Bayes or determinables? What does the bidirectional hierarchical model of brain functions tell us about the nature of perceptual representation?
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
The focus of this commentary is what Andy Clark takes to be the most groundbreaking of the philosophical import of the ‘bidirectional hierarchical model of brain functions’, namely, the claim that perceptual representations represent probabilities. This is what makes his account Bayesian and this is a philosophical or theoretical conclusion that neuroscientists and psychologists are also quick and happy to draw. My claim is that nothing in the ‘bidirectional hierarchical models of brain functions’ implies that perceptual representations are probabilistic, or that they represent or ‘encode probability density distributions’. There is a much more parsimonious way of describing the representations in the bidirectional hierarchical model of brain functions: they attribute properties to objects (or to the perceived scene) that are not fully determinate.
|Keywords||Predictive coding Bayesian neuroscience Determinable properties Perceptual representation|
|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
Bence Nanay (forthcoming). Perceptual Representation / Perceptual Content. In Mohan Matthen (ed.), Oxford Handbook for the Philosophy of Perception. Oxford University Press
M. Colombo & P. Series (2012). Bayes in the Brain--On Bayesian Modelling in Neuroscience. British Journal for the Philosophy of Science 63 (3):697-723.
Bence Nanay (2010). Attention and Perceptual Content. Analysis 70 (2):263-270.
Han Thomas Adriaenssen (2011). Peter John Olivi on Perceptual Representation. Vivarium 49 (4):324-352.
Arthur B. Markman & Eric Dietrich (1999). Whither Structured Representation? Behavioral and Brain Sciences 22 (4):626-627.
Gert de Cooman & Peter Walley (2002). A Possibilistic Hierarchical Model for Behaviour Under Uncertainty. Theory and Decision 52 (4):327-374.
Karl J. Friston (2005). Hallucinations and Perceptual Inference. Behavioral and Brain Sciences 28 (6):764-766.
Guy Dove (2009). Beyond Perceptual Symbols: A Call for Representational Pluralism. Cognition 110 (3):412-431.
William F. Brewer (1999). Perceptual Symbols: The Power and Limitations of a Theory of Dynamic Imagery and Structured Frames. Behavioral and Brain Sciences 22 (4):611-612.
Karl J. Friston & Klaas E. Stephan (2007). Free-Energy and the Brain. Synthese 159 (3):417 - 458.
Jose Bermudez (2007). The Object Properties Model of Object Perception: Between the Binding Model and the Theoretical Model. Journal of Consciousness Studies 14 (s 9-10):43-65.
Petra Stoerig & Stephan Brandt (1993). The Visual System and Levels of Perception: Properties of Neuromental Organization. Theoretical Medicine and Bioethics 14 (2).
Bence Nanay (2012). Perceptual Phenomenology. Philosophical Perspectives 26 (1):235-246.
Added to index2012-11-30
Total downloads29 ( #94,044 of 1,699,818 )
Recent downloads (6 months)6 ( #105,649 of 1,699,818 )
How can I increase my downloads?