Abstract
To understand how activity patterns in neural circuits drive behaviour, it is essential to not only read out activity patterns, but also to manipulate them on the spatial and temporal timescale that are relevant to the computations being carried out during behaviour. This project will harness a novel “all-optical closed loop” strategy for targeted manipulation of activity patterns based on real-time readout in order to enable ‘on-the-fly’ interventions in neural circuit dynamics during behaviour. By manipulating the right neurons at the right time we may be able to optimize network activity patterns to improve behavioural performance.
References
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