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Related Concept Videos

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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Related Experiment Video

Updated: Apr 30, 2026

Author Spotlight: Unveiling Neural Coding and Mechanisms of Visual Processing in the Superior Colliculus
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Adaptive visual and auditory map alignment in barn owl superior colliculus and its neuromorphic implementation.

Juan Huo, Alan Murray, Dongqing Wei

    IEEE Transactions on Neural Networks and Learning Systems
    |May 9, 2014
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    Barn owls

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    Area of Science:

    • Neuroscience
    • Robotics
    • Computational Biology

    Background:

    • Adaptation is crucial for biological survival.
    • Barn owls exhibit remarkable visual adaptation to environmental changes, like prism-induced distortion.
    • This adaptive process involves sensory map realignment in the superior colliculus (SC).

    Purpose of the Study:

    • To model the barn owl's sensory map realignment for artificial systems.
    • To enhance robot adaptability using a biologically inspired computational model.
    • To accelerate the implementation of adaptive sensory pathways via VLSI circuits.

    Main Methods:

    • Mathematical modeling of barn owl SC sensory map realignment.
    • Real-time robot experiments with and without prism vision distortion.
    • Fabrication and testing of a mixed-signal VLSI circuit for adaptive pathways.

    Main Results:

    • The computational model successfully replicated SC realignment.
    • Robots demonstrated improved adaptability in a distorted visual environment.
    • VLSI circuit implementation achieved higher computation speeds, consistent with simulations.

    Conclusions:

    • Biologically inspired models can confer adaptability to artificial systems.
    • VLSI technology offers a viable path for high-speed implementation of adaptive neural pathways.
    • This research bridges neuroscience, AI, and hardware engineering for enhanced robotic capabilities.