Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sensory Modalities

Sensory Modalities

Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High Triglyceride-Glucose Index is Associated with Poor Cardiovascular Outcomes in Nondiabetic Patients with ACS with LDL-C below 1.8 mmol/L.

Journal of atherosclerosis and thrombosis·2021

Same author

Results of Arthroscopic Treatment of Acute Posterior Cruciate Ligament Avulsion Fractures With Suspensory Fixation.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2021

Same author

Is abnormal function with troponin T elevation definitely myocardial infarction?

European heart journal·2021

Same author

Preparation, Biosafety, and Cytotoxicity Studies of a Newly Tumor-Microenvironment-Responsive Biodegradable Mesoporous Silica Nanosystem Based on Multimodal and Synergistic Treatment.

Oxidative medicine and cellular longevity·2021

Same author

Contributing Factors Affecting the Severity of Metro Escalator Injuries in the Guangzhou Metro, China.

International journal of environmental research and public health·2021

Same author

3D Deep Learning Enables Accurate Layer Mapping of 2D Materials.

ACS nano·2021

Search research articles

Related Experiment Video

Updated: Jan 16, 2026

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Decoding Cross-Modal Haptic Neural Coupling Through EEG-LSTM Spatiotemporal Modeling for Vibration-Roughness

Zhikai Li^1,2, Weixing Wang¹, Hongwei Li³

¹School of Mechanical Engineering, Guizhou University, Guiyang, China.

Annals of the New York Academy of Sciences

|October 3, 2025

Summary

This study reveals how vibration frequency in haptic substitution is encoded by the brain to simulate surface roughness. This discovery advances the development of advanced virtual reality and teleoperation systems.

Keywords:

cross‐modal coupling haptics neural coding roughness tribology vibration

More Related Videos

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Related Experiment Videos

Last Updated: Jan 16, 2026

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Area of Science:

Neuroscience
Haptics
Biomedical Engineering

Background:

Haptic feedback is vital for virtual immersion, but the neural mechanisms linking vibration frequency to surface roughness perception are not well understood.
This knowledge gap impedes the creation of effective tribology-based haptic interfaces for applications like virtual reality.

Purpose of the Study:

To model the cross-modal neural coupling between mechanical vibrations and perceived surface roughness.
To investigate the neural coding mechanisms underlying haptic substitution for roughness perception.

Main Methods:

Utilized double-blind experiments, event-related potential analysis, and electroencephalography (EEG) with long short-term memory (LSTM) modeling.
Extracted spatiotemporal EEG signal dependencies and quantified neural representation similarity using Euclidean distances.

Main Results:

Demonstrated a strong correlation between cortical responses to specific vibration frequencies and natural roughness perception.
Confirmed neurobehavioral consistency, showing that vibration-touch substitution can effectively simulate roughness through frequency-tuned neural coding.
Established that vibration frequency is a key neural code for representing surface roughness.

Conclusions:

Vibration-touch substitution can reliably simulate roughness perception by utilizing frequency-tuned neural coding.
Proposed a novel cortical response-aligned haptic framework for virtual reality and teleoperation.
Advanced tribological cross-modal neural engineering by elucidating the neural basis of haptic substitution for roughness.