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Rajesh P. N. Rao

Researcher at University of Washington

Publications -  263
Citations -  17846

Rajesh P. N. Rao is an academic researcher from University of Washington. The author has contributed to research in topics: Imitation & Humanoid robot. The author has an hindex of 55, co-authored 249 publications receiving 15920 citations. Previous affiliations of Rajesh P. N. Rao include National Science Foundation & Salk Institute for Biological Studies.

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Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

TL;DR: Results suggest that rather than being exclusively feedforward phenomena, nonclassical surround effects in the visual cortex may also result from cortico-cortical feedback as a consequence of the visual system using an efficient hierarchical strategy for encoding natural images.
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Deictic Codes for the Embodiment of Cognition

TL;DR: Deictic computation provides a mechanism for representing the essential features that link external sensory data with internal cognitive programs and motor actions and this target article focuses on how deictic bindings make it possible to perform natural tasks.
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Spectral changes in cortical surface potentials during motor movement.

TL;DR: Electrocorticographic signals associated with motor movement are quantified across 22 subjects with subdural electrode arrays placed for identification of seizure foci and sensorimotor representation was found to be somatotopic, localized in stereotactic space to rolandic cortex, and typically followed the classic homunculus with limited extrarolandic representation.
BookDOI

Bayesian brain : probabilistic approaches to neural coding

TL;DR: Bayesian Brain brings together contributions from both experimental and theoretical neuroscientists that examine the brain mechanisms of perception, decision making, and motor control according to the concepts of Bayesian estimation.
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Cortical activity during motor execution, motor imagery, and imagery-based online feedback

TL;DR: By comparing responses to electrocortical stimulation with imagery-induced cortical surface activity, the role of primary motor areas in movement imagery is demonstrated and it is quantitatively established that the spatial distribution of local neuronal population activity during motor imagery mimics the spatial distributed of activity during actual motor movement.