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Related Concept Videos

Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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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 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 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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Selective neural coding of object, feature, and geometry spatial cues in humans.

Stephen Ramanoël1,2, Marion Durteste1, Alice Bizeul1

  • 1Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.

Human Brain Mapping
|July 1, 2022
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Summary

This study reveals complex brain activity during spatial navigation. The hippocampus is involved in all navigation types, while the striatum is key for geometric cues, challenging the dual-system hypothesis.

Keywords:
functional MRIgeometryhippocampuslandmarknavigationspatial cuesstriatum

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Spatial Navigation

Background:

  • The dominant hypothesis suggests separate hippocampal and striatal systems for geometry and landmark-based spatial coding.
  • This dual-system view is challenged by ambiguous or conflicting spatial cue paradigms and varied landmark definitions.
  • Previous research has not fully differentiated neural networks for object-based versus feature-based navigation.

Purpose of the Study:

  • To investigate complex activation patterns in the hippocampus and striatum during visual spatial coding.
  • To test if object-based and feature-based navigation are distinct forms of landmark navigation.
  • To compare neural networks for geometry-, object-, and feature-based navigation.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to examine brain activity.
  • A two-choice behavioral paradigm assessed navigation strategies.
  • Neural network activity was compared across geometry-, object-, feature-based navigation, and a control condition.

Main Results:

  • The hippocampus showed involvement in all three navigation types (geometry, object, feature).
  • The striatum was more active with geometric cues compared to object or feature cues.
  • Distinct neural signatures were observed for each spatial cue type, with object-based navigation showing widespread temporal and occipital activity.

Conclusions:

  • Findings extend the dual hippocampal-striatal system model for visual spatial coding.
  • Novel insights into neural networks for object versus feature spatial coding are provided.
  • A distinction between object and feature landmarks is necessary for understanding human navigation.