A Similarity and Fuzzy Logic-Based Approach to Cerebral Categorisation

This work proposes a formal modelling of categorisation processes attempting at simulating the way information is categorised by neural populations in the human brain. The formalism mainly relies on a similarity-based approach to categorisation. It involves weighted rules that use inference and fusion techniques borrowed from fuzzy logic. The approach is illustrated by a simulation of the McGurck effect where the combination of contradictory auditory and visual stimuli creates an auditory perceptive illusion.

[1]  T J Sejnowski,et al.  Computational model of carbachol‐induced delta, theta, and gamma oscillations in the hippocampus , 2001, Hippocampus.

[2]  Zoubin Ghahramani,et al.  Modular decomposition in visuomotor learning , 1997, Nature.

[3]  G. Edelman,et al.  Neural dynamics in a model of the thalamocortical system. I. Layers, loops and the emergence of fast synchronous rhythms. , 1997, Cerebral cortex.

[4]  Serge Ruff,et al.  Cerebral modeling and dynamic Bayesian networks , 2004, Artif. Intell. Medicine.

[5]  Michael A. Arbib,et al.  Synthetic brain imaging: grasping, mirror neurons and imitation , 2000, Neural Networks.

[6]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[7]  Marvin Minsky,et al.  A framework for representing knowledge" in the psychology of computer vision , 1975 .

[8]  Niels Taatgen,et al.  Modeling Parallelization and Flexibility Improvements in Skill Acquisition: From Dual Tasks to Complex Dynamic Skills , 2005, Cogn. Sci..

[9]  G. Buzsáki,et al.  Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model , 1996, The Journal of Neuroscience.

[10]  Ralph Bergmann,et al.  On the Role of Abstraction in Case-Based Reasoning , 1996, EWCBR.

[11]  F. Chollet,et al.  A Single Dose of the Serotonin Neurotransmission Agonist Paroxetine Enhances Motor Output: Double-Blind, Placebo-Controlled, fMRI Study in Healthy Subjects , 2002, NeuroImage.

[12]  John R. Anderson,et al.  Why do children learn to say “Broke”? A model of learning the past tense without feedback , 2002, Cognition.

[13]  G. Edelman,et al.  Neural dynamics in a model of the thalamocortical system. II. The role of neural synchrony tested through perturbations of spike timing. , 1997, Cerebral cortex.

[14]  V. Sloutsky.  The role of similarity in the development of categorization , 2003, Trends in Cognitive Sciences.

[15]  S. Bressler.  Large-scale cortical networks and cognition , 1995, Brain Research Reviews.

[16]  H. McGurk,et al.  Hearing lips and seeing voices , 1976, Nature.

[17]  G. E. Alexander,et al.  Do cortical and basal ganglionic motor areas use “motor programs” to control movement? , 1992 .

[18]  Didier Dubois,et al.  Representing Default Rules in Possibilistic Logic , 1992, KR.

[19]  Bernadette Bouchon-Meunier,et al.  Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning , 1999 .

[20]  S. Grossberg,et al.  Thalamocortical dynamics of the McCollough effect: boundary-surface alignment through perceptual learning , 2002, Vision Research.

[21]  R S Frackowiak,et al.  A PET study of cognitive strategies in normal subjects during language tasks. Influence of phonetic ambiguity and sequence processing on phoneme monitoring. , 1994, Brain : a journal of neurology.

[22]  Christian Balkenius,et al.  Nonmonotonic Inferences in Neural Networks , 1991, KR.

[23]  Jean-François Démonet,et al.  Information processing in large-scale cerebral networks: the causal connectivity approach , 2000, Biological Cybernetics.

[24]  Christian Balkenius,et al.  NEURAL MECHANISMS FOR SELF-ORGANIZATION OF EMERGENT SCHEMATA, DYNAMICAL SCHEMA PROCESSING, AND SEMANTIC CONSTRAINT SATISFACTION , 1993 .