Biologically plausible learning

In this project, we introduce a powerful new biologically plausible machine learning algorithm: the Dendritic Gated Network (DGN), a variant of the Gated Linear Network. DGNs combine dendritic ‘gating’ (whereby ‘interneurons’ target dendrites to shape ’neuronal’ responses) with local learning rules to yield provably robust performance.

The dominant view in neuroscience is that changes in synaptic weights underlie learning. It is unclear, however, how the brain is able …