December 2025 - Comp-neuro - lists.cnsorg.org

Call for Application: Systems Vision Science Virtual Summer School & Symposium: July 8th – July 31st, 2026

by Pavlovic, Maria

Systems Vision Science Virtual Summer School & Symposium: July 8th - July 31st, 2026 -------------------------------- Applications are invited for a <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> virtual edition of the Systems Vision Science Summer School and Symposium that took place in Max Planck Institute for Biological Cybernetics in Tuebingen, Germany in August 2023 <https://summerschool.lizhaoping.org/editions-in-previous-years/> and August 2025 and virtual in 2024. This year, the virtual edition enables students to attend from afar by formal lectures via Zoom and informal and social communications via a Slack channel. Systems Vision Science combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. This summer school is designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models. The syllabus content will be very similar to the edition in 2024 <https://summerschool.lizhaoping.org/points-policies-prizes/> . Experience or knowledge in (A) computational methods, (B) visual psychophysics, and (C) vision neuroscience, is not required. However, experience in at least one of (A), (B), and (C), and a readiness to learn, is expected. The Summer School will be followed by a Systems Vision Science Virtual Symposium on July 31st. All admitted summer school students will be invited to attend this symposium and are encouraged to submit for a presentation at the symposium. The symposium will also feature two invited keynote presentations. A certificate of completion of the summer school course will be provided after the student's successful completion of the summer school. -------------------------------- Important Dates: March 28, 2026 Deadline for applications April 10, 2026 Notification of acceptance April 27, 2026 Registration fees due July 8 - Virtual Systems Vision Science Summer School takes place July 30, 2026 (formal lectures via Zoom and informal and social communications via a Slack channel) July 31, 2026 Virtual Systems Vision Science Symposium takes place (3 -7 pm German time) -------------------------------- Please click here <https://summerschool.lizhaoping.org/application-virtual-svs/> to find more details and to apply by March 28, 2026. Summer School admission will be based on interest/motivation and prior knowledge/experience of the applicants, and on how much the applicants could benefit from participation. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Franziska Lohrmann Max Planck Institute for Biological Cybernetics University of Tuebingen www.summerschool.lizhaoping.org

Dec. 19, 2025

Job Offer - Research Assistant - Neuroinformatics - Dynamical Systems (Prof. Dr. Gordon Pipa) - Institute of Cognitive Science

by Prof. Dr. Pipa

The Neuroinformatics research group (Prof. Dr. Gordon Pipa) of the Institute of Cognitive Science invites applications for a Research Assistant. https://www.uni-osnabrueck.de/en/university/working-at-osnabrueck-universit… The Neuroinformatics group research topics are cantered on how cognitive functions are implemented in the brain. This includes the use of models or simulations of complex or neuro-inspired artificial systems, the development of machine learning approaches and analysis of complex (neuronal) dynamical systems. The core goal is to unravel the information processing principles of neuro-inspired information processing. Experience or a strong interest is highly encouraged in the following areas: * Computational neuroscience and machine learning * Complex dynamical systems and its study concepts (e.g. bifurcation and stability analysis), e.g. spiking neuronal networks Applications with the usual documentation should be submitted by e-mail in a single PDF-file to the Director of the Institute of Cognitive Science (office-ikw(a)uni-osnabrueck.de) no later than January 4, 2026. ------------------------------------------------------------------------------------------------------------ Professor and Chair of the Neuroinformatics Department Dr. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany Associated with: Fellow at Frankurt Institute of Advanced Studies, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: <mailto:gpipa@uos.de> gpipa(a)uos.de webpage: <https://www.ikw.uni-osnabrueck.de/en/research_groups/neuroinformatics/overvi> https://www.ikw.uni-osnabrueck.de/en/research_groups/neuroinformatics/overv… G.Scholar: <https://scholar.google.de/citations?user=joR6mgEAAAAJ&hl=en> https://scholar.google.de/citations?user=joR6mgEAAAAJ&hl=en linkedin: <https://de.linkedin.com/in/gordon-pipa-47771539> https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Christina Vidovic Tel. +49 (0)541 969-2390 Email: <mailto:christina.vidovic@uni-osnabrueck.de> christina.vidovic(a)uni-osnabrueck.de And Julia Reuter <mailto:julreuter@uni-osnabrueck.de> julreuter(a)uni-osnabrueck.de Tel: +49 (0) 541 969-2407

Dec. 19, 2025

Postdoc and PhD positions in Panzeri Lab - Hamburg

by Stefano Panzeri

I am seeking candidates for fully funded postdoctoral and PhD positions in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE). The successful candidates will conduct research in my computational laboratory (Institute for Neural Information Processing) at UKE: https://www.uke.de/english/departments-institutes/institutes/department-of-… We will investigate, by developing and using advanced machine learning methods and neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce behaviors. We offer a wide range of interdisciplinary expertise in computational neuroscience. We also offers a high-quality and well-funded research environment including a network of international experimental collaborators such as Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT. We seek candidates with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available starting immediately and applications will be considered as soon as they are received and until the positions are filled. Funding is available for several years (with a minimum commitment of two years expected) for postdoc candidates and for the full duration of the PhD for PhD candidates. Interested applicants are strongly encouraged to email me (s.panzeri(a)uke.de or stefano.panzeri(a)gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. I suggest interested candidates to attach a CV when inquiring by email. For recent example publications from my lab, see: Dupret D et al (2025) Neural population activity for memory: properties, computations, and codes. Neuron: in press Safaai H et al (2025) Specialized structure of neural population codes in parietal cortex outputs. Nature Neuroscience 28, 2550–2560 Lorenz GM et al (2025) MINT: a toolbox for the analysis of multivariate neural information coding and transmission. PLOS Computational Biology 21 (4), e1012934 Kuan AT et al (2024). Synaptic wiring motifs in posterior parietal cortex support decision-making. Nature 627, 367–373 Celotto M, et al (2023) An information-theoretic quantification of the content of communication between brain regions. NeurIPS Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. Nature Reviews Neuroscience 23:551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. NeurIPS Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocytes. PLoS Biology 20(3): e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. Nature Neuroscience, 24, 975–986 Stefano Panzeri

Dec. 19, 2025

PhD position on multiscale theory of spiking neural networks for modeling human language

by Tilo Schwalger

As previously announced, a PhD position on spiking neural network theory is available in the group of Prof. Tilo Schwalger at the Technical University Berlin and the Bernstein Center for Computational Neuroscience Berlin (https://page.math.tu-berlin.de/~schwalge) Germany. The position is now open for applications. The position is offered in the context of the project The Role of Long-Range Brain Connectivity in Human Language Processing (ConnLingua), a collaboration between the Technical University Berlin, the Max-Planck Institute for Human Cognitive and Brain Sciences (Leipzig), the Technical University Chemnitz, and the Czech Acedemy of Science (Prague). Within this project, we will use spiking neural network models for cortical microcircuits, models of working memory and advanced mean-field methods to develop a whole-brain model that elucidates the neural mechanisms of syntactic language operations. At the Bernstein center, we offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for collaborations. The PhD student will also benefit from intensive scientific interactions among researchers of the different labs of the project. For more details, please see https://www.jobs.tu-berlin.de/stellenausschreibungen/200012?language=en -- Prof. Dr. Tilo Schwalger Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 784, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

Dec. 18, 2025

NEST Conference 2026 – Save the date: 16-17 June 2026

by Hans Ekkehard Plesser

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2026. Save the date for the virtual conference, taking place on June 16-17, 2026! The annual NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories,swap advice, learn about current developments in and around NEST spiking network simulation and its application. Weparticularly encourage young scientists to participate in the conference! Registration and abstract submission will open soon. For more information on the event please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you in June! Hans Ekkehard Plesser - on behalf of the conference organizing committee - -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Head, Department of Data Science Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

Dec. 18, 2025

Postdoctoral Fellowship – AI/Data Science Competitions in Mental & Brain Health at KCNI, CAMH (Ontario, Canada)

by Sujeevini Sujanthan

Postdoctoral Fellowship – AI/Data Science Competitions in Mental & Brain Health Krembil Centre for Neuroinformatics (KCNI), Centre for Addiction and Mental Health (CAMH) Ontario, Canada We are recruiting a postdoctoral fellow to help design, implement and evaluate data science challenges that advance mental and brain health research. The fellow will work closely with KCNI principal investigators, clinicians, and data scientists to shape AI challenge questions, prepare multimodal datasets (clinical, sensor, imaging), develop and test models, and contribute to knowledge translation activities. Full position description and application details can be found here<https://static1.squarespace.com/static/6818e02697a72a4e24161a5f/t/689387057…>. If you are interested or have questions, please contact us at contact@bhdc-pdsc<mailto:contact@bhdc-pdsc.ca?>.ca. Applications will be reviewed on a rolling basis, early submissions are encouraged. Many thanks, Sujeevini On behalf of the BHDC Project Team CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

Dec. 17, 2025

Postdoctoral positions in systems and circuits neurophysiology - Paris Brain Institute

by Nikolas Karalis

We invite applications for postdoctoral researchers with strong expertise in *in vivo electrophysiology* and *circuit neuroscience *to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). Our project focuses on how neuromodulators (NE, DA, 5-HT, ACh) reshape large-scale circuit dynamics, inter-area communication, and state-dependent reconfiguration across hippocampal, prefrontal, and thalamic networks. Our experiments are designed to generate datasets that constrain mechanistic interpretations. The researcher will lead experimental work combining: - high-density extracellular electrophysiology (such as Neuropixels probes) - neuromodulator readouts (GRAB sensors, fiber photometry) - targeted perturbations (optogenetics, chemogenetics, *in vivo* genome editing) - behavioral paradigms (used to structure internal state transitions) *Required background and mindset* We are looking for an experimentalist with quantitative spirit, deep interest on underlying mechanisms, and hands-on, problem-solving mentality. - Extensive hands-on experience with *in vivo* electrophysiology in rodents (surgeries, recordings, manipulations) - Demonstrated ability to independently run complex experiments - Willingness to modify hardware, software, or analysis pipelines when needed - Comfortable preprocessing own data - Understanding spike sorting, quality control, cell-types, circuit motifs, extracellular signals, data organization, and reproducible pipelines - Data analysis is a core goal, not an afterthought - Interested in multi-region dynamics, state-dependent computation, and neuromodulation - Comfort connecting physiological observations to circuit architecture. - Ability to drive an ambitious experimental project and collaborate with theorists - Optional but valuable: experience with photometry, 1P/2P imaging, or slice electrophysiology We strongly encourage applications from individuals that have been traditionally underrepresented in the sciences. *Responsibilities:* - Design and perform multi-region electrophysiology chronic and acute experiments - Integrate Neuropixels data with simultaneous neuromodulator recordings - Design, implement, and interpret circuit perturbation experiments - Generate multi-modal datasets combining behavior, physiology, and neuromodulation - Collaborate and engage critically with theorists developing multi-level models *Research culture* Research in our lab is driven by the belief that understanding brain function requires *quantitative, mechanistic reasoning** grounded in high-quality physiological data*. We prioritize careful experimental design, deep engagement with raw signals, and an explicit connection between circuit structure, population dynamics, and computation. Lab members are expected to take ownership of their experiments and analyses end-to-end, to question assumptions, and to engage critically across disciplines. Intellectual rigor, technical independence, and clarity of thought are central to the lab’s culture. *Opportunities* As a postdoctoral researcher in our group: - You will be an integral part of shaping our research direction and team culture. You will engage in exciting and meaningful research and will have access to all the tools necessary to push the boundaries of scientific exploration, with our cutting-edge techniques and state-of-the-art facilities. - You will have ample opportunities to develop vital skills for your future academic career, such as mentoring, grant writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. - We encourage participation in conferences and workshops, where you can present your research findings to the wider scientific community. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. - Working in our team will provide you with invaluable experience across all stages of research, and you will have the opportunity to engage in experiment design and execution, method development, software design, and data analysis, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: apply(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

Dec. 17, 2025

Postdoctoral position at University of Pittsbrugh

by Genís Prat Ortega

Hi all, We invite applications for a postdoctoral researcher at the Rehab and Neural Engineering Labs (RNEL), University of Pittsburgh. RNEL offers a highly collaborative environment where BCI and neurostimulation groups work together with the mission to improve the quality of life of individuals with neurological impairments. The postdoctoral researcher will lead a pioneering research to test the efficacy and safety of already existing neurostimulation techniques such as *spinal cord stimulation and deep brain stimulation to improve motor and cognitive function for children with Cerebral Palsy.* This role involves: - Leading first-in-human clinical trials - Human electrophysiology experiment and computational modeling of neural networks to investigate the neurostimulation mechanisms. The ideal candidate has a background in Mathematics, Physics, Computational Neuroscience, Neuroengineering or any related field motivated to work in a multidisciplinary team together with neurosurgeons, physical therapists, neurologists and neuroengineers to bring new neurostimulation therapies to children. If any of these ideas sound interesting to you, send me an email with your CV and a short motivation at gep67(a)pitt.edu. Questions are welcome—don't hesitate to reach out. The position will remain open until it is filled and we will consider all applications that arrive before February 1st. Thanks!

Dec. 15, 2025

Postdoc position at Paris Vision Institute

by ulisse ferrari

Postdoc Position in my group at the Paris Vision Institute Location: Paris Vision Institute <https://www.institut-vision.org/en>, Ulisse Ferrari’s group Duration: 2 years (with the possibility of extension) Start date: As early as February 2027, but very flexible Application deadline: Open until the position is filled We invite applications for a postdoctoral research position in the computational neuroscience of the retina and the visual system, mixing methods from machine learning, statistical physics, and information theory. The position is part of a data-driven research program focused on understanding how neurons in the retina encode and transmit sensory information, and on developing machine-learning tools for the analysis of real biological and clinical data. The position will remain open until a suitable candidate is identified; there is no fixed hiring deadline. Candidates from all backgrounds and nationalities are encouraged to apply. Applications will be evaluated solely on scientific merit and alignment with the research themes. More information available at: https://docs.google.com/document/d/12jBOghOMx9kXhOY6PjxbdgYk2_4gseNWTO_jMyJ… Best Ulisse Ferrari

Dec. 15, 2025

Follow-Up on Neuroelectrodynamics Experiments

by Dorian Aur

Dear Colleagues, Many of you have attended previous talks or participated in discussions on the* neuroelectrodynamics experiments*. I have now consolidated the experimental interpretations and underlying theoretical principles into a unified framework. To improve accessibility, I have also recorded an audio version of this material, intended for anyone who may prefer to listen while commuting or during other activities. This gentle introduction framework and interpretations are available here: https://dorianaur.gumroad.com/l/udtedn This work complements existing computational approaches by introducing additional electrodynamic considerations, and aligns with the theoretical developments presented soon in the forthcoming book: https://www.amazon.com/dp/B0G4NVY6DN *I welcome your thoughts and discussion.* Best, Dorian Aur, PhD [image: Mailsuite] Email tracked with Mailsuite · Opt out <https://mailtrack.io/en/privacy/opt-out/unsubscribe/8e43dfd050b3194c653057e…> 12/14/25, 02:21:48 PM

Dec. 15, 2025