Deneve S. (2008). Bayesian spiking neurons II: learning. Neural computation. 20 [PubMed]
Fiori S. (2003). Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neurons. Neural computation. 15 [PubMed]
Fiori S. (2005). Nonlinear complex-valued extensions of Hebbian learning: an essay. Neural computation. 17 [PubMed]
Klam F, Zemel RS, Pouget A. (2008). Population coding with motion energy filters: the impact of correlations. Neural computation. 20 [PubMed]
Klyubin AS, Polani D, Nehaniv CL. (2007). Representations of space and time in the maximization of information flow in the perception-action loop. Neural computation. 19 [PubMed]
Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]
Sharpee T, Rust NC, Bialek W. (2004). Analyzing neural responses to natural signals: maximally informative dimensions. Neural computation. 16 [PubMed]
Simmonds B, Chacron MJ. (2015). Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS computational biology. 11 [PubMed]
Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA. (2003). Adaptation and temporal decorrelation by single neurons in the primary visual cortex. Journal of neurophysiology. 89 [PubMed]
Wennekers T, Ay N. (2005). Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural computation. 17 [PubMed]