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Related Concept Videos

Somatosensory, Motor, and Association Cortex01:23

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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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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.
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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:
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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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Sensory impulses related to touch, pressure, vibration, and proprioception from various body parts, such as the limbs, trunk, neck, and posterior head, travel to the cerebral cortex through the posterior column-medial lemniscus pathway. The pathway’s name derives from the two white-matter tracts that convey the impulses: the spinal cord's posterior column and the brainstem's medial lemniscus. First-order sensory neurons extend their axons into the spinal cord, forming the...
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Related Experiment Video

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Functional Mapping with Simultaneous MEG and EEG
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Overlapping structures in sensory-motor mappings.

Kevin Earland1, Mark Lee1, Patricia Shaw1

  • 1Department of Computer Science/Aberystwith University, Wales, United Kingdom.

Plos One
|January 7, 2014
PubMed
Summary
This summary is machine-generated.

This study explores how overlapping receptive fields in topographic maps benefit sensory-motor learning in developmental robotics. Overlap can enhance spatial information representation and transmission, offering advantages for robotic systems.

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Area of Science:

  • Developmental robotics
  • Computational neuroscience
  • Cognitive robotics

Background:

  • Topographic neural maps in the brain feature overlapping receptive fields.
  • The functional implications of this overlap are not fully understood.
  • Overlap is crucial for complete spatial coverage in neural representations.

Purpose of the Study:

  • To investigate the effects and properties of overlap in topographic maps.
  • To determine if overlap is detrimental or beneficial for sensory-motor learning.
  • To identify optimal overlap ranges for robotic applications.

Main Methods:

  • Examination of overlap in arrays and maps.
  • Experimental analysis of spatial information representation and transmission.
  • Evaluation of overlap's impact on sensory-motor learning in robots.

Main Results:

  • Overlap can offer significant advantages in representing spatial information.
  • Specific conditions and ranges of overlap were identified as beneficial.
  • Overlap enhances the transmission of spatial location data between maps.

Conclusions:

  • Overlap in topographic maps is not detrimental and offers benefits for sensory-motor learning.
  • Understanding overlap provides guidance for designing more effective cognitive robotic systems.
  • Biologically-inspired overlap strategies can improve robotic spatial representation and learning.