Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network
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DOI: 10.7554/elife.63751
Abstract: Multiple brain regions are able to learn and express temporal sequences, and this functionality is an essential component of learning and memory. We propose a substrate for such representations via a network model that learns… read more here.
Keywords: biophysically realistic; model; realistic learning; network ... See more keywords