Computational model
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
"... Similar to a previous study (Saudargiene et al., 2004) we employ a differential Hebbian learning rule to emulate spike-timing dependent plasticity and investigate how the interaction of dendritic and back-propagating spikes, as the post-synaptic signals, could influence plasticity. ..."
  • Tamosiunaite M, Porr B, Wörgötter F (2007) Show Other
Self-influencing synaptic plasticity: Reccurent changes of synaptic weights can lead to specific functional properties. Minija Tamosiunaite, Bernd Porr and Florentin Wörgötter, Journal of Computational Neuroscience. DOI 10.1007/s10827-007-0021-2
Other categories referring to Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
Revisions: 5
Last Time: 3/5/2009 4:04:49 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin