0065 A Novel Automated Task for Spatial Learning in Rodents

Abstract Introduction Spatial learning in rodents is useful for addressing a variety of research questions. We set out to create fully automated spatial task that required make sequence cued navigational decisions. used this maze investigate the impact sleep on insight gain, sudden rather than gradual acquisition skill or behavior. Methods designed circular four-quadrant elevated maze. Each quadrant had three choice points branched arm, consisting reward well and cue light. To discourage rats from backtracking, motorized doors were placed between quadrants. Rats trained follow light water reward. Their position was tracked by custom MATLAB code processing live video ceiling-mounted camera; also controlled all components maze, calculated presented novel routes through analyzed results real time, maintained records each rat across sessions. After an average five days reached criterion pretraining (following lights pseudorandom positions) taught hidden rule: direction second correct fourth (uncued) quadrant. completed one session morning afternoon, separated 3h opportunity disruption, achieved gentle handling. This repeated after night disruption total four Results quickly learned consistently chose well, remaining motivated 96 consecutive trials. said have gained if they demonstrated significant rule. Although no animals yet met criterion, there trend sleep-disrupted performing worse, suggesting plays important role consolidating rules task. Conclusion The versatility can accommodate many tasks not limited gain specifically. Delivering rewards at multiple distinct locations valuable technique investigating learning, navigation, decision making, making powerful tool interventions disease models implicate hippocampus striatum. Support (if any)