Principles of sensorimotor learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience
Link
http://www.nature.com/articles/nrn3112.pdf
Reference134 articles.
1. Itti, L. & Koch, C. Computational modelling of visual attention. Nature Rev. Neurosci. 2, 194–203 (2001).
2. Hayhoe, M. & Ballard, D. Eye movements in natural behavior. Trends Cogn. Sci. 9, 188–194 (2005).
3. Najemnik, J. & Geisler, W. S. Optimal eye movement strategies in visual search. Nature 434, 387–391 (2005). The authors derive an ideal Bayesian observer to select the eye movement that gains the most information about target location in a cluttered environment. By examining humans in this task they show that they are nearly optimal compared to this model, suggesting that eye movements are chosen to maximize information about target location.
4. Land, M. & Tatler, B. Looking and Acting: Vision and Eye Movements in Natural Behaviour (Oxford Univ. Press, New York, 2009).
5. Land, M. & McLeod, P. From eye movements to actions: how batsmen hit the ball. Nature Neurosci. 3, 1340–1345 (2000).
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