Temporal pavlovian conditioning of a model spiking neural network for discrimination sequences of short time intervals.

ABSTRACT: The brain's ability to learn and distinguish rapid sequences of events is essential for timing-dependent tasks, such as those in sports and music. However, the mechanisms underlying this ability remain an active area of research. Here, we present a Pavlovian-conditioned spiking neural network model that may help elucidate these mechanisms. Using "three-factor learning rule," we conditioned an initially random spiking neural network to discriminate a specific spatiotemporal stimulus - a sequence of two or three pulses delivered within ∼ 10 ms to two or three distinct neuronal subpopulations - from other pulse sequences differing by only a few milliseconds. Through conditioning, a feedforward structure emerges that encodes the target pattern's temporal information into specific topographic

SUBMITTER: Park W 

PROVIDER: S-EPMC11868207 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature