January 2023 - Comp-neuro - lists.cnsorg.org

Python Package: SER model
by Fabrizio Damicelli 08 Aug '24

08 Aug '24

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)
by Kenji Doya 21 Oct '23

21 Oct '23

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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Funded PhD Scholarship in Developmental Neurorobotics at Sheffield Hallam University (UK)
by Di Nuovo, Alessandro 16 Feb '23

16 Feb '23

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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Postdoctoral fellowship at the Gatsby Unit
by Lin, I-Chun 31 Jan '23

31 Jan '23

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 31 Jan '23

31 Jan '23

*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 30 Jan '23

30 Jan '23

*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 30 Jan '23

30 Jan '23

*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 30 Jan '23

30 Jan '23

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 30 Jan '23

30 Jan '23

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 30 Jan '23

30 Jan '23

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 26 Jan '23

26 Jan '23

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 26 Jan '23

26 Jan '23

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 26 Jan '23

26 Jan '23

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 25 Jan '23

25 Jan '23

*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) 25 Jan '23

25 Jan '23

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 25 Jan '23

25 Jan '23

**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 25 Jan '23

25 Jan '23

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 24 Jan '23

24 Jan '23

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 24 Jan '23

24 Jan '23

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 24 Jan '23

24 Jan '23

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 24 Jan '23

24 Jan '23

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 24 Jan '23

24 Jan '23

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 20 Jan '23

20 Jan '23

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 19 Jan '23

19 Jan '23

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 19 Jan '23

19 Jan '23

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 18 Jan '23

18 Jan '23

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 18 Jan '23

18 Jan '23

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 18 Jan '23

18 Jan '23

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 16 Jan '23

16 Jan '23

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 16 Jan '23

16 Jan '23

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 15 Jan '23

15 Jan '23

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 13 Jan '23

13 Jan '23

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 12 Jan '23

12 Jan '23

(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 10 Jan '23

10 Jan '23

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 10 Jan '23

10 Jan '23

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 09 Jan '23

09 Jan '23

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 09 Jan '23

09 Jan '23

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 08 Jan '23

08 Jan '23

*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 07 Jan '23

07 Jan '23

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 05 Jan '23

05 Jan '23

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 04 Jan '23

04 Jan '23

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 04 Jan '23

04 Jan '23

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 03 Jan '23

03 Jan '23

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 02 Jan '23

02 Jan '23

*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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