Information decomposition seeks to partition the total information provided by a set of sources into its unique, redundant and synergistic components, a task that is not addressed by Shannon’s information theory. This workshop aims to bring together the entire community of researchers working on this problem into a single venue for the first time.

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.

Early research excellence must exist within the context of inclusivity. Although comprising only a small percentage (21%-29% in Germany), women contribute greatly to ongoing efforts in memory research. This event hopes to help you enhance both personal and professional development and learn additional skills. It aims to entice you to stay your path and enjoy the benfits of an academic career.

Come and learn what an academic career looks like and discover its advantages. During your week at the Ruhr University Bochum (RUB) you will participate in GEM 2023 where you will hear about the latest research in generative episodic memory, be given the opportunity to present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to Bochum, the RUB and the FOR 2812 labs.

The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the virtual NEST Conference 2023. 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!

This class will focus on large-scale neural data analysis and dynamics of large networks, in particular mean-field methods and manifolds, and is designed for doctoral students from EPFL with a strong background in physics or math and previous exposure to computational neuroscience. It is also open for PhD students in theoretical neuroscience from other universities in Europe.

The Conferences Theme ‘The Brain in Health and Disease: From Basic to Translational and Clinical Neurosciences’ promises to bring together Neuroscientists from across all spectra of brain sciences. There will be pre-and post- conference workshops, symposia, oral and poster presentations. As an In-Person conference, there will be opportunities for interactions and networking.

The Bernstein Network will have an information booth together with the BBCN Berlin. Meet us there!

Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment.

This course provides broad training in modern approaches to the study of neural mechanisms underlying behavior, perception, and cognition. Through a combination of lectures, exercises, and projects, students investigate neural systems at the molecular, cellular, and organismal levels using state-of-the-art techniques. The eight weeks are divided into two-week cycles, providing participants with an in-depth familiarity with several different experimental model systems. In the first cycle, students study a simple invertebrate model system to develop general experimental skills in electrophysiology, neuroanatomy, and quantitative analysis of physiological and behavioral data. In subsequent cycles, students work on a series of different preparations, providing them with a breadth of knowledge in the field. The list of experimental model systems is updated year-to-year, but always includes a diverse array of vertebrate and invertebrate preparations, chosen to illustrate key concepts and novel techniques in the field. The goal of the course is to expose students to diverse approaches to the investigation of the neural basis of behavior.

Collective behaviour is all around us from flocks of birds to schools of fish to human crowds. Collective behaviour happens across multiple spatial and temporal scales making it one of the most ubiquitous, natural phenomena around us. For a long time, organismal collective behaviour has been studied separately across many disciplines from biology to ecology to physics to engineering. The aim of this school is to bring multiple disciplinary approaches to collective behaviour, studying a wide variety of organisms using different methods. The school thus aims to prepare the next generation of scientists that are exposed to a breadth of approaches to study collective behaviour.

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

The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics.

The ACAIN 2023 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.

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 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 to these topics.

Subcortical sensory circuits play a fundamental role in the perception of the outside world. However, they are often thought of as relay stations that passively transmit sensory information to the cortex or simple effectors of behavioral reflexes. Recent studies, however, suggest that subcortical pathways also perform sophisticated computations, such as integrating peripheral information among many sensory pathways and the animal’s internal states. This meeting will gather leading researchers in the field to discuss different subcortical circuits involving various sensory modalities and revisit their increasingly complex and interconnected contributions to perception, behavior, and cognition. Furthermore, we will delve into various topics which often play an interconnected role with sensory perception and are crucial to a detailed yet holistic understanding of perceptual circuits.

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.