Oscillations and chaos in the dynamics of the BCM learning rule
© Udeigwe et al; licensee BioMed Central Ltd. 2013
Published: 8 July 2013
The BCM learning rule originally arose from experiments intended for measuring the selectivity of neurons in the primary visual cortex, and it dependence on input stimuli. This learning rule incorporates a dynamic LTP threshold, which depends on the time averaged postsynaptic activity. Although the BCM learning rule has been well studied and some experimental evidence of neuronal adherence has been found in the other areas of the brain, including the hippocampus, there is still much to be known about the dynamic behavior of this learning rule.
where is an input stimulus pattern, and is the synaptic weights. The postsynaptic activity is computed as , and is a "sliding" threshold for the postsynaptic activity. and are constants.
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