Connectome-constrained networks predict neural activity across the fly visual system.

ABSTRACT: We can now measure the connectivity of every neuron in a neural circuit^1-9, but we cannot measure other biological details, including the dynamical characteristics of each neuron. The degree to which measurements of connectivity alone can inform the understanding of neural computation is an open question¹⁰. Here we show that with experimental measurements of only the connectivity of a biological neural network, we can predict the neural activity underlying a specified neural computation. We constructed a model neural network with the experimentally determined connectivity for 64 cell types in the motion pathways of the fruit fly optic lobe^1-5 but with unknown parameters for the single-neuron and single-synapse properties. We then optimized the values of the

SUBMITTER: Lappalainen JK 

PROVIDER: S-EPMC11525180 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature