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Frontiers in Computational Neuroscience|April 18, 2022
A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow ProcessingScott T Steinmetz, Oliver W Layton, Nathaniel V Powell, et al.Journal of Experimental Psychology. Human Perception and Performance|June 29, 2005
Calibration, information, and control strategies for braking to avoid a collisionBrett R FajenJournal of Vision|October 4, 2008
Learning novel mappings from optic flow to the control of actionBrett R FajenPerception & Psychophysics|August 23, 2008
Perceptual learning and the visual control of brakingBrett R FajenJournal of Experimental Psychology. Human Perception and Performance|November 3, 2005
The scaling of information to action in visually guided brakingBrett R FajenExperimental Brain Research|July 20, 2007
Rapid recalibration based on optic flow in visually guided actionBrett R FajenPerception|July 27, 2005
Perceiving possibilities for action: on the necessity of calibration and perceptual learning for the visual guidance of actionBrett R FajenFrontiers in Behavioral Neuroscience|July 26, 2013
Guiding locomotion in complex, dynamic environmentsBrett R FajenJournal of Experimental Psychology. Human Perception and Performance|May 23, 2003
Behavioral dynamics of steering, obstacle avoidance, and route selectionBrett R Fajen, William H WarrenPsychonomic Bulletin & Review|October 16, 2014
Decision-tree analysis of control strategiesRomann M Weber, Brett R FajenPageof 6