The functional role of oscillatory dynamics in neocortical circuits: A computational perspective.

ABSTRACT: The dynamics of neuronal systems are characterized by hallmark features such as oscillations and synchrony. However, it has remained unclear whether these characteristics are epiphenomena or are exploited for computation. Due to the challenge of selectively interfering with oscillatory network dynamics in neuronal systems, we simulated recurrent networks of damped harmonic oscillators in which oscillatory activity is enforced in each node, a choice well supported by experimental findings. When trained on standard pattern recognition tasks, these harmonic oscillator recurrent networks (HORNs) outperformed nonoscillatory architectures with respect to learning speed, noise tolerance, and parameter efficiency. HORNs also reproduced a many characteristic features of neuronal systems, such as th

SUBMITTER: Effenberger F 

PROVIDER: S-EPMC11789028 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature