Study of a bionic pattern classifier based on olfactory neural system

This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks by use of chaotic attractors for memory locations that are accessed by, chaotic trajectories. It was designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysiological experiments, and has proved its utility as a model for biological intelligence in pattern classification. An application to recognition of handwritten numerals is presented here, in which the classification performance of the KIII network under different noise levels was investigated.

[1]  Linda G. Shapiro,et al.  Computer and Robot Vision , 1991 .

[2]  Walter J. Freeman,et al.  A proposed name for aperiodic brain activity: stochastic chaos , 2000, Neural Networks.

[3]  W. Freeman.  Mesoscopic neurodynamics: From neuron to brain , 2000, Journal of Physiology-Paris.

[4]  Walter J. Freeman,et al.  Local Homeostasis Stabilizes a Model of the Olfactory System Globally in Respect to Perturbations by Input During Pattern Classification , 1998 .

[5]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.

[6]  W. J. Freeman,et al.  Pattern recognition in olfactory systems: modeling and simulation , 1989, International 1989 Joint Conference on Neural Networks.

[7]  Walter J. Freeman,et al.  Optimization of olfactory model in software to give 1/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors , 1998, Neural Networks.

[8]  John G. Harris,et al.  Design and implementation of a biologically realistic olfactory cortex in analog VLSI , 2001, Proc. IEEE.

[9]  Walter J. Freeman,et al.  Neurodynamics: An Exploration in Mesoscopic Brain Dynamics , 2000, Perspectives in Neural Computing.

[10]  Walter J. Freeman,et al.  Parameter optimization in models of the olfactory neural system , 1996, Neural Networks.

[11]  W J Freeman,et al.  Biocomplexity: adaptive behavior in complex stochastic dynamical systems. , 2001, Bio Systems.

[12]  Robert Kozma,et al.  Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns , 2001, Int. J. Bifurc. Chaos.

[13]  Walter J. Freeman,et al.  Biologically Modeled Noise Stabilizing Neurodynamics for Pattern Recognition , 1998 .

[14]  Walter J. Freeman,et al.  NOISE-INDUCED FIRST-ORDER PHASE TRANSITIONS IN CHAOTIC BRAIN ACTIVITY , 1999 .

[15]  W. Freeman,et al.  Taming chaos: stabilization of aperiodic attractors by noise [olfactory system model] , 1997 .