Abbott LF, Nelson SB. (2000). Synaptic plasticity: taming the beast. Nature neuroscience. 3 Suppl [PubMed]
Bhaumik B, Mathur M. (2003). A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivity. Journal of computational neuroscience. 14 [PubMed]
Burkitt AN, Meffin H, Grayden DB. (2004). Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural computation. 16 [PubMed]
Costa RP, Froemke RC, Sjöström PJ, van Rossum MC. (2015). Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. eLife. 4 [PubMed]
Fiori S. (2005). Nonlinear complex-valued extensions of Hebbian learning: an essay. Neural computation. 17 [PubMed]
Gerstner W, Kistler WM. (2002). Mathematical formulations of Hebbian learning. Biological cybernetics. 87 [PubMed]
Toyoizumi T, Kaneko M, Stryker MP, Miller KD. (2014). Modeling the dynamic interaction of Hebbian and homeostatic plasticity. Neuron. 84 [PubMed]
Toyoizumi T, Pfister JP, Aihara K, Gerstner W. (2007). Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural computation. 19 [PubMed]
Ursino M, La Cara GE. (2005). Dependence of visual cell properties on intracortical synapses among hypercolumns: analysis by a computer model. Journal of computational neuroscience. 19 [PubMed]