68 citations · 211 across the 8 of their papers we have counts for
8 papers
Single-phase deep learning in cortico-cortical networks
Will Greedy, Heng Wei Zhu, Joseph Pemberton +2
The error-backpropagation (backprop) algorithm remains the most common solution to the credit assignment problem in artificial neural networks. In neuroscience, it is unclear wheth…
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
Milton L. Montero, Jeffrey S. Bowers, Rui Ponte Costa +2
Recent research has shown that generative models with highly disentangled representations fail to generalise to unseen combination of generative factor values. These findings contr…
Cortico-cerebellar networks as decoupling neural interfaces
Joseph Pemberton, Ellen Boven, Richard Apps +1
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 f…
Learning offline: memory replay in biological and artificial reinforcement learning
Emma L. Roscow, Raymond Chua, Rui Ponte Costa +2
Learning to act in an environment to maximise rewards is among the brain's key functions. This process has often been conceptualised within the framework of reinforcement learning,…
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
Luke Y. Prince, Roy Henha Eyono, Ellen Boven +9
We provide a brief review of the common assumptions about biological learning with findings from experimental neuroscience and contrast them with the efficiency of gradient-based l…
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio +1
Deep learning has seen remarkable developments over the last years, many of them inspired by neuroscience. However, the main learning mechanism behind these advances - error backpr…
Dendritic error backpropagation in deep cortical microcircuits
João Sacramento, Rui Ponte Costa, Yoshua Bengio +1
Animal behaviour depends on learning to associate sensory stimuli with the desired motor command. Understanding how the brain orchestrates the necessary synaptic modifications acro…
Cortical microcircuits as gated-recurrent neural networks
Rui Ponte Costa, Yannis M. Assael, Brendan Shillingford +2
Cortical circuits exhibit intricate recurrent architectures that are remarkably similar across different brain areas. Such stereotyped structure suggests the existence of common co…