R
Raju S. Bapi
Researcher at International Institute of Information Technology, Hyderabad
Publications - 123
Citations - 1555
Raju S. Bapi is an academic researcher from International Institute of Information Technology, Hyderabad. The author has contributed to research in topics: Computer science & Sequence learning. The author has an hindex of 19, co-authored 108 publications receiving 1342 citations. Previous affiliations of Raju S. Bapi include University of Hyderabad & International Institute of Information Technology.
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What do the basal ganglia do? A modeling perspective
TL;DR: The existing modeling literature on BG is reviewed and an integrative picture of the function of these nuclei is hypothesized and has the potential to radically alter treatment and management of BG-related neurological disorders and neuropsychiatric disorders also.
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Evidence for effector independent and dependent representations and their differential time course of acquisition during motor sequence learning.
TL;DR: The results support the hypothesis that the motor condition benefits more than the visual because it uses identical effector movements to the normal condition and argue for the existence of effector dependent sequence representation, in motor coordinates, which is acquired relatively slowly.
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Rough clustering of sequential data
TL;DR: The rough clusters resulting from the proposed algorithm provide interpretations of different navigation orientations of users present in the sessions without having to fit each object into only one group.
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fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences
TL;DR: A putative role for engagement of different cortical and subcortical networks at various stages of learning in supporting distinct sequence representations is suggested.
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Atypical Flexibility in Dynamic Functional Connectivity Quantifies the Severity in Autism Spectrum Disorder.
TL;DR: A strong positive correlation of symptom severity with flexibility of rigid areas and with disjointness of sensorimotor areas is found in ASD, demonstrating that the dynamic framework best characterizes the variability in ASD.