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Reliable, Fast and Stable Contrast Response Function Estimation.
Cortes, Nelson; Demers, Marc; Ady, Visou; Ikan, Lamyae; Casanova, Christian.
Afiliación
  • Cortes N; Visual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
  • Demers M; Visual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
  • Ady V; Visual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
  • Ikan L; Visual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
  • Casanova C; Visual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Vision (Basel) ; 6(4)2022 Oct 17.
Article en En | MEDLINE | ID: mdl-36278674
ABSTRACT
A study was conducted to determine stable cortical contrast response functions (CRFs) accurately and repeatedly in the shortest possible experimentation time. The method consisted of searching for experimental temporal aspects (number and duration of trials and number and distribution of contrasts used) with a model based on inhomogeneous Poisson spike trains to varying contrast levels. The set of values providing both short experimental duration and maximizing fit of the CRFs were saved, and then tested on cats' visual cortical neurons. Our analysis revealed that 4 sets of parameters with less or equal to 6 experimental visual contrasts satisfied our premise of obtaining good CRFs' performance in a short recording period, in which the number of trials seems to be the experimental condition that stabilizes the fit.
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