Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5737077 | Journal of Neuroscience Methods | 2017 | 12 Pages |
Abstract
Our results demonstrate the feasibility of HMM in assessing the robustness of neural pitch. Machine-learning approaches can complement extant analytical methods that capture auditory function and could reduce the number of trials needed to capture biological phenomena.
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Authors
Fernando Llanos, Zilong Xie, Bharath Chandrasekaran,