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Updated: Aug 7, 2026

Operant Learning of Drosophila at the Torque Meter
Published on: June 16, 2008
Learning by operant conditioning as a nonlinear self-organized process
1CAMP, Burgos, Spain. ferparfe@jcyl.es
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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