Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule |
| |
Authors: | Marinaro Maria Scarpetta Silvia Yoshioka Mashaiko |
| |
Institution: | Dipartimento di Fisica E.R.Caianiello, Universita di Salerno, Via S.Allende Baronissi, SA, Italy. |
| |
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. |
| |
Keywords: | Associative memory Oscillatory neural networks Cortical networks Plasticity Learning |
本文献已被 ScienceDirect PubMed 等数据库收录! |