Backpropagation and the brain
During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses are embedded within multilayered networks, making it difficult to determine the effect of an individual synaptic modification on the behaviour of the system. The backpropagation algorithm solves this problem i...
Main Authors: | Lillicrap, TP, Santoro, A, Marris, L, Akerman, CJ, Hinton, G |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Nature Research
2020
|
Similar Items
-
Random synaptic feedback weights support error backpropagation for deep learning
by: Lillicrap, T, et al.
Published: (2016) -
Can the brain do backpropagation? — exact implementation of backpropagation in predictive coding networks
by: Song, Y, et al.
Published: (2020) -
Unsupervised discovery of nonlinear structure using contrastive backpropagation.
by: Hinton, G, et al.
Published: (2006) -
Multi-Backpropagation network
by: Wan Ishak, Wan Hussain, et al.
Published: (2002) -
A framework for multi-backpropagation
by: Wan Ishak, Wan Hussain, et al.
Published: (2003)