Abstract
Recent experimental evidence suggests that the hippocampus replays a temporally compressed version of recently-learned spatial sequence information during slow-wave sleep. This phase of sleep is characterized by intermittent episodes of high-frequency firing known as sharp waves. Here we partially characterize a simplified neural network model of hippocampal area CA3, based on integrate-and-fire cells, which is capable of recalling temporally compressed sequence information during brief periods of high activity.
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© 1997 Springer Science+Business Media New York
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August, D.A., Levy, W.B. (1997). Spontaneous Replay of Temporally Compressed Sequences by a Hippocampal Network Model. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_38
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DOI: https://doi.org/10.1007/978-1-4757-9800-5_38
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