Role of connectivity anisotropies in the dynamics of cultured neuronal networks.

ABSTRACT: An inherent challenge in designing laboratory-grown, engineered living neuronal networks lies in predicting the dynamic repertoire of the resulting network and its sensitivity to experimental variables. To fill this gap, and inspired by recent experimental studies, we present a numerical model designed to replicate the anisotropies in connectivity introduced through engineering, characterize the emergent collective behavior of the neuronal network, and make predictions. The numerical model is developed to replicate experimental data, and subsequently used to quantify network dynamics in relation to tunable structural and dynamical parameters. These include the strength of imprinted anisotropies, synaptic noise, and average axon lengths. We show that the model successfully captures the beha

SUBMITTER: Houben AM 

PROVIDER: S-EPMC12614803 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature