David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophical Psychology 10 (4):481 – 488 (1997)
In information theory there is a fundamental principle, usually referred to as the informational “uncertainty principle”, which expresses a limitation of any information processing system (or agent) in terms of a relation between the system's response property and its inherent processing capacity. From this principle, it can be argued that a salutary strategy for dealing with conflicting information processing requirements is to adopt various complementary processes (or channels). Donald M. MacKay had attempted to relate the informational uncertainty principle to spatial and temporal response properties of neurons in the mammalian visual cortex, and suggested that the spatial and the temporal aspects of such neurons are complementary. I attempt to extend his efforts and to show that the informational uncertainty principle may indeed underlie many complementary relations exhibited in human perception and cognition, such as the relation between the two principal processing streams in vision and the relation between parallel and serial processes in cognition.
|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
Robert A. Jacobs & Stephen M. Kosslyn (1994). Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations. Cognitive Science 18 (3):361-386.
D. M. MacKay (1957). Complementary Descriptions. Mind 66 (263):390-394.
Allen Newell (1990). Unified Theories of Cognition. Harvard University Press.
Citations of this work BETA
No citations found.
Similar books and articles
Andreas K. Engel, P. Fries, P. Kreiter Konig, M. Brecht & Wolf Singer (1999). Temporal Binding, Binocular Rivalry, and Consciousness. Consciousness and Cognition 8 (2):128-51.
L. M. Vaina (1990). What and Where in the Human Visual System: Two Hierarchies of Visual Modules. Synthese 83 (1):49-91.
S. Grossberg (1999). The Link Between Brain Learning, Attention, and Consciousness. Consciousness and Cognition 8 (1):1-44.
Gualtiero Piccinini & Andrea Scarantino (2011). Information Processing, Computation, and Cognition. Journal of Biological Physics 37 (1):1-38.
Eric Dietrich & Arthur B. Markman (1998). All Information Processing Entails Computation, or, If R. A. Fisher Had Been a Cognitive Scientist . . Behavioral and Brain Sciences 21 (5):637-638.
Richard Heersmink (2012). Mind and Artifact: A Multidimensional Matrix for Exploring Cognition-Artifact Relations. In J. M. Bishop & Y. J. Erden (eds.), Proceedings of the 5th AISB Symposium on Computing and Philosophy (pp. 54-61).
Zenon Pylyshyn (1999). Vision and Cognition: How Do They Connect? Behavioral and Brain Sciences 22 (3):401-414.
Glenn Gunzelmann & Don R. Lyon (2011). Representations and Processes of Human Spatial Competence. Topics in Cognitive Science 3 (4):741-759.
Paul Busch & Christopher Shilladay, Complementarity and Uncertainty in Mach-Zehnder Interferometry and Beyond.
Stephen Grossberg (1998). Filling-in the Forms. Behavioral and Brain Sciences 21 (6):758-759.
Added to index2010-05-07
Total downloads6 ( #235,000 of 1,689,225 )
Recent downloads (6 months)1 ( #183,788 of 1,689,225 )
How can I increase my downloads?