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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...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Related Experiment Video

Updated: Jun 26, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Information processing from a onedimensional bioinspired analog sensor.

S F Barrett1, J B Benson, C H G Wright

  • 1Electrical and Computer Engineering, Department 3295, 1000 E. University Avenue, University of Wyoming, Laramie, WY, 82071, USA. steveb@uwyo.edu.

Biomedical Sciences Instrumentation
|January 15, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel analog sensor mimicking the housefly

Related Experiment Videos

Last Updated: Jun 26, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

  • Biomimetic sensor technology
  • Computational vision systems
  • Analog signal processing

Background:

  • The common housefly's vision system demonstrates efficient, cooperative information processing.
  • Existing sensors have limitations in resolution compared to biological systems.

Purpose of the Study:

  • To develop and characterize an analog sensor inspired by Musca domestica's visual processing.
  • To investigate the sensor's capability for high-resolution motion detection.
  • To explore applications in real-world imaging challenges.

Main Methods:

  • Extensive modeling of the sensor's behavior.
  • Fabrication of first-generation prototypes and a controller parameter test station.
  • Development of techniques for information extraction from sensor data.

Main Results:

  • The developed sensor exhibits fast, cooperative information processing.
  • Preliminary results show motion detection resolution exceeding predictions based on photoreceptor spacing.
  • Successful fabrication of sensor prototypes and test station.

Conclusions:

  • The housefly-inspired analog sensor shows promise for advanced imaging applications.
  • Further development of a second-generation, robust sensor is underway.
  • The sensor's unique processing capabilities warrant further investigation for complex imaging tasks.