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Bayesian Mixed Multidimensional Scaling for Auditory Processing
Giovanni Rebaudo, Fernando Llanos, Bharath Chandrasekaran +1
The human brain distinguishes speech sounds by mapping acoustic signals into a latent perceptual space. This space can be estimated via multidimensional scaling (MDS), preserving t…
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
Minerva Mukhopadhyay, Jacie R. McHaney, Bharath Chandrasekaran +1
Understanding how the adult human brain learns novel categories is an important problem in neuroscience. Drift-diffusion models are popular in such contexts for their ability to mi…
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran +1
Understanding how adult humans learn non-native speech categories such as tone information has shed novel insights into the mechanisms underlying experience-dependent brain plastic…