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Biologically motivated reinforcement learning in spiking neural networks

I consider the problem of Reinforcement Learning (RL) in a biologically feasible neural network model, as a proxy for investigating RL in the brain itself. Recent research has demonstrated that synaptic plasticity in the higher regions of the brain (such as the cortex and striatum) depends on neurom...

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Bibliographic Details
Main Author: Rance, Dean
Other Authors: Shock, Jonathan
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2023
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