caa a22 4500 47703425X CHVBK 20180405111301.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF00426022 doi (NATIONALLICENCE)springer-10.1007/BF00426022 A temporal model of linear anti-Hebbian learning [Elektronische Daten] [Mark Girolami, Colin Fyfe] A temporal variant of Foldiak's first model with lateral inhibitory synaptic weights is proposed. The usual symmetric scalar values of the lateral weights are replaced with data driven asymmetric memory based lateral weights, which take the form of Finite Impulse Response (FIR) coefficients. Linear anti-Hebbian learning, as defined by Foldiak (IEEE/INNS International Joint Conference on Neural Networks, 1989) and Matsuoka et al. (Neural Networks, Vol. 8, pp. 411-419, 1995), is employed in the self-organisation of the network weights. The temporal anti-Hebbian learning, when applied to the separation of convolved mixtures of signals, causes the network weights to converge to the truncated FIR filter coefficients of the unmixing transfer function and so recover the original signals. Simulation results are presented for separating two natural speech sources convolved and mixed by a priori unknown direct and cross-coupled transfer functions. We compare temporal anti-Hebbian learning with information maximisation learning when applied to the blind separation of convolved sources. Kluwer Academic Publishers, 1996 anti-Hebbian learning nationallicence blind separation nationallicence FIR filters nationallicence lateral inhibition nationallicence Girolami Mark Department of Computing and Information Systems, University of Paisley, High Street, PA1 2BE, Paisley, Scotland aut Fyfe Colin Department of Computing and Information Systems, University of Paisley, High Street, PA1 2BE, Paisley, Scotland aut Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 139-148 1370-4621 4:3<139 1996 4 11063 https://doi.org/10.1007/BF00426022 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00426022 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Girolami Mark Department of Computing and Information Systems, University of Paisley, High Street, PA1 2BE, Paisley, Scotland aut NATIONALLICENCE 700 1- Fyfe Colin Department of Computing and Information Systems, University of Paisley, High Street, PA1 2BE, Paisley, Scotland aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 139-148 1370-4621 4:3<139 1996 4 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer