“…tive optimal experimental design in statistics, seek to select stimuli based on the stimuli and responses observed so far during an experiment in order to characterize the neuron as quickly and efficiently as possible (Lindley, 1956;Bernardo, 1979;MacKay, 1992;Chaloner & Verdinelli, 1995;Cohn et al, 1996;Paninski, 2005). Adaptive stimulus selection is particularly useful in settings where data are limited or expensive to collect, and can substantially reduce in the number of trials needed for fitting an accurate model of neural responses (Paninski et al, 2007;Benda et al, 2007;Lewi et al, 2009;DiMattina & Zhang, 2011, 2013Bölinger & Gollisch, 2012;Park & Pillow, 2012;Park et al, 2014;Pillow & Park, 2016).…”