Dylan R. Muir

The paper shows that inhibitory neurons in mouse primary visual cortex selectively connect with excitatory neurons based on response similarity, stabilizing network dynamics and enabling subnetwork competition.

The paper shows that feature binding connectivity in mouse V1 better explains plaid stimulus responses than orientation-tuned connectivity.

The paper investigates how large-scale inhibition perturbations are needed to detect inhibition-stabilized networks in cortical models, suggesting new experimental approaches are required.

The paper presents a computational model of columnar visual cortex that explains surround suppression and response properties through competitive dynamics involving local and long-range connections.