BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250805T214300EDT-2861hSEbDV@132.216.98.100 DTSTAMP:20250806T014300Z DESCRIPTION:\nSupported by the generosity of the Killam Trusts\, The Neuro' s Killam Seminar Series invites outstanding guest speakers whose research is of interest to the scientific community at The Neuro and ɬ﷬ Univers ity.\n\n\nTo attend in person\, register here\n\nTo watch via vimeo\, clic k here\n\n\nLeonard Maler\n\nProfessor\, Department of Cellular and Molecu lar Medicine\, Institute for Brain and Mind Research\, University of Ottaw a\n\nHost: stuart.trenholm [at] mcgill.ca (Stuart Trenholm)\n\nAbstract: W eakly electric fish can find food in the dark using only their short-range electric sense. There are two mechanisms required for such spatial learni ng: (a) pattern separation for landmark discrimination and (b) path integr ation of self-motion signals for learning trajectories. The fish use activ e sensing motions to identify landmarks. The fish used only self-motion si gnals to rapidly learn efficient trajectories between each landmark and pr ey. We found that active sensing and self-motion signals were also essenti al for mice learning the location of food hidden in one of 100 holes withi n an open maze. The mice did not require any visual landmarks to find food and could find food in the dark. Given a stable start site\, they needed only self-motion cues and hole checks (active sensing) to learn near optim al trajectories to food. Initial trajectories were random as were the hole checks. Learning resulted in the mice following a Target Estimation Vecto r (TEV) that closely approximated the direct home to food vector\, and hol e checks became restricted and accumulated only around the food site. The mice could successively learn trajectories to two food holes. On a last pr obe trial\, food was omitted from both food locations. Remarkably\, after finding no food at the second food location\, the mice took a novel shortc ut and ran nearly directly to the first food location\; this location had last been visited 4 days previously. Shortcutting is a key requirement for a “cognitive map” and this is the first evidence that mice can learn a co gnitive map using only self-motion cues. I will directly connect the TEVs and hole check accumulation at the reward site to the properties of hippoc ampal (CA1) place cells of rodents that have learned the location of a hid den food site.\n DTSTART:20241015T200000Z DTEND:20241015T210000Z LOCATION:de Grandpre Communications Centre\, Montreal Neurological Institut e\, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University SUMMARY:Killam Seminar Series: Finding Your Way in the Dark: Electric Fish Learn Spatial Maps and Mice Learn Cognitive Maps URL:/neuro/channels/event/killam-seminar-series-findin g-your-way-dark-electric-fish-learn-spatial-maps-and-mice-learn-358314 END:VEVENT END:VCALENDAR