Vergangene Veranstaltungen

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!

The 2024 Tübingen Systems Neuroscience Symposium (SNS 2024) brings together leading international researchers in systems neuroscience. The symposium features plenary talks, poster sessions, lab visit and a conference dinner. Join us in Tübingen to learn about the latest advances.

The ACAIN 2024 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 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion five-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.

The goal of this school is to provide introductory lectures to international young investigators (mainly graduate students and post-doctoral fellows) on recent advances in the science and technology related to non-human primate research, with relevance to the understanding of human brain functions and disorders.

The European Summer School exposes young vision researchers—at the late pre-doctoral or early post-doctoral level—to the principal methods and seminal issues of contemporary visual neuroscience. In addition, it seeks to build a basic fluency in the emerging lingua franca of computational neuroscience. The range of topics is broad, literally from spikes to awareness, and the pace correspondingly brisk. This intensive experience should allow participants take a broader view of, and make more informed decisions about, their future research direction.

We bring together leading experts on creativity from different scientific disciplines to discuss unifying approaches to operationalize creativity, investigate its neural mechanisms and develop theoretical and experimental concepts to probe and corroborate such mechanisms, especially on the level of neuronal networks. For this reason, we provide an interdisciplinary framework for the conference and bring experts from cognitive science together with systems neuroscientists as well as experts from computer science.

Are you ready for an expedition into the multifarious world of animal behavior, where the lab meets the wild? Join us for RELab, a unique experimental workshop in the scenic location of Lake Constance, Germany.

BonnBrain³ stands at the forefront of cutting-edge scientific inquiry, uniting experts from diverse fields in a premier international conference focused on unraveling the complexities of states, behavior, neural circuits, and codes. This interdisciplinary scientific gathering prioritizes the presentation of groundbreaking and unpublished research, fostering insightful discussions after each talk and nurturing informal interactions among scientists at all career stages.

CCN is an annual forum for discussion among researchers in cognitive science, neuroscience, and artificial intelligence, dedicated to understanding the computations that underlie complex behavior. The conference began in 2017, with a goal to deepen interactions between these disciplines and to discover ways that the communities can benefit one another and leverage each other’s successes.

The third instantiation of this European Summer School will bring together PhD students, early postdocs, and an international list of faculty for an intense training programme in primate cognitive and systems neuroscience. It will provide an outstanding training opportunity for young scientists working with non-human primates.
Teaching will focus on cognitive processes in primate sensory and motor systems as well as in social settings and decision making, and will include important and novel results and methodologies. Topics of animal welfare, ethics, and media outreach will also be covered. Each faculty member will teach for about one half-day and furthermore will be available for individual scientific discussions, career planning advice, and scientific networking. Participants are expected to present their ongoing work in a poster presentation.

The curriculum integrates cutting-edge advances in machine learning and causality research with state-of-the-art modeling approaches in neuroscience.

What are common principles of natural and artificial intelligence?
The core challenge of intelligence is generalization. Neuroscience, cognitive science, and AI are all questing for principles that help generalization.

Computational Neuroscience and Inference from data are disciplines that extensively use tools from Mathematics and Physics to understand the behavior of model neuronal networks and analyze data from real experiments. Due to its interdisciplinary nature and the complexity of the neuronal networks, the list of techniques that are borrowed from Physics and Mathematics is an extensive one. Although using tools from standard curriculum of Physics, Mathematics and Engineering is common, more advanced research requires methods and techniques that are not usually covered in any single discipline.

To fill in this gap, this summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars (5-6 main lectures per topic and 1-2 seminars by each invited seminar speaker).

Our goal is​ to teach advanced techniques in model-based analysis of behavior (humans and other animals) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures and talks, together with a strong focus on hands-on tutorials and group projects aimed at making the obtained knowledge directly applicable to the participants' own research. Our goal is that the trainees acquire both the conceptual basis and the technical skills that will enable them to pursue a full modeling approach on their own when they come back to their lab.

The Organization for Computational Neurosciences promotes meetings and courses in computational neuroscience and organizes the Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field.

Computational approaches to neuroscience will produce important advances in our understanding of neural processing. Prominent success will come in areas where strong inputs from neurobiological, behavioral and computational investigation can interact. The theme of the course is that an understanding of the computational problems, the constraints on solutions to these problems, and the range of possible solutions can help guide research in neuroscience. Through a combination of lectures and hands-on experience with MATLAB- and Python-based computer tutorials and projects, this intensive course will examine visual information processing from the retina to higher cortical areas, spatial pattern analysis, motion analysis, neuronal coding and decoding, attention, and decision-making.

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.

The FENS Forum of neuroscience is the largest international neuroscience meeting in Europe. Taking place in even years, the FENS Forum rotates between different European countries and attracts more than 7,000 international delegates.

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

The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal and beautiful setting on Milos. The conference series emphasizes interaction with a size and pace that encourages in-depth discussion. Interested researchers are strongly encouraged to submit an abstract for poster presentation as attendance is strictly limited, and the conference typically sells out. Abstract submission deadline is 26 January 2024. Send us your best work!

The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the virtual NEST Conference 2024. 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 particularly encourage young scientists to participate in the conference!

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.

With this symposium, the BCCN Berlin will celebrate the 20. anniversary of the Center and its achievements.

The program is structured around a series of in-depth morning presentations delivered by invited speakers. These talks will feature recent advances in the field of dynamics, plasticity, and computation in neuronal circuits, with an emphasis on both mathematical tools and biological implications. In the afternoons, participants will share their own research through contributed talks and poster presentations. The primary objective of this program is to foster a collaborative and prolific exchange of ideas among emerging scientists in the field of Theoretical Neuroscience.

This conference is planned as a truly interdisciplinary event. We intend to bring many communities together that are working to expand our understanding of the human brain, and to engineer brain-inspired technologies of low power and increased computational abilities as well as their application in present and future AI systems. The location is the Eurogress, in the heart of the historic city of Aachen, with close connections to RWTH University and nearby Forschungszentrum Jülich.

Two decades into the 21st century, how close are we to building an artificial intelligence inspired by models of the brain? In this exploratory symposium, we invite submissions presenting mathematical models of brain function or computational ideas about intelligence. We give priority to those models that can account for brain or behavioural data, or provide simulations to that effect.

The 10th EBRAINS Baltic-Nordic Summer School on Neuroscience “From Neurons to The Virtual Brain, Consciousness and Artificial Intelligence” will provide you with the latest achievements in the brain research, implications to AI methods and applications in clinical practice.

Principles of dendritic function and computation:
Understanding how brains generate perception and drive behaviour while being energetically efficient is still one of the biggest challenges of our century. Neurons communicate via synaptic inputs which are located on thin branches known as dendrites which shape how we respond to the external world, encode memories, and generate behaviour. Recent technical developments have enabled the study of dendrites at multiple levels, from the organization and plasticity of single synaptic inputs to dendritic computations in behaviour. The goal of this workshop is to bring together international scientific leaders who work on molecular, biophysical, anatomical, computational and/or functional aspects of dendrites to further our understanding of how these beautiful structures contribute to different brain functions and their abnormalities.

The IEEE International Conference on Development and Learning (ICDL) conference is a unique meeting gathering researchers from computer science, robotics, psychology, neuroscience, and other disciplines to share and discuss research on how humans and other animals learn and develop and how this can inform and be informed by robotics and machine learning systems.

Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions.

Der Physiker Theo Geisel aus Göttingen trifft auf den Perkussionisten Murat Coşkun aus Freiburg. Ihr Zugang zum Rhythmus in der Musik könnte unterschiedlicher nicht sein…

Das Symposium wird anlässlich des hundertsten Geburtstags von Werner Reichardt gehalten, Gründungsdirektor des Max-Planck-Instituts für biologische Kybernetik und ein Pionier in Vision Science und dem Forschungsgebiet, das heute unter dem Namen Computational Neuroscience bekannt ist.

This workshop will include advanced research talks (and introductory lectures) on a range of topics related to the neural processes of auditory, visual and cross-modal perception.
The main focus of this year’s workshop will be on spatial audio virtualization and gamification for hearing assessment and enhancement.
The talks will illustrate the multidisciplinary character of cognitive neuroscience research, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices.
The workshop is aimed at early-stage and advanced students and young researchers, and it will provide ample opportunities for direct interactions between the lecturers and the attendees.

The Summit will aim to explore the intersection of neuroscience and Artificial Intelligence (AI), with a particular focus on mechanisms of learning. This event will provide a platform for AI and experimental neuroscience researchers to delve into the mechanisms of learning at the cellular, systems, and behavioral levels.

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 Bernstein Network will have an information booth at this event!

Theoretical foundations, as well as practical and ethical aspects are addressed. Participants will benefit from a combination of lectures with group work and discussions, where they will put the learned content into practice.

Herz und Hirn gemeinsam im Fokus

Erkrankungen des Herzens und des Gehirns gehören zu den häufigsten Todesursachen weltweit. Manche Erkrankungen betreffen sogar beide Organe. Obgleich Herz und Gehirn auf den ersten Blick sehr unterschiedlich erscheinen, weisen ihre elektrisch erregbaren Hauptzellen viele Gemeinsamkeiten auf. Beide verwenden ähnliche Funktionseinheiten, die der Erregbarkeit der Zellen dienen und über die sie physiologische Leistungen als Teil aktiver Netzwerke erbringen. Fehlfunktionen dieser Nanometer-kleinen Einheiten führen oft zu Erkrankungen.

Ziel des Göttinger Exzellenzclusters „Multiscale Bioimaging: von molekularen Maschinen zu Netzwerken erregbarer Zellen“ (MBExC) ist, diese Funktionseinheiten von Herz- und Nervenzellen zu verstehen, um daraus neue Diagnostik- und Therapieansätze entwickeln und gesellschaftlich relevante Fragen in der Herz- und Hirnforschung beantworten zu können.

Im Rahmen der Ringvorlesung gewähren MBExC-Wissenschaftler*innen am Beispiel spannender Forschungsergebnisse umfassende Einblicke in den einzigartigen Forschungsansatz des Clusters. Sie stellen innovative Technologien vor, die ihren Ursprung oft in Göttinger Pionierarbeiten haben und am MBExC weiterentwickelt werden, und zeigen auf, wie genau man heutzutage in das Gewebe und die Zelle „hineinschauen“ kann. All diese Technologien liefern uns einzigartige Einblicke in unser Herz und unser Gehirn.

The ninth edition of the Latin American School on Computational Neuroscience – LASCON IX will be held at the NeuroMat Center in the main campus of the University of São Paulo in the city of São Paulo, Brazil. The school will last for four weeks and will cover the following topics: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These models will be illustrated with the use of the programs NEURON, NetPyNE, NEST, XPP-AUTO, Brian and The Virtual Brain. The faculty is composed of an international team of world-renowned researchers in the field of computational neuroscience.

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