Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity.

ABSTRACT: In many brain areas, sensory responses are heavily modulated by factors including attentional state, context, reward history, motor preparation, learned associations, and other cognitive variables. Modelling the effect of these modulatory factors on sensory responses has proven challenging, mostly due to the time-varying and nonlinear nature of the underlying computations. Here we present a computational model capable of capturing and dissociating multiple time-varying modulatory effects on neuronal responses on the order of milliseconds. The model's performance is tested on extrastriate perisaccadic visual responses in nonhuman primates. Visual neurons respond to stimuli presented around the time of saccades differently than during fixation. These perisaccadic changes include sensitivity

SUBMITTER: Niknam K 

PROVIDER: S-EPMC6759185 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature