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AI in basic and clinical neuroscience

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If you have a question about this talk, please contact Oliver Knight .

Traditionally, artificial neural networks have been used for data analysis and as models of the mind and the brain. These two areas have both made historically significant contributions. For example, connectionism as a model of the brain has helped cognitive scientists to understand many computational principles in language acquisition, memory and control of action. Although modern AI inherited many fundamental structures and features in conventional neural network models, its current applications in neuroscience have primarily been data analysis, e.g. for MRI data. In this talk, I will show how modern AI can contribute to both data analysis in neuroscience and also help theorising computational principals implemented by the brain both in normal and diseases.

This talk is part of the Department of Psychiatry & CPFT Thursday Lunchtime Seminar Series series.

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Pharmacology Lunch Club Wolfson College, Barton Road, Cambridge CB3 9BB email hh463@cam.ac.uk for passcode

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