Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.

ABSTRACT: The principle of efficient coding posits that sensory cortical networks are designed to encode maximal sensory information with minimal metabolic cost. Despite the major influence of efficient coding in neuroscience, it has remained unclear whether fundamental empirical properties of neural network activity can be explained solely based on this normative principle. Here, we derive the structural, coding, and biophysical properties of excitatory-inhibitory recurrent networks of spiking neurons that emerge directly from imposing that the network minimizes an instantaneous loss function and a time-averaged performance measure enacting efficient coding. We assumed that the network encodes a number of independent stimulus features varying with a time scale equal to the membrane time constant of

SUBMITTER: Koren V 

PROVIDER: S-EPMC11071478 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature