Recall tempo of Hebbian sequences depends on the interplay of Hebbian kernel with tutor signal timing.

ABSTRACT: Understanding how neural circuits generate sequential activity is a longstanding challenge. While foundational theoretical models have shown how sequences can be stored as memories in neural networks with Hebbian plasticity rules, these models considered only a narrow range of Hebbian rules. Here, we introduce a model for arbitrary Hebbian plasticity rules, capturing the diversity of spike-timing-dependent synaptic plasticity seen in experiments, and show how the choice of these rules and of neural activity patterns influences sequence memory formation and retrieval. In particular, we derive a general theory that predicts the tempo of sequence replay. This theory lays a foundation for explaining how cortical tutor signals might give rise to motor actions that eventually become "automatic."

SUBMITTER: Farrell M 

PROVIDER: S-EPMC11317560 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature