Learning by operant conditioning as a nonlinear self-organized process.

M A Pascual; M A Rodríguez

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PubMed · 16762176

Learning by operant conditioning as a nonlinear self-organized process.

M A Pascual·M A Rodríguez

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Abstract

Responses of individuals have been rewarded in fixed ratio operant conditioning experiments throughout the last 5 years. The long numerical series of performance rates so obtained have been analyzed by using Fourier spectra, obtaining 1/f noise, and wavelet techniques for the analysis of local variability. These techniques reveal that the evolution of data in each individual is nonlinear but it fluctuates showing self-organized patterns in successive time scales, which leads to a long term logarithmic growth. Based on these observations a model has been developed. It can simulate with a great accuracy the rate of response exhibited by our subjects in all time scales.

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Conditioning, Operant Humans Learning Noise Nonlinear Dynamics Reinforcement, Psychology Stochastic Processes Journal Article Research Support, Non-U.S. Gov't

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M A Pascual, M A Rodríguez. 2006. Learning by operant conditioning as a nonlinear self-organized process.. https://pubmed.ncbi.nlm.nih.gov/16762176/

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