Voltage imaging as a window into neural computation

Abstract

Neural computation spans a range of scales, from dendritic integration within individual neurons to collective dynamics across networks. Voltage imaging provides a powerful approach to study these processes, as it captures both spiking and subthreshold activity of genetically defined populations with high temporal resolution. We discuss the potential of voltage imaging to reveal how cellular properties such as neuronal input-output functions shape network dynamics and population manifolds. By bridging cellular mechanisms and system-level function, voltage imaging opens new opportunities to test multiscale theories of neural computation.