Statistical decision theory and the selection of rapid, goal-directed movements.
By Julia Trommershäuser, Laurence T. Maloney, Michael S. Landy. Journal of The Optical Society of America A-optics Image Science and Vision, 2003
297 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/93670fb545f7533dd261960b3fcfbbe22154d679
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Peter S. Dayan
- Nathaniel D. Daw
- Dana H. Ballard
- Mehrdad Jazayeri
- Karl J. Friston
- Xiao-Jing Wang
- Mary M. Hayhoe
- Yael Niv
In Developmental and Educational Psychology
Citations in the corpus
- Temporal context calibrates interval timing (2010, methodology): “Finally, a noisy production stage converted estimates to production time”
- Eye movements in natural behavior. (2005, background): “Trommershauser and colleagues [51] have shown that subjects making fast hand movements are able to learn a complicated spatially distributed target reward system and behave in a nearly optimal manner to maximize reward.”
- Decision theory, reinforcement learning, and the brain (2008, background): “…2004); subjects even appear to have a good idea about the noise associated with their own sensations (Whiteley and Sahani, 2008) and actions (Trommershäuser et al., 2003b,a, 2006), and can cope with even more sophisticated cases in which cues are two dimensional (visual: cvα and auditory:…”
- Prospective Optimization (2014, background): “For example, in a study of rapid reaching movements toward small visual stimuli [35], touching of overlapping disks (‘‘target’’ and ‘‘penalty’’) incurred, respectively, monetary rewards and penalties.”