WebMar 21, 2024 · The optimal features that we arrive at are mostly intuitive – for example, the top MIFs for classifying twitters detect the frequency contour of individual twitter phrases and the repetitive... WebWe then explored the bases for this sub-optimal behavior and found that it can be consistent with an optimal strategy if we assume that subjects have trial-by-trial noise in components of the judgment process. This work extends previous similar findings into the field of auditory categorization and provides a means to reinterpret previous results.
Optimal features for auditory categorization
WebJan 11, 2009 · Categorical auditory responsiveness was observed in all HVC X neurons for which we also recorded singing-related activity ( n = 5 cells, 2 birds). Comparison of auditory and singing-related... WebFeb 13, 2024 · The analyses focused on accuracy of categorization during training and as assessed in the generalization test. Additionally, we fit a series of decision-bound models to categorization responses across training in order to examine response strategies across conditions (for more detailed information about model applications see: Ashby & Maddox, … try catch any exception
Optimal features for auditory categorization - Researcher An App F
WebHere, we demonstrate that detecting mid-level features in calls achieves production-invariant classification. Starting from randomly chosen marmoset call features, we use a greedy … WebHumans and vocal animals use vocalizations to communicate with members of their species. A necessary function of auditory perception is to generalize across the high variability inherent in vocalization production and classify them into behaviorally distinct categories (`words' or `call types'). Here, we demonstrate that detecting mid-level features … WebThe published paper, “ Optimal features for auditory categorization ” (DOI: 10.1038/s41467-019-09115-y), focuses on vocalizations of the common marmoset. Xiaoqin Wang, … philips universal remote srp2014h 27 manual