caa a22 4500 463245482 CHVBK 20180405153324.0 cr unu---uuuuu 170326e20070501xx s 000 0 eng 10.1007/s00422-007-0148-2 doi (NATIONALLICENCE)springer-10.1007/s00422-007-0148-2 Spike-timing-dependent plasticity for neurons with recurrent connections [Elektronische Daten] [A. Burkitt, M. Gilson, J. van Hemmen] The dynamics of the learning equation, which describes the evolution of the synaptic weights, is derived in the situation where the network contains recurrent connections. The derivation is carried out for the Poisson neuron model. The spiking-rates of the recurrently connected neurons and their cross-correlations are determined self- consistently as a function of the external synaptic inputs. The solution of the learning equation is illustrated by the analysis of the particular case in which there is no external synaptic input. The general learning equation and the fixed-point structure of its solutions is discussed. Springer-Verlag, 2007 Burkitt A. The Bionic Ear Institute, 384-388 Albert Street, 3002, East Melbourne, VIC, Australia aut Gilson M. The Bionic Ear Institute, 384-388 Albert Street, 3002, East Melbourne, VIC, Australia aut van Hemmen J. Physik Department, TU München, 85747, Garching bei München, Germany aut Biological Cybernetics Springer-Verlag 96/5(2007-05-01), 533-546 0340-1200 96:5<533 2007 96 422 https://doi.org/10.1007/s00422-007-0148-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-007-0148-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Burkitt A. The Bionic Ear Institute, 384-388 Albert Street, 3002, East Melbourne, VIC, Australia aut NATIONALLICENCE 700 1- Gilson M. The Bionic Ear Institute, 384-388 Albert Street, 3002, East Melbourne, VIC, Australia aut NATIONALLICENCE 700 1- van Hemmen J. Physik Department, TU München, 85747, Garching bei München, Germany aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 96/5(2007-05-01), 533-546 0340-1200 96:5<533 2007 96 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer