Supplement: The uncertainty principle of measurement in vision
Year: 2010
Type: preprint
Abstract: We review the reasoning underlying two approaches to combination of sensory uncertainties. First approach is noncommittal, making no assumptions about properties of uncertainty or parameters of stimulation, as in Gepshtein, Tyukin, and Albright (2010). Then we explain the relationship between this approach and the one commonly used in modeling higher level aspects of sensory systems, such as in visual cue integration, where assumptions are made about properties of stimulation. The two approaches follow similar logic, except in one case maximal *uncertainty* is minimized and in the other minimal *certainty* is maximized. Then we demonstrate how optimal solutions are found to the problem of resource allocation under uncertainty.
Source: arXiv (Cornell University)
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1530302559