The Killam Seminar Series

Supported by the generosity of the Killam Trusts, the MNI's Killam Seminar Series invites outstanding guest speakers whose research is of interest to the scientific community at the MNI and McGill University.

Talk Title: Finding Your Way in the Dark: Electric Fish Learn Spatial Maps and Mice Learn Cognitive Maps

Professor, Department of Cellular and Molecular Medicine, Brain and Mind Research Institute, University of Ottawa, Canada

Abstract: Weakly electric fish can find food in the dark using only their short-range electric sense. There are two mechanisms required for such spatial learning: (a) pattern separation for landmark discrimination and (b) path integration of self-motion signals for learning trajectories. The fish use active sensing motions to identify landmarks. The fish used only self-motion signals to rapidly learn efficient trajectories between each landmark and prey. We found that active sensing and self-motion signals were also essential for mice learning the location of food hidden in one of 100 holes within 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 optimal trajectories to food. Initial trajectories were random as were the hole checks. Learning resulted in the mice following a Target Estimation Vector (TEV) that closely approximated the direct home to food vector, and hole checks became restricted and accumulated only around the food site. The mice could successively learn trajectories to two food holes. On a last probe trial, food was omitted from both food locations. Remarkably, after finding no food at the second food location, the mice took a novel shortcut 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 cognitive map using only self-motion cues. I will directly connect the TEVs and hole check accumulation at the reward site to the properties of hippocampal (CA1) place cells of rodents that have learned the location of a hidden food site.

Speaker Bio: Leonard Maler received his BSc from McGill University in 1968 and his PhD from Massachusetts Institute of Technology (MIT) in 1973. After completing postdoctoral fellowships at the Scripps Institution of Oceanography (San Diego) and the Max Planck Institute for Biophysical Chemistry (Göttingen), he joined the University of Ottawa in 1976. He is currently a Distinguished Professor in the Department of Cellular and Molecular Medicine and a member of the Mind and Brain Institute and Center for Neural Dynamics. Maler was a pioneer in the use of weakly electric fi sh as a model system for studying fundamental neural mechanisms of perception. His research now focuses on experimental and computational analyses of neural networks underlying perception and spatial learning in both electric fi sh and mice.

Host or Publisher The Neuro