Invariant visual object and face learning in the ventral cortical visual pathway: A biologically plausible model.

ABSTRACT: How transform-invariant visual representations of objects and faces are learned in the ventral visual cortical pathway is a massive computational problem. Here we describe key advances towards a biologically plausible four-layer network that performs these computations from the primary visual cortex to the inferior temporal visual cortex. The architecture is a four-layer competitive network with layer-to-layer convergence using a short-term memory trace local synaptic learning rule to associate transforming inputs from an object during natural viewing. The key advances towards biological plausibility include: (1) a synaptic modification rule including long-term depression dependent on synaptic strength instead of artificial synaptic weight normalization; (2) limiting the strength of synaps

SUBMITTER: Zhang C 

PROVIDER: S-EPMC12916060 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature