Joshua G. A. Cashaback

发表

Evaluating the Ergonomic Benefit of a Wrist Brace on Wrist Posture, Muscle Activity, Rotational Stiffness, and Peak Shovel-Ground Impact Force During a Simulated Tree-Planting Task

Steven L. Fischer, Peter J. Sheahan, Joshua G. A. Cashaback, 2017, Hum. Factors.

An Estimation of Supporting Hand Forces for Common Automotive Assembly Tasks

Allison Stephens, Jim R. Potvin, Joel A. Cort, 2008 .

Dissociating error-based and reinforcement-based loss functions during sensorimotor learning

Paul L. Gribble, Joshua G. A. Cashaback, Heather R. McGregor, 2017, PLoS Comput. Biol..

Neural Signatures of Reward and Sensory Prediction Error in Motor Learning

Paul L. Gribble, Joshua G. A. Cashaback, Dimitrios J. Palidis, 2018, bioRxiv.

The human motor system alters its reaching movement plan for task-irrelevant, positional forces.

Joshua G. A. Cashaback, P. Gribble, H. McGregor, 2015, Journal of neurophysiology.

Functional Plasticity in Somatosensory Cortex Supports Motor Learning by Observing

Paul L. Gribble, Joshua G. A. Cashaback, Heather R. McGregor, 2016, Current Biology.

Musculotendon translational stiffness and muscle activity are modified by shear forces.

Jim R. Potvin, Joshua G. A. Cashaback, Michael Pierrynowski, 2014, Clinical biomechanics.

Somatosensory Perceptual Training Enhances Motor Learning by Observing

Joshua G. A. Cashaback, P. Gribble, H. McGregor, 2018, bioRxiv.

1 2 3 Somatosensory Perceptual Training 4 Enhances Motor Learning by Observing 5 6 7

Joshua G. A. Cashaback, P. Gribble, H. McGregor, 2018 .

Control of Movement Somatosensory perceptual training enhances motor learning by observing X

Joshua G. A. Cashaback, H. McGregor, X. P. L. Gribble, 2018 .

Somatosensory Perceptual Training Enhances Motor Learning by Observing

Joshua G. A. Cashaback, P. Gribble, H. McGregor, 2018, bioRxiv.

Resistance exercise volume affects myofibrillar protein synthesis and anabolic signalling molecule phosphorylation in young men

Joshua G. A. Cashaback, Stuart M Phillips, J. Potvin, 2010, The Journal of physiology.

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

Michael J. Carter, Joshua G. A. Cashaback, Rakshith Lokesh, 2022, Scientific Reports.

Exercising choice over feedback schedules during practice is not advantageous for motor learning

Michael J. Carter, Joshua G. A. Cashaback, Laura St Germain, 2022, Psychonomic Bulletin & Review.

Exploring Optimal Objective Function Weightings to Predict Lifting Postures Under Unfatigued and Fatigued States

Joshua G. A. Cashaback, S. Fischer, J. Davidson, 2022, Hum. Factors.

Neural signatures of reward and sensory error feedback processing in motor learning.

Paul L Gribble, Joshua G. A. Cashaback, Joshua G A Cashaback, 2019, Journal of neurophysiology.

Both fast and slow learning processes contribute to savings following sensorimotor adaptation.

Paul L Gribble, Joshua G. A. Cashaback, Joshua G A Cashaback, 2019, Journal of neurophysiology.

The gradient of the reinforcement landscape influences sensorimotor learning

Paul L Gribble, Joshua G. A. Cashaback, Joshua G A Cashaback, 2019, PLoS Comput. Biol..

Muscle time under tension during resistance exercise stimulates differential muscle protein sub‐fractional synthetic responses in men

Joshua G. A. Cashaback, Joshua G A Cashaback, Stuart M Phillips, 2012, The Journal of physiology.

Rapid Feedback Responses Parallel the Urgency of Voluntary Reaching Movements

Joshua G. A. Cashaback, T. Cluff, S. Poscente, 2021, Neuroscience.

Does the sensorimotor system minimize prediction error or select the most likely prediction during object lifting?

Paul L Gribble, Joshua G. A. Cashaback, Gavin Buckingham, 2017, Journal of neurophysiology.

Reinforcement-Based Processes Actively Regulate Motor Exploration Along Redundant Solution Manifolds

Michael J. Carter, Joshua G. A. Cashaback, J. Jeka, 2023, bioRxiv.

Increase in joint stability at the expense of energy efficiency correlates with force variability during a fatiguing task.

Tyler Cluff, Joshua G. A. Cashaback, Joshua G A Cashaback, 2015, Journal of biomechanics.

Muscle fatigue and contraction intensity modulates the complexity of surface electromyography.

Jim R Potvin, Tyler Cluff, Joshua G. A. Cashaback, 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Immersive Virtual Reality and Robotics for Upper Extremity Rehabilitation

Joshua G. A. Cashaback, E. Thostenson, Roghayeh Barmaki, 2023, ArXiv.

Altering the Shape of Punishment Distributions Affects Decision Making in a Modified Iowa Gambling Task

Joshua G. A. Cashaback, R. Beninger, Corrine J. Seeley, 2014 .

Virtual Therapy Exergame for Upper Extremity Rehabilitation Using Smart Wearable Sensors

Joshua G. A. Cashaback, E. Thostenson, Roghayeh Barmaki, 2023, 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

The nervous system tunes sensorimotor gains when reaching in variable mechanical environments

Joshua G. A. Cashaback, T. Cluff, P. Maurus, 2023, iScience.

Immersive Virtual Reality and Robotics for Upper Extremity Rehabilitation

Joshua G. A. Cashaback, E. Thostenson, Lauren Baron, 2023, ArXiv.

Validating the measurement of upper limb sensorimotor behavior utilizing a tablet in neurologically intact controls and individuals with chronic stroke

Jennifer A. Semrau, Joshua G. A. Cashaback, Devin Sean Austin, 2023, Journal of NeuroEngineering and Rehabilitation.

Neural signatures of reward and sensory error feedback processing in motor learning.

Joshua G. A. Cashaback, Dimitrios J. Palidis, P. Gribble, 2019, Journal of neurophysiology.

Functional Plasticity in Somatosensory Cortex Supports Motor Learning by Observing

Joshua G. A. Cashaback, P. Gribble, H. McGregor, 2018, Current Biology.

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework

Joshua G. A. Cashaback, Jessica L Allen, Amber Hsiao-Yang Chou, 2024, Journal of neuroengineering and rehabilitation.

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

Joshua G. A. Cashaback, Rakshith Lokesh, Seth R. Sullivan, 2024, Neuroscience.

A response surface methodology to determine the optimal objective function weightings within a multi-objective optimization digital human model used to predict postures

Joshua G. A. Cashaback, S. Fischer, J. Davidson, 2022, Computer methods in biomechanics and biomedical engineering.