Neural Substrate and Computation for Perceptual Decision Making
Author:
Affiliation:
1. Institute for Quantitative Biosciences (IQB), the University of Tokyo
Publisher
Japanese Neural Network Society
Link
https://www.jstage.jst.go.jp/article/jnns/27/3-4/27_165/_pdf
Reference47 articles.
1. 1) Dayan, P., Daw, N. D. (2008): Decision theory, reinforcement learning, and the brain, Cogn. Affect. Behav. Neurosci., Vol.8, pp.429-453.
2. 2) Gold, J. I., Ding, L. (2013): How mechanisms of perceptual decision-making affect the psychometric function, Prog. Neurobiol., Vol.103, pp.98-114.
3. 3) Pisupati, S., Chartarifsky-Lynn, L., Khanal, A., Churchland, A. K. (2019): Lapses in perceptual judgments reflect exploration, bioRxiv, 613828; doi:10.1101/613828.
4. 4) Funamizu, A., Ito, M., Doya, K., Kanzaki, R., Takahashi, H. (2012): Uncertainty in action-value estimation affects both action choice and learning rate of the choice behaviors of rats, Eur. J. Neurosci., doi:10.1111/j.1460-9568.2012.08025.x.
5. 5) Körding, K. P., Wolpert, D. M. (2004): Bayesian integration in sensorimotor learning, Nature, Vol.427, pp.244-247.
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