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06/23/2022
Single-phase deep learning in cortico-cortical networks
The error-backpropagation (backprop) algorithm remains the most common s...
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04/05/2022
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
Recent research has shown that generative models with highly disentangle...
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10/21/2021
Cortico-cerebellar networks as decoupling neural interfaces
The brain solves the credit assignment problem remarkably well. For cred...
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09/21/2021
Learning offline: memory replay in biological and artificial reinforcement learning
Learning to act in an environment to maximise rewards is among the brain...
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05/12/2021
CCN GAC Workshop: Issues with learning in biological recurrent neural networks
This perspective piece came about through the Generative Adversarial Col...
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10/26/2018
Dendritic cortical microcircuits approximate the backpropagation algorithm
Deep learning has seen remarkable developments over the last years, many...
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12/30/2017
Dendritic error backpropagation in deep cortical microcircuits
Animal behaviour depends on learning to associate sensory stimuli with t...
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11/07/2017
