BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250514T064558EDT-18835uuua0@132.216.98.100 DTSTAMP:20250514T104558Z 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 51ԹUnivers 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