Theoretical and Computational Neuroscience Summer School
Why CNeuro?
How intelligence and behaviour emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function.
Wanting to make state-of-the-art knowledge accessible to interested students and researchers around the globe, the organizers decided to create CNeuro in 2018. Every year, they put together a summer school program of the highest level, inviting a handpicked set of brilliant scientists who are leaders in their field. The selected faculty shares its expertise and latest research insights with the participants of the summer schools.
CNeuro2024
Theoretical & Computational Neuroscience Summer School
This year's Summer School will take place in Beijing, China
on Monday, 8 July to Monday, 15 July 2024
The aim of this annually held one-week summer school is to introduce students with a strong quantitative background in
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mathematics,
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physics,
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computer science,
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engineering
to the emerging field of theoretical and computational neuroscience.
The course brings together leading scientists in the field who deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school serves as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. In the last few years, we have focused on theoretical approaches to neural coding, neuronal dynamics, neuronal representations and network neuroscience. This year’s event will be organized around a central theme — learning, memory, and decision making in brains and machines — and will examine its various facets, from neurobiology to circuit neuroscience to cognition to artificial intelligence. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups.
Each year, the organisers of the CNeuro summer school make every effort to recruit students from a diverse background, including all genders and ethnic groups.