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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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Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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Computational components of visual predictive coding circuitry.

Stewart Shipp1

  • 1Institute of Ophthalmology, University College London, London, United Kingdom.

Frontiers in Neural Circuits
|January 23, 2024
PubMed
Summary
This summary is machine-generated.

Predictive coding, a theory of brain function, explains how the brain generates predictions and learns from errors. This review explores its role in visual cortex physiology, particularly in mice and monkeys.

Keywords:
cortical neurophysiologygamma oscillationslaminar functionalityprecisionprediction-errorpredictive suppressionvisual hierarchy

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Visual perception can be viewed as hypothesis testing, with neural predictions forming key components.
  • Processing in the cerebral cortex is hierarchical, involving predictions and error signals moving between levels.

Purpose of the Study:

  • To review the physiological evidence for predictive coding in the visual cortex of mice and monkeys.
  • To contextualize predictive coding within broader neuroscience and computational theories.

Main Methods:

  • Review of existing literature on predictive coding in visual cortex.
  • Analysis of neural models implementing predictive coding, including neuron classes for predictions, errors, and precision.

Main Results:

  • Predictive coding is a fundamental algorithm for information processing in the cerebral cortex.
  • Specific neuron types are implicated in generating predictions, transmitting errors, and regulating signal precision.
  • Predictions are influenced by context, memory, experience, and evolutionary history.

Conclusions:

  • Predictive coding is well-grounded in basic neuroscience.
  • Further research is needed to fully understand its implications in visual cortex function.