Mazzoni P, Andersen RA, Jordan MI. (1991). A more biologically plausible learning rule for neural networks. Proceedings of the National Academy of Sciences of the United States of America. 88 [PubMed]

See more from authors: Mazzoni P · Andersen RA · Jordan MI

References and models cited by this paper
References and models that cite this paper

Florian RV. (2007). Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. Neural computation. 19 [PubMed]

Körding KP, König P. (2001). Supervised and unsupervised learning with two sites of synaptic integration. Journal of computational neuroscience. 11 [PubMed]

Roelfsema PR, van Ooyen A. (2005). Attention-gated reinforcement learning of internal representations for classification. Neural computation. 17 [PubMed]

Softky WR, Koch C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 13 [PubMed]

Stroud JP, Porter MA, Hennequin G, Vogels TP. (2018). Motor primitives in space and time via targeted gain modulation in cortical networks. Nature neuroscience. 21 [PubMed]

Swinehart CD, Abbott LF. (2005). Supervised learning through neuronal response modulation. Neural computation. 17 [PubMed]

Tan AY, Andoni S, Priebe NJ. (2013). A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience. 247 [PubMed]

Whittington JCR, Bogacz R. (2017). An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity. Neural computation. 29 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.