Knill DC, Pouget A. (2004). The Bayesian brain: the role of uncertainty in neural coding and computation. Trends in neurosciences. 27 [PubMed]

See more from authors: Knill DC · Pouget A

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

Beck JM, Pouget A. (2007). Exact inferences in a neural implementation of a hidden Markov model. Neural computation. 19 [PubMed]

Cisek P. (2006). Integrated neural processes for defining potential actions and deciding between them: a computational model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Hiratani N, Fukai T. (2018). Redundancy in synaptic connections enables neurons to learn optimally. Proceedings of the National Academy of Sciences of the United States of America. 115 [PubMed]

Lim S, Goldman MS. (2013). Balanced cortical microcircuitry for maintaining information in working memory. Nature neuroscience. 16 [PubMed]

Lim S, Goldman MS. (2014). Balanced cortical microcircuitry for spatial working memory based on corrective feedback control. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Sakura M, Lambrinos D, Labhart T. (2008). Polarized skylight navigation in insects: model and electrophysiology of e-vector coding by neurons in the central complex. Journal of neurophysiology. 99 [PubMed]

Sato Y, Toyoizumi T, Aihara K. (2007). Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli. Neural computation. 19 [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.