For instance, Yuille and Bülthoff [44] describe the Bayesian approach to perception in terms of faithful depiction: “We define vision as perceptual inference, the estimation of scene properties from an image or sequence of images . . . ther…the Rear-Mirror: Romantic Aesthetics, Culture, and Science Seen from Today. Festschrift for Frederick Burwick on the Occasion of His Seventieth Birthday, ed. W. Pape (WVT, Wissenschaftlicher Verlag Trier: Trier) (Studien zur Englischen Roma…
Steve Lehar
scientist · 2 mentions across 1 reading
In this course
Steve Lehar appears primarily as a theorist of visual perception and spatial representation in neural systems, contributing to debates about how the brain constructs three-dimensional models from sensory input. The course readings invoke his work within discussions of Bayesian inference and perceptual reconstruction, positioning him alongside researchers like Yuille and Bülthoff who treat vision as a computational problem of inferring world structure from insufficient image data. His relevance to Pandaemonium Architecture lies in bridging perception science and questions about how artificial and biological systems construct spatial understanding—a core concern for understanding machine vision and embodied cognition in the context of AI systems.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.
Alva Noë 1D. Heyer 1Dale Purves 1Donald D. Hoffman 1Evan Thompson 1Frederick Burwick 1J.K. Regan 1K.A. Jameson 1Louis Narens 1Martin A. Nowak 1Michele Mosca 1Natalia L. Komarova 1P. Kaye 1R. B. Lotto 1Rainer Mausfeld 1Raymond Laflamme 1Stephen E. Palmer 1Steven Pinker 1Vilayanur S. Ramachandran 1W. Pape 1Alan Yuille 1Heinrich Bülthoff 1Jeffrey Diehl 1Wilson S. Geisler 1