David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 24 (5):793-810 (2001)
Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and Freeman (1987) presented evidence in support of the conclusion that animals cannot memorize odor without chaotic activity of neuron populations. Following their work, we study the role of chaotic dynamics in biological information processing, perception, and memory. We propose a new coding scheme of information in chaos-driven contracting systems we refer to as Cantor coding. Since these systems are found in the hippocampal formation and also in the olfactory system, the proposed coding scheme should be of biological significance. Based on these intensive studies, a hypothesis regarding the formation of episodic memory is given. Key Words: Cantor coding; chaotic itinerancy; dynamic aspects of the brain; dynamic associative memory; episodic memory; high-dimensional dynamical systems; SCND attractors.
|Keywords||Cantor coding chaotic itinerancy dynamic aspects of the brain dynamic associative memory episodic memory high-dimensional dynamical systems SCND attractors|
|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
Anil K. Seth, Bernard J. Baars & D. B. Edelman (2005). Criteria for Consciousness in Humans and Other Mammals. Consciousness and Cognition 14 (1):119-39.
Murray Shanahan (2006). A Cognitive Architecture That Combines Internal Simulation with a Global Workspace. Consciousness and Cognition 15 (2):433-449.
Julian Kiverstein (2012). The Meaning of Embodiment. Topics in Cognitive Science 4 (4):740-758.
Nick Zangwill (2006). Daydreams and Anarchy: A Defense of Anomalous Mental Causation. Philosophy and Phenomenological Research 73 (2):253–289.
Lawrence M. Ward (2003). Synchronous Neural Oscillations and Cognitive Processes. Trends in Cognitive Sciences 7 (12):553-559.
Similar books and articles
Donald L. Rowe (2001). Dynamic Neural Activity as Chaotic Itinerancy or Heteroclinic Cycles? Behavioral and Brain Sciences 24 (5):827-828.
Leslie M. Kay (2001). Chaotic Itinerancy: Insufficient Perceptual Evidence. Behavioral and Brain Sciences 24 (5):819-820.
Jonathan K. Foster (2001). Cantor Coding and Chaotic Itinerancy: Relevance for Episodic Memory, Amnesia, and the Hippocampus? Behavioral and Brain Sciences 24 (5):815-816.
Ichiro Tsuda (2004). Chaotic Itinerancy is a Key to Mental Diversity. Behavioral and Brain Sciences 27 (4):586-587.
Roman Borisyuk (2001). The Puzzle of Chaotic Neurodynamics. Behavioral and Brain Sciences 24 (5):812-813.
François Chapeau-Blondeau (1995). Information Processing in Neural Networks by Means of Controlled Dynamic Regimes. Acta Biotheoretica 43 (1-2):155-167.
Walter J. Freeman (2001). Noise-Driven Attractor Landscapes for Perception by Mesoscopic Brain Dynamics. Behavioral and Brain Sciences 24 (5):816-817.
Ichiro Tsuda (2001). The Plausibility of a Chaotic Brain Theory. Behavioral and Brain Sciences 24 (5):829-840.
Added to index2009-01-28
Total downloads18 ( #173,493 of 1,780,590 )
Recent downloads (6 months)2 ( #204,197 of 1,780,590 )
How can I increase my downloads?