Predicting neural activity in connectome-constrained recurrent networks
Manuel Beiran, Ashok Litwin-Kumar · COSYNE 2025
Recent technological advances have enabled the measurement of the ‘connectome,’ or synaptic wiring diagram, of neurons across large brain regions or entire brains. Theoretical work has long sought to link connectivity features of large neural networks to their emergent dynamics. Nevertheless, how to integrate connectomics data and neural recordings to determine the function of a neural system remains challenging, given the physiological properties of individual neurons that remain unconstrained. To address this, we developed a theory that describes the space of solutions when inferring activit
ePoster · Neuroscience