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Psychophysical reverse correlation reflects both sensory and decision-making processes

Gouki Okazawa, Long Sha, Braden A. Purcell, Roozbeh Kiani
doi: https://doi.org/10.1101/273680
Gouki Okazawa
1Center for Neural Science, New York University, New York, NY 10003
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Long Sha
1Center for Neural Science, New York University, New York, NY 10003
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Braden A. Purcell
1Center for Neural Science, New York University, New York, NY 10003
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Roozbeh Kiani
1Center for Neural Science, New York University, New York, NY 10003
2Department of Psychology, New York University, New York, NY 10003
3Neuroscience Institute, NYU Langone Medical Center, New York, NY 10016
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Abstract

Goal directed behavior depends on both sensory mechanisms that gather information from the outside world and decision-making mechanisms that select appropriate behavior based on that sensory information. Psychophysical reverse correlation is commonly used to quantify how fluctuations of sensory stimuli influence behavior and is generally believed to uncover the spatiotemporal weighting functions of sensory processes. Here we show that reverse correlations also reflect decision-making processes and can deviate significantly from the true sensory filters. Specifically, changes of decision bound and mechanisms of evidence integration systematically alter psychophysical reverse correlations. Similarly, trial-to-trial variability of sensory and motor delays and decision times causes systematic distortions in psychophysical kernels that should not be attributed to sensory mechanisms. We show that ignoring details of the decision-making process results in misinterpretation of reverse correlations, but proper use of these details turns reverse correlation into a powerful method for studying both sensory and decision-making mechanisms.

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Posted May 18, 2018.
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Psychophysical reverse correlation reflects both sensory and decision-making processes
Gouki Okazawa, Long Sha, Braden A. Purcell, Roozbeh Kiani
bioRxiv 273680; doi: https://doi.org/10.1101/273680
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Psychophysical reverse correlation reflects both sensory and decision-making processes
Gouki Okazawa, Long Sha, Braden A. Purcell, Roozbeh Kiani
bioRxiv 273680; doi: https://doi.org/10.1101/273680

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