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Related Concept Videos

Sensory Modalities01:15

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...
Introduction to Special Senses01:26

Introduction to Special Senses

Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive functions.
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex. This...
Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
What is a Sensory System?01:31

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.

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Related Experiment Video

Updated: Jul 12, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Multimodal Neuromorphic Sensory Device for Intelligent Perception.

Huding Jin1,2, Hyunbae Cheon1, Junwoo Park1,2

  • 1Department of Chemistry, Sogang University, Seoul 04107, Republic of Korea.

ACS Applied Materials & Interfaces
|July 9, 2026
PubMed
Summary

This study introduces a novel neuromorphic device that mimics biological cross-modal integration. The visual-gustatory device learns associations between stimuli, demonstrating device-level cross-modal associative learning.

Keywords:
associative learningcross-modal interactionion kineticsmultisensory integrationsurface photovoltage

Related Experiment Videos

Last Updated: Jul 12, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Area of Science:

  • Neuromorphic Engineering
  • Materials Science
  • Sensory Systems

Background:

  • Biological cross-modal integration relies on physically coupled neural processes.
  • Emulating this associative behavior in solid-state hardware is challenging, especially for disparate sensory modalities.
  • Existing approaches often focus on parallel signal fusion rather than intrinsic coupling.

Purpose of the Study:

  • To develop a neuromorphic device capable of emulating cross-modal integration and associative learning.
  • To investigate the intrinsic coupling between optoelectronic and ionic processes for multimodal sensory input.
  • To demonstrate device-level cross-modal associative learning using a visual-gustatory system.

Main Methods:

  • Fabrication of an asymmetric CuO-Cu2O nanowire film for a visual-gustatory neuromorphic device.
  • Utilizing the surface photovoltaic effect and solid-liquid interface charge redistribution for bias-free operation.
  • Investigating ionic adsorption, electric double layer formation, and their modulation of surface band bending and carrier density.
  • Analyzing the synergistic amplification of electrical output through coupled optoelectronic and ionic responses.
  • Demonstrating cross-modal association by pairing optical and chemical stimuli and observing conditioned responses.

Main Results:

  • The heterostructured nanowire network exhibited intrinsic coupling between solid-state optoelectronics and liquid-phase ionics.
  • Ionic modulation synergistically amplified the optoelectronic response, leading to characteristic time-dependent outputs.
  • The device demonstrated persistent cross-modal association, where visual stimuli could evoke gustatory-specific responses after conditioning.
  • Device-level cross-modal associative learning was achieved directly from the multimodal sensory device.

Conclusions:

  • The developed visual-gustatory neuromorphic device successfully emulates cross-modal integration through intrinsically coupled physical mechanisms.
  • This work provides a functional basis for multimodal integration and associative learning in solid-state hardware.
  • The findings pave the way for advanced neuromorphic systems capable of complex sensory processing and learning.