suggested topics: • Learning from the brain: neuro-computational principles, circuits, architectures, and control flows: the neural engineering framework, neural field theory, neural sampling and others • Current developments in DNA computing, swarm intelligence, fungus computing, pattern theory, stochastic and hyperdimensional computing, membrane computing, immune systems, reservoir computing and others • Neuro-plausible learning and optimization concepts, potentially leveraging self-organization and enabling features like continuous learning, learning without forgetting • How do humans / animals build their world models? • Strategies from nature for system robustness (theoretical biology, neuroscience, ecology) • Pre-rational intelligence in animals from amoeba to insects to pigeons, zebra finches and rats (and the pre-rational information processing in humans, too) • Computational interpretations of self-organization in complex natural systems • ALife views on computing systems Session 4. Scaling up: modular architectures, complex data structures and processes. A key factor that empowered digital computing to become a world-changing technology is its scalability. Starting from concatenating bits into bitstrings and Boolean gates into Boolean circuits, arbitrarily compounded hierarchical data structures and program flows can be designed according to well-understood compositional principles. General principles of compositionality for non-symbolic information representations and arbitrarily extensible processing hierarchies for NNPC await their discovery. On the hardware side, only a few proposals for extensible multi-module neuromorphic architectures have been proposed (SpiNNaker immediately comes to mind) which present technical solutions for neural signal routing but are still limited with regards to functional and architectural diversity of the joinable modules. From a use case view, compositional principles for NNPC task specifications are likewise still restricted to specific, limited computational paradigms (as in the neural engineering framework or Act-R). Progress in general principles for scaling systems to arbitrary complexity is a key condition for the long-term sustainability of NNPC. Suggested topics: • Concepts for compositional non-symbolic “data” and information representation • Concepts for compositional procedure hierarchies • Synchronization mechanisms in unclocked parallel computing systems • Cognitive architectures, hierarchical control principles, autonomous agent models • Configuration principles for multi-module neural network architectures • Bidirectional top-down and bottom-up processing in deep neural (and other) architectures • Unclocked FPGA demonstrations • Routing and addressing mechanisms – formal and in hardware • Fundamental questions of hardware topology and physical integration to enable scalability of resources (energy, space, heat deposition, etc.) • High-capacity, richly structured long-term memory • Lifelong learning in NNPC systems • Growing hardware systems • Multi-modal sensor signal processing in non-digital neuromorphic systems • Progress in large-scale neuromorphic systems • Distributed energy supply in NNPC systems • Distributed input and output channeling to/from NNPC systems • NNPC-suited communication formats and networking solutions • Deep spiking neural networks and multi-module recurrent neural networks suitable for analog hardware realizations • Options and limits of commercial fabricability • Hybrid digital-NNPC systems aiming for scalable complexity Session 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Commercially or societally relevant scenarios for NNPC applications are still confined to niches. This is certainly due, on the one hand, to the early stage of NNPC research which is still mostly foundational and academic. But on the other hand, in our search for broad application scenarios we might be partly blinded by the urge to replace digital solutions in order to outwit the “End of Moore’s Law” and save energy. While this original motivation will remain strong and continue to call for NNPC solutions, other NNPC systems may turn out to be so different from digital systems that they cannot simply be plugged in where the latter are to be phased out. To the extent that NNPC systems become more brain-like (self-organizing, aging, with individual learning histories) they also become less computer-like. They may not be programmable in the accustomed way but need to be trained; they may not be identically reproducible but individual; they may not be re-bootable from some starting state but always-on (and might “die” if cut from energy supply). On the plus side, besides their energy efficiency they may boast an admirable robustness against variable or noisy input and physical damage; realize enormous data throughput rates; be bio-implantable; find creative un-premediated solutions for their tasks, and last but not least they may be un-hackable due to their individuality. All of this requires a thorough re-thinking of what an information-processing system is, what it can be used for, or what it can be doing all on its own. This is an interdisciplinary agenda which involves not only engineers but also psychologists, sociologists, economists and philosophers. Suggested topics: • Progress in currently discussed application scenarios: optical computing for communication systems, implantable neurochips and neuroprosthetics, ultra-low power or even energy harvesting edge computing, sensing and control for compliant or soft robots, analog/spiking adaptations of deep learning techniques, ubiquitous sensing, and more. • Methods to “make NNPC systems do what we want”: generalized concepts of “programming”, physical and functional configuration methods, training and scaffolding schemes, evolutionary optimization • Engineering pipelines: how would they differ from the digital system development routines? • How to “use” intelligent autonomous agents (avatars, game characters, robots) • Explainable NNPC: from formal analyses of trained distributed systems to accountability ethics of autonomous, individual artificial agents • Philosophy of engineering: a concept shift from reproducible, controllable tools to individual agents and personal companions • Interdisciplinary education: academic study programs, web services, funding initiatives Conference venue. The venue, the Castle of Herrenhausen (https://www.schloss-herrenhausen.de/en/home/ ), a heritage of the Kings of Hannover – who for a long historical period were at the same time Kings of England – was transformed into an award-winning center for scientific events and is today administered and maintained through the Volkswagen Foundation. The Herrenhausen Gardens stretch across hectares of classical French gardening. Why the Volkswagen Foundation supports NNPC. All funding is provided by the Volkswagen Foundation (https://www.volkswagenstiftung.de/en ), Germany’s largest private organization for the advancement of scientific research. The funding covers the royal conference venue, excellent catering, travel and accommodation for all speakers and the session chairs, and fee waivers for every participant. There is a reason for this generous commitment. The Foundation focuses its investments on a small number of research fields across all sciences that are (i) interdisciplinary and in a nascent stadium, (ii) not yet widely funded by industry or public agencies, (iii) show a potential for foundational discoveries and long-term societal benefits. One of these foci identified by the Foundation coincides with the themes of NNPC: non-digital computing technologies, including but not limited to neuromorphic computing, across all levels from materials through devices, microchip technologies, new computing paradigms, user-machine interaction scenarios, to the philosophy of computing and societal impact. The 2018 conference “Cognitive Computing” was a trigger for the Foundation to adopt this theme. Within this theme, the Foundation supports a spectrum of activities, among them our 2023 conference.

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Postdoctoral positions in learning and pain modulation, NIH
by Atlas, Lauren (NIH/NCCIH) [E] Feb. 23, 2023

Feb. 23, 2023

Dr. Lauren Atlas’s laboratory<https://www.nccih.nih.gov/research/intramural/section-on-affective-neurosci…> is recruiting one to two postdoctoral researchers with expertise in fMRI and affective science to join the Section on Affective Neuroscience and Pain (ANP) to lead new projects on the psychological modulation of pain and emotional experience. Dr. Atlas’s lab is part of the National Center for Complementary and Integrative Health’s (NCCIH) intramural research program<https://www.nccih.nih.gov/research/intramural>, and affiliated with the Intramural Research Programs of the National Institute of Mental Health (NIMH) and National Institute on Drug Abuse (NIDA). Learn more about the NIH Intramural Training Program.<https://www.training.nih.gov/programs> Research in the ANP Lab focuses on the mechanisms by which expectations, learning, and other cognitive and affective factors influence pain, emotion, and clinical outcomes. We combine approaches from experimental psychology, neuroimaging, psychophysiology, and computational modeling to investigate pain and emotional experience in healthy individuals as well as individuals with chronic pain and/or affective disorders. We are particularly interested in the intersection of appetitive and aversive learning, how psychosocial factors influence pain and clinical outcomes, and questions motivated by pain’s central role in the opioid crisis. Postdoctoral researchers are expected to develop their own projects, with guidance, and to collaborate with other researchers in the lab as well as in the broader NIH community. We are looking for someone to spearhead new projects using high field imaging (7T-FMRI) to examine pain and perception across domains and/or using simultaneous PET-MRI to study the role of dopamine and opioids in pain modulation. Clinical collaborations to look at the intersection between pain, mental health, and/or substance use disorders are also possible. The candidate should have a strong background in psychology and neuroscience and must have received a Ph.D. in a relevant field by the time of appointment. Candidates with successful publications in the fields of pain, emotion, and/or computational modeling are encouraged to apply. Postdoctoral positions require experience with 1) design of behavioral and fMRI experiments, 2) analysis of fMRI data using statistical parametric mapping packages (SPM, AFNI, etc.), and 3) programming and analysis skills in MATLAB, R, and/or Python. These requirements will be flexible for candidates with clinical experience or experience in psychopharmacology, as we are currently planning clinical collaborations. Appointments and salary are commensurate with research experience and accomplishments (www.training.nih.gov/programs/postdoc_irp<http://www.training.nih.gov/programs/postdoc_irp>). The candidate will be supported with the excellent intramural NIH fellowship in a stimulating and interactive research environment at NIH. NIH has exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS. Our lab is fully funded with dedicated weekly scan time, a full-time data analyst, and the opportunity to work alongside some of the world’s foremost fMRI experts. Training in advanced imaging and other techniques is available, as are courses in grant writing and career development. Trainees can also apply to be fellows in the Center on Compulsive Behaviors<https://research.ninds.nih.gov/researchers/center-compulsive-behaviors-ccb#….>, a trans-NIH fellowship program. This is an exciting and collaborative environment for those interested in pursuing a career in clinical or cognitive neuroscience. How To Apply Applicants should submit a CV, a brief description of research interests and career goals, and the names of three references to Dr. Lauren Atlas<mailto:lauren.atlas@nih.gov> (Investigator/Chief, Section on Affective Neuroscience and Pain, NCCIH/NIMH/NIDA, NIH). Applications will be reviewed on a rolling basis. Applications will be accepted until the position is filled. The Department of Health and Human Services and NIH are equal opportunity employers committed to equity, diversity, and inclusion.

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Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany
by Pavlovic, Maria Feb. 23, 2023

Feb. 23, 2023

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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Research Associate on project “A technology to extract memories from the human brain”
by Howard Bowman Feb. 23, 2023

Feb. 23, 2023

POSTDOC RESEARCH ASSOCIATE ON PROJECT “A TECHNOLOGY TO EXTRACT MEMORIES FROM THE HUMAN BRAIN USING EFIT6 AND THE FRINGE-P3 BRAINWAVE METHOD” School of Psychology and Centre for Human Brain Health, University of Birmingham, UK. We are looking for a researcher with neuroimaging and machine learning expertise. The Fringe-P3 method (Bowman et al, 2013; Alsufyani et al, 2019) developed out of a line of theoretical work focussed on temporal attention and perception on the fringe of awareness (Bowman & Wyble, 2007; Avilés et al, 2020; Bowman & Avilés, 2022). The method provides a means to present a large number of visual stimuli very rapidly to a participant’s brain and then determine with EEG, which of those stimuli the participant finds salient. A very simple form of salience that we look at is familiarity, with stimuli that are familiar breaking into participants’ awareness and thereby generating a P3 (or a variant of it), which we detect with EEG. The method has been proposed as a deception detector, specifically, a (countermeasures-resistant) concealed-knowledge test (Bowman et al, 2013, 2014; Alsufyani et al, 2019; Harris et al, 2021). Our recent Innovate UK project with the company Visionmetric (https://visionmetric.com/) used the Fringe-P3 method to provide a prototype system for extracting the memory of a face. This is done by generating a facial morph that is a weighted average of the faces presented in rapid serial visual presentation, with weight determined by the strength of the P3 that face generated. A demo of the system developed in this project can be seen here: https://www.cs.kent.ac.uk/people/staff/hb5/EEGFIT_prototype_demo_cut.mp4 The Research Associate will be employed on a recently awarded EPSRC Impact Acceleration account at the University of Birmingham, which, with Visionmetric, will improve the efficiency with which P3s are detected with machine learning and will also explore alternative detection modalities, such as pupil dilation. The position is for one year in the first instance, but with the possibility of follow-on funding. Direct enquiries to the Principal Investigator, Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk>). Professor Howard Bowman (Psychology, University of Birmingham; Computing, University of Kent and Wellcome Centre for Human Neuroimaging, UCL [honorary]). To apply for this job, search for it on the following site, https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… Alsufyani, A., Hajilou, O., Zoumpoulaki, A., Filetti, M., Alsufyani, H., Solomon, C. J., ... & Bowman, H. (2019). Breakthrough percepts of famous faces. Psychophysiology, 56(1). Avilés, A., Bowman, H., & Wyble, B. (2020). On the limits of evidence accumulation of the preconscious percept. Cognition, 195, 104080. Bowman, H., & Avilés, A. (2022). No Subliminal Memory for Spaced Repeated Images in Rapid-Serial-Visual-Presentation Streams. Psychological Science, 33(11), 1959-1965. Bowman, H., Filetti, M., Janssen, D., Su, L., Alsufyani, A., & Wyble, B. (2013). Subliminal salience search illustrated: EEG identity and deception detection on the fringe of awareness. PLoS One, 8(1). Bowman, H., Filetti, M., Alsufyani, A., Janssen, D., & Su, L. (2014). Countering countermeasures: Detecting identity lies by detecting conscious breakthrough. PloS one, 9(3), e90595. Bowman, H., & Wyble, B. (2007). The simultaneous type, serial token model of temporal attention and working memory. Psychological review, 114(1), 38. Harris, K., Miller, C., Jose, B., Beech, A., Woodhams, J., & Bowman, H. (2021). Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness. European Journal of Neuroscience, 53(3), 895-901. -------------------------------------------- Professor Howard Bowman (PhD) Professor of Cognition & Logic in Computing at Uni Kent, and Professor of Cognitive Neuroscience in Psychology at Uni Birmingham (honorary at Wellcome Centre for Human Neuroimaging, University College London) Centre for Cognitive Neuroscience and Cognitive Systems and the School of Computing, University of Kent at Canterbury, Canterbury, Kent, CT2 7NF, UK email: H.Bowman(a)kent.ac.uk<mailto:H.Bowman@kent.ac.uk> WWW: http://www.cs.kent.ac.uk/people/staff/hb5/ School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

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Open rank faculty positions at the intersection of biological and artificial intelligence at Indiana University
by Zoran Tiganj Feb. 22, 2023

Feb. 22, 2023

The Luddy School of Informatics, Computing, and Engineering (SICE), the Department of Psychological & Brain Sciences (PBS), and the School of Optometry (IUSO) at Indiana University (IU) Bloomington invite applications for two faculty positions to begin on August 1, 2023. We seek applicants working at the intersection of biological and artificial intelligence, with a focus on reverse engineering the computational foundations of biological intelligence using tools from machine learning and artificial intelligence. The positions are part of a new initiative—Reverse Engineering the Foundations of Intelligence—that aims to transform our understanding of human and animal intelligence. IU has long been an international leader in discussions of how brains, bodies, and environments contribute to intelligent behavior. This initiative is designed to build on these strengths and propel IU to the forefront of research at the interaction of biological and artificial intelligence. The positions are open at the full and associate professor levels, but exceptional candidates at the assistant professor level or in industry may be considered. We seek dynamic individuals with an international reputation and experience working in rapidly expanding & intellectually diverse interdisciplinary areas. We also seek individuals who excel working in team environments and whose research, teaching, and service will contribute to IU’s commitment to diversity, equity, and inclusion. Minimum Qualifications: A PhD in psychology, neuroscience, cognitive science, computer science, or a related field, and a distinguished record of scholarship, teaching, and professional experience appropriate for a tenured professorship at IU Bloomington. Applications received by March 2, 2023 will receive full consideration; however, the search will remain open until suitable candidates are found. Review of applications will begin immediately and continue until the positions are filled. Candidates should review application requirements, learn more about SICE, PBS, IUSO, and employee benefits, and apply online at: https://indiana.peopleadmin.com/postings/16752 Questions, nominations, and confidential inquiries may be sent to Justin Wood (woodjn(a)indiana.edu) or Rowan Candy (rcandy(a)indiana.edu) Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Before a conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate’s eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.

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Postdoctoral opportunity in Janssen Pharmaceuticals
by Rouhollah Abdollahi Feb. 21, 2023

Feb. 21, 2023

We have a great opportunity for postdoctoral position in our team in Janssen pharmaceuticals, companies of Johnson & Johnson, working on neuroimaging projects. The location of the candidate should be Europe or USA, but remote option also can be arranged. https://jobs.jnj.com/en/jobs/2306106495w/post-doctoral-scientist-data-scien… -- Sent from Gmail Mobile

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Software Highlight: Kay Robbins: HED (Hierarchical Event Descriptors)
by Ankur Sinha Feb. 21, 2023

Feb. 21, 2023

Dear all, Apologies for the cross-posts. Please join the INCF/OCNS Software Working Group for our next Software Highlight session: Kay Robbins[0] will introduce and discuss HED, a practical system for describing an experiment using an analysis-ready framework. https://ocns.github.io/SoftwareWG/2023/02/17/software-highlight-kay-robbins… - Date: February 28, 2023, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]). - Zoom (link): https://ucl.zoom.us/j/99321986413?pwd=OUdFTlJ3NVloUmJ1U0Q3WE9vRERMZz09 The abstract for the talk is below: In human neuroimaging experiments, a record of what a participant experiences together with a clear understanding of the participant (task) intent are key to interpreting recorded brain dynamics. HED (Hierarchical Event Descriptors, https://www.hedtags.org) annotations and supporting infrastructure can provide human-understandable machine-actionable descriptions of events experienced during laboratory and/or real-world time series recordings. HED, which is well-integrated into BIDS (Brain Imaging Data Structure) has an ecosystem of tools supporting researchers at various stages including data acquisition, annotation, sharing, and analysis. This talk will describe HED principles, focusing on basic representations of an experiment and its design. Various tools in the HED ecosystem to support search, summary and analysis will be introduced and demonstrated. Finally, we’ll discuss how tool developers can leverage the HED infrastructure to build advanced analysis tools capable of automated analysis in support of machine learning. HED is an entirely open-source project, and the HED Working Group welcomes contributors and contributions. Papers and resources: - Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811921010387 - Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics. https://link.springer.com/article/10.1007/s12021-021-09537-4 - Resources: https://www.hed-resources.org - GitHub organization: https://github.com/hed-standard [0] https://www.utsa.edu/sciences/computer-science/faculty/KayRobbins.html [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highligh… [2] https://ocns.github.io/SoftwareWG/extras/ics/20230228-kay-robbins-hed.ics On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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PhD position in System Neuroscience
by Shahidi, Neda Feb. 21, 2023

Feb. 21, 2023

Dear all, I have a new Ph.D. position in System Neuroscience at the University of Göttingen and the German Primate Center in Göttingen. We will use a new paradigm in studying neural correlates of decision-making in monkeys: The animals in our study will make decisions that are more natural to them, less repetitive, and require less training. Also, we will use chronic electrophysiology enabling us to simultaneously probe many neurons using a technology that is more or less plug-and-play. That means less animal training and less neuron-fishing. However, because there is nothing like a free lunch, this comes with a cost: Analyzing the data will be way more complicated, compared to a classical experiment! Therefore, the ideal candidate is proficient in data analysis and coding, but also enthusiastic to work with monkeys (Do you enjoy teaching your dog a trick or two? then you will also enjoy working with our monkeys). Please find more information here: https://www.uni-goettingen.de/en/644546.html?filters={%22vollzeit%22:[],%22…<https://www.uni-goettingen.de/en/644546.html?filters=%7B%22vollzeit%22:%5B%…> and please feel free to spread the word. Kind Regards Neda

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Postdoc position in bio-inspired AI at University of Sussex
by Thomas Nowotny Feb. 20, 2023

Feb. 20, 2023

Dear colleagues, We are looking for a post-doctoral research fellow to join our Sussex team working on bio-inspired AI and computational modelling of insect behaviour and learning. You will join a BBSRC funded project called “Emergent embodied cognition in shallow neural networks”. https://www.sussex.ac.uk/about/jobs/research-fellow-ref-10735 Your primary role will be to develop simulations of learning problems that insects face such as flower learning or navigation. Insect learning occurs rapidly within shallow neural networks. This is possible because learning is an active process emerging from the interaction of evolved brains, sensory systems and behaviours. We will explore how behavioural strategies and specialised sensors interact with learning success. You will work under the supervision of Prof Paul Graham (Sussex, School of Life Sciences) and Professors Andrew Philippides and Thomas Nowotny (Sussex, Department of Informatics). You will join an active team of research fellows and PhD students working on similar topics. Closing date: 09 March 2023. Applications must be received by midnight (UK) Expected interview date: to be confirmed Expected start date: early April 2023 Please contact Prof Paul Graham, p.r.graham(a)sussex.ac.uk, for informal enquiries. With regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> [../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny] I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

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Fast Lane to Slow Science – Online panel discussion to celebrate International Women's Month – 20 March 2023, 13h GMT / 14h CET
by Sidarus, Nura Feb. 20, 2023

Feb. 20, 2023

Hi, Can you please advertise the following event. Thank you in advance, Nura Sidarus. Fast Lane to Slow Science Online panel discussion to celebrate International Women's Month Monday, 20th March 2023 – 13h GMT / 14h CET You are warmly invited to join us in celebrating International Women's Month with an online panel discussion on "Fast Lane to Slow Science". If "fast science is bad for scientists and bad for science" (Frith, TiCS, 2019), how can we move towards a Slow Science? What are the implications for the evaluation of science and scientists? And for equity and diversity? Join our panel of world leading scientists, who have been shaping science, science evaluation and science policy in Europe, to discuss these questions and more: * Professor Dame Uta Frith, Institute of Cognitive Neuroscience, University College London, UK. Author of "Fast Lane to Slow Science<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.…>" (TiCS, 2019). * Professor Sylvie Lorente, College of Engineering, Villanova University, USA. Member of the ERC Scientific Council. * Professor Toma Susi, Faculty of Physics, University of Vienna, Austria. Member of the Steering Board of the Coalition for Advancing Research Assessment. Details and registration: https://www.eventbrite.co.uk/e/womens-month-celebration-panel-discussion-on…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Organised and chaired by Dr Nura Sidarus, Royal Holloway University of London, and facilitated by Dr María Jesús Maraver, University of Granada. Conceived by Women in Cognitive Science - Europe<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…> & supported by Department of Psychology, Royal Holloway, University of London<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…>. This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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3rd International Workshop On Neurodynamics (NDy’23) June 14-17, 2023 Castro-Urdiales, Spain
by bgutkin Feb. 20, 2023

Feb. 20, 2023

> 3rd International Workshop On Neurodynamics (NDy’23) > June 14-17, 2023 > Castro-Urdiales, Spain > > http://cody.unizar.es/events/neurodynamics23/ <http://cody.unizar.es/events/neurodynamics23/> > > *** Scientific committee *** > Roberto Barrio, Universidad de Zaragoza, Spain. > Stephen Coombes, University of Nottingham, UK. > Boris Gutkin, Ecole Normale Superieure, Paris. France. > Santiago Ibañez, Universidad de Oviedo, Spain. > Valeri Makarov, Universidad Complutense de Madrid, Spain. > Krasimira Tsaneva-Atanasova, University of Exeter, UK. > > Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. > > The aim of this Third Workshop on Neurodynamics, NDy’23 (first edition and second were NDy’14 and NDy'18) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,…) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,…). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy’23. > > Important dates: > Short abstract/Title submission deadline 31st March 2023 > Payment deadline (reduced fee, 240 Euros) 14th April 2023 > Payment deadline (complete fee, 290 Euros) 5 th May 2023 > ******************************** > > > > >

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Postdoc position in Computational Biophysics at Göttingen Campus Institute for Dynamics of Biological Networks
by von Behren, Christina Feb. 20, 2023

Feb. 20, 2023

Dear Scientists, We would like to draw your attention to the postdoc opportunity below. The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/en/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology". We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references by March 19, 2023 to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). Georg-August-Universität Göttingen, Göttingen Campus Institute for Dynamics of Biological Networks, Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany

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[CFP, Deadline: March 15] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs
by Murat Kuşcu Feb. 17, 2023

Feb. 17, 2023

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative nanonetworks of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 15 March 2023 First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

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Registration open for ENCODS 2023
by Delamare, Geoffroy Feb. 17, 2023

Feb. 17, 2023

Dear fellow students, This year the ENCODS conference will take place again! ENCODS 2023 Faro, Portugal, on 01-02 May 2023! The European Neuroscience Conference by Doctoral Students (ENCODS) is organised by PhD students for PhD students. During the two days you have the opportunity to present your current work in the form of a poster or talk to an international audience. This year's theme is "Labcoats and Laptops: Neuroscience through different lenses", and we're aiming to bring together different disciplines of neuroscience and how we can all work together. In which area of neuroscience do you work? We are sure that your work is a great match for our topic and will contribute to an exciting and interesting dialogue. Here are the important facts: The registration fee is 100 € for FENS members and students at the University of Algarve and 120 € for non-FENS members. Food is provided, we have organised a catering service for you. We are also happy to help you find suitable accommodation and organise a bus transport from the city centre to the venue. University of Algarve: Gambelas Campus Faro, Portugal Registration ends on the 3rd of March!! Register here: https://www.fens.org/news-activities/fens-and-societies-calendar/training-e… https://www.fens.org/careers/networks/encods 17th of March 2023: Arrival of the acceptance letters 31st of March 2023: Deadline to pay the registration fees Follow us across our social media platforms using this link: https://linktr.ee/encods2023 We are very much looking forward to seeing you at ENCODS!!! Your ENCODS 2023 Organizing Committee

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2 PhD positions in Computational Neuroscience at INRIA, Lyon, France, starting on September 2023
by Hugues Berry Feb. 16, 2023

Feb. 16, 2023

Dear all, 2 PhD positions in computational neuroscience are available in the AIstroSight team, INRIA, Lyon, France (https://team.inria.fr/aistrosight/) starting on September 2023. Our interdisciplinary team aims at developing innovative numerical methods for the search of new drug candidates to treat brain diseases, targeting neurons as well as glial cells. We value diversity, trust, growth, equity and creativity. - Project 1: Modeling compartmentalized second messenger networks in the retinal growth cones. This project is part of an ANR grant, in collaboration with Xavier Nicol's lab in Paris: http://xaviernicol.toile-libre.org/ - Project 2: Modeling the neurovascular unit. This project will consist in developing a mechanistic model of astrocytic endfeet in the context of neurovascular coupling. The project will be carried out in strong collaboration with neuroscientists working on endfeet. The students will be co-supervised by Dr. Audrey Denizot (https://adenizot.github.io/) and Dr. Hugues Berry (https://www.inrialpes.fr/Berry/) We are looking for students who have some experience in programming/mathematical modeling and previous expertise or interest in cell biology/neuroscience. The students must be fluent in English, both speaking and writing. No knowledge of French is required. Most importantly, we are looking for future colleagues who are eager to learn and grow, and who are driven by scientific curiosity. Please reach out to audrey.denizot(a)inria.fr or hugues.berry(a)inria.fr with a one-page statement presenting your interests and goals as well as a CV. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology — Project-Team AIstroSight -- https://team.inria.fr/aistrosight Inria-Université Claude Bernard Lyon 1 Hospices Civils de Lyon-Theranexus Inria Lyon research center Batiment CEI-2 56 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France Tel. (Office): +33 (0)4 72 43 75 01 Tel. (Mobile): + 33 (0)6 70 77 63 39 www.inrialpes.fr/Berry

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Funded PhD Scholarship in Developmental Neurorobotics at Sheffield Hallam University (UK)
by Di Nuovo, Alessandro Feb. 16, 2023

Feb. 16, 2023

About the Project This scholarship will support the PhD candidate to carry out frontier research in Developmental Neurorobotics, a combination of Neuromorphic Computing and Cognitive Developmental Robotics. The PhD candidate will work with the Professor Alessandro Di Nuovo and his team, who have been awarded funding by the EPSRC for his research in the field. We are looking for an outstanding student to work with the team of a new EPSRC project. The research will pioneer the new developmental neuromorphic paradigm, which will be a synergic combination that will go beyond the limitations of the individual paradigms: neuromorphic computing will provide efficient brain-like resources able to process a more accurate representation of the real world, meanwhile developmental robotics will deliver the missing learning mechanisms for complex applications of neuromorphic spiking neural networks. The short-term objective is to demonstrate feasibility and lay the foundation of a biologically plausible framework to simulate the human-like learning process of numerical and abstract cognition, a fundamental characteristic of human intelligence. The team long-term goal is to create an artificial mind for robots that 'grows up' like a child's brain. This will be underpinned by neuromorphic computing which emulates the deep-lying architecture of the brain and will allow it to interpret and adapt to situations. As well as enabling the creation of robots with a human-like ability to reason, behave and interact the creation of an artificial mind will boost research in life sciences disciplines such as neuroscience by allowing researchers to run biologically realistic simulations to test theories. By simulating information on the inner workings of the brain that could not otherwise be detected, it could enhance our understanding of neurodevelopmental and learning disorders and lead to new treatments. Eligibility Information on entry requirements can be found here<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> The ideal candidate should have a Masters degree in Neuromorphic Computing, Computational Neuroscience, Machine Learning, or closely related disciplines in AI and Robotics, excellent programming skills and experience in interdisciplinary research. How to apply Your application should be emailed to industry-innovation-admissions(a)shu.ac.uk<javascript:void(0)> Any interested candidates must contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. The application should explain how the candidate knowledge, skills and experience are relevant to the project short and long-term objectives. For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> ________________________________ Funding Notes The PhD studentship provides tuition fees at UK level and a maintenance bursary at the UK Research Councils' national minimum doctoral stipend rate (£17,668 for 2022/23). The scholarship is available for three years of full-time. ________________________________ References Di Nuovo, A., McClelland (2019). Developing the knowledge of number digits in a child-like robot. Nature Machine Intelligence, 1(12), 594-605. Di Nuovo, A., & Jay, T. (2019). Development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. Cognitive Computation and Systems, 1(1), 2-11. Di Nuovo, A., & Cangelosi, A. (2021). Abstract Concept Learning in Cognitive Robots. Current Robotics Reports, 2(1), 1-8. Roy, Jaiswal, Panda, (2019). Towards spike-based machine intelligence with neuromorphic computing. Nature, 575(7784), 607-617. Krichmar (2018). Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers in Neurorobotics, Vol. 12, p. 42. Furber (2016). Large-scale neuromorphic computing systems. Journal of Neural Engineering, 13(5), 51001. Sengupta, et al. (2019). Going deeper in spiking neural networks: VGG and residual architectures. Frontiers in Neuroscience, 13, 95. Quax, D'Asaro,van Gerven, (2020). Adaptive time scales in recurrent neural networks. Scientific Reports, 10(1), 11360.

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Generative Episodic Memory conference - deadline for abstracts
by Vinita Samarasinghe Feb. 16, 2023

Feb. 16, 2023

The deadline to submit abstracts for GEM 2023 - Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy - is fast approaching. The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for abstracts for its biennial conference *GEM 2023* (Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy), which will be held *in person*at the Ruhr University Bochum, Germany from 12^th to 14^th June 2023. For more information on the conference please visit https://for2812.rub.de/gem2023. *Keynote speakers: * * Ali Boyle (LSE) * Felipe De Brigard (Duke U.) * Christian Leibold (U. Freiburg) * Kenneth Norman (Princeton U.) * Peggy St. Jacques (U. Alberta) * Maria Wimber (U. Glasgow) We invite submissions for symposia, talks and posters. *Please note that all presentations are in person.* *Funding for early career researchers is available *(visit https://for2812.rub.de/gem2023/early_career_researcher_program for more details). Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Abstract* submission deadlines [GMT +1 (CET)]: Abstract submission – 15.03.2023 Notification of acceptance – 15.04.2023 Submission guidelines: Abstracts mustbe submitted in English and be no longer than 500 words.Submitted work must be original and unpublished andsubmitted electronically athttps://www.conftool.net/gem2023/. Types of submissions: * Talks * Symposia: In addition to submitting individual talks there is also the option to submit a set of talks (henceforth called symposium). Symposiamust be interdisciplinary in nature, i.e., they must contain talks from at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience, and must comprise 3 talks. Please note that if one or more of the talks that make up the symposium are rejected the remainingtalks are not automatically rejected. They will be scheduled into the general program by the program committee. * Posters Please ensure that your files are in PDF format and are no larger than 10 MB. We look forward to welcoming you in Bochum. Vinita Samarasinghe Coordinator -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Neuroscience PhD position at Newcastle, UK
by Andrej Bicanski Feb. 15, 2023

Feb. 15, 2023

Dear Colleagues, Please circulate this to any students that may be interested in a neuroscience PhD project based in Newcastle University (UK), co-supervised by Dr. Quoc Vuong and myself. The Topic: We will explore the cross-domain function of the medial temporal lobe with fully immersive virtual reality and with eye-tracking, using new behavioural paradigms and fMRI. We may also incorporate some modelling. Funding: Funded for 3 years and international students are welcome to apply. Deadline: 2nd of March Link with more information: https://www.findaphd.com/phds/project/exploring-the-cross-domain-function-o… Happy to receive informal inquiries prior to application. Best wishes, Andrej Dr Andrej Bicanski School of Psychology & Biosciences Institute Faculty of Medical Sciences Newcastle University www.andrejbicanski.com

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Special Issue: Machine Learning in Neuroimaging for Psychiatry
by Rogene Eichler West Feb. 13, 2023

Feb. 13, 2023

Dear Colleagues, The journal Clinical EEG and Neuroscience is soliciting papers for a special issue on Machine Learning in Neuroimaging for Psychiatry. We especially encourage papers on the development or selection of medications for the treatment of mental health issues. Preference will be given to submissions where the authors include clinicians, rather than a team comprised entirely of data scientists. https://us.sagepub.com/en-us/nam/journal/clinical-eeg-and-neuroscience May1 First draft due July 1 Reviews done. Each invited author reviews 2 other invited submissions as this will be a collegial process. Oct 1 Revisions due The curation will be through guest editors of this issue [Martijn Arns, Sebastian Olbrich, and myself] rather than through the journal’s normal submission portal. Please contact me with any questions or potential submission ideas. We look forward to hearing from you. ____________________________________________ Rogene M. Eichler West, PhD, QEEGD Diplomate in Quantitative Electroencephalography Northwest Neuro Professionals, LLC Associate Editor, Sage Publishing Clinical EEG and Neuroscience Senior Research Scientist in Cognitive and Behavioral Modeling Pacific Northwest National Laboratory

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Call for paper: Biological and Digital Markers in Sleep, Circadian Rhythm, and Epilepsy using Artificial Intelligence
by Sun Haoqi Feb. 13, 2023

Feb. 13, 2023

Dear Comp-neuro mailing list members, We invite you to submit your work to Frontiers in Physiology: Biological and Digital Markers in Sleep, Circadian Rhythm, and Epilepsy using Artificial Intelligence. YES - I would like to participate: Click here to Confirm participation Frontiers average article review time: 61 days from submission to final decision NO - I am unable to participate in this project: Click here to decline participation Deadline: Manuscript Submission: July 9th, 2023 Kind Regards, Haoqi Sun Topic Editor, Computational Physiology and Medicine Section, Frontiers in Physiology

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PhD position in Computational Modelling and Machine Learning at IT University of Copenhagen (deadline March 20th)
by Stefan Heinrich Feb. 13, 2023

Feb. 13, 2023

PhD position at IT University of Copenhagen, Denmark, starting in Summer 2023. Topic: Modelling hierarchical learning of music and speech processing. How does the human brain hierarchically process music or speech? It seems the brain is dynamically adapting to the timescales in the sensation in a way that components of music, such as melodies and low base lines are processed and integrated differently. Furthermore, it seems crucial that the brain is using a statistical learning scheme, thus learning this adaptation by how frequently these components occur. Despite a number of existing neuroimaging studies and scarce attempts to suggest underlying computational principles, research for detailed models is open. We plan modelling the learning of music by studying different computational mechanisms, both, more precise and w.r.t. its functionality close to specific biological neuron models, as well as more coarse, based on general computational principles such as hierarchical network structure, decoding schemes, and distributed activation. The computational research will be conducted side-by-side with a series of empirical EEG studies to verify the validity and further specify the models. The project is part of a cross-departmental initiative between the departments of computer science and digital design aimed at investigating machine-learning-based computational models of the human mind in relation to digital media interaction. Results from this project can enable understanding human information processing better, as well as applying derived computational principles in AI and machine learning approaches of the next generation. Application details: The ideal candidate should have a Masters in Computer Science, Computational Neuroscience, Developmental Psychology, Cognitive Science or related fields, as well as a strong interest in interdisciplinary research, at the intersection of Computational Modelling and Machine Learning. The salary scale will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations for a full-time position. ITU is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The University offers an informal working environment, a varied everyday life, and a highly motivated, competent, and 160 diverse international faculty. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and a well-functioning infrastructure. The city is also among the world’s most liveable cities according to the Economist Global Liveability Index. Candidates will work together with Stefan Heinrich (stehe(a)itu.dk) and Paolo Burelli (pabu(a)itu.dk) and are encouraged to get in contact to develop the project details together. Link to apply and further application details: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Application deadline: 20 March 2023, at 23:59 CET. -- *************************** Dr. Stefan Heinrich Assistant Professor Computer Science Department IT University of Copenhagen https://stefanheinrich.net/ ***************************

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1ˢᵗ Advanced Scientific Programming in Python - Latin America in Mexico City, Mexico, 26 June – 1 July, 2023
by Jakob Jordan Feb. 13, 2023

Feb. 13, 2023

ASPP-LatAm: 1st Advanced Scientific Programming in Python - Latin America ========================================================================= a Summer School by the ASPP faculty, the National Autonomous University of Mexico and the Secretarı́a de Educación, Ciencia, Tecnologı́a e Innovación de la Ciudad de México. https://latam.aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location ============= 26 June – 1 July, 2023. Mexico City, Mexico. Application ========= You can apply online: https://latam.aspp.school Application deadline: 23:59 UTC, Sunday March 12, 2023. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://latam.aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. We are in the process of securing some funds for supporting students with accommodation and living costs. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Tentative Faculty ================= • Aitor Morales-Gregorio, Theoretical Neuroanatomy, Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Germany. • Carlos Cernuda, Data Analysis & Cybersecurity, Faculty of Engineering, Mondragon Unibertsitatea, Bilbao, Spain. • Jakob Jordan, Department of Physiology, University of Bern, Switzerland. • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark. • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam, Germany. • Pamela Hathway, GfK, Nuremberg, Germany. • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland. • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany. • Seetha Krishnan, Department of Neurobiology and Institute for Neuroscience, University of Chicago, Chicago, USA. • Tiziano Zito, Department of Informatics, Technische Universität Berlin, Germany. • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland. Organizers ========== Head of the organization for ASPP-LatAm and responsible for the scientific program: • Carlos Echeverria Serur, Department of Psychology, Humboldt-Universität zu Berlin, Germany Organization team in Mexico: • Cristina Muzquiz Fragoso, DGTIC, Universidad Nacional Autónoma de Mexico • Miguel Angel Villanueva Velez, DGTIC, Universidad Nacional Autonoma de Mexico • Patricia Garces Natera, DGTIC, Universidad Nacional Autonoma de Mexico Website: https://latam.aspp.school Contact: latam(a)aspp.school

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New data management & sharing resources on the INCF portal!
by INCF Feb. 13, 2023

Feb. 13, 2023

Data sharing is on everyone’s mind right now, especially since NIH put their data managing and sharing policy into effect on January 25. At INCF, we have been working to facilitate data sharing, reuse, and reproducibility in neuroscience since our inauguration in 2005. Our current focus is on developing, evaluating, and endorsing standards and best practices that facilitate data sharing, open, FAIR, and citable neuroscience, as well as providing the community with resources and training opportunities on how to implement these standards and best practices. We have just added new FAIR resources to our portal. Here is a summary of the resources INCF offers to researchers on the fundamentals of data sharing and data management: - The FAIR roadmap <http://bit.ly/FAIRRoadmapINCF> - The INCF Standards and Best Practices Portfolio <http://bit.ly/INCFportfolioSBPs> - The INCF Infrastructure Portfolio <http://bit.ly/INCFInfraPortfolio> - The INCF Training Suite <https://bit.ly/INCFTrainingSuite> - Community <https://www.incf.org/services/community-building> & capacity <https://www.incf.org/services/capacity-building> building - FAIR consulting services <https://www.incf.org/services/fair-consulting-services> Learn more <http://bit.ly/INCFsNewResources> about these resources INCF is a member organization - an active global network of neuroscientists, data scientists, and tool developers that come together to interact and receive feedback in order to solve large and small problems around data sharing and standardization. This network is our greatest resource and it’s open for participation: we have individual and group memberships, both for academic/non-profit groups and for companies in related fields. Many of our working groups are also open to new members. Want to get involved? Contact us at info(a)incf.org! /The INCF Team

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), July 19-27, 2023
by Alexandre Hyafil Feb. 13, 2023

Feb. 13, 2023

The Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive, systems and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is organized by the Centre de Recerca Matemática <http://www.crm.cat>. A limited number of course fee waivers will be available. Organizers: Chris Summerfield (Oxford / Deepmind) Marion Rouault (Paris Brain Institute) Klaus Wimmer (CRM, Barcelona) Heike Stein (ENS, Paris) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Anne Collins (UC Berkeley) Elaine Corbett (UC Dublin) Maria Eckstein (Deepmind) Alex Hyafil (CRM, Barcelona) John Krakauer (John Hopkins) Marion Rouault (Paris Brain Institute) Chris Summerfield (Oxford / Deepmind) Valentin Wyart (ENS Paris) Klaus Wimmer (CRM, Barcelona) Dates and location: July 19-27, downtown Barcelona, Spain Applications are open until March 15. Please see the course website for further details: www.bambschool.org.

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Registration is now open for IBD 2023 - Interpretable Brain Data Workshop
by Gonzalo Uribarri Feb. 13, 2023

Feb. 13, 2023

Dear all, If you're interested in exploring the latest techniques for non-invasive human brain data analysis, we cordially invite you to attend the Interpretable Brain Data Workshop 2023 (IBD 2023) in Stockholm, Sweden on June 8th and 9th. Leading researchers will showcase the state-of-the-art methods for analyzing and interpreting MRI and E/MEG data, offering insights from both theoretical and experimental perspectives. The event is *free to attend* and you can participate either *in person or virtually*. The confirmed keynote speakers for the event are: - *Prof. Gustavo Deco*, Research Professor at ICREA and Professor at the Pompeu Fabra University. - *Prof. Peter Fransson*, Karolinska Institute, Stockholm, Sweden. - *Prof. Axel Thielscher*, DTU and DRCMR, Copenhagen, Denmark. This is a unique opportunity to learn from world-renowned experts and connect with researchers from all over the world. You can find all the details, including the full schedule, speaker list, and registration link, on the official IBD 2023 webpage at https://ibd2023.carrd.co/. We look forward to seeing you there! Best regards, The IBD 2023 Organizing Committee: Gonzalo Uribarri Christoffer Olsson Andreas Gerhardson Pascal Helson

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Postdoctoral positions in computational neuroscience in New York - Albert Einstein College of Medicine
by Ruben Coen-Cagli Feb. 10, 2023

Feb. 10, 2023

The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for postdoctoral positions in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. Our lab studies how sensory systems interpret the surrounding environment. Our goal is to reveal the strategies and algorithms used by our visual system to parse the complex, dynamic inputs received during natural vision, and to elucidate how populations of visual-cortical neurons represent and transmit visual information to support perceptual experience. We integrate theories of probabilistic neural coding, machine learning and natural image statistics, visual psychophysics, and neurophysiology through collaborations. Currently active projects include: perceptual grouping and segmentation<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1001…>, processing of natural images in the visual cortex<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1046…>, development of statistical tools to study interactions between neurons<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1048…>, and testing theories of visual processing in ASD<https://www.einsteinmed.edu/centers/iddrc/opportunities/pilot-feasability-a…>. There will be opportunities for substantial interactions with and travel to the collaborating labs. Further details about the application can be found here<https://drive.google.com/file/d/1eYeyH4Uf4aoApRBdKye4jmFR4P5vLhXN/view?usp=…> and here<https://drive.google.com/file/d/13hp-5DmnNHtRoA4hMwn7Kc0tWp_6JCwa/view>. Further details about our research can be found here<https://sites.google.com/site/rubencoencagli>. Please email ruben.coen-cagli(a)einsteinmed.edu for any questions about the positions. The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. Ruben Coen Cagli, PhD Associate Professor Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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Transylvanian Experimental Neuroscience Summer School (TENSS 2023)
by Tomas Hromadka Feb. 9, 2023

Feb. 9, 2023

Dear colleagues, Please find below an announcement about the 11th edition of the Transylvanian Experimental Neuroscience Summer School (TENSS 2023). We would be very grateful if you forwarded this announcement to potentially interested people. We have started a worldwide initiative to train young brain researchers, from both developed and less developed countries, in understanding and using the most advanced tools in brain research today. We do this in an idyllic location, without any pre-existing infrastructure, where students and instructors alike enjoy the adventure, work hard, and build sophisticated research labs from scratch. The main objective of TENSS is to provide participants top-level, hands-on training in experimental techniques used in neuroscience, from optical, electrophysiological, and behavioural methods to advanced data analysis and machine learning. The philosophy of the school is learning by doing and while doing so, openly sharing ideas and expertise. This is TENSS, the Transylvanian Experimental Neuroscience Summer School: June 1-21, 2023, Pike Lake, Transylvania, Romania – https://tenss.ro/. • 3 weeks of 24/7 hands-on practical and theoretical courses in building, debugging, using and interpreting data from cutting-edge experimental methods in modern neuroscience. • A select group of the best 12-14 applicants: for the 2022 edition, top 14 were selected from an excellent pool of more than 100 applicants from all over the world. • A wide collection of experts: ~29 lecturers and 16 dedicated teaching assistants from brain research institutes in the USA, UK, Germany, France, Poland, Romania, India, Switzerland, Portugal, Hungary, and Slovakia. • A knowledge base of Open-Source solutions to complex problems in brain research. Coursework will take place in a land of myth and legend, beyond large forests (Transylvania), on the shores of a picturesque natural reserve called Pike Lake. Applications are welcome from interested (and interesting) graduate students and postdocs. Please note that there is a significant number of fee waivers and travel support grants available for supporting our applicants. Application deadline – March 5th, 2023 Notification of acceptance – April, 2023 Summer School – June 1-21st, 2023 Invited lecturers (tentative): Athena Akrami – Sainsbury Wellcome Centre, UCL, UK Upinder Bhalla – National Centre for Biological Sciences, India Federico Carnevale – DeepMind Technologies, London, UK Ann Clemens – University of Edinburgh, UK Ashesh Dhawale – Centre for Neuroscience, IISc Bangalore, India Michael Dickinson – California Institute of Technology, USA Florian Engert – Harvard University, USA Nadine Gogolla – Max Planck Institute of Psychiatry, Germany Sonja Hofer – Sainsbury Wellcome Centre, UCL, UK Helen Xun Hou – Cold Spring Harbor Laboratory, USA Tomáš Hromádka – Slovak Academy of Sciences, Slovakia Benjamin Judkewitz – Einstein Center for Neuroscience, Germany Georg Keller – Friedrich Miescher Institute, Switzerland Emilie Mace – Max Planck Institute of Neurobiology, Germany Eve Marder – Brandeis Unversity, USA Hannah Monyer – University of Heidelberg, Germany Tom Mrsic-Flögel – Sainsbury Wellcome Centre, UCL, UK Bence Ölveczky – Harvard University, USA Ruben Portugues – Max Planck Institute of Neurobiology, Germany Tobias Rose – University of Bonn, Germany Wolf Singer – Ernst Strüngmann Institute, Germany Daniela Vallentin – Max-Planck-Institute for Ornithology, Germany Jakob Voigts – HHMI, Janelia Research Campus, USA Chris Xu – Cornell University, USA Petr Znamenskiy – Francis Crick Institute, UK Tony Zador – Cold Spring Harbor Laboratory, USA Teaching Assistants & Organizing Team: Harald Bârzan Antonin Blot Rob Campbell Andrei Ciuparu Loredana Dan Medorian Gheorghiu Matías Goldin Priyanka Gupta Yiran He Ana Maria Ichim Mitra Javadzadeh Mateusz Kostecki Fred Marbach Vasile V. Moca Adriana Nagy-Dăbâcan Jon Newman Cosmina Pavel Bruno Pichler Laura Rus Nacho Sanguinetti Pavithraa Seenivasan Iuliu Vasilescu Anqi Zhang Best regards, TENSS Organizing Committee contact [at] tenss.ro

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Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University
by Dr Jana Schaich Borg, Ph.D. Feb. 9, 2023

Feb. 9, 2023

Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University Our group has an opening for a postdoctoral position in the Social Science Research Institute, Duke Institute for Brain Sciences, and Department of Mathematics at Duke University. The focus of the postdoc position is on developing novel interpretable algorithms for identifying social interaction motifs and their typical temporal and hierarchical relationships during natural interactions. The methodological tools developed will first be applied to a highly novel dataset of human social interaction videos with associated behavioral and clinical outcomes. The methods will then be applied to the lab's datasets involving human MRI data during social decisions, human physiological and EEG data during social interactions, videos of rodent social interactions, or rodent LFP data during social interactions, depending on the applicants' primary interests and background. This is highly interdisciplinary position and line of research, so successful applicants may come from a variety of fields, including (but not limited to) neuroscience, cognitive science, mathematics, computer science, electrical engineering, biomedical engineering, and (bio)statistics. However, all applicants should have excellent coding skills, extensive experience with data analysis, and at least some experience with statistical modeling and prediction. Experience with image processing is ideal, but not required. Applicants who want to use the postdoc to deepen or broaden their existing skill sets, applications, or domain knowledge are welcomed. Neuroscientists who want mentorship in mathematical theory or engineers/mathematicians/statisticians who want mentorship in how to apply their skills to an exciting and dynamic field with theoretical, clinical, and commercial implications are particularly encouraged. The applicant will be co-mentored in neuroscience, social behavior theory, mathematical theory development, applied analysis, and job placement by Dr. Schaich Borg (Duke Institute for Brain Science, Social Science Research Institute) and Dr. Hau-Tieng Wu (Departments of Mathematics and Statistics). Timeline: The postdoc could start immediately, but later start dates are also available for appropriate candidates. Teaching: The position does not require any teaching, but teaching opportunities and teaching mentorship are available if the candidate is interested. Contact: Interested applicants should contact Dr. Schaich Borg (js524(a)duke.edu) through email, and include a CV, statement of research interests, and names of three referees that can provide letters of recommendation in the future, if needed. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

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Applications for 2023-24 entry OPEN:: MSc in Intelligent Vision, University of Lincoln (Lincoln, UK)
by Vassilis Cutsuridis Feb. 6, 2023

Feb. 6, 2023

********************************************************************************** The MSc in INTELLIGENT VISION at the University of Lincoln (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2023-24 ENTRY. Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. This cutting-edge Masters course builds on the multi-disciplinary and strong research profiles of our staff. It equips students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global AI Vision industry providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. HOW TO APPLY ============= Download the online application from the following link and fill out all relevant information: https://www.lincoln.ac.uk/media/responsive2017/studywithus/postgraduatestud… Then click on the following link: https://uol.t1cloud.com/T1Default/CiAnywhere/Web/UOL/StudentCore/StudentApp… and follow the instructions. COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (105 credits) plus a seminar based course (15 credits) and a research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core modules of this course include: (a) Advanced artificial intelligence (theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents) (b) Advanced machine learning (theoretical fundamentals and practical application of supervised, unsupervised, reinforcement and evolutionary learning) (c) Computer Vision (applications of computer vision in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems) (d) Neural Computing (fundamentals of an emergent specialised area of computer science that is concerned to describe how the brain computes by simplifying neuronal biology to a set of equations) (e) Big Data Analytics and Modelling (a range of aspects in collecting, transforming, processing, analysing and make inferences out of large amounts of data, which can either be signals or visual data) (f) Applied signal and image processing (a range of aspects in capturing, processing, analysing and interpreting n-dimensional signal and image content) (g) Research methods (fundamental skills and background knowledge students need to undertake a research project including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations) (h) Frontiers in machine learning and computer vision (a seminar based module about the state of the art in machine learning and computer vision research, including an understanding of the theoretical developments and current applications in the field) (i) Research project The final research project can be carried out ‘in house’ or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://www.lincoln.ac.uk/course/intvisms/ under "Student Project Work" LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Greece, Germany, Spain, China, and US. Carrying out your final project in collaboration with one of our industry partners or securing a placement with them after completion of your degree will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.lincoln.ac.uk/studywithus/postgraduatestudy/feesandfunding/ Here is what our alumni have to say about this course: https://www.lincoln.ac.uk/course/intvisms/ For any other specific questions, please do not hesitate to get in touch. Kind regards, Vassilis Cutsuridis -- Programme Leader, MSc in Intelligent Vision Senior Lecturer School of Computer Science University of Lincoln Brayford Pool Lincoln LN6 7TS, UK https://staff.lincoln.ac.uk/vcutsuridis ******************************************************************************

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[EEG] PhD / Research Assistant position at University of Coimbra, Portugal
by maritametzler＠posteo.de Feb. 6, 2023

Feb. 6, 2023

We are searching for a PhD candidate working on human-robot collaboration. Please have a look into the description below and in case of interest contact Art Pilacinski (art.pilacinski(a)gmail.com) or Sergi Bermudez I Badia (sergi.bermudez.badia(a)gmail.com) Best, Marita ---------- Forwarded message --------- From: Art Pilacinski <art.pilacinski(a)gmail.com> Date: Mon, Feb 6, 2023 at 1:05 PM Subject: [EEG] PhD / Research Assistant position at University of Coimbra, Portugal To: <spm(a)jiscmail.ac.uk> Cc: Sergi Bermudez i Badia <sergi.bermudez.badia(a)gmail.com> Hi everyone, We are searching for an enthusiastic candidate to work on a cool project using human biomarkers (EEG, eye tracking, EMG) and virtual reality to advance collaborative robotics. The project will take part at University of Coimbra and at University of Madeira, with collaborations in Germany and Spain. The position is initially for 3 years but multiple extension options are available. See more details here: https://proactionlab.fpce.uc.pt/en/news-entry/we-are-hiring- Please, feel free to forward this ad to whoever might be interested. Thanks, Art -- Art Pilacinski Researcher | Inv. Assist. Professor Klaes Lab | Proaction Lab Ruhr-University Bochum | University of Coimbra Bochum, Germany | Coimbra, Portugal klaeslab.de | proactionlab.fpce.uc.pt

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Feb. 4, 2023

Feb. 4, 2023

Modellers Workshop for the Brain Dynamics Toolbox This online course is for researchers who wish to simulate user-defined dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<http://bdtoolbox.org>). The toolbox allows the dynamics of any model to be explored interactively with minimal programming effort. Video lectures guide the student through every step of the process with a practical focus on the art of programming differential equations. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close Sun 12th Feb 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Postdoc at University of Magdeburg, Germany
by Quian Quiroga, Rodrigo (Prof.) Feb. 3, 2023

Feb. 3, 2023

The University of Magdeburg 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, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. The candidate should be able to work both independently and as part of a research team. The candidate will be primarily based at the Department of Neurology in Magdeburg (http://www.kneu.ovgu.de) and will work in close collaboration with the Leibniz Institute for Neurobiology (https://www.lin-magdeburg.org) and the Neurodegenerative Diseases Research Centre (https://www.dzne.de/en/) at the University of Magdeburg, and with the recently established group of Rodrigo Quian Quiroga at the IMIM (https://www.imim.cat) in Barcelona. The position is initially offered for 3 years, with the possibility of further extensions according to performance. Salary will be competitive, based on DFG (German Research Council guidelines for Postdocs), depending on experience. Informal enquiries are welcome and should be made to Prof. Catherine Sweeney-Reed: catherine.sweeney-reed(a)med.ovgu.de. To apply, please send a curriculum vitae and a brief description of scientific interests to Mrs. Birgit Boehme at birgit.boehme(a)med.ovgu.de. The closing date for the applications is 24th February 2023. Start date will be in April 2023 or shortly thereafter. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester http://le.ac.uk/csn

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Cognitive Neuroscience Research Assistant position at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo Feb. 2, 2023

Feb. 2, 2023

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for a cognitive neuroscience research assistant. This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling, administering, and scoring neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. Please note many sessions with research participants will take place on the weekends, and occasionally in the evenings. A minimum commitment of two years is required. Qualifications Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic. Please email a CV, a statement of research interests and career goals, and contact information for three references to: scsnl.stanford+researchassistant(a)gmail.com.  Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:d4d98577-fb92-454f-96db-98c0a2ea4e85]

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Neuroimaging Data Analyst position at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo Feb. 2, 2023

Feb. 2, 2023

The Stanford Cognitive and Systems Neuroscience Laboratory (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) in the Department of Psychiatry and Behavioral Sciences has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:43e26113-4dc3-4232-919e-9f79d26eca51]

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Research Fellow/Scientist position at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo Feb. 2, 2023

Feb. 2, 2023

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for post-doctoral positions with expertise in cognitive, systems and computational neuroscience. Candidates must have a PhD and research experience in cognitive neuroscience, psychology, cognitive science, computer science, electrical/biomedical engineering, or related fields. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of human brain function and psychopathology. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs.  We are especially interested in talented and highly motivated individuals with expertise in at least one of these areas: cognitive neuroscience; computational psychiatry; cognitive   modeling of behavioral dynamics; computational and statistical analysis of brain imaging and electrophysiological data, including dynamic brain circuit analysis, statistical  modeling and Bayesian inference, machine learning, and deep neural networks.  Please email your CV and a statement of research interests, explaining how your skills and past experience will advance human neuroscience research, to Prof. Menon at scsnl.stanford+postdoc(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:195fcfbe-653c-4b49-b99a-58a6df27ba2a]

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Postdoctoral fellowship at the Gatsby Unit
by Lin, I-Chun Jan. 31, 2023

Jan. 31, 2023

The Gatsby Computational Neuroscience Unit invites applications for a postdoctoral Training Fellowship under the guidance of Professor Maneesh Sahani and Professor Jennifer Linden (UCL Ear Institute). You will focus on an investigation of the computational principles that underlie the formation of perceptual representations. The goal is to apply state-of-the-art unsupervised inferential approaches to learn models of acoustic environments, and evaluate the fidelity with which they reproduce neural recordings in the auditory cortex from animals raised in either routine or altered acoustic settings. Deadline: 28 February 2023. For detailed information on the role and how to apply, visit www.ucl.ac.uk/gatsby/vacancies About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Postdoc/Engineering position at the Cleveland Clinic in Brain-Machine Interfacing/Neural Interfacing
by Dawn Taylor Jan. 31, 2023

Jan. 31, 2023

*Postdoctoral/Engineering Position in* *Brain-Machine Interfacing / Neural Interfacing* *at The Cleveland Clinic* We are seeking outstanding postdoctoral candidates and/or engineers for research in brain-machine interfacing and restoration of sensorimotor function via electrical stimulation of the nervous system. We have multiple ongoing projects applicants could get involved with spanning BMI-controlled neuroprosthetics, deep brain stimulation, peripheral nerve stimulation, and intracortical microstimulation. Our primary project is an NIH R01-funded project that is part of a larger government funded clinical trial (ReHAB: *Re*connecting the *H*and and *A*rm to the *B*rain) to restore arm function to paralyzed individuals by using their intracortical brain signals to control peripheral nerve stimulators that reanimate their paralyzed muscles. The specific focus of this five-year NIH-funded project (PIs: *Drs. Dawn Taylor* and *Bolu Ajiboye*) is to improve brain-controlled limb movements by more effectively modulating limb stiffness (i.e. degree of co-contraction of antagonist muscle) to improve limb stability while also minimizing muscle fatigue. Additionally, we have new funding for restoring proprioception via intracortical microstimulation in area 3a in animal models. We also are conducting research into improving deep brain stimulation and alternative peripheral neurostimulation therapies for Parkinson’s’ disease. Research activities include working with animal models and humans as well as neural and biomechanical simulations. Ideal candidates will have experience/familiarity in some or all of the following: intracortical recordings in animals, non-human primates and/or humans; cortical and/or peripheral nerve stimulation for restoration of movement and sensation; real-time neural signal processing; writing custom programs to control multiple pieces of hardware and control objects in a virtual environment (matlab skills preferred); computational or biomechanical modeling. An advanced degree in Biomedical Engineering, Computer Engineering, or Neurosciences is preferred but other applicants will be considered. This is a great opportunity to work with our large interdisciplinary team of researchers, engineers and clinicians to gain a wide range of skills beneficial for your future neural or rehab-related career. Interested candidates should submit their curriculum vitae to Dawn Taylor, PhD ( dawn.taylor(a)case.edu) The Cleveland Clinic is an equal opportunity employer, and we encourage applications from a diverse range of candidates. -- Dawn M. Taylor, Ph.D. Associate Staff, Dept. of Neuroscience, Cleveland Clinic Research Scientist, Cleveland VA Medical Center, Functional Electrical Stimulation Center Associate Professor of Biomedical Engineering & of Molecular Medicine, Case Western Reserve University The Cleveland Clinic Lerner Research Institute 9500 Euclid Ave. / NC30 Cleveland, OH 44195 email: dxt42(a)case.edu or taylord8(a)ccf.org Phone: (216) 636-0140 Fax: (216) 444-7927

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PhD or PostDoc in Computational Neuroscience - Max Planck Institute, Göttingen, Germany
by Viola Priesemann Jan. 30, 2023

Jan. 30, 2023

*Unsupervised Local Learning and Efficient Coding * Our group investigates learning and self-regulation in neural and social networks. By putting both side-by-side, we carve out the principles of self-regulation in living networks. The PhD / PostDoc projects are open topic. If you are interested to understand the principles or implementation of learning in living systems in the context of *efficient coding and its implementation via (unsupervised) local learning rules,* in the context of our ongoing work (e.g. [1-5]), we welcome your application. In our group, we combine approaches from statistical physics, data science, control theory, and information theory to carve out how local, unsupervised learning shapes network function. Potential collaborations with our colleagues from theory and experiment e.g. in Göttingen, Bonn, Tübingen, or Oxford are possible and encouraged. *Deadline*: February 10, 2023 (first position) and April 30, 2023 (second position). It should not matter, which application deadline you choose. *Further Details: * https://www.viola-priesemann.de/open-positions-2/ or https://www.nature.com/naturecareers/job/two-phd-mfx-or-postdoc-positions-m… Please note also our complementary open position on self-organization in social networks. *References: *[1]Zierenberg, Wilting & Priesemann, PRX 2018 <https://journals.aps.org/prx/abstract/10.1103/PhysRevX.8.031018> [2] Mikulasch, Rudelt & Priesemann, <https://www.pnas.org/doi/full/10.1073/pnas.2021925118>PNAS 2021 <https://www.pnas.org/doi/full/10.1073/pnas.2021925118> [3] Jaehne et al., Cell Reports, 2021 <https://www.sciencedirect.com/science/article/pii/S2211124721001558> [4] Rowland et al., biorxiv, 2021 <https://www.biorxiv.org/content/10.1101/2021.12.28.474343v1.abstract> [5] Mikulasch, Rudelt, Wibral & Priesemann, TINS 2022 <https://www.sciencedirect.com/science/article/pii/S0166223622001862> -- Summer school on infodemics and pandemics:https://summerschool.infodemics.info/ Prof. Dr. Viola Priesemann Max-Planck-Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen https://priesemann-group.github.io www.viola-priesemann.de viola.priesemann(a)ds.mpg.de

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Konstanz School of Collective Behavior 2023
by Ahmed El Hady Jan. 30, 2023

Jan. 30, 2023

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

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Postdoc position in Computational Neuroscience
by andrea.alamia＠cnrs.fr Jan. 30, 2023

Jan. 30, 2023

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements • Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. • Ability to work independently, developing ideas and interests within the project's scope. • A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. • Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

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Software WG: Software Highlight: Dendrify, a framework for incorporating dendrites to spiking neural networks
by Ankur Sinha Jan. 30, 2023

Jan. 30, 2023

Dear all, Apologies for the cross-posts. Please join us for the INCF/OCNS Software Working Group's next Software Highlight session: https://ocns.github.io/SoftwareWG/2023/01/27/dev-session-michalis-pagkalos-… Michalis Pagkalos will introduce and discuss Dendrify, a framework for incorporating dendrites to spiking neural networks, in this session. - Date: February 7, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]). - Zoom: https://ucl.zoom.us/j/91907842769?pwd=bnEzTU9Eem9SRmthSjJIRElFZ0xwUT09 The abstract for the talk is below: Current SNNs studies frequently ignore dendrites, the thin membranous extensions of biological neurons that receive and preprocess nearly all synaptic inputs in the brain. However, decades of experimental and theoretical research suggest that dendrites possess compelling computational capabilities that greatly influence neuronal and circuit functions. Notably, standard point-neuron networks cannot adequately capture most hallmark dendritic properties. Meanwhile, biophysically detailed neuron models can be suboptimal for practical applications due to their complexity, and high computational cost. For this reason, we introduce Dendrify, a new theoretical framework combined with an open-source Python package (compatible with Brian2) that facilitates the development of bioinspired SNNs. Dendrify allows the creation of reduced compartmental neuron models with simplified yet biologically relevant dendritic and synaptic integrative properties. Such models strike a good balance between flexibility, performance, and biological accuracy, allowing us to explore dendritic contributions to network-level functions while paving the way for developing more realistic neuromorphic systems. - Manuscript: Introducing the Dendrify framework for incorporating dendrites to spiking neural networks | Nature Communications [3] - Source code: Poirazi-Lab/dendrify: Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator [4]. - Documentation: https://dendrify.readthedocs.io/en/latest/ [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highligh… [2] https://ocns.github.io/SoftwareWG/extras/ics/20230207-dendrify.ics [3] https://www.nature.com/articles/s41467-022-35747-8 [4] https://github.com/Poirazi-Lab/dendrify Please subscribe to the working group's mailing list for reminders, more updates, and to contact us: https://ocns.github.io/SoftwareWG/pages/contact.html On behalf of the working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Rovereto workshop on Concepts, Actions and Objects (CAOs), May 4-6, 2023, Rovereto, Italy
by Moritz Wurm Jan. 30, 2023

Jan. 30, 2023

Save the date After a long break imposed by the COVID emergency, we are happy to announce that the CAOs workshop will be back this spring! The 14th edition of the Rovereto workshop on Concepts, Actions and Objects (CAOs), is taking place at the Center for Mind/Brain Sciences, May 4-6, 2023, in Rovereto, Italy. As usual, we are happy to announce an exciting list of speakers: Yanchao Bi (Beijing Normal University, China) Christian Doeller (Max Planck Institute, Germany) Beth Jefferies (York University, UK) Bob Kentridge (Durham University, UK) Gilles Vannuscorps (Université Catholique de Louvain, Belgium) Gabriella Vigliocco (University College London) Melissa Võ (Goethe University Frankfurt, Germany) The goal of CAOs is to provide a unique forum for researchers from a range of perspectives who are interested in Concepts, Actions, and Objects to come together to discuss their research and develop new directions and collaborations. The workshop differs from larger conferences in so far as there are a small number of speakers (all invited) and there are no concurrent talks. In addition to the individual talks, there will be a poster session for students, post-docs and young researchers to present their work. Registration for the workshop will open soon. The CAOs workshop is sponsored by the Center for Mind/Brain Sciences, University of Trento, Italy -- Moritz Wurm, PhD Center for Mind/Brain Sciences (CIMeC), University of Trento Corso Bettini 31, 38068 Rovereto (TN), Italy moritz.wurm(a)unitn.it +39 0461-28 8632 https://sites.google.com/site/moritzfwurm

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Postdoc position at University of Texas Southwestern
by Brad Lega Jan. 26, 2023

Jan. 26, 2023

A postdoc position is available at UT Southwestern, in Dallas, Texas, in the lab of Dr. Brad Lega. Successful candidates will join a diverse team of researchers studying human memory, including brain computer interface devices. Candidates will have the opportunity to work on one or more of the following topics: 1. Human single unit activity during memory behavior 2. Network/connectivity models of brain activity in humans 3. Brain stimulation paradigms for memory restoration. For more details, see: https://labs.utsouthwestern.edu/texas-computational-memory-lab Brad Lega UT Southwestern Dept of Neurosurgery email: bradlega(a)gmail.com

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Postdoc position in Cognitive and Computational Neuroscience
by Andrea Alamia Jan. 26, 2023

Jan. 26, 2023

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements · Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. · Ability to work independently, developing ideas and interests within the project's scope. · A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. · Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

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Postdoc position in Prague
by Helmut Schmidt Jan. 26, 2023

Jan. 26, 2023

A postdoc position is available at the Institute of Computer Science, Czech Academy of Sciences, under the supervision of Dr. Helmut Schmidt. The successful candidate will join a diverse team of researchers who work at the interface of neuroimaging and computational neuroscience, and will have the opportunity to work on one or more of the following topics: 1. the development of mathematical models of cortical microcircuits that are both biologically realistic and computationally efficient; 2. the integration of state-of-the-art mean field models of cortical activity into whole-brain network models, with a strong emphasis on realistic long-range axonal signal transmission; 3. the application of such models to neuroimaging data (EEG and fMRI). For more details see: https://www.cs.cas.cz/job-offer/Postdoc-positions-Schmidt3-2023/en -- Helmut Schmidt Institute of Computer Science The Czech Academy of Sciences email: schmidt(a)cs.cas.cz web: https://www.cs.cas.cz/staff/schmidt/en

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Postdoctoral position in Human Visual Psychophysics with fMRI/MRI in Tuebingen, Germany
by Li Zhaoping Jan. 25, 2023

Jan. 25, 2023

*Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d)* *(TVöD-Bund E13, 100%)* The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html>. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. *Responsibilities:* ·Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. Coordinate with the PI and other team members for strategies and project planning Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. *Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. Publications in peer-reviewed journals Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. Highly skilled in fMRI experiments and data analysis. Experience in project management is highly desired. Strong command of English; knowledge of German is a plus. *Who we are:** *We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org <http://www.lizhaoping.org>). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. ** *Your application:* The position is available immediately and will be open until filled. Preference will be given to applications received by *March 19^th , 2023*. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application.Please use pdf files for these documents (and you may combine them into a single pdf file) and send to *jobs.li(a)tuebingen.mpg.de*, where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit https://www.lizhaoping.org/jobs.html <https://www.lizhaoping.org/jobs.html>

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Post Doc Position Available in ACE Lab
by clap (Service Account) Jan. 25, 2023

Jan. 25, 2023

A post-doctoral position is available at the Anticipation, Cognition and Emotion lab at the University of Pittsburgh (https://www.ace.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Required Qualifications: a PhD degree in psychology, cognitive neuroscience, or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. Excellent writing skills are a must. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling, and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory in individuals with mood disorders. Responsibilities: A successful candidate will analyze clinical, behavioral, and neuroimaging data, write manuscripts, and present at conferences. This is a 1- to 2-year position. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to Anna Manelis (manelisa(a)upmc.edu<mailto:manelisa@upmc.edu>).

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer Jan. 25, 2023

Jan. 25, 2023

**Apologies for cross-posting** Dear colleagues, We are looking to hire several new postdocs in the "Developmental Computational Psychiatry" lab and the newly established W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with clinical psychiatry / psychotherapy background https://devcompsy.org/PostdocClinincalAvH2023.pdf * Postdoc with computational modelling background https://devcompsy.org/PostdocModellingAvH2023.pdf * Postdocs with experimental & neuroimaging (MEG / MRI) background https://devcompsy.org/PostdocNImgERC2023.pdf More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

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C-BRAINS International PhD Program in Paris, France
by bgutkin Jan. 25, 2023

Jan. 25, 2023

C-BRAINS International PhD Program in Paris, France Call for applications 2023 Deadline March 3, 2023 C-BRAINS (Cognition and Brain Bevolutions: Artificial Intelligence, Neurogenomics, Society) is a major innovation and research initiative supported by the Ile-de-France Regional Council. It brings together the best of academic research in neuroscience and cognitive science in the Paris region, with more than 200 research teams spread over 17 sites (6 universities and schools of higher education, as well as laboratories affiliated to Inserm, CNRS, CEA and the Pasteur Institute) and more than 40 industrial partners. An international doctoral program is set up by C-BRAINS in 2023, offering students a unique opportunity to develop their scientific projects within the neuroscience and cognitive science research teams of the greater Paris area. The C-BRAINS international PhD program will offer 13 PhD contracts starting in October 2023 for three years, and financial packages of 5 k€ of scientific support and 7 k€ of installation bonus (12 k€ tax-free stipend). C-BRAINS is particularly eager to welcome students from multidisciplinary backgrounds applied to neuroscience and cognitive science, and willing to use their skills and experience in new and exciting projects proposed by our academic and associate partners. Interns will conduct their research at the various partner institutions after choosing from a list of over 70 topics. They will have the opportunity to contact potential supervisors prior to the March 3, 2023 deadline. Research opportunities are available at: https://dim-cbrains.fr/fr/phd-program/dim-cbrains <https://dim-cbrains.fr/fr/phd-program/dim-cbrains> Applicants must have a highly qualified undergraduate degree (or equivalent) and a Master of Science or other Master's degree from a university outside of France. They must not have worked or resided in France for more than 12 months during the 3 years preceding their recruitment by C-BRAINS. For more details on how to apply and the link to our online application form, please visit: https://dim-cbrains.fr/en/platform/login <https://dim-cbrains.fr/en/platform/login> The application will close on Friday, March 3, 2023 at midnight.

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Postdoctoral Fellow in Computational and Statistical Neuroscience NYU School of Medicine
by Chen, Zhe Jan. 24, 2023

Jan. 24, 2023

Postdoctoral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from September 2022, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computational neuronal modeling, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>) with a subject line “Postdoc application”.

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Postdoc position in Computational Neuroscience
by Andrea Alamia Jan. 24, 2023

Jan. 24, 2023

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements · Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. · Ability to work independently, developing ideas and interests within the project's scope. · A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. · Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

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Senior Research Associate (post-doc) position working on spiking neural networks
by Jeffrey Bowers Jan. 24, 2023

Jan. 24, 2023

Deadline extended for Senior Research Associate (post-doc) working on EPSRC New Horizons project entitled "Exploring the multiple loci of learning and computation in simple artificial neural networks". The project assesses the adaptive value of learning outside of synapses in spiking networks. Position based in Bristol working with Jeffrey Bowers (https://jeffbowers.blogs.bristol.ac.uk/publications/psycho-neuro/) and Benjamin Evans (https://profiles.sussex.ac.uk/p555479-benjamin-evans) Daniel Goodman (https://www.imperial.ac.uk/people/d.goodman) will also be collaborating on the project. Based at University of Bristol, UK. Deadline for applying Feb 17th. For more details see: https://www.jobs.ac.uk/job/CWV563/senior-research-associate Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/

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Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses at OIST
by Erik De Schutter Jan. 24, 2023

Jan. 24, 2023

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp <https://www.oist.jp/>), Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu <https://groups.oist.jp/cnu>). We are hiring two more postdoctoral fellows to support this effort. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses (https://www.youtube.com/watch?v=KpaIVOMi_tA) using our STEPS software (http://steps.sourceforge.net <http://steps.sourceforge.net/>). The research project depends on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. Access to OIST high performance computing cluster. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp <mailto:erik@oist.jp>) for inquiries.

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Deadline approaching for Okinawa/OIST Computational Neuroscience Course 2023
by Erik De Schutter Jan. 24, 2023

Jan. 24, 2023

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

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3 PhD positions at the University of Bern
by jeanpascal.pfister＠unibe.ch Jan. 20, 2023

Jan. 20, 2023

Applications are invited for three PhD student positions at the University of Bern. The positions are funded by a grant from the Swiss National Science Foundation which is entitled “Why Spikes?”. This project aims at answering an almost 100 year old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels. The PhD students and post-doc will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The PhD candidates (resp. post-doc candidate) should hold a Master (resp. PhD) degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>). ThThe position is offered for a period of three years and can be extended. Deadline for application is the 31st of January 2023 or until the position is filled. Salary scale is provided by the Swiss National Science Foundation. (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch> URL: http://www.physio.unibe.ch/~pfister/

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Ikerbasque Research Fellow 2023 call
by Serafim Rodrigues Jan. 19, 2023

Jan. 19, 2023

Dear All *ikerbasque, * the Basque Foundation for Science, would like to inform you that they have launched *a new international call* to reinforce research and scientific career in the Basque Country: *20 positions for experienced postdoctoral researchers* *Ikerbasque Research Fellows* - 5-year contracts, during the last year the researcher can be assessed to obtain a permanent contract - An initial moving allowance of up to 4,000 € is provided for international moves. - A start-up funding of 10,000 € is provided for the initial research costs. - PhD degree between Jan 2012-Dec 2020 - A support letter from BCAM is mandatory - Applications from women are especially welcomed - Deadline: March 15th, 2023 at 13:00 CET The procedure for the pre-selection of the BCAM (Basque Center for Applied Mathematics) candidates will be as follows: - *Potential candidates interested in Mathematical, Computational and Experimental Neuroscience* - Please send email to Serafim Rodrigues <srodrigues(a)bcamath.org> - Please send before *Feb 14th 2023, * the following information: - *Updated CV* to the Serafim Rodrigues <srodrigues(a)bcamath.org> and recruitment(a)bcamath.org - *Two reference letters*. The reference letters shall be submitted directly by the referees to recruitment(a)bcamath.org - The BCAM Selection Committee will pre-select the candidates and will have an *interview with them *around *Feb 15th – 28th, 2023*. - After that, The BCAM Selection Committee will select the BCAM candidacies in this call by the end of February and will prepare the BCAM support letter for the selected candidates. For further information, please visit *calls.ikerbasque.net* <http://ikerbasque.mailrelay-iv.es/newslink/753570/22.html>*, *or contact us recruitment(a)bcamath.org -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

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ICANN 2023 - Call for Papers, Special Sessions & Workshops
by Sebastian Otte Jan. 19, 2023

Jan. 19, 2023

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. CALL FOR SPECIAL SESSIONS AND WORKSHOPS ICANN 2023 organizers cordially invite internationally recognized experts to organize Special Sessions and Workshops within the general scope of the conference. Please submit your Workshop / Special Session proposal by the deadline (see SUBMISSION DEADLINES) to ICANN 2023 organizing board by email at liliadis AT civil.duth.gr (Prof. Lazaros Iliadis, ICANN 2023 General co-Chair) CALL FOR PAPERS Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SUBMISSION DEADLINES - Special session and workshop proposal submission: Feb. 28, 2023 - Full paper and extended abstract submission: Apr. 9, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Deadline CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023
by David B Jan. 18, 2023

Jan. 18, 2023

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

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Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 25.01.23
by Graduate Programs Jan. 18, 2023

Jan. 18, 2023

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience next Wednesday, January 25th, at 3pm (CET). Attendees are welcome to join in person at the BCCN Berlin or virtually via Zoom. The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2023-international-g…> for a more detailed schedule and registration link. Best regards, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Mondays - Thursdays

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Update- Women in Memory Research 2023
by Vinita Samarasinghe Jan. 18, 2023

Jan. 18, 2023

An updated version of our WiMR 2023 program: The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Lab visits PM Funding and support structures 16.06.2023 Close up meetings (optional) *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Postdoc/PhD for in silico reconstruction of neural tissue
by Mario Negrello Jan. 16, 2023

Jan. 16, 2023

We are looking for one outstanding Postdoc or PhD to conduct computational neuroscience research in the neurocomputing lab in Rotterdam, The Netherlands (www.neurocomputinglab.com) In addition to a solid foundation in neurobiology (neurons and networks), and biophysics (Hodgkin-Huxley models and ion channel mechanisms), the candidate is expected to feel comfortable with applied mathematics and physics, and to have a penchant for the data sciences (under the many guises of supervised and unsupervised learning). The goal of the project is to engineer data-assimilation pipelines for efficient reconstruction of models of neuronal tissue (“Digital twin” factory). These will be used to produce predictions about disease pathways and the effect of pharmacology on neuronal dynamics. More details about the posting can be found here <https://docs.google.com/document/d/1eEAnb1zJaswbgpdsAK9p2-NZRGn40B-MlssHOM6…>. Interested candidates should contact Dr. Mario Negrello (m.negrello(a)erasmusmc.nl) Please include DIGITALTWIN and the position you are applying for (PhD or Postdoc) in the email subject.

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Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition)
by Viola Priesemann Jan. 16, 2023

Jan. 16, 2023

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition) Villa del Grumello, Como, Italy, May 22-26, 2023 ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Organized by Fondazione Alessandro Volta Lake Como School of Advanced Studies *** DEADLINE FOR APPLICATION: February 26, 2023 (firm deadline) *** Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline---including sociology, transportation, economics and finance, biology, and myriad others---and the study of "network science" has thus become a crucial component of modern scientific education. The school "Complex Networks: Theory, Methods, and Applications" offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields. LECTURERS --- ELSA ARCAUTE, University College London --- SHWETA BANSAL, Georgetown University --- PETER DODDS, University of Vermont --- NEAVE O'CLERY, University College London --- VIOLA PRIESEMANN, Max Planck Institute for Dynamics and Self-Organization --- CLARA STEGEHUIS, Twente University ORGANIZING COMMITTEE STEFANO BATTISTON, University of Zurich --- GINESTRA BIANCONI, Queen Mary University of London --- VITTORIA COLIZZA, INSERM and Sorbonne Université, Paris --- JAMES GLEESON, University of Limerick --- PETTER HOLME, Tokio Institute of Technology --- YAMIR MORENO, University of Zaragoza --- CARLO PICCARDI, Politecnico di Milano --- MASON A. PORTER, UCLA PROGRAM Monday, 22 May, morning - Introduction to complex networks (Dodds) Monday, 22 May, afternoon - Network motifs (Stegehuis) Tuesday, 23 May, morning - Ousiometrics and Telegnomics: Distant and computational measurement of essential meaning, history, and stories (Dodds) Tuesday, 23 May, afternoon - no lectures Wednesday, 24 May, morning - Spreading dynamics I (Bansal) Wednesday, 24 May, afternoon - Spreading dynamics II (Priesemann) Thursday, 25 May, morning - short talks by students Thursday, 25 May, afternoon - no lectures Friday, 26 May, morning - Inter-industry labour flow networks (O’Clery) Friday, 26 May, afternoon - Urban complex systems (Arcaute) For information and application: ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Sponsored by SICC - Italian Society for Chaos and Complexity -- This message was sent to viola.priesemann(a)ds.mpg.de by info(a)ml.sicc-it.org. To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page <http://ml.sicc-it.org/mylist/lt.php?tid=LB9VBgAFVQRVWE5cUFIHGwVbXgcaDAMIUBQ…> in our newsletter system. To change your details and to choose which lists to be subscribed to, visit your personal preferences page <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GV1VaUFRXVE5VCgRWGwULX1QaVAMBUxR…>. Or you can opt-out completely <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GAwRUVFIFVU4GAFACGwUAUFEaVwZWCRQ…> from all future mailings. powered by phpList 3.6.10, © phpList ltd <http://ml.sicc-it.org/mylist/lt.php?tid=LB9XUARUV1NVBU5UC1YLGwUBUQMaDAhTVxQ…>

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PhD position 'Big Sleep Data'
by Martin Dresler Jan. 15, 2023

Jan. 15, 2023

Hi, We are looking for a PhD candidate (or junior postdoc) combining data science/AI, wearable EEG technology, and big sleep data at the Donders Institute in Nijmegen, NL. The project will focus on (i) developing a database for large datasets of neurophysiological sleep recordings together with multimodal analysis strategies/pipelines, and (ii) integration/fusion of neurophysiological data from different sensors with non-physiological data and annotations. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network "Lullabyte", working on the intersection of computer science, sleep research, and musicology; and the Donders Sleep & Memory Lab, working on the cognitive neuroscience of sleep and dreaming. Starting data is somewhat flexible within 2023, further info: https://dreslerlab.org/lullabyte Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Event Information: Human Brain Project Summit 2023 in Marseille
by HBP Education Jan. 13, 2023

Jan. 13, 2023

Dear Sir or Madam, I hope this e-mail finds you well. From 28 March to 31 March 2023 the last Human Brain Project Summit will take place in Marseille, France. Therefore, I am asking you to please share the following event information with your network and add it to your list of upcoming events: Join us in Marseille from 28-31 March for the Human Brain Project Summit 2023! The Human Brain Project Summit provides an open forum for hundreds of researchers, plus policy makers, media and public, to discuss exciting scientific results, the latest developments in the project, and the cutting-edge services and tools available on the EBRAINS Research Infrastructure. The event will highlight the excellent achievements of the HBP at the point when the ten-year Flagship project approaches its conclusion (in September 2023) and the legacy that it will leave for the brain research community. Register for the event here: https://summit2023.humanbrainproject.eu/registration/ <https://summit2023.humanbrainproject.eu/registration/> Would you like to present your research at the Summit? Make sure to submit your poster abstract! Two winners will have the opportunity to present their research to the audience in a 10-minute plenary talk. Submit your abstract here before 2 February: https://summit2023.humanbrainproject.eu/abstracts/ <https://summit2023.humanbrainproject.eu/abstracts/> Should you have any questions or require further information, please don’t hesitate to reach out to us. Thank you for your help. Best regards, HBP Summit Committee

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NeuroDataShare 2023 workshop and hackathon - Sainsbury Wellcome Centre London, Feb 20-23
by Padraig Gleeson Jan. 12, 2023

Jan. 12, 2023

(Apologies for cross posting) * * *NeuroDataShare 2023: Exploring and sharing multi-scale neuroscience data* Sainsbury Wellcome Centre, London, UK http://www.neurodatashare.org Modern experimental neuroscience is producing huge amounts of data at a rapidly increasing pace, with population recordings using multielectrode arrays and imaging and simultaneous behavioural data together with transcriptomics and anatomical reconstructions. While these data are useful to those who obtain them in the original studies, their value is magnified when they are shared in accessible formats with the wider community for use in new studies, and to investigate brain function from different perspectives. To facilitate this, many groups are developing tools, standardised languages and databases to help specify, analyse, visualise and share such data sets. *This meeting will bring together experimentalists, those offering infrastructure solutions for sharing data in neuroscience and those who wish to reuse, reanalyse and gain new insight into publicly available datasets.* The meeting will consist of a *2 day workshop of scientific presentations <http://www.neurodatashare.org/programme.html> (Mon 20th & Tues 21st Feb 2023)* at the Sainsbury Wellcome Centre <http://www.neurodatashare.org/directions> from leading neuroscientists who are generating data of different types across multiple scales, who are faced with issues of how to disseminate their output to other researchers. Scientific talks will be complemented by presentations from those developing the infrastructure to standardise and share data, and there will be discussions on the challenges and opportunities of greater data sharing in neuroscience. The second part of the meeting will be a smaller, more focussed *2 day hackathon <http://www.neurodatashare.org/hackathon.html> (Wed 22nd & Thus 23rd Feb 2023)* where PhD students, postdocs and PIs will get hands on demonstrations to get their data into standardised formats, including Neurodata Without Borders <https://www.nwb.org/>, as well as help with sharing the data on the Open Source Brain platform <https://www.v2.opensourcebrain.org/>. We look forward to welcoming you to London! NeuroDataShare organisers Padraig Gleeson, Angus Silver and Isaac Bianco.

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Postdoc position with Priebe/Seidemann/Taillefumier labs at University of Texas, Austin
by Taillefumier, Thibaud O Jan. 10, 2023

Jan. 10, 2023

The Departments of Neuroscience, Mathematics, and Psychology at UT Austin are inviting applications for a postdoctoral research position to work with Professors Nicholas Priebe, Eyal Seidemann and Thibaud Taillefumier. The position is funded by an NIH grant shared by the Priebe, Seidemann and Taillefumier labs. The grant focuses on explaining the origin and putative roles of the neural variability recorded in visual cortex during behavior. A significant component of the proposed work will consist of modeling and statistical analysis of simultaneous recordings of single-cell membrane potential and extracellular neural populations during a variety of behavioral tasks. Competitive candidates include those with a strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Applicants should have a PhD in computational neuroscience, system neuroscience, machine learning, or related quantitative fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for two or three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to Thibaud Taillefumier (thibaud(a)utexas.edu<mailto:thibaud@utexas.edu>), Eyal Seidemann (eyal(a)austin.utexas.edu<mailto:eyal@austin.utexas.edu>), or Nicholas Priebe (nico(a)austin.utexas.edu<mailto:nico@austin.utexas.edu>). The successful candidate will join a highly dynamic collaborative environment across the departments of Neuroscience, Mathematics, and Psychology and within the Center for Computational and Theoretical Neuroscience, all at UT Austin. Within this environment, the collaboration between the Priebe, Seidemann and Taillefumier research groups combines experimental, computational, and theoretical approaches to understand the neural basis for vision processing in the brain. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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Postdoc/PhD opening in information processing and criticality in neural networks
by Fabrizio LOMBARDI Jan. 10, 2023

Jan. 10, 2023

We are recruiting a talented postdoctoral researcher or PhD student to participate in the project BRAINCIP, “Brain-wide criticality and Information processing”. The project lies at the interface of physics and neuroscience, and aims to test key assumptions of the critical brain hypothesis by investigating in vivo the role of brain-wide critical neural dynamics in information processing and complex brain functions in the Zebrafish. To this end, state-of-the-art experimental techniques to follow and finely perturb brain dynamics will be combined with theoretical and computational approaches to large scale data analysis and modeling. The ideal candidate will have a quantitative background—e.g. PhD/Master in mathematics, physics, computer science—, and strong programming skills (e.g., Python, C/C++, Matlab), along with (preferable but not mandatory) experience in applying this background to neuroscience. Experience with data analysis is a plus, but it is not mandatory. The post doc will join the Department of Biomedical Sciences and the Padova Neuroscience Center and live in highly active and stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between February-June 2023. Interested candidates should contact Dr. Fabrizio Lombardi (fabrizio.lombardi(a)ist.ac.at<mailto:fabrizio.lombardi@ist.ac.at>) and Prof. Marco Dal Maschio (marco.dalmaschio(a)unipd.it<mailto:marco.dalmaschio@unipd.it>). Please include BRAINCIP and the position you are applying for (PhD or Postdoc) in the email subject.

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Call for applications for training and mentoring cohort in open science (OLS-7) [corrected]
by Mayya Sundukova Jan. 9, 2023

Jan. 9, 2023

Dear Comp-Neuro colleagues, The OLS-7 program run by Open Life Science is open for applications. Open Life Science is a non-profit organisation, registered in UK and providing structured global training, consulting and mentoring and community of practice. *Purpose*: Training for early stage researchers and young leaders interested in furthering their Open Science skills. Not limited to Life science and science. Community projects are very welcomed as well. *Process*: A 16-week mentoring & training program, based on the Mozilla Open Leader program, helping participants in becoming Open Science ambassadors by using three principles: - Sharing essential knowledge required to create, lead, and sustain an Open Science project. - Connecting members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - Empowering them to become effective Open Science ambassadors in their communities. ** Program is free, but requires registration in Openreview and application (simple one!) with a project where you would like to apply open skills ** You can check the recording of the application launch call from December 10th on Open Life Science youtube channel: https://youtu.be/shM2mVyLjxU And feel free to pop by on January 11th at the Application Clinic (Q&A) call. Registration and details: https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-506693121… More information: https://openlifesci.org/ols-7 Deadline is on the January 15th, and could be slightly extended. Feel free to reach out to the Open Life Science team at team(a)openlifesci.org Twitter: https://twitter.com/openlifesci Linkedin: https://www.linkedin.com/company/openlifesci/ Best, Mayya Sundukova, PhD in Neuroscience Resident Fellow at Open Life Science >

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Apply for Okinawa/OIST Computational Neuroscience Course 2023 till end of the month
by Erik De Schutter Jan. 9, 2023

Jan. 9, 2023

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

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Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tuebingen, Germany
by Li Zhaoping Jan. 8, 2023

Jan. 8, 2023

*Systems Vision Science Summer school & Symposium, Aug. 14-24, in Tübingen, Germany* *--------------------------------* Applications are invited for a brand new summer school designed foreveryone interested in gaining a systems level understanding ofbiological vision. We plan a coherent, graduate-level, syllabus on theintegration of experimental data with theory and models, featuringlectures, guided exercises and discussion sessions. The summer schoolwill end with a Systems Vision Science symposium on frontier topics,with talks and posters by additional participants. All summer school participants are invited to attend the symposium, and are welcome to submit contributions. *--------------------------------* ***Invited lecturers and speakers include:*Assaf Breska, Peter Dayan, Andrea van Doorn,Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink,Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. *******--------------------------------* Please apply**via_https://summerschool.lizhaoping.org/application_<https://summerschool.lizhaoping.org/application/>* by**** March 31, 2023.* Please check out our webpage_https://summerschool.lizhaoping.org_<https://summerschool.lizhaoping.org>to find more out about the program, our invited lecturers/speakers,and other details. Please direct inquiries to___svs.summerschool(a)tue.mpg.de_<mailto:svs.summerschool@tue.mpg.de> *******--------------------------------* *Organizing team:* Li Zhaoping, Ulf Lüder, Maria Pavlovic, Junhao Liang *__**_Max Planck Institute for Biological Cybernetics_*<https://www.kyb.tuebingen.mpg.de/en>**** *__**_University of Tuebingen_*<https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/>**** *__**_www.lizhaoping.org_* <http://www.lizhaoping.org>

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ANNOUNCEMENT: comp-neuro has moved to new host
by Erik De Schutter Jan. 7, 2023

Jan. 7, 2023

Dear comp-neuro subscriber, I am glad to announce that the comp-neuro mailing list has moved to a new home. This was necessary because the previous set-up became increasingly hard to maintain since I left the University of Antwerp. As a consequence it became difficult for aspirant members to subscribe and mails were sometimes delayed. The mailing list has now moved to a cloud based home and runs a more recent version of the software. I expect this will provide a stable solution with a better service. Appropriately, it is now managed by the Organization for Computational Neurosciences. Please encourage your colleagues, collaborators, students, etc who are not member yet to subscribe to comp-neuro, now that the website works again. From now on please use: - Email to post to mailing list: comp-neuro(a)lists.cnsorg.org - Email to contact admin/moderators: comp-neuro-owner(a)lists.cnsorg.org - Webpage of mailing list (to subscribe / unsubscribe / view archives): https://www.cnsorg.org/comp-neuro-mailing-list Erik De Schutter Okinawa Institute of Science and Technology

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DEADLINE EXTENDED - Postdoc opening in computational analysis of electrophysiological data (FunSy team - Strasbourg)
by BATTAGLIA Demian Jan. 5, 2023

Jan. 5, 2023

We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team – FunSy, https://funsyteam.org<https://funsyteam.org/>). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498) We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). EXTENDED DEADLINE FOR APPLICATION: January 22nd 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr<mailto:dbattaglia@unistra.fr> Romain Goutagny, goutagny AT unistra.fr<mailto:goutagny@unistra.fr>

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Postdoc Fellowships in new Center at Washington University in St Louis
by Goodhill, Geoffrey Jan. 4, 2023

Jan. 4, 2023

Dear Comp-Neuro, Washington University in St Louis has now launched a new Center for Theoretical and Computational Neuroscience, ctcn.wustl.edu. This is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. The CTCN is now recruiting a cohort of outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs and help forge new collaborations. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, as well as being quite affordable. For more details on this prestigious Fellowship opportunity, including how to apply, please see ctcn.wustl.edu. Review of applications will begin on Jan 30th and continue until the positions are filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Allen Institute Modeling Software Workshop
by Anton Arkhipov Jan. 4, 2023

Jan. 4, 2023

Happy New Year, everyone! Please join us for the Allen Institute Modeling Software Workshop in beautiful Seattle, on July 13-14, 2023! https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, multi-compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on February 15. All applicants will be notified of the status of their application by April 15. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Jan. 3, 2023

Jan. 3, 2023

Modeller’s Workshop for the Brain Dynamics Toolbox. An online course for those who wish to simulate user-defined dynamical systems using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org>). This is a self-paced course with a practical focus on the art of programming differential equations. Video lectures guide the student through every step of building the model. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Reference Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Postdoc position - Cheng Lab - Application deadline extended
by Vinita Samarasinghe Jan. 2, 2023

Jan. 2, 2023

*The application deadline for this position has been extended until 31.01.2023 * *Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation, Faculty of Computer Science* Prof. Sen Cheng, Institute for Neural Computation, Faculty of Computer Science at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts as soon as possibleand is funded until 30.06.2025. *Job description* The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is January 31^st , 2023. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK
by Lei Zhang Dec. 30, 2022

Dec. 30, 2022

--- Happy New Year & Apologize for cross-posting --- **2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK** Dr. Lei Zhang (https://lei-zhang.net/) is looking for 2x PhD students interested in the cognitive, computational, and neural basis of (social) learning and decision-making in health and disease. The deadline for applications is in January 2023 to start in autumn 2023. The newly opened ALP(E)N Lab (Adaptive Learning Psychology and Neuroscience Lab) addresses the fundamental question of the “adaptive brain” by studying the cognitive, computational, and neurobiological basis of (social) learning and decision-making in healthy individuals (across the lifespan), and in psychiatric disorders. We combine an array of approaches including neuroimaging, patient studies and computational modelling (particularly hierarchical Bayesian modelling) with behavioural paradigms inspired by learning theories. The lab has a strong emphasis on equality, diversity and supporting lab members to thrive. The lab is based at the Centre for Human Brain Health ( https://birmingham.ac.uk/research/centre-human-brain-health/index.aspx) and Institute of Mental Health ( https://birmingham.ac.uk/research/mental-health/index.aspx) at the University of Birmingham, UK, with access to exceptional facilities including MRI, MEG, TMS, and fNIRS. Funding is available through two competitive schemes from the BBSRC ( https://www.ukri.org/councils/bbsrc/) and MRC ( https://www.ukri.org/councils/mrc/) that provide a stipend, fees (at UK rate) and a research allowance, amongst other benefits. International (ie, outside UK) applicants are welcome. The BBSRC project "Unravelling adaptive and flexible learning behaviour under social dynamics in health and disease" is in collaboration with Dr. Matthew Apps (Birmingham). Link to details: https://www.findaphd.com/phds/project/unravelling-adaptive-and-flexible-lea… The MRC Project "Neurocomputational mechanisms of self-referencing in social anxiety" is in collaboration with Dr. Patricia Lockwood (Birmingham), Dr. Mark Haselgrove (Nottingham) and Dr. Mona Garvert (London, as Industry Partner) Link to details: https://www.findaphd.com/phds/project/neurocomputational-mechanisms-of-self… Interested candidates should first send their CV and a short statement of research intentions by 9th January 2023 to Dr. Lei Zhang ( l.zhang.13(a)bham.ac.uk) before applying through the schemes, as only a small number of applicants can be put forward. Informal inquiries should also be directed to Dr. Lei Zhang. Many thanks, Lei Dr. Lei Zhang Principal Investigator/Associate Professor Centre for Human Brain Health & Institute for Mental Health School of Psychology University of Birmingham, UK e: l.zhang.13(a)bham.ac.uk w: lei-zhang.net t: @lei_zhang_lz

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Okinawa/OIST Computational Neuroscience Course 2023
by Erik De Schutter Dec. 26, 2022

Dec. 26, 2022

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

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TR: MSc internship offer (dynamical systems for neurosciences)
by DEPANNEMAECKER Damien Dec. 25, 2022

Dec. 25, 2022

MSc Internship Project: Dynamical study of a mean-field model of neural network activity driven by biophysical ion exchange mechanisms Project description. In neuroscience, the question of scales is central, ranging from the molecule to the whole brain. In theoretical and computational neuroscience, it is possible to model these different scales and to build the link between them [1]. In particular to describe the activity on the scale of a population of neurons by a mean-field approach, capturing some aspects of the corresponding spiking network. A recently derived mean-field model of a biophysical description of neuronal excitability shows abilities to capture synchronized activities observed in pathological states, such as seizures [2]. The system obtained is a compound of coupled differential equations which can be studied by applying timescale separation methods [3, 4]. This model is a candidate to be used within The Virtual Brain [5] for clinical applications. A detailed characterization is therefore essential. Main objectives. 1. To identify the different dynamical regimes of this model, in particular in a parameter configuration corresponding to a healthy state; 2. To determine the different timescales involved in this system; (and possibly) 3. To start a bifurcation study for identified biophysical parameters of interest. Period. Some time in 2023, in accordance with the schedule of the candidate’s courses. Location. One or both of the following addresses: Institut de Neurosciences des Systèèmes AMU Faculty of Medicine 27, Boulevard Jean Moulin 13005 Marseille, France and/or Inria centre at Université Côte d’Azur MathNeuro Project team 2004 route des Lucioles - BP 93 06902 Sophia Antipolis, France Supervisors. Damien Depannemaecker <https://www.researchgate.net/profile/Damien-Depannemaecker> (Aix-Marseille Université) and Mathieu Desroches <https://www-sop.inria.fr/members/Mathieu.Desroches/> (Inria). How to apply. Interested candidates should send a CV and a short motivation letter expressing their interest and skills for this project to: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr> and damien.depannemaecker(a)univ-amu.fr<mailto:damien.depannemaecker@univ-amu.fr>. Selected candidates will be invited to an interview, which may take place online. For candidates requiring a visa for the EU, a period of at least three months is necessary to obtain the documents. Candidate profile. The candidate from an MSc (M2) or an engineering school must have an interest and skills in dynamical systems as well as for neuroscience. Having at least basic programming knowledge (e.g. python or matlab) is necessary for this internship. The involvement and motivation of the candidate, as well as the ability to be organized and proactive, are essential criteria in the selection of the candidate. There could be perspectives of following up with a PhD. References 1. Depannemaecker D, Destexhe A, Jirsa V, Bernard C. Modeling seizures: From single neurons to networks. Seizure. 2021 Aug;90:4–8. Available from: http://dx.doi.org/10.1016/j.seizure.2021.06.015. 2. Bandyopadhyay A, Rabuffo G, Calabrese C, Gudibanda K, Depannemaecker D, Ivanov A, et al. Mean- field approximation of network of biophysical neurons driven by conductance-based ion exchange. bioRxiv. 2022. Available from: https://www.biorxiv.org/content/early/2022/12/03/2021.10.29.466427. 3. Desroches M, Rinzel J, Rodrigues S. Classification of bursting patterns: A tale of two ducks. PLoS Com- putational Biology. 2022;18(2):e1009752. Available from: https://journals.plos.org/ploscompbiol/ article?id=10.1371/journal.pcbi.1009752. 4. Saggio ML, Spiegler A, Bernard C, Jirsa VK. Fast–Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes. The Journal of Mathematical Neuroscience. 2017 Jul;7(1). Available from: http://dx.doi.org/10.1186/s13408-017-0050-8. 5. The Virtual Brain;. Available from: https://www.thevirtualbrain.org/.

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Women in Memory Research 2023
by Vinita Samarasinghe Dec. 22, 2022

Dec. 22, 2022

The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (double room occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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Bernstein Conference 2023
by FM-bernstein.communication Dec. 22, 2022

Dec. 22, 2022

Dear colleagues, We are pleased to announce the Bernstein Conference 2023, which will be again in Berlin. Please highlight September 26-29, 2023, in your calendar. Check out our website and social media channels, where we will keep sharing new and detailed information as we progress. Season's greetings and a happy new year! Your Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: BernsteinNeuro LinkedIn: Bernstein Network Computational Neuroscience Mastodon: BernsteinNetwork(a)mastodon.world ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc opening in analysis of complex hippocampal oscillations (Demian Battaglia and Romain Goutagny's FunSy team, Strasbourg)
by BATTAGLIA Demian Dec. 20, 2022

Dec. 20, 2022

We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team – FunSy, https://funsyteam.org<https://funsyteam.org/>). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498) We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). DEADLINE FOR APPLICATION: January 15th 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr<mailto:dbattaglia@unistra.fr> Romain Goutagny, goutagny AT unistra.fr<mailto:goutagny@unistra.fr>

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New Book: Introducing Computation to Neuroscience – Selected Papers of George Gerstein
by Dr. David Goyer Dec. 20, 2022

Dec. 20, 2022

Prof. Sonja Grün (INM-6, INM-10 & IAS-6; Jülich Research Center), together with colleagues Profs. A. Aertsen, P.E. Maldonado and G. Palm, recently published the book “Introducing Computation to Neuroscience – Selected Papers of George Gerstein <https://link.springer.com/book/10.1007/978-3-030-87447-6>”. George Gersteinhad his roots in physics and was known for his long-term commitmentto transformingneuroscience intoa field ofmore rigorous science, like physics was at the time. With this, hewas miles ahead of the ﬁeld, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. Eventually, he pioneeredwhat we now know asComputational Neuroscience-many years before the term was coined. But the overarching goal of George Gerstein’s research was always to understand the functional organization of neuronal networks in the brain. Prof. Grün and the editors nowhave compiled a selection of George Gerstein’s many seminalexperimental, theoretical andcomputational contributions to neuroscience into a single, comprehensive volume. They also provide a fresh view on the subjects of his work, as several of George Gerstein’s former students and collaborators kindly contributed introductionsto various chapters.This does not onlyframethe papers in their historical and present context, it alsoaddsthepersonal touch of their involvement in generating the papersand gives a glimpse into lab life. The book itselfis organized intoa series of chapters with differentsubjects, each one containing reprintsof George Gerstein’s papersin chronological order. Thereby, each of these chapters traces the developmentof George Gerstein’s seminal contributions to the Neurosciences, be it in the domain of neuron and network modeling or in the area of neuronal data analysis techniques. In the words of the editors: "/We hope that, taken together, these various Chapters and their Introductions will help the reader appreciate how much our current thinking on brain function owes to George Gerstein’s research and the insights gained from it. George was not only an innovative thinker in theory, experiment and analysis methodology, he also inspired by his mode of thinking science. Thus, in a way, this book is both a product of this inspiration and a tribute to it./" -- Dr. David Goyer 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 phone: +49-1756402993

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[Jobs] 2 Year independent Postdoc at the Institute for Neural Computation, Bochum, Germany
by Laurenz Wiskott Dec. 19, 2022

Dec. 19, 2022

The Institute for Neural Computation of the Faculty for Informatics is looking for a postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39,83 hours per week, E13 TVL The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. extent: full-time duration: temporary beginning: as soon as possible application deadline: 21.11.2022 Your tasks: Independent research projects and publications. Acquiring third party funding. Teaching. A lot of room for own ideas and initiatives. Supervising student projects and your own PhD projects. Active participation in the local research environment. Your profile: Active participation in the local research environment. Solid knowledge in Computational Neuroscience. Potential to develop an original independent research agenda in one of the above-mentioned topics. Our offerings: An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning. Opportunity to develop an independent research profile and your own research group. Opportunity to pursue further scientific qualification. A lot of room for own ideas and initiatives. Additional information: At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. ANR: 1267 until 2023-01-02 Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de. Official job announcement: https://jobs.ruhr-uni-bochum.de/jobposting/360e82936d27d5749b276888153c2cb1…

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Post-doc position with Friedemann Zenke at the FMI, Switzerland
by Friedemann Zenke Dec. 19, 2022

Dec. 19, 2022

The Computational Neuroscience Group, led by Friedemann Zenke at the Friedrich Miescher Institute in Basel, Switzerland (www.fmi.ch) is looking for a post-doctoral researcher. Position available from the beginning of 2023 (or later). Topics of interest include • Learning algorithms (bio-inspired self-supervised learning and credit assignment) • Spiking neural networks (sparsity, neuronal complexity, efficient training) • Continual learning (synaptic consolidation and circuit mechanisms) • Neuromorphic computing (online learning and dynamic neural networks) • Information representation in biological and artificial neural networks See www.zenkelab.org for more information. The position • Conduct research in computational neuroscience and bio-inspired machine intelligence. • Write research articles and present them at international conferences. • Publish in neuroscience journals and machine learning venues such as ICML, NeurIPS, ICLR, etc. • Interact and collaborate with experimental neuroscience groups or neuromorphic hardware developers nationally and internationally. Ideal profile • You are passionate about neural networks and enjoy tackling difficult research questions. • You hold a Ph.D. from a related discipline and are a team player. • You have published and possess solid analytical and programming skills. • Fluency in English, both spoken and written, is required. We offer • A diverse international work environment with room to develop one's project. • The option to collaborate with leading experimental groups in circuit neuroscience. • A vibrant lab environment with the possibility to acquire supervision experience if desired. • Opportunities to travel to international conferences or summer schools. • Competitive salary, professional career development, benefits, and working conditions. For more details, see https://www.fmi.ch/education-careers/postdoc-activities/. Application If interested, please get in touch with friedemann.zenke(a)fmi.ch. Please include: • CV (including publication list) • A brief statement of research interest • Contact details of two to three references -- www.zenkelab.org

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World's first Master of Neuromorphic Engineering courses
by Bharath Ramesh Dec. 19, 2022

Dec. 19, 2022

Dear Engineers, scientists and computational neuroscience enthusiasts, The International Centre for Neuromorphic Systems, Western Sydney University, invites both domestic and international students to apply for the world’s first Master of Neuromorphic Engineering courses. We offer several programs, including a Graduate Certificate, a Graduate Diploma, a 1.5-year industry-oriented degree and a two-year research-oriented Master’s course in Neuromorphic Engineering. We seek dedicated, curious and open-minded scientists, engineers, physicists, electronics tinkerers, hardware and software hackers, and roboticists from diverse backgrounds. The course builds on the research background of our Neuromorphic Engineering and Event-Based Processing research staff. Successful applicants will receive significant mentorship. Mentors and course instructors will equip students with special digital vision and audition processing capabilities which are rarely taught at other Universities in the world. Mentors and instructors will provide students with opportunities to apply skills learned to practical projects which align with industry need. Although the post graduate courses will equip graduates with many in-demand machine-learning techniques, Neuromorphic Engineering researchers go beyond status-quo Machine Learning so that they can find solutions to issues that block progress in AI machine learning sensing and computer vision. Neuromorphic Engineering seeks to progress beyond failures in regular machine learning approaches as conventional approaches usually fail to generalise, are not environmentally sustainable, and are poorly suited to high-stakes time-critical low-powered applications. Currently demonstrated applications of Neuromorphic Engineering range from space tracking, intelligent sensing, online learning, one-shot learning, computer vision, computer listening, anomaly detection, remote sensing, lightning characterisation, surveillance applications, biological modelling and medicine. The course is currently accepting applications for 2023 entry. If you are considering any of these courses, we recommend applying now. The application deadline is February 2023. For more information about the course, please visit: Master of Applied Neuromorphic Engineering | Western Sydney University<https://www.westernsydney.edu.au/future/study/courses/postgraduate/master-o…> https://student-westernsydney.studylink.com/index.cfm?event=security.showLo… HOW TO APPLY: Submitting an online application is easy and free for Australian and New Zealand students. Applications for students we sincerely welcome applications outside of Australia and these external applications require a small processing fee. Successful applicants will be eligible for an Australian student VISA. Simply click on THIS LINK<Postgraduate students | Western Sydney University<https://www.westernsydney.edu.au/future/study/how-to-apply/postgraduate-stu…>> and follow the instructions. Western Sydney has a five-star ranking in 5-star ranking in: Teaching, Employability, Internationalisation, Facilities, Innovation, Inclusiveness Western Sydney is Ranked 1st in the world for commitment to the U.N. Sustainable Development Goals (SDGs). Furthermore, it is ranked 3rd in the world for SDG 5: Gender Equality and 4th in the world for SDG 10: Reducing Inequalities. See this link for more information: https://www.westernsydney.edu.au/future/why-western/global-rankings#overall<https://www.westernsydney.edu.au/future/why-western/global-rankings%23overa…> For any questions, please do not hesitate to get in touch. Bharath Ramesh, PhD b.ramesh(a)westernsydney.edu.au

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Error forward propagation: Feedforward Closedloop Learning (FCL)
by Bernd Porr Dec. 18, 2022

Dec. 18, 2022

Dear all, There has been a lot of interest recently in performing deep learning without backprop - papers by Geoff Hinton and Barak Pearlmutter in particular showing how supervised and self-supervised learning can be achieved solely with forward message propagation. We wanted to mention here our own work dating back to 2019, in which we realised real-time reinforcement learning in a closed-loop setting via the forward propagation of error signals. Naturally forward propagation has the attraction of biological feasibility, but from our point of view the more important point is that error signals are then defined in the space of sensory inputs rather than motor outputs, which makes a lot more sense in the context of a self-contained autonomous agent. Rather than the reward functions of Q learning, we use reflex circuits to generate the errors: the goal of sensory learning is to predict disturbances before they occur, thereby silencing the reflex. To see the system in operation, here is a real robot learning a simple line-following task, where the system initially uses a light sensor to drive a reflex steering action, and learning discovers predictive information from vision which pre-empts this reflex: https://sigmoid.social/@berndporr/109534507823054808 Because the algorithm works for deep networks, arbitrarily complex predictive cues can in principle be discovered. Source code and paper: https://github.com/glasgowneuro/feedforward_closedloop_learning We would be highly interested to hear views on this approach. /Bernd Porr and Paul Miller -- http://www.berndporr.me.uk http://www.attys.tech +44 (0)7840 340069

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Sixth Groningen Spring School on Cognitive Modeling
by Thomas Dec. 16, 2022

Dec. 16, 2022

____________________ Sixth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs – Date: 27-31 March 2023 Location: Groningen, the Netherlands Fee: € 305 (late fee after February 26 will be € 355) More information and registration: www.cognitive-modeling.com/springschool ____________________ Dear colleagues and students, We are excited to announce the sixth Spring School on Cognitive Modeling in Groningen, from 27-31 March 2023! This time, the Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials). Past years have shown that students get most out of the spring school if they really emerge themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only. To give students a broader picture, there will also be three guest lectures throughout the week. These lectures each give an introduction to yet another modeling paradigm: accumulator models (Leendert van Maanen), error-driven learning models (Jacolien van Rij), and dynamical systems (Herbert Jäger). Everyone is encouraged to attend those lectures. To round of the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner. Registration is now open. Please feel free to forward the information to anyone who might be interested in the Spring School. We are looking forward to welcoming you (again) in Groningen, The Spring School team springschool(a)rug.nl ______________ ACT-R Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo) Website: http://www.nengo.ca Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. ______________ — Thomas Tiotto, PhD Candidate, CogniGron - Groningen Cognitive Systems and Materials University of Groningen Nijenborgh 9, 9747 AG Groningen, The Netherlands Email: t.f.tiotto(a)rug.nl Profile: https://www.rug.nl/staff/t.f.tiotto/ Office: 5161 0318 Sent with Spark

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Call for Papers - IEEE T-MBMC - Special Issue on Bio-Chem-ICTs
by Murat Kuşcu Dec. 15, 2022

Dec. 15, 2022

IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 15 March 2023 First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

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Interdisciplinary PhD program in London, UK
by Silver, Angus Dec. 15, 2022

Dec. 15, 2022

Interdisciplinary PhD program in London, UK – call for 2023 applications – deadline 10th January. The London Interdisciplinary Biosciences Consortium (LIDo) Doctoral Training Partnership (DTP) is a BBSRC funded collaborative partnership offering world-class interdisciplinary research. LIDo unites an exciting team of outstanding universities and unique specialist institutions to provide innovative cutting-edge interdisciplinary research in the heart of one of the world's most vibrant and scientifically stimulating cities. LIDo will be offering 41 fully funded studentships in September 2023 across our DTP and iCASE routes of entry; these include home tuition fees and a tax-free stipend in the region of £19,668. A maximum of 11 of these positions can be offered to students eligible for overseas fee rates, where LIDo will cover the full fee amount. DTP Route In the first year of the programme DTP students will undertake two 4-month research projects in different partner institutions, selecting from a catalogue of over 200 topics. The choice of PhD topic is finalised after the second rotation project. Research opportunities are available across the breadth of BBSRC remit. Exemplar projects can be found on our website: https://www.lido-dtp.ac.uk/projects and DTP students will have the opportunity to contact potential supervisors in the Spring ahead of our call for projects. LIDo is particularly keen to welcome students from mathematics, computer science, engineering and the physical sciences who are eager to apply their skills and experience to biological problems and students from the plant sciences for exciting new projects available at our specialist academic and associate partners. All DTP students undertake a compulsory 3-month internship (PIPS) during their PhD to gain experience and context for careers where the transferable skills developed during their PhD programme can be usefully employed. iCASE Route Industrial collaborative (iCASE) students begin working on their named project from the start of the course. These projects represent genuine partnerships between academics within the LIDo consortium and industrial colleagues, allowing students to experience both distinctive environments in a mutually productive and supportive team and an extended placement of 3-18 months with their non-academic partner. Training and Cohort Building During the first-year, students will receive advanced training in fundamental and advanced mathematical, computational, and statistical skills for interdisciplinary and systems biology research. Expert in-house training in biological concepts and exposure to the history, trends and structure of the biotechnology and pharmaceutical industries make up the remaining first year teaching. Each year a week of cross research council remit teaching cushions the two rotations providing students the opportunity to hear from academic, industry, government, and not-for-profit speakers on a range of topics in the boundaries of BBSRC remit. The extraordinary LIDo teaching and research-intensive environment sits within a framework of robust and established cohort building activities, culminating each year in an academic retreat for the students. Application We enthusiastically invite applications by all highly motivated students from a wide range of academic backgrounds including biological, physical, computational, engineering or mathematical disciplines. Applicants must hold, or be expected to achieve, a first or high upper second-class honours degree (or equivalent), or an MSci or other Masters degree. For details on how to apply and the link to our online application form please go to: www.lido-dtp.ac.uk/apply<http://www.lido-dtp.ac.uk/apply> The application window will close on Tuesday 10th January 2023 at 5pm. R. Angus Silver, FRS Professor of Neuroscience and Wellcome Trust Principal Research Fellow Department of Neuroscience, Physiology and Pharmacology University College London Gower Street London WC1E 6BT Tel : 020 7679 7830 www.ucl.ac.uk/silverlab/

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Associate Research Scholar at Columbia University
by Michael Woodford Dec. 15, 2022

Dec. 15, 2022

*Position for Associate Research Scholar with the Cognitive and Behavioral Economics Initiative, Columbia University* The Cognitive and Behavioral Economics Initiative (CBEI) at Columbia University invites applications for an Associate Research Scholar (ARS) position to begin May 1, 2023 or later. The appointment will initially be for one year but is renewable based on satisfactory performance and availability of funding. The Associate Research Scholar will facilitate research on number cognition and the role of imprecise number representations as a source of errors and biases in economic decisions. A focus of the research will be the comparative evaluation of alternative quantitative models of the resource constraint that limits the precision of number representations, and the way in which these representations change depending on the statistics of the decision problems that are presented and, on the time allowed for mental processing. The Associate Research Scholar will conduct behavioral experiments, develop and test computational models of cognitive processes, and participate in data analysis and manuscript preparation, under the direction of Prof. Michael Woodford. *Qualifications* Applicants must have a Ph.D. in Economics, Neuroscience, Computer Science, Physics, or a related discipline, and at least three years of postdoctoral experience in related research. The ideal candidate will have strong computational skills, and experience conducting behavioral experiments, as well as superior motivation, drive, and demonstrated aptitude for research. Previous experience with interdisciplinary collaboration is strongly desired. For additional details and instructions for how to apply, see the job posting at https://academic.careers.columbia.edu/#!/108222.

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Spring School INTERDISCIPLINARY COLLEGE 2023: Invitation to Participate
by Herbert Jaeger Dec. 14, 2022

Dec. 14, 2022

The Interdisciplinary College (https://interdisciplinary-college.org/) is an annual one-week spring school, now in its 24th year. It offers a dense 4-track state-of-the-art course program in the wider sciences of intelligent/cognitive systems: Cognitive and Computational Neuroscience, Psychology, Machine Learning, AI and Philosophy. The perspective and mission is decidedly interdisciplinary. The 2023 event will take place in Guenne, Lake Moehne, Germany, on March 12-17, 2023 Chairs: Elisabeth Zimmermann, Gregor Schöner Each IK is centered on a *focus theme*. In 2023 the focus is on the role that physical interaction of an agent (with the environment, other agents, or its own body) plays for cognition. An offering of about 25 courses (each course 4-6 hours) is grouped under the perspectives of Movement & Bodily Experience; Neural Dynamics and Grounded Cognition; Experiencing Self and Others; Engaging with Technology & Things. The IK is also a unique social and networking event. Minds meet, music is played, and friends are made in long evening and night sessions in the welcoming conference site at Lake Moehne. While the IK has traditionally been mainly a European event, participants from outside Europe are highly welcome! Please visit https://interdisciplinary-college.org/ for the detailed program, venue and registration and everything else, including the IK's 40-year (pre-)history, and a totally seductive 6-min video on the startpage. --- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 web: www.ai.rug.nl/minds/ -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 web: www.ai.rug.nl/minds/

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Computational Neuroscience PhD position - Newcastle, UK
by Andrej Bicanski Dec. 12, 2022

Dec. 12, 2022

Dear Colleagues, Please circulate this to any students that may be interested in a computational neuroscience PhD. The Topic: Modelling the staggered development and the decline with age of spatial coding in the mammalian brain + data analysis of single neuron recordings. In particular, the student will model the interactions between various spatial cells (head direction, place cells, etc) - e.g., in Matlab/Python. Candidates: This could be an interesting project for neuroscience/psychology graduates wanting to get into modelling. Students from outside these fields with a quantitative/programming background are welcome to apply too. Where: In sunny Newcastle, North UK, at Newcastle University, UK (with me), with a rotation in the lab of Prof. Colin Lever (Durham, UK, co-supervisor) Funding: Fully funded, for 4 years by the BBSRC. International and UK students can apply. Fees are covered! BBSRC Liverpool/Durham/Newcastle DTP3 scheme. Deadline: 9th of January Link: https://www.findaphd.com/phds/project/modelling-the-staggered-development-a…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…> For more info on the application process visit the BBSRC DTP website: https://www.nld-dtp.org.uk/how-apply<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nld-d…> Happy to receive informal inquiries prior to application. Best wishes, Andrej Dr Andrej Bicanski School of Psychology & Biosciences Institute Faculty of Medical Sciences Newcastle University www.andrejbicanski.com

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COSYNE 2023: Travel grants, Registration, Tutorials
by Tomas Hromadka Dec. 9, 2022

Dec. 9, 2022

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open. Travel grants applications are now open. Travel grant application deadlines *31 December 2022, 11.59PM PST (Undergraduate Travel Grant)* 24 January 2023, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2023 will host tutorial sessions on 09 March 2023. For details on Cosyne tutorials please visit www.cosyne.org/tutorials. Cosyne 2023 Tutorial Session Sponsored by the Simons Foundation Topic: Methods in Reinforcement Learning for Neuroscience Speaker: Kimberly Stachenfeld (DeepMind) Kimberly Stachenfeld is a Research Scientist at DeepMind. Her research spans topics in Computational Neuroscience and Machine Learning, and focuses on the general question of how to learn structured, expressive world models that enable flexible reasoning. In ML, she is specifically interested in methods and applications for learned forward models using graph neural networks, and in Neuroscience, she mainly works on mathematical models of hippocampal representations to efficient, scalable RL learning. Learn to Use the International Brain Laboratory (IBL) Brainwide Map Dataset Tutorial The IBL recently released a Brainwide Map of neural activity during decision-making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain, and we want to make it easy for you to use it to test your own hypotheses. At this tutorial we’ll teach you how to use our API, ONE, to search and download datasets, and will show you how to do basic analysis such as raster plots, single cell PSTHs, and brain region averages. INVITED SPEAKERS Demba Ba (Harvard University) Camilla Bellone (University of Geneva) Frans de Waal (Emory University) Tatiana Engel (Cold Spring Harbor Laboratory) Robert Froemke (New York University) Catherine Hartley (New York University) Sheena Josselyn (SickKids) Adam Kepecs (Washington University) Tim Lillicrap (DeepMind) Mackenzie Mathis (École Polytechnique Fédérale de Lausanne) Srdjan Ostojic (École Normale Supérieure) Anne-Marie Oswald (University of Chicago) Nathalie Rochefort (University of Edinburgh) Maryam Shanechi (University of Southern California) Kimberly Stachenfeld (DeepMind) ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details.

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