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Devarajan Sridharan

Researcher at Indian Institute of Science

Publications -  51
Citations -  3195

Devarajan Sridharan is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 16, co-authored 43 publications receiving 2718 citations. Previous affiliations of Devarajan Sridharan include Stanford University.

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A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks

TL;DR: FMRI results indicate that the rFIC is likely to play a major role in switching between distinct brain networks across task paradigms and stimulus modalities, and have important implications for a unified view of network mechanisms underlying both exogenous and endogenous cognitive control.
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Neural Dynamics of Event Segmentation in Music: Converging Evidence for Dissociable Ventral and Dorsal Networks

TL;DR: This study investigates the neural dynamics of event segmentation in entire musical symphonies under natural listening conditions and provides direct experimental evidence for dissociable and causally linked ventral and dorsal networks duringevent segmentation of ecologically valid auditory stimuli.
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The role of the basal ganglia in exploration in a neural model based on reinforcement learning.

TL;DR: Invoking the property of chaotic systems to explore state-space, it is suggested that the complex exploratory dynamics of STN-GPe system in conjunction with dopamine-based reward signaling from the Substantia Nigra pars compacta (SNc) present the two key ingredients of a reinforcement learning system.
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Gamma oscillations are generated locally in an attention-related midbrain network

TL;DR: The finding that the midbrain contains an intrinsic gamma-generating circuit suggests that the OT could use its own oscillatory code to route signals to forebrain networks, providing a potential mechanism for enhancing the processing of visual information within the OT.
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Does the Superior Colliculus Control Perceptual Sensitivity or Choice Bias during Attention? Evidence from a Multialternative Decision Framework

TL;DR: A model of multialternative decision making that distinguishes bias from sensitivity effects in attention tasks is introduced and it is demonstrated that the experimental effects of SC manipulation are entirely consistent with the SC controlling attention by changing choice bias, thereby shedding new light on how the brain mediates attention.