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| Perceptual decision-making involves choosing between competing sensory signals or stimuli, and errors are an inevitable part of the process. There has been accumulating evidence regarding adjustments after errors such as post-error slowing (PES) and post-error improvement in accuracy (PIA). We recently reported the presence of enhanced perceptual accuracy after error trials in a delayed-response 2AFC frequency discrimination task in head-fixed mice. To investigate this phenomenon more thoroughly, we developed a no-delay version of the task that allows for greater ease of task acquisition and hence higher yield of quality data, which resulted in a substantial dataset of 23 mice spanning tens of thousands of trials. In conducting the analysis, we found that the presence of PIA could be occluded if the variation in performance across sessions was not taken into account. Thus, in order to succinctly capture this effect, we adopted a generalized linear mixed model with sessions nested in animal IDs as random effects, which gave us reliable and consistent evidence of positive impact of error on accuracy of the following trials across animals and sessions. (...) | 6.55 MB | Adobe PDF |
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Perceptual decision-making involves choosing between competing sensory signals or stimuli, and errors are an inevitable part of the process. There has been accumulating evidence regarding adjustments after errors such as post-error slowing (PES) and post-error improvement in accuracy (PIA). We recently reported the presence of enhanced perceptual accuracy after error trials in a delayed-response 2AFC frequency discrimination task in head-fixed mice. To investigate this phenomenon more thoroughly, we
developed a no-delay version of the task that allows for greater ease of task acquisition and hence higher yield of quality data, which resulted in a substantial dataset of 23 mice spanning tens of thousands of trials. In conducting the analysis, we found that the presence of PIA could be occluded if the variation in performance across sessions was not taken into account. Thus, in order to succinctly capture this effect, we adopted a generalized linear mixed model with sessions nested in animal IDs as random effects, which gave us reliable and consistent evidence of positive impact of error on accuracy of the following trials across animals and sessions. (...)
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decision-making post-error slowing (PES) post-error improvement in accuracy auditory cortex (ACx)
