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.
journal_name
Math Bioscijournal_title
Mathematical biosciencesauthors
Marinaro M,Scarpetta S,Yoshioka Mdoi
10.1016/j.mbs.2006.10.001subject
Has Abstractpub_date
2007-06-01 00:00:00pages
322-35issue
2eissn
0025-5564issn
1879-3134pii
S0025-5564(06)00194-5journal_volume
207pub_type
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