In recent years, the study of neural population dynamics has gained progressive traction in systems and computational neuroscience, providing a principled framework to link single-neuron activity with behaviorally relevant computation. This symposium will discuss recent methodological advances for analyzing population-level activity and will explore how emergent network properties can reveal mechanistic principles of cognition and behavior, with translational implications for clinical neuroscience.

The GRC will explore inhibition's role in neural circuits related to behavior, focusing on interneuron subtypes, inhibitory synapse organization, sensory processing, memory, and computational approaches. It will also cover inhibition in the adult neurogenic niche, model organisms like mice and primates, and its role in neuropsychiatric disorders.

After two successful editions in 2023 (Dublin, Ireland) and 2024 (Minneapolis, USA) the Computational Psychiatry Conference has established itself as the largest conference worldwide in this emerging field, annually attracting over 240 students, postdocs, and faculty from around the world to meet and discuss new scientific discoveries.

We invite PhD students, master’s students, final-year undergraduates, and postdocs worldwide from all backgrounds to CAMP@Pune. At this intensive 14-day course, students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time, and complexity. This year’s flavor of CAMP will be Networks Across Scales. The course will have lectures, hands-on tutorials, and projects to launch students into the exciting field of computational neuroscience.

The Barcelona summer school for Advanced Modelling of Behavior (BAMB!) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.

Modern deep learning methods provide some of the best tools to model behavior and brain function today. Excitingly, AI systems have become the first artificial models capable of matching human performance in sophisticated cognitive tasks, such as visual recognition, language processing, and strategic planning. This unique capability makes them a key test bed for neuroscience research: by studying how these AI systems solve complex problems, we can generate and test hypotheses about the computational principles that biological brains might use. Moreover, thanks to amazing progress in neuroscientific experimental recording techniques over the last decade, we now have access to vast amounts of complex data, which can be used in computational modeling, across multiple modalities – from neural activity of thousands of neurons, to anatomical details of neuronal circuits, to whole brain neural recordings during complex behavior of humans and animals. These exciting developments—in both AI methodology and neuroscientific recordings—have inspired an emerging area of research at the intersection of neuroscience and AI.

The Konstanz School of Collective Behaviour (KSCB) will take place between 21st July 2025 – 8th August 2025 at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz. Uni Konstanz is a University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" as one of five research foci. Konstanz is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three 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.

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 should be helpful to experimental vision researchers for learning computational methods, vision theorists and modellers for closer links with experimental data, physicists, engineers, and computer vision researchers for learning about biological vision, and, more generally, vision scientists interested in topics and approaches in systems vision science.

ICDL is a unique conference gathering researchers from both computational science (including robotics, AI, cognitive architecture) and developmental studies (psychology, linguistics, anthropology, education, philosophy) for a fertile exchange sharing ideas, perspectives, knowledge, research findings on how humans and animals develop sensing, reasoning and actions, including interactive ecologies and how these capabilities can be implemented in computing (embodied) systems. This approach goes hand in hand with the goal of both understanding human and animal development and how this can be applied to improve future intelligent technology including all kinds of artificial systems that will be in close interaction with humans.

Organized in the framework of EBRAINS-Italy training initiatives, ANEIS 2025 offers up to 40 students an immersive experience at the forefront of Neuroscience research and its applications, covering a broad range of themes, including theoretical, computational, and systems neuroscience, data analysis, neuroinformatics, and clinical applications. Applications are invited from junior scientists (PhD students and Post-Doc fellows or residency students) beginning their careers in the broad field of Neuroscience, and limited to 40 participants. Admission to ANEIS 2025 will be on a competitive selection basis, from applicants' CV, Motivation letter, and the recommendation letter by a senior researcher. The deadline for application is June 15, 2025.

The ACAIN 2025 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 5th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium at the Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.

Artificial Intelligence (AI) is one of the most profound technological developments of our time. Its influence extends far beyond technical innovations – it is transforming how we conduct research, cure, communicate, learn, and engage in political processes. In response to these significant technological shifts, the Annual Assembly 2025 of the German National Academy of Sciences Leopoldina will be dedicated to the topic of AI in all its facets.

The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work.

Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are interactive and allow students to acquire direct hands-on experience with the topics. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. Python is the standard tool for the programming scientist due to clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization.

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.

The QStr (Qualia Structure) - IIT (Integrated Information Theory) Summer School offers an exciting opportunity for students, post-doctoral fellows and junior faculty scholars from around the world to explore the intersection of qualitative aspects of consciousness (or qualia) and scientific objectivity. This event is scheduled to take place in Venice and Bertinoro, Italy from October 5 to 17, 2025.

This workshop focuses on real-world applications and demonstrations of event-based cameras and neuromorphic sensors, including perception pipelines and data processing, that go beyond those solely tested in simulated environments. The potential of neuromorphic sensors in robotics has motivated a growing body of literature for solutions to robotic problems, but the amount of work that actually demonstrates the advantages of neuromorphic perception over traditional perception in real-world scenarios still needs to be shown. We encourage the participation and discussion of real-world robotic implementations, task-dependent applications, hybrid (neuromorphic and traditional sensors as well as comparisons between such sensors) systems, and online and real-time algorithms shown in real-world conditions. During the workshop we will discuss the current experimental trends, difficulties, and general solutions for achieving real-world neuromorphic perception for robots.

You are cordially invited to attend the 9th BigBrain Workshop, taking place in Berlin, Germany, on October 28 and 29, 2025. This workshop has established itself as the annual meeting place for the BigBrain community to come together and present their latest research, discuss prospects of the BigBrain associated data and tools, and brainstorm on how to leverage high-performance computing and artificial intelligence better to create multimodal, multiresolution tools for the high-resolution BigBrain and related datasets. This year’s workshop also serves as the Closing Symposium of the Helmholtz International BigBrain Analytics and Learning Lab (HIBALL), highlighting the remarkable achievements of this transatlantic collaboration. To mark this special occasion, we will feature an exceptional lineup of distinguished speakers, not only to celebrate HIBALL’s success but also to explore the future of brain science, fostering discussions on innovative methods and applications in the field. Speakers include: Helen Zhou, Alexandra Young, Andreas Horn, Petra Ritter, and Dagmar Kainmüller. The BigBrain Workshop will again be held in conjunction with a Training Day, taking place as a full-day event on October 27, on-site at the conference venue.

Each year, scientists from around the world congregate to discover new ideas, share their research, and experience the best the field has to offer. Attend so you can: present research, network with scientists, attend session and events, and browse the exhibit hall. Join the nearly half a million neuroscientists from around the world who have propelled their careers by presenting an abstract at an SfN annual meeting — the premier global neuroscience event.

The Bernstein Network will have an information booth at this event!

The EBRAINS Summit brings together leaders in neuroscience, digital innovation, and policy to shape the future of brain research in Europe. Through in-depth talks, hands-on demonstrations, and interactive poster sessions, the event serves as a key meeting point for driving progress in neuroscience – and for discovering how the EBRAINS infrastructure can support your research.

The CIFAR Neuroscience of Consciousness Winter School is a unique, three-day event where tomorrow’s neuroscience leaders work closely with world-class researchers studying the neuroscience of consciousness. Hosted by members of CIFAR’s Brain, Mind & Consciousness program, this year’s event is held from December 10-12, 2025 in Montebello, Canada.

Imbizo is a Xhosa word meaning “a gathering to share knowledge”. The Simons Computational Neuroscience Imbizo is exactly that: an opportunity for African and international students to learn about cutting-edge research techniques in computational neuroscience. Applications until July 1, 2025.