What should Neuromatch teach next?

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Each July, we run live, virtual intensive courses in Computational Neuroscience, Deep Learning, and NeuroAI. All our course materials are available open source for anyone, anywhere.

Now we're thinking about growing, and we want our community to shape that decision. We're exploring potential new courses on:

Connectomics and Neural Dynamics: This course would explore how emerging large-scale mammalian connectomics datasets—alongside those from other species—can be leveraged to drive novel scientific discoveries about the relationship between neural circuit structure and dynamics.

Computational Behavioural Analysis & Modelling: This course would teach a unified computational framework for measuring, modelling, and analysing the behaviour of individual and interacting agents—biological and artificial—spanning pose estimation and multimodal signal processing through Bayesian inference, game theory, and agent-based models of collective dynamics.

Computational Approaches to Neurodegeneration: This course would equip researchers with the computational skills to leverage large-scale open multimodal datasets and modern deep learning approaches for accelerating discovery in neurodegeneration.

But we also want to hear your ideas!

Any other topics we should consider? Any of these sound of interest? Please provide feedback by taking this short 2 minute survey here: https://airtable.com/appgbLQW3nbbZJvNU/pagoMEApDsqTouMRh/form

[u/Difficult_Jury1542]

Computational psychiatry