Chaotic Pattern Alternations Can Reproduce Properties of Dominance Durations in Multistable Perception

DOI10.1162/NECO_a_00965zbMath1414.92025OpenAlexW2607047901WikidataQ50727566 ScholiaQ50727566MaRDI QIDQ5380719

Takashi Kanamaru

Publication date: 6 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00965

zbMATH Keywords

binocular rivalrypulse neural networkmultistable perceptionchaotic pattern alternationsperceptual ambiguity

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Psychophysics and psychophysiology; perception (91E30)

Uses Software

• TISEAN

Cites Work

• Associative dynamics in a chaotic neural network.
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• Stability and intermittency in large-scale coupled oscillator models for perceptual segmentation
• Surrogate time series.
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• Chaotic pattern transitions in pulse neural networks
• Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction
• Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package
• The Claude Bernard Lecture, 1989 - Deterministic chaos: the science and the fiction
• Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
• Synchronized Firings in the Networks of Class 1 Excitable Neurons with Excitatory and Inhibitory Connections and Their Dependences on the Forms of Interactions
• Chaos in Dynamical Systems
• Spiking Neuron Models
• Neural networks and physical systems with emergent collective computational abilities.
• NEURAL EXCITABILITY, SPIKING AND BURSTING

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