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Synaptic learning rules for sequence learning
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DOI：10.7554/eLife.67171.png)
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Abstract
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Remembering the temporal order of a sequence of events is a task easily performed by humans in everyday life, but the underlying neuronal mechanisms are unclear. This problem is particularly intriguing as human behavior often proceeds on a time scale of seconds, which is in stark contrast to the much faster millisecond time-scale of neuronal processing in our brains. One long-held hypothesis in sequence learning suggests that a particular temporal fine-structure of neuronal activity - termed 'phase precession' - enables the compression of slow behavioral sequences down to the fast time scale of the induction of synaptic plasticity. Using mathematical analysis and computer simulations, we find that - for short enough synaptic learning windows phase precession can improve temporal-order learning tremendously and that the asymmetric part of the synaptic learning window is essential for temporal-order learning. To test these predictions, we suggest experiments that selectively alter phase precession or the learning window and evaluate memory of temporal order.
Keywords:
TIMING-DEPENDENT PLASTICITY
THETA PHASE PRECESSION
HIPPOCAMPAL-NEURONS
ENTORHINAL CORTEX
MEMORY
OSCILLATIONS
CELLS
WAVES
COMPRESSION
INHERITANCE
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