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Joseph Oliver Pemberton

2 accepted papers

2022

Single-phase deep learning in cortico-cortical networks

NeurIPS 2022accept

The error-backpropagation (backprop) algorithm remains the most common solution to the credit assignment problem in artificial neural networks. In neuroscience, it is unclear whether the brain could adopt a similar strategy to correctly modify its synapses. Recent models have attempted to bridge thi…

2021

Cortico-cerebellar networks as decoupling neural interfaces

NeurIPS 2021poster

The brain solves the credit assignment problem remarkably well. For credit to be assigned across neural networks they must, in principle, wait for specific neural computations to finish. How the brain deals with this inherent locking problem has remained unclear. Deep learning methods suffer from si…