Brain State Dynamics Underlying False Alarms
Bikash Sahoo, Adam Snyder, University of Rochester, United States
Posters 3 Poster
Pacific Ballroom H-O
Sat, 27 Aug, 19:30 - 21:30 Pacific Time (UTC -7)
Population-level neural activities evolve in a time-dependent manner forming trajectories in the neural state-space. We assumed that distinct types of behavior may elicit different trajectories in the same population. Our hypothesis was that degree of stability of a neural trajectory would be positively related with the stability of the associated behavior. We characterized the stability of neural trajectory by the amount of pulling force exerted on the neural states towards the said trajectory. In this study, we used local field potentials from monkey visual area V4 engaged with a non-match-to-sample task, to estimate neural trajectories and stability of the trajectories (N=2). Monkeys were first presented with two sample Gabor patches across visual hemifields and were required to stay fixated on a central dot until an orientation change occurred in any of the subsequent presentations of the Gabor patches. Saccades during no-change stimuli presentation were considered as false alarms. The number of no-change stimuli monkeys could fixate for before making a false alarm was taken as a measure of stability of the behavior under consideration i.e., fixation. Our results support our hypothesis that more stable neural trajectories co-occurred with more stable behavior i.e., longer fixation without making a false alarm.