David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Neurophysiological investigations of the visual system by way of single-cell recordings have revealed a hierarchical architecture in which lower level areas, such as the primary visual cortex, contain cells that respond to simple features, while higher level areas contain cells that respond to higher order features apparently composed of combinations of lower level features. This architecture seems to suggest a feed-forward processing strategy in which visual information progresses from lower to higher visual areas. However there is other evidence, both neurophysiological and phenomenal, that suggests a more parallel processing strategy in biological vision, in which top-down feedback plays a significant role. In fact Gestalt theory suggests that visual perception involves a process of emergence, i.e. a dynamic relaxation of multiple constraints throughout the system simultaneously, so that the final percept represents a stable state, or energy minimum of the dynamic system as a whole. A Multi-Level Reciprocal Feedback (MLRF) model is proposed to resolve the apparently contradictory concepts, by proposing a hierarchical visual architecture whose different levels are connected by bi-directional feed-forward and feedback pathways, where the computational transformation performed by the feedback pathway between levels in the hiararchy is a kind of inverse of the transformation performed by the corresponding feed-forward processing stream. This alternative paradigm of perceptual computation accounts in general terms for a number of visual illusory effects, and offers a computational specification for the generative, or constructive aspect of perceptual processing revealed by Gestalt theory
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Semir Zeki & Andreas Bartels (1999). Toward a Theory of Visual Consciousness. Consciousness and Cognition 8 (2):225-59.
Simon Clavagnier, Arnaud Falchier & Henry Kennedy (2004). Long-Distance Feedback Projections to Area V1: Implications for Multisensory Integration, Spatial Awareness, and Visual Consciousness. Cognitive, Affective and Behavioral Neuroscience. Special Issue 4 (2):117-126.
Victor A. F. Lamme (2001). Neural Mechanisms of Visual Awareness: A Linking Proposition. [REVIEW] Brain and Mind 1 (3):385-406.
Vincent Di Lollo, James T. Enns & Ronald A. Rensink (2000). Competition for Consciousness Among Visual Events: The Psychophysics of Reentrant Visual Processes. Journal of Experimental Psychology: General 129 (4):481.
Petra Stoerig & Stephan Brandt (1993). The Visual System and Levels of Perception: Properties of Neuromental Organization. Theoretical Medicine and Bioethics 14 (2).
Jean Bullier (2001). Feedback Connections and Conscious Vision. Trends in Cognitive Sciences 5 (9):369-370.
Stephen Grossberg (2003). Linking Visual Cortex to Visual Perception: An Alternative to the Gestalt Bubble. Behavioral and Brain Sciences 26 (4):412-413.
L. M. Vaina (1990). What and Where in the Human Visual System: Two Hierarchies of Visual Modules. Synthese 83 (1):49-91.
Steven Lehar (2003). Gestalt Isomorphism and the Primacy of Subjective Conscious Experience: A Gestalt Bubble Model. Behavioral and Brain Sciences 26 (4):357-408.
Added to index2009-01-28
Total downloads70 ( #20,101 of 1,100,968 )
Recent downloads (6 months)14 ( #12,197 of 1,100,968 )
How can I increase my downloads?