Past events

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.

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.

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.

In 1950, Alan Turing asked "Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child's?" Today, 75 years later, constructing a computer program that can learn like a child and that develops a human-like general intelligence and consciousness is still considered a grand, if not the ultimate, challenge for artificial intelligence (AI). An interdisciplinary community of scientists from AI, Cognitive Science, Psychology, Engineering, and Neuroscience are tackling this grand challenge. In the Developing Minds global lecture series we showcase the progress being made.

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.

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 European Workshop on Reinforcement Learning (EWRL) is the gathering hub of the Reinforcement Learning research community in Europe and one of the main world-class events in RL. We plan to make the 2025 edition an exciting event for researchers worldwide, both for the presentation of top quality papers, but also as a forum for ample discussion of open problems and future research directions.

Einblicke in eine faszinierende Welt - darum geht es einmal pro Jahr an der Ruhr-Universität Bochum, wenn die Neurowissenschaftler*innen zum BRAIN DAY ins Veranstaltungszentrum einladen. Ein Tag im Zeichen der Bochumer Neurowissenschaften mit Vorträgen, Informationen und Mitmachaktionen. Alle Besucher*innen sind eingeladen zu schauen, zu hören, zu fühlen, nachzufragen und mitzumachen.

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.

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.

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 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.

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.

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.

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.

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.

Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience. A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited. The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work. The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience.

Spiking neural networks (SNNs) compute in a fundamentally different and more biologically inspired manner than standard artificial neural networks (ANNs). They have recently gained renewed interest, mainly due to their sparse information processing, larger representation capacity, and potentially much lower computational costs. This workshop will address the related aspect of sparsity and its impact on energy-efficient (embedded edge) AI solutions. The workshop will be held as part of the AIROV Symposium. Deadline for Abstract submission is 8 May 2025.

The purpose of the OCNS is to create a scientific and educational forum for everyone to learn about, to share, to contribute to, and to advance the state of knowledge in computational neuroscience. Computational neuroscience combines mathematical analyses and computer simulations with experimental neuroscience, to develop a principled understanding of the workings of nervous systems and apply it in a wide range of technologies. The Annual CNS Meeting serves as a forum for young scientists to present their work and to interact with senior leaders in the field.

In a collaborative effort, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo and the Tianqiao & Chrissy Chen Institute (Chen Institute) are proud to present the Neuro-inspired Computation Course, a groundbreaking program designed to explore the convergence of natural and artificial intelligence. This course delves into critical topics such as intrinsic dynamics, network architectures, prediction, plasticity, criticality, multi-agent learning, and neuromodulation, highlighting the potential for interdisciplinary innovation in advancing our understanding of cognitive processes.

Consciousness remains one of the most challenging open questions in science. The 1990s and 2000s saw a surge in empirical and theoretical work, leading to the rapid development of competing Theories of Consciousness. While this period was marked by enthusiasm and innovation, recent years have brought a sense of stagnation: despite ongoing efforts, there is still no consensus regarding which theories are best supported by empirical evidence, or how to reconcile their often divergent assumptions and predictions. The Berlin Consciousness Symposium brings together leading cognitive scientists and philosophers to take stock of these developments and explore new trends that may shape the future of consciousness science.

With the aim of further strengthening the connection between neuroscience and statistical physics, this satellite workshop is intended to gather neuroscientists, physicists, and mathematicians who work on collective dynamics, cognition and behavior, and provide an interdisciplinary stage to discuss recent theoretical/computational and experimental advances on the role of neural ensembles for brain function. The workshop will be carefully planned to foster discussion and interaction between attendees, and to encourage the establishment of professional relationships. Particular emphasis will be given to participation of young PI’s and scholars and to the diversity in the pool of participants, with a good balance between physicists, mathematicians, theoretical and experimental neuroscientists. The deadline for abstract submission is May 15, 2025.

In the "Brains in Space" colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation.

Founded in 2002, the Brain Connectivity Workshop (BCW) is an annual international meeting for in-depth discussions of all aspects of brain connectivity research.

The International Conference on Mathematical Neuroscience (ICMNS) is an inter-disciplinary conference series, bringing together theoretical/computational neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. ICMNS 2025 will be the tenth annual conference.

The Georgetown-TUM Summer Schools in Neuroengineering started in 2023 with the first summer school at Georgetown, followed by the “TUM-GU Summer School in Neuroengineering” at the Technical University of Munich, Germany in 2024. This year’s edition is back at Georgetown University in Washington, DC. The theme is “Neuroengineering for Restoration to Function”, highlighting ways in which neuroengineering approaches can aid in restoring function after injury- or disease-related impairment.

The goal of neuroengineering is to apply engineering principles and techniques to understand, repair, replace, and enhance the nervous system. The interdisciplinary nature of the field requires a close collaboration between neuroscientists (spanning approaches from cellular to cognitive) and engineers (including biomedical, computer science, electrical, mechanical…), and the goal of the summer school is to bring together students (from advanced undergraduate to graduate), postdocs and faculty from all these areas.

The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the virtual NEST Conference 2025. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. We particularly encourage young scientists to participate in the conference!

The objective of this two-day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, robotics, neural and computational approaches) to decision making. The event will take place for 3 days from the 16th to 18th of June 2025 in Lyon at the Palais Hirsch Amphitheatre. Each session of the conference will be dedicated to one of the core themes, ensuring a focused exploration of topics and in-depth discussions.

This edition of the Brain Conference, organised by the Federation of European Neuroscience Societies (FENS) and the Lundbeck Foundation (awarders of The Brain Prize), takes place from 3–6 June in Rungsted Kyst, Denmark. It will focus on ‘Frontiers of Theoretical Neuroscience’, bringing together researchers to explore the impact of machine learning, AI, connectomics, and large-scale recordings on the field. Beyond the invited talks, there will be poster sessions and short talks with participant-submitted abstracts and an optional social event, offering great opportunities to share your research and connect with colleagues in a relaxed, intimate setting. There are also several stipends available to support participation in the event. The early registration deadline is 30 April 2025.

Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory.

Join the opening of The Neverending Cure by kennedy+swan on May 28, 2025, 6 PM at UNI_VERSUM, TU Berlin. As BIFOLD artists-in-residence, the duo explores how medical AI interprets hand-painted “tissue” images – raising questions about trust, errors, and data in diagnostics.

BIONNALE is the largest networking event for life sciences and healthcare industries in the German capital region.
Representatives from academia and industry attend the annual life sciences event in Berlin to identify, engage and start strategic relationships. The networking character is one strength of BIONNALE with more than 1500 attendees from over 45 countries in 2023. Be part of BIONNALE 2025 and use informative talks and new contacts for your business. We look forward to meeting you online or in Berlin!

Technologiefolgenabschätzung in Wissenschaft und Gesellschaft

Bei technischen Innovationen werden immer wieder Stimmen laut, die vor den Geistern warnen, die dadurch gerufen wurden: Atomenergie, Verbrennungstechnologie, chemische Prozesse, Künstliche Intelligenz. In der interdisziplinären Vorlesungsreihe werden die Chancen und Grenzen des technologischen Fortschritts aus unterschiedlichen Perspektiven der akademischen Fachdisziplinen beleuchtet. Die alles verbindende Frage lautet: Darf der Mensch alles, was er kann? Dabei geht es nicht nur um frappierende Entdeckungen, die zugleich erheblichen Schaden mit sich brachten, sondern auch um fortschrittliche Technik zu Hause und im Alltag. Expertinnen und Experten bringen Perspektiven ein aus Philosophie, Geschichte und Naturwissenschaft, aus technischen Disziplinen, Wirtschaft und Medizin.

The BrainNet workshop promotes a multidisciplinary approach to the study of the brain, covering a wide range of topics that elucidate its complex mechanisms and functions. The event brings together distinguished scientists from leading institutions across Europe who investigate the brain using methods from fields such as Statistics, Complex Networks, Dynamical Systems, Topology, Machine Learning, or a combination of these. By integrating diverse perspectives and cutting-edge research, the workshop aims to advance our understanding of brain function while fostering innovation and collaboration within the scientific community. Participants will have the opportunity to engage with the latest findings, discuss emerging trends, and explore the ethical and practical considerations of brain research.

For decades dynamical systems theory played a pivotal role in theoretical and computational neuroscience, as it links biophysical and biochemical processes to neural computation. In fact, dynamical systems are computationally universal. Rather than hand-crafting computational theories of neural function based on dynamical systems, recent developments in scientific machine learning (ML) and AI suggest that we may be able to infer such dynamical-computational models directly from neurophysiological and behavioral observations. This is called dynamical systems reconstruction (DSR), the learning of generative surrogate models of the underlying dynamics, including its long-term temporal and geometrical properties, from time series data. In my talk I will cover recent ML/AI architectures, training algorithms, and validation procedures for DSR. I will discuss specifically how recent AI architectures for DSR can integrate neuroscience data from multiple modalities (like multiple single-unit recordings and behavioral choices), across diverse time scales, and across many different animals and task designs, into a joint DSR model. This provides first steps toward dynamical systems based AI foundation models for neuroscience.

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.

Europas erstes Event zu Neuroadaptiver Künstlicher Intelligenz

Vom 8. bis 10. April 2025 findet im ABION Spreebogen Hotel in Berlin die NAT’25 Konferenz mit dem Thema "Towards Neuroadaptive Artificial Intelligence" statt. Dort kommt auch das brAIn network, welches dieses Thema in Deutschland und Europa voranbringen wird, zum ersten Mal zusammen. Die von der Gesellschaft für Neuroadaptive Technology e.V. organisierte Veranstaltung bringt führende Experten aus Wissenschaft, Industrie und Politik zusammen, um die Zukunft der Neuroadaptiven KI zu gestalten. Ziel ist es, einen neuen, einen europäischen Weg aufzuzeigen und zu diskutieren, über den sich europäische KI-Geschäftsmodelle in Zukunft auf dem Weltmarkt werden behaupten können.
Das brAIn network meeting bietet eine einzigartige Plattform für den Austausch innovativer Ideen und die Förderung neuer Kooperationen. Zu den Highlights der Konferenz zählen Keynotes renommierter Wissenschaftler, praxisnahe Workshops und Podiumsdiskussionen zu den neuesten Entwicklungen und Anwendungen der neuroadaptiven Künstlichen Intelligenz.

The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The Main Meeting is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The Workshops feature in-depth discussion of current topics of interest, in a small group setting.

The Göttingen Meeting 2025 continues and supports what was always the aim of the original Neurobiology Meeting over 40 years ago: to give (young) scientists the space they need to learn from the work of their colleagues from all disciplines and to grow with their own presentations in symposia and poster sessions.

Gefühle, Lachen, Gähnen, manche Bewegungen haben eine ansteckende Wirkung. In der Neurowissenschaft vermutet man, dass bestimmte Vorgänge im Gehirn spiegelnde Effekte produzieren, die ein Schlüssel zur Erklärung von Empathie und gegenseitigem Verstehen sein könnten.

»Spiegelneuronen« ist eine Einladung zu einem 'körperlichen Nachdenken' über das Verhältnis von Individuum und Gesellschaft.

Wie nehmen wir die Welt um uns herum wahr? Warum finden wir uns auch in einer fremden Stadt zurecht? Und warum können wir uns in einem sozialen Kontext, wie einem Restaurantbesuch, angemessen verhalten? Die Antworten auf diese Fragen liegen in unseren internen Weltmodellen – mentalen Repräsentationen der Realität, die auf unseren Erfahrungen, Beobachtungen und unserem Wissen basieren. Sie helfen uns, Vorhersagen zu treffen, fehlende Informationen zu ergänzen und uns zielgerichtet in der Welt zu bewegen. Doch wie genau entstehen und verändern sich diese internen Weltmodelle? Was haben sie mit psychischen Störungen wie Depression oder Psychosen zu tun? Und wie sieht künstliche Intelligenz die Welt?

Diese und weitere spannende Fragen stehen im Mittelpunkt von „BrAInWorlds: Die Welt in unserem Kopf“. Das interaktive Format lädt die Besucher*innen dazu ein, ihre eigene Wahrnehmung der Welt auf die Probe zu stellen. Durch eine Reihe von Vorträgen, Mitmach-Stationen und interaktiven Installationen können Teilnehmende hautnah erleben, wie unser Gehirn die Wirklichkeit konstruiert – und welche Herausforderungen dies für Mensch und Künstliche Intelligenz mit sich bringt.

EBRAINS is an open research infrastructure that gathers data, tools and computing facilities for brain-related research, built with interoperability at the core. The EBRAINS tutorials and users day is for two audiences: newcomers to the EBRAINS Research Infrastructure (introductions, overviews, beginner hands-on tutorials) and seasoned EBRAINS users for advanced tutorials and user discussion groups with developers.

The event offers:

- Quick demonstration of a sample set of "EBRAINS science tools in action" in the morning plenary talks (this part of the event can also be attended online free of charge)
- Followed by parallel hands-on tutorials: meeting participants can attend 3 consecutive sessions and choose for each from a set of in parallel tutorials. This part is onsite only for most tutorials.

Entladungen unserer Nervenzellen treten nicht nur signalgesteuert, sondern auch spontan auf. Hat dieses Grundrauschen eine Funktion? Eine Veranstaltung der Reihe Berlin Brains on Tour im Zeiss-Großplanetarium, Prenzlauer Allee 80, 10405 Berlin

The 14th Winter School "Ethics of Neuroscience and AI" is taking place on Feb 24 - Feb 28, 2025. It is organized by the BCCN Berlin/ICCN, the Berlin School of Mind and Brain, and the Excellence Cluster "Science of Intelligence". The event is tailored for MSc and PhD students, but covers a range of topics of potential interest to other researchers, reflecting on the ethical and societal consequences of modern neuroscience.

Das Bernstein Center Freiburg und die Fakultät für Biologie laden erneut zu spannenden Fragen, kreativen Ansätzen und praxisbezogenen Methoden rund um das Thema Neurowissenschaften ein. Herausragende Neurowissenschaftlerinnen und -wissenschaftler aus ganz Deutschland werden aus Sicht ihrer Disziplin anschaulich und verständlich über ihre Forschung berichten.
Angesprochen wird ein Publikum mit Interesse an den aktuellen Themen der Hirnforschung. Nach einem etwa 40-minütigen Vortrag gibt es Gelegenheit zur Diskussion. Der Eintritt ist frei.

The BCCN Berlin will hold an information day regarding the Master- and PhD-Programs in Computational Neuroscience offered by the center.

In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation.

The NeurReps Workshop brings together researchers from applied mathematics and deep learning with neuroscientists whose work reveals the elegant implementation of mathematical structure in biological neural circuitry. The first and second editions of NeurReps were held at NeurIPS 2022 and at NeurIPS 2023. The invited and contributed talks drew exciting connections between trends in geometric deep learning and neuroscience, emphasizing parallels between equivariant structures in brains and machines. This year's workshop will feature five invited talks covering emerging topics in geometric deep learning, mechanistic interpretability, geometric structure in the brain, world models and the role of dynamics in shaping neural representations.

Viele Nervenzellen sowie auch Zellen im Herzen zeigen intrinsisch oszillatorisches Verhalten auf einer Zeitskala von Millisekunden bis zu wenigen Sekunden. Damit diese Zellen aber im kollektiven Zusammenspiel physiologisch funktionale makroskopische Oszillationen erzeugen können, müssen sie aufeinander »hören« können und ihre Oszillationsperioden aneinander anpassen. Der Vortrag verfolgt zum einen das Ziel, eine Vielzahl bekannter, aber auch einige weniger offensichtliche Oszillationen vorzustellen, die Tieren (und uns Menschen) eine subjektive Zeitwahrnehmung vermitteln könnten. Zum anderen soll ein grundlegendes mathematisches Prinzip der Synchronisation erklärt werden, das erklärt, was »aufeinander zu hören« bedeutet und auch wie dieses Prinzip mechanistisch in Zellverbänden, Organen und sozialen Interaktionen implementiert wird.

Der Vortrag ist Teil der Reihe "Samstags-Uni: Dimension ,Zeit': Temporalität in Wissenschaft, Kunst, Kultur und Gesellschaft" des Studium generale der Universität Freiburg und der Volkshochschule Freiburg in Verbindung mit der Katholischen Akademie der Erzdiözese Freiburg statt.

In diesem Dezember erhalten John J. Hopfield und Geoffrey Hinton den Physik-Nobelpreis 2024 für bahnbrechende Entdeckungen und Erfindungen, die maschinelles Lernen mit künstlichen neuronalen Netzen ermöglichen. Aus diesem Anlass lädt die Physikwerkstatt Rheinland für Mittwoch, 27. November, 18:00 Uhr zu einem allgemeinverständlichen Vortrag in den Wolfgang-Paul-Hörsaal, Kreuzbergweg 28 in Bonn, ein. Es spricht Prof. Dr. Raoul-Martin Memmesheimer vom Institut für Genetik der Universität Bonn. Der Eintritt ist frei. Eine Anmeldung ist nicht erforderlich.

The “Statistical Physics of Cognition” workshop aims to bring together a diverse group of experts, including theoreticians, experimentalists, mathematical modellers, and data analysts, to explore statistical physics-based approaches to understanding the brain.

Since its inception in 2007, the BrainModes conference series has been a beacon for the neuroscience community, drawing attention to the intricate dynamics of brain functionality. These topics are at the forefront of hashtag#neuroscience research, offering novel insights into how the brain operates as a complex system. By focusing on these areas BrainModesBilbao2024 will serve as a vibrant platform for both emerging and established researchers, clinicians, and scholars to exchange ideas, consolidate collaborations, and discuss the latest advancements in the field.

Techniques to record neuronal data from populations of neurons are rapidly improving, allowing for simultaneous recordings from hundreds of channels while animals perform complex behavioral tasks. The analysis of such massive and intricate data sets poses significant challenges. ANDA-NI aims to equip participants with theoretical and practical training in state-of-the-art analysis approaches for neurophysiological data.

Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems).

We invite you to participate in the “Spontaneous Activity in Brain Development” meeting, a dynamic forum for neuroscientists exploring brain activity during development. The third SPONT meeting, SPONT2024, is scheduled from 4-6 November 2024 in Altea, a picturesque seaside town near Alicante in Spain.

This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions.

Jedes Jahr im Herbst finden die Science Days statt – Deutschlands größtes Wissenschafts- und MINT-Festival. Gemeinsam mit Institutionen aus Wissenschaft, Bildung, und Wirtschaft wird ein faszinierendes und sehr vielfältiges Angebot zusammengestellt. MINT-Themen werden aus unterschiedlichen Richtungen und Blickwinkeln präsentiert und die Besuchenden bekommen Einblicke in hochaktuelle Themen und deren Erforschung.

Das Bernstein Netzwerk wird bei dieser Veranstaltung einen Informationsstand haben.

The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work.

The course is typically aimed for PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.

The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics.

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!

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 renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.

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