Abstract. We analyze a model of navigational map formation based on correlation-based, temporally asymmetric potentiation and depression of synapses between hippocampal place cells. We show that synaptic modification during random exploration of an environment shifts the location encoded by place cell activity in such a way that it indicates the direction from any location to a fixed target avoiding walls and other obstacles. Multiple maps to different targets can be simultaneously stored if we introduce target-dependent modulation of place cell activity. Once maps to a number of target locations in a given environment have been stored, novel maps to previously unknown target locations are automatically constructed by interpolation between existing maps.
REF proposed a model of hippocampal map formation based on temporally asymmetric associative learning, in which place cell activity may be entrained to indicate the direction to a fixed target from any location, avoiding walls and other obstacles.
Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells
Journal of Computational Neuroscience
Journal of Computational Neuroscience
Computer Science Mathematics Medicine