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Somatosensory, Motor, and Association Cortex01:24

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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 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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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.
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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 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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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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Neurocomputational mechanisms underlying perception and sentience in the neocortex.

Andrew S Johnson1, William Winlow1,2

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|March 20, 2024
PubMed
Summary

Brain computation relies on quantum-phase processing and phase ternary computation (PTC) at neuron convergences. This model explains visual cortex function and object representation in brain neural networks.

Keywords:
action potential pulsecomputational action potentialnerve impulseperceptionphysiological action potentialreverberatory circuitssentiencesoliton

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Area of Science:

  • Neuroscience
  • Quantum Physics
  • Computational Biology

Background:

  • Neural computation is often modeled using classical electrophysiology.
  • The role of quantum mechanics in neural processing remains largely unexplored.
  • Understanding information processing in sensory systems like the retina and visual cortex is crucial.

Purpose of the Study:

  • To propose a quantum-based model for neural computation, specifically focusing on action potentials and neuronal networks.
  • To explain the coding and computation mechanisms in the retina and visual cortex.
  • To elucidate the role of quantum-phase processing in visual information abstraction and object recognition.

Main Methods:

  • Analysis of action potentials, ion changes, and refractory periods.
  • Development of a neuronal model based on quantum-phase ternary computation (PTC).
  • Examination of neural patterning and network abstracts in the lateral geniculate nucleus (LGN) and visual cortex.

Main Results:

  • Phase ternary computation (PTC) provides a mathematical solution for collective mean sampled frequency at neuron convergences within brain neural networks (BNN).
  • Action potentials diffract across neural networks via PTC, annulling parallel collisions.
  • The visual cortex generates abstract object representations through quantum-phase processing and frequency pattern analysis.

Conclusions:

  • Quantum-phase processing and PTC are fundamental to neural computation, explaining information coding and abstraction in sensory pathways.
  • This quantum model offers a universal explanation for information processing at neuronal convergences across various sensory modalities.
  • The brain neural network (BNN) utilizes quantum principles for efficient information integration and memory encoding.