Nima Dehghani

The paper quantifies morphoelectric properties of inhibitory neurons across cortical depth in rat and mouse brains, finding depth-dependent shifts that apply to all cell types and molecular subtypes.

The paper proposes a multiscale information-theoretic framework to understand how neural circuits control behavior by decomposing brain-wide computations into hierarchical motifs.

The paper investigates the contribution of spiking neurons to local field potentials (LFP) in human and monkey cortex, finding that LFP primarily reflects inhibitory neuron activity.