Rakshith Lokesh

Rakshith Lokesh

Michigan State University

H-index: 6

North America-United States

About Rakshith Lokesh

Rakshith Lokesh, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of multisensory interactions, optimal control models, perceptual decision-making, haptic assistance, motor learning.

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

Punishment Leads to Greater Sensorimotor Learning But Less Movement Variability Compared to Reward

Reinforcement-based processes actively regulate motor exploration along redundant solution manifolds

The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability

The Roles and Interplay of Reinforcement-Based and Error-Based Processes on Exploratory Behaviour in Parkinson’s Disease and Neurologically Intact Populations

Humans make an excessive number of indecisions under time constraints

Reaching reflects ongoing deliberation prior to a decision

Visual accuracy dominates over haptic speed for state estimation of a partner during collaborative sensorimotor interactions

Immersive Virtual Reality and Robotics for Upper Extremity Rehabilitation

Rakshith Lokesh Information

University

Position

Graduate Researcher

Citations(all)

61

Citations(since 2020)

58

Cited By

11

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Rakshith Lokesh Skills & Research Interests

multisensory interactions

optimal control models

perceptual decision-making

haptic assistance

motor learning

Top articles of Rakshith Lokesh

Title

Journal

Author(s)

Publication Date

Punishment Leads to Greater Sensorimotor Learning But Less Movement Variability Compared to Reward

Neuroscience

Adam M Roth

Rakshith Lokesh

Jiaqiao Tang

John H Buggeln

Carly Smith

...

2024/3/5

Reinforcement-based processes actively regulate motor exploration along redundant solution manifolds

Proceedings of the Royal Society B

Adam M Roth

Jan A Calalo

Rakshith Lokesh

Seth R Sullivan

Stephen Grill

...

2023/10/18

The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability

Journal of Neurophysiology

Jan A Calalo

Adam M Roth

Rakshith Lokesh

Seth R Sullivan

Jeremy D Wong

...

2023/4/1

The Roles and Interplay of Reinforcement-Based and Error-Based Processes on Exploratory Behaviour in Parkinson’s Disease and Neurologically Intact Populations

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Adam Roth

John Buggeln

Jan Calalo

Rakshith Lokesh

Seth Sullivan

...

2023/10/12

Humans make an excessive number of indecisions under time constraints

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Seth Sullivan

Rakshith Lokesh

Christopher Peters

Jan Calalo

Adam Roth

...

2023/10/12

Reaching reflects ongoing deliberation prior to a decision

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Jan Calalo

Truc Ngo

Seth Sullivan

Adam Roth

Rakshith Lokesh

...

2023/10/12

Visual accuracy dominates over haptic speed for state estimation of a partner during collaborative sensorimotor interactions

Journal of Neurophysiology

Rakshith Lokesh

Seth R Sullivan

Laura St. Germain

Adam M Roth

Jan A Calalo

...

2023/7/1

Immersive Virtual Reality and Robotics for Upper Extremity Rehabilitation

arXiv preprint arXiv:2304.11110

Vuthea Chheang

Rakshith Lokesh

Amit Chaudhari

Qile Wang

Lauren Baron

...

2023/4/21

Humans utilize sensory evidence of others’ intended action to make online decisions

Scientific Reports

Rakshith Lokesh

Seth Sullivan

Jan A Calalo

Adam Roth

Brenden Swanik

...

2022/5/25

Rapid decision-making during competitive human-human sensorimotor interactions

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Rakshith Lokesh

Jan Calalo

Adam Roth

Michael J Carter

Joshua GA Cashaback

2021/11/15

A tale of too many tasks: task fragmentation in motor learning and a call for model task paradigms

Rajiv Ranganathan

Aimee D Tomlinson

Rakshith Lokesh

Tzu-Hsiang Lin

Priya Patel

2021/1

Motor variability prior to learning does not facilitate the ability to adopt new movement solutions

Neuroscience

Rajiv Ranganathan

Marco Lin

Samuel Carey

Rakshith Lokesh

Mei-Hua Lee

...

2021/12/15

Visually amplified movement variability leads to greater muscular co-contraction but not visuomotor feedback gains

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Jan A Calalo

Adam Roth

Rakshith Lokesh

Jeremy Wong

Jennifer Semrau

...

2021/11/15

The influence of reward feedback and error feedback on sensorimotor exploration

Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)

Adam Roth

Rakshith Lokesh

Jan Calalo

Michael Carter

Joshua Cashaback

2021/11/15

Haptic assistance that restricts the use of redundant solutions is detrimental to motor learning

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Rakshith Lokesh

Rajiv Ranganathan

2020/4/24

A tale of too many tasks: Fragmentation of tasks in motor learning and a call for model task paradigms

Experimental Brain Research

Rajiv Ranganathan

Aimee Tomlinson

Rakshith Lokesh

Tzu-Hsiang Lin

Priya Patel

2020

Haptic assistance strategies for enhancing the learning of kinematically redundant motor tasks

Rakshith Lokesh

2020

See List of Professors in Rakshith Lokesh University(Michigan State University)