research
∙
06/23/2022
Single-phase deep learning in cortico-cortical networks
The error-backpropagation (backprop) algorithm remains the most common s...
share
research
∙
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...
research
∙
10/21/2021
Cortico-cerebellar networks as decoupling neural interfaces
The brain solves the credit assignment problem remarkably well. For cred...
research
∙
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...
research
∙
05/12/2021
CCN GAC Workshop: Issues with learning in biological recurrent neural networks
This perspective piece came about through the Generative Adversarial Col...
research
∙
10/26/2018
Dendritic cortical microcircuits approximate the backpropagation algorithm
Deep learning has seen remarkable developments over the last years, many...
research
∙
12/30/2017
Dendritic error backpropagation in deep cortical microcircuits
Animal behaviour depends on learning to associate sensory stimuli with t...
research
∙
11/07/2017