ePoster · Computational Neuroscience
A general theory of Hebbian sequence learning
Matthew Farrell · Neuromatch 5
Wed, Sep 28, 2022
Understanding how neural circuits generate sequential activity is a longstanding challenge. While theoretical models have previously demonstrated how sequences can be stored as memories with Hebbian plasticity rules, these models considered only a particular Hebbian rule that is not observed in experiments. Here we consider a recently introduced model for arbitrary Hebbian plasticity rules and show how the choice of these rules and of the neural activity patterns influences memorized sequence retrieval. In particular, we derive a general theory that predicts the speed of sequence traversal. Th