![Fig. 1. Topology of the KIII network. Adapted from [Chang & Freeman, 1998a].](/figures/fig-1-topology-of-the-kiii-network-adapted-from-chang-317bh99r.webp)
Q1. What have the authors contributed in "A study on a bionic pattern classifier based on olfactory neural system" ?
In this paper, the authors proposed a new application example of the KIII network for recognition of handwriting numerals.
A study on a bionic pattern classifier based on olfactory neural system
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A simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysiological experiments is presented.Abstract:
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.read more
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Proceedings ArticleDOI
Application of a Novel Neural Network to Face Recognition Based on DWT
TL;DR: Experimental results show that the chaotic model performs image pattern classification efficiently and the idea of image partition and discrete wavelet transform (DWT) applies to face recognition.
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Progress in bionic information processing techniques for an electronic nose based on olfactory models
TL;DR: The integration of various phenomena and their mechanisms for biological olfaction into an electronic nose context for information processing will not only make them more bionic, but also perform better than conventional methods.
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Application of Bionic Neural Network on Face Recognition Based on SVD and DCT
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Mandarin Digital Speech Recognition Based on a Chaotic Neural Network and Fuzzy C-means Clustering
Guang Li,Jin Zhang,W.J. Freeman +2 more
TL;DR: Experimental results show that the Kill model can perform digital speech recognition efficiently and the fuzzy c-means clustering has better performance than the hard k-mean clustering.
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Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior
TL;DR: This work uses ECoGs collected from high-density arrays fixed on the surfaces of primary sensory and limbic areas in rabbits and cats trained to discriminate conditioned stimuli in the various modalities to explore the feasibility of interpreting neurophysiological data in terms of many-body physics.
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Chaotic resonance — methods and applications for robust classification of noisy and variable patterns
Robert Kozma,Walter J. Freeman +1 more
TL;DR: A theory of stochastic chaos is developed, in which aperiodic outputs with 1/f2 spectra are formed by the interaction of globally connected nodes that are individually governed by point attractors under perturbation by continuous white noise.
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