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  • Title: Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule.
    Author: Marinaro M, Scarpetta S, Yoshioka M.
    Journal: Math Biosci; 2007 Jun; 207(2):322-35. PubMed ID: 17306840.
    Abstract:
    In this paper, we propose an iterative learning rule that allows the imprinting of correlated oscillatory patterns in a model of the hippocampus able to work as an associative memory for oscillatory spatio-temporal patterns. We analyze the dynamics in the Fourier domain, showing how the network selectively amplify or distort the Fourier components of the input, in a manner which depends on the imprinted patterns. We also prove that the proposed iterative local rule converges to the pseudo-inverse rule generalized to oscillatory patterns.
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