Multimodal Stimuli

Multimodal stimuli are signals that combine information from two or more sensory modalities, such as visual, auditory, tactile, or olfactory cues, to influence perception and behavior. The nervous system processes these inputs through multisensory integration, combining signals across modalities when their timing, location, or meaning is sufficiently related, which can strengthen or modify behavioral responses. In behavioral research, multimodal stimuli help investigators examine attention, learning, decision-making, communication, and responses to complex environments. Studying how animals and humans integrate combined cues also clarifies the neural basis of perception and supports the design of realistic experiments, assistive technologies, and interactive systems.

Multimodal Stimuli - Related Videos

Research

JoVE Journal - Behavior

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm

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Cited by 4 •

2014

The distractor-response binding paradigm is described. It can be used to shed light on the influence irrelevant stimuli, competing with targets for a response, can have on human action. Both response retrieval effects and distractor inhibition effects can be analyzed within the paradigm.

Research

JoVE Journal - Neuroscience
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Preterm EEG: A Multimodal Neurophysiological Protocol

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Cited by 39 •

2012

This video explains the background theory of the neonatal EEG activity and the sensory responses, followed by a live demonstration of their recording in neonatal intensive care unit.

Research

JoVE Journal - Bioengineering

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

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2025

Utilizing a multimodal platform combining label-free optical imaging modalities, we have developed a protocol for visualizing and quantifying cellular dynamics and metabolism. Through imaging via multiphoton fluorescence, second harmonic generation, and stimulated Raman scattering microscopy, we can generate a holistic overview of the cellular and molecular environment.

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

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Cited by 2 •

2023

We present a method for the flexible chemical and multimodal stimulation and recording of simultaneous neural activity from many Caenorhabditis elegans worms. This method uses microfluidics, open-source hardware and software, and supervised automated data analysis to enable the measurement of neuronal phenomena such as adaptation, temporal inhibition, and stimulus crosstalk.

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots

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Cited by 4 •

2023

This manuscript describes a 4D printing strategy for fabricating intelligent stimuli-responsive soft robots. This approach can provide the groundwork to facilitate the realization of intelligent shape-transformable soft robotic systems, including smart manipulators, electronics, and healthcare systems.

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