David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 5 (1):45-68 (1995)
It is proposed to conceive of representation as an emergent phenomenon that is supervenient on patterns of activity of coarsely tuned and highly redundant feature detectors. The computational underpinnings of the outlined concept of representation are (1) the properties of collections of overlapping graded receptive fields, as in the biological perceptual systems that exhibit hyperacuity-level performance, and (2) the sufficiency of a set of proximal distances between stimulus representations for the recovery of the corresponding distal contrasts between stimuli, as in multidimensional scaling. The present preliminary study appears to indicate that this concept of representation is computationally viable, and is compatible with psychological and neurobiological data
|Keywords||Computation Physics Representation Science Vision|
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Christopher Gauker (2012). Perception Without Propositions. Philosophical Perspectives 26 (1):19-50.
Ehud Ahissar (1995). Are Single-Cell Data Sufficient for Testing Neural Network Models? Behavioral and Brain Sciences 18 (4):626.
Joyca P. W. Lacroix, Jaap M. J. Murre, Eric O. Postma & H. Jaap Herik (2006). Modeling Recognition Memory Using the Similarity Structure of Natural Input. Cognitive Science 30 (1):121-145.
Joaquin M. Fuster (1995). Not the Module Does Memory Make – but the Network. Behavioral and Brain Sciences 18 (4):631.
Maartje E. J. Raijmakers & Peter C. M. Molenaar (1995). How to Decide Whether a Neural Representation is a Cognitive Concept? Behavioral and Brain Sciences 18 (4):641.
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