Ian Cone

Postdoctoral research associate

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My research is broadly focused on understanding how learning techniques from artificial intelligence can inform us about plasticity in the brain. I am particularly interested in how biophysically plausible learning rules can appropriately assign credit such that brain-like neural networks can develop the complex latent structure required for cognition and behaviour. I have previously studied methods of sequence learning in visual cortex and theories of splitter cell formation in hippocampus.