Rajesh P. N. Rao

Rajesh P. N. Rao

University of Washington

H-index: 66

North America-United States

About Rajesh P. N. Rao

Rajesh P. N. Rao, With an exceptional h-index of 66 and a recent h-index of 40 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Computational Neuroscience, Brain-Computer Interfacing, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neurocomputational mechanisms involved in adaptation to fluctuating intentions of others

Expressive probabilistic sampling in recurrent neural networks

Designing Touch: Intracortical Neurohaptic Feedback in Virtual Reality

Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex

Dynamic predictive coding explains both prediction and postdiction in visual motion perception

Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning

Neural co-processors for restoring brain function: results from a cortical model of grasping

Emergent behaviour and neural dynamics in artificial agents tracking odour plumes

Rajesh P. N. Rao Information

University

Position

Computer Science and Engineering

Citations(all)

24531

Citations(since 2020)

8743

Cited By

19265

hIndex(all)

66

hIndex(since 2020)

40

i10Index(all)

180

i10Index(since 2020)

112

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Rajesh P. N. Rao Skills & Research Interests

Computational Neuroscience

Brain-Computer Interfacing

Artificial Intelligence

Top articles of Rajesh P. N. Rao

Title

Journal

Author(s)

Publication Date

Neurocomputational mechanisms involved in adaptation to fluctuating intentions of others

Nature Communications

Rémi Philippe

Rémi Janet

Koosha Khalvati

Rajesh PN Rao

Daeyeol Lee

...

2024/4/12

Expressive probabilistic sampling in recurrent neural networks

Advances in Neural Information Processing Systems

Shirui Chen

Linxing Jiang

Rajesh PN Rao

Eric Shea-Brown

2024/2/13

Designing Touch: Intracortical Neurohaptic Feedback in Virtual Reality

Courtnie J Paschall

Jason S Hauptman

Rajesh PN Rao

Jeffrey G Ojemann

Jeffrey Herron

2024/1/1

Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex

PLOS Computational Biology

Linxing Preston Jiang

Rajesh PN Rao

2024/2/8

Dynamic predictive coding explains both prediction and postdiction in visual motion perception

Proceedings of the Annual Meeting of the Cognitive Science Society

Linxing Preston Jiang

Rajesh PN Rao

2023

Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning

arXiv preprint arXiv:2312.17479

Nigini Oliveira

Jasmine Li

Koosha Khalvati

Rodolfo Cortes Barragan

Katharina Reinecke

...

2023/12/29

Neural co-processors for restoring brain function: results from a cortical model of grasping

Journal of Neural Engineering

Matthew J Bryan

Linxing Preston Jiang

Rajesh PN Rao

2023/5/9

Emergent behaviour and neural dynamics in artificial agents tracking odour plumes

Nature machine intelligence

Satpreet H Singh

Floris van Breugel

Rajesh PN Rao

Bingni W Brunton

2023/1

Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning

Neural Computation

Rajesh PN Rao

Dimitrios C Gklezakos

Vishwas Sathish

2023/12/12

Brain Co-processors: Ethical and Social Implications

Rajesh PN Rao

Andreas Schönau

2023/4/27

Systems and methods for brain stimulation for recovery from brain injury, such as stroke

2023/4/4

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Frontiers in Neuroscience

Richy Yun

Irene Rembado

Steve I Perlmutter

Rajesh PN Rao

Eberhard E Fetz

2023/11/23

Responses of cortical neurons to intracortical microstimulation in awake primates

eneuro

Richy Yun

Jonathan H Mishler

Steve I Perlmutter

Rajesh PN Rao

Eberhard E Fetz

2023/4/1

Recursive neural programs: A differentiable framework for learning compositional part-whole hierarchies and image grammars

PNAS nexus

Ares Fisher

Rajesh PN Rao

2023/11

Brain co-processors: using AI to restore and augment brain function

Rajesh PN Rao

2023/2/3

Brain-inspired computational intelligence via predictive coding

arXiv preprint arXiv:2308.07870

Tommaso Salvatori

Ankur Mali

Christopher L Buckley

Thomas Lukasiewicz

Rajesh PN Rao

...

2023/8/15

Active predictive coding: A unified neural framework for learning hierarchical world models for perception and planning

arXiv preprint arXiv:2210.13461

Rajesh PN Rao

Dimitrios C Gklezakos

Vishwas Sathish

2022/10/23

Hyper-universal policy approximation: Learning to generate actions from a single image using hypernets

arXiv preprint arXiv:2207.03593

Dimitrios C Gklezakos

Rishi Jha

Rajesh PN Rao

2022/7/7

Touching the void: intracranial stimulation for NeuroHaptic feedback in virtual reality

Courtnie Jean Paschall

Jason S Hauptman

Rajesh PN Rao

Jeffrey G Ojemann

Jeffrey Herron

2022/10/9

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies

arXiv preprint arXiv:2206.08462

Ares Fisher

Rajesh PN Rao

2022/6/16

See List of Professors in Rajesh P. N. Rao University(University of Washington)