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Join COMPLEX NETWORKS 2025 – Explore the Full Program & Register Now
by Hocine Cherifi Oct. 30, 2025

Oct. 30, 2025

Dear Colleagues, We are pleased to invite you to participate to *COMPLEX NETWORKS 2025* in *Binghamton, New York, USA*, from *December 9 to 11, 2025*. The *final program* is now available: 📄 *Program Download:* [ https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=… ] <https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=…> 🌐 Also accessible soon on https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> This year’s conference will feature: 🎓 *Tutorials (December 8):* · *Yian Yin* (Cornell University): *Toward a Quantitative Understanding of Failure* · *Brennan Klein* (Northeastern University): *Networks, Shapes, Maps, and More* 🎤 *Keynote Speakers (December 9–11):* · *Kimberley Glass* (Harvard Medical School): *Network Modeling for Precision Medicine* · *Mark Newman* (University of Michigan): *Networks and Ranking in Sports, Markets, and Society* · *Michelle Girvan* (University of Maryland): *Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data* · *Luis Bettencourt* (University of Chicago): *The Networks of Cities: From Complex Infrastructure to Human Development* · *David Stark* (Columbia University): *“This is not a Test!”: Testing After Preparedness* In addition to these highlights, the program includes *three full days of oral, lightning, and poster sessions* covering all aspects of *network science, computational social science, and machine learning on graphs*, along with *networking events* such as the Welcome Reception and Gala Dinner. 👉 *Register now:* [https://complexnetworks.org/registration/] <https://complexnetworks.org/registration/> We look forward to welcoming you in *Binghamton* this December for an inspiring and collaborative edition of COMPLEX NETWORKS. Best regards, *Hocine Cherifi* General Co-Chair – Complex Networks 2025 📍 https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> Join us at COMPLEX NETWORKS 2025 <https://complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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CRCNS 2025: Registration closes tomorrow at midnight!
by Garrison Cottrell Oct. 29, 2025

Oct. 29, 2025

Hi folks - Sorry for the late notice, as registration is going to close tomorrow, but even if you are not funded by the *NSF Collaborative Research in Computational Neuroscience program,* you are welcome to attend our PI's meeting, just prior to the SfN meeting, November 13th and 14th on the UCSD campus. The tentative meeting schedule is here <https://inc.ucsd.edu/events/crcns/2025/program.php>, and registration is here <https://urldefense.com/v3/__https://na.eventscloud.com/ereg/index.php?event…>. Keynote speakers are Terry Sejnowski and Bruno Olshausen. cheers, Gary Cottrell

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Postdoctoral Fellowships at Yale's Wu Tsai Institute (Deadline Nov 10)
by Dan Levenstein Oct. 28, 2025

Oct. 28, 2025

The Wu Tsai Postdoctoral Fellowships <https://wti.yale.edu/initiatives/postdoctoral> are now open to applications. Please share this email with early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous stipend for up to 3 years, discretionary funds and additional funding opportunities, access to cutting-edge facilities, protected time and programmatic opportunities for professional development, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with single mentors while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. Candidates are encouraged to reach out to any of the over 180 Wu Tsai Faculty Members <https://wti.yale.edu/humans/faculty>. The deadline for applications is November 10. Candidates can find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Feel free to forward this email and encourage scientists who might be interested to apply. For questions, please contact wti(a)yale.edu <mailto:wti@yale.edu>.

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[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student EXPO & Competition @ Neuroscience 2025
by NeuroDesign in HRI Oct. 28, 2025

Oct. 28, 2025

Dear Colleagues, We hope this information finds you well and aligns with your interests. Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the NeuroDesign in Human-Robot Interaction (HRI) Student Competition (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! 🌟 We're thrilled to announce an exciting new update! The NeuroDesign in HRI Student EXPO & Competition has been scheduled again as a “Hybrid” event (online + onsite), co-located with Neuroscience 2025 ( https://www.sfn.org/meetings/neuroscience-2025) in San Diego on November 19, 2025. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 Final Submission Deadline: Monday, November 10, 2025 If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your 5-minute pitch spot: (1) Project Title (necessary) (2) Abstract (~100 words) (necessary) (3) Choose One of the following (choose one) (necessary): 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred) You can submit your materials directly through our Google Form: 👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —or simply reply to the email (✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). 🏆 Awards & Recognition For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines Highlights include: 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! 📅 Key Dates 🔺 Final Submission Deadline: November 10, 2025 🔺 Event Date: November 19, 2025 (San Diego & Online) Join us in shaping the future of human-machine synergy—where your creativity fuels the innovation of tomorrow. We look forward to celebrating your ideas and visionary work! With warm regards, The NeuroDesign in Human-Robot Interaction Team NeuroDesign in HRI Student EXPO & Competition Co-located with Neuroscience 2025

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PhD student positions in computational neuroscience / machine learning / bioinformatics
by Philipp Berens Oct. 27, 2025

Oct. 27, 2025

We are hiring two PhD student for machine learning projects about (1) spatial transcriptomics in the retina and (2) using biophysical modeling to understand energy consumption in the retina! In project (1), we want to better understand how neurons in the retina change their function and genetics over time. During your PhD, you will develop novel probabilistic models for cutting-edge data acquired in collaboration with Thomas Euler and Shahar Alon. As an ideal candidate, you are curious about open questions in neuroscience, and passionate about using your datascience skills to merge these data with previous datasets across modalities (Calcium imaging, spatial transcriptomics, single-cell transcriptomics) to get to novel insights about the retina and the visual system. https://jobs.medizin.uni-tuebingen.de/Job/6816/PhD-student-in-bioinformatic… In project (2), we want to use biophysical modeling to understand energy consumption in the retinaand integrate the resulting models with a deep reinforcement learning framework! The project will allow you to work with cutting-edge differentiable simulator for understanding principles of neural coding. This PhD is part of aDeutsche Forschungsgemeinschaft (DFG) - German Research Foundation <https://www.linkedin.com/company/deutsche-forschungsgemeinschaft/>-funded iRTG "limits2vision" (https://limits2vision.net/ <https://limits2vision.net/>) betweenUniversity of Tübingen <https://www.linkedin.com/company/eberhard-karls-universit-t-t-bingen/>andUniversité Paris-Sorbonne <https://www.linkedin.com/company/lettres-sorbonne-universite/>. https://jobs.medizin.uni-tuebingen.de/Job/6831/PhD-student-computational-ne… Both post will be filled as soon as possible. -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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Meetings - 2026 Nengo Summer School Call For Applications
by Madeleine Bartlett Oct. 27, 2025

Oct. 27, 2025

Dear colleagues, All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

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Ph.D. position in event-based computing / spiking networks at Champalimaud, Lisbon
by Christian Machens Oct. 27, 2025

Oct. 27, 2025

PhD position in computational neuroscience (event-based computing / spiking networks) As part of a Marie-Curie Doctoral Network (ELEVATE <https://www.elevate-dn.eu/index.php/about/>), we are offering a PhD student position. The proposed project sits a the interface of computational neuroscience and neuromorphic computing, and is embedded within a strong network of European academic and industrial partners. ENVIRONMENT: The student will be part of the Theoretical Neuroscience lab <https://www.machenslab.org/>, led by Christian Machens, which is hosted at the Champalimaud Centre for the Unknown in Lisbon, Portugal. The Champalimaud Foundation <https://www.fchampalimaud.org/> is a private, non-profit institute with a vibrant and highly international academic community. Many groups work in the field of systems and computational neuroscience, <https://www.fchampalimaud.org/champalimaud-research> providing a stimulating and exciting work environment. The student will also interact with the training network ELEVATE <https://www.elevate-dn.eu/index.php/about/> and spend several months at Rodolphe Sepulchre <https://sites.google.com/site/rsepulchre/>‘s lab at KU Leuven, Belgium. PROJECT: Across the animal world, biological networks are made up of different types of neurons. The most prominent division is that between excitatory (E) and inhibitory (I) neurons. However, modern AI system as well as most neuromorphic systems ignore this division and assume only one type of neuron. In this project, we will study the specific functional or structural qualities arising from a division into E and I neurons, and work out any potential benefits. One key design feature of networks with E and I neurons is that they are composed of intrinsically unstable subsystems, namely recurrently connected E neurons, that are controlled and stabilized by other subsystems, namely I neurons. The benefits of designing and controlling intrinsically unstable systems have long been known to engineers in other context, e.g., the desing of modern fighter aircraft. The goal of this project is to use some of these engineering insights in order to investigate how the interplay of excitation and inhibition can be utilized to perform specific computations. Since real neurons communicate with discrete events (spikes), a key aim is to work out the distinct computational roles of inhibitory and excitatory spikes, and apply the concepts to a few example systems. TASKS: * Study the relevant background literature from both engineering and neuroscience fields. Based on geometric and analytical insights from the framework of ‘spike coding networks’, develop analytical or geometric methods to study the roles of excitatory and inhibitory spikes. Develop a few canonical systems and use numerical simulations to demonstrate the role of excitatory and inhibitory populations in computational tasks. * Publish research articles, regular participation in top international conferences to present your work. * Complete an internship at KU Leuven with Prof. Rodolphe Sepulchre * Participate in yearly retreats organized by the doctoral network participants * Support the dissemination of software tools and concepts. SALARY AND CONDITIONS: The salary and benefits will follow standard EU rules. PhD students will receive their degree from the NOVA University of Lisbon. APPLICATION: We are looking for a candidate with strong quantitative skills (e.g., degree in physics, computer science, engineering, etc.) and curiosity about how the brain works. Interested candidates should submit a detailed CV, a cover letter explaining their interest in the position (1 page), a transcript for their BSc and Msc, and the contact information of 2 references to christian.machens(a)neuro.fchampalimaud.org. The application process will remain open until the position is filled. We strive to build a diverse work environment and encourage applications from all qualified individuals irrespective of their gender, age, cultural background, and disability status. Only candidates shortlisted for this position will be contacted for an interview. STARTING DATE: We anticipate a start in the year 2026. The earliest starting date is January 1st, 2026.

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World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto
by David Hansel Oct. 26, 2025

Oct. 26, 2025

*Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Open PhD and Postdoc position at El-Boustani Lab (University of Geneva, Switzerland)
by sami_elboustani＠msn.com Oct. 21, 2025

Oct. 21, 2025

The El-Boustani Lab at the University of Geneva (Switzerland) is looking for a highly motivated PhD student and Postdoctoral fellow to research the plasticity mechanisms underlying the learning of goal-directed sensorimotor associations in mice. This project involves whole-brain mappings, two-photon calcium imaging of neuronal populations, as well as dendritic spine imaging in mice during the acquisition of perceptual decision-making tasks. Genetically encoded tools will be used to dissect the circuits that contribute to the learning of these tasks, and state-of-the-art behavioral modeling will help infer the timescale and nature of synaptic plasticity. Successful applicant will contribute to a research program focused on understanding how changes in specific sensorimotor synapses underpin the acquisition of new associations. We welcome applicants with diverse quantitative backgrounds, including but not limited to neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with excellent programming skills (e.g., MATLAB, Python), experience with mouse behavior and imaging techniques in vivo. Switzerland offers a vibrant neuroscience community with outstanding research conditions and attractive salaries. Candidates should send their CV, at least two references and a brief cover letter describing their previous work and future goals to Sami El-Boustani: sami.el-boustani(a)unige.ch. Please visit http://elboustani-lab.org/ for more details.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 20, 2025

Oct. 20, 2025

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://as.nyu.edu/cns/DoctoralProgram.html https://neuroscience.nyu.edu/program.html] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://med.nyu.edu/departments-institutes/neuroscience/ https://neuroscience.nyu.edu/program.html] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dima Rinberg - Olfaction, sensory information processing, perception. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 4 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. * Stefano Martiniani - Fundamental principles governing neural systems. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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