Hybrid Neural Network Models Explain Cortical Neuronal Activity During Volitional Movement.

ABSTRACT: Massive interconnectivity in large-scale neural networks is the key feature underlying their powerful and complex functionality. We have developed hybrid neural network (HNN) models that allow us to find statistical structure in this connectivity. Describing this structure is critical for understanding biological and artificial neural networks. The HNNs are composed of artificial neurons, a subset of which are trained to reproduce the responses of individual neurons recorded experimentally. The experimentally observed firing rates came from populations of neurons recorded in the motor cortices of monkeys performing a reaching task. After training, these networks (recurrent and spiking) underwent the same state transitions as those observed in the empirical data, a result that helps resolve

SUBMITTER: Mao H 

PROVIDER: S-EPMC11870545 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature