Representational Similarity Analysis for Tracking Neural Correlates of Haptic Learning on a Multimodal Device-Reference-Cited by-同舟云学术

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Representational Similarity Analysis for Tracking Neural Correlates of Haptic Learning on a Multimodal Device

Published:2023-07-01 Issue:3 Volume:16 Page:424-435
ISSN:1939-1412
Container-title:IEEE Transactions on Haptics
language:
Short-container-title:IEEE Trans. Haptics

Author:

Macklin Alix S.¹^ORCID,Yau Jeffrey M.²^ORCID,Fischer-Baum Simon³^ORCID,O'Malley Marcia K.¹^ORCID

Affiliation:

1. Mechatronics and Haptic Interfaces Lab, Department of Mechanical Engineering and the Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA

2. Baylor College of Medicine, Houston, TX, USA

3. Department of Psychological Sciences, Rice University, Houston, TX, USA

Funder

National Science Foundation

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction

Link

https://ieeexplore.ieee.org/ielam/4543165/10255542/10214167-aam.pdf

Reference66 articles.

1. Haptic feedback based on movement smoothness improves performance in a perceptual-motor task

2. Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports

3. Effects of Vibrotactile Feedback on Human Learning of Arm Motions

4. Improving Perception Accuracy with Multi-sensory Haptic Cue Delivery

5. Evaluation of Tactile Feedback Methods for Wrist Rotation Guidance

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