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Related Experiment Video

Updated: May 14, 2026

A Large Lateral Craniotomy Procedure for Mesoscale Wide-field Optical Imaging of Brain Activity
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Sscillatory Cortical Activity during Visual Hallucinations.

P Tass1

  • 1Department of Neurology, Heinrich-Heine-University, Düsseldorf, Germany.

Journal of Biological Physics
|January 25, 2013
PubMed
Summary
This summary is machine-generated.

This study explores cortical activity patterns linked to visual hallucinations using a theoretical model. It identifies traveling waves and blinking rolls as key patterns that may cause these dynamic hallucinations.

Keywords:
Activator-inhibitor networkBifurcationBlinking rollsCenter manifoldOrder parameter equationPattern formationVisual hallucinations.

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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Area of Science:

  • Computational Neuroscience
  • Theoretical Neuroscience
  • Visual Perception

Background:

  • Dynamic visual hallucinations can arise from various disease mechanisms affecting cortical activity.
  • Understanding the underlying neural dynamics is crucial for explaining these phenomena.

Purpose of the Study:

  • To theoretically investigate cortical activity patterns that generate dynamic visual hallucinations.
  • To analyze oscillatory instabilities within the Ermentrout-Cowan activator-inhibitor model.

Main Methods:

  • Derivation of the order parameter equation from the activator-inhibitor model.
  • Application of the averaging theorem to obtain the averaged order parameter equation.
  • Analytical determination of stable and unstable bifurcating cortical activity patterns.

Main Results:

  • Two distinct cortical activity patterns were identified: traveling waves and 'blinking rolls' (standing waves with specific phase shifts).
  • These patterns arise from oscillatory instabilities and depend on model parameters and initial conditions.
  • Traveling waves and blinking rolls can account for a variety of dynamic visual hallucinations.

Conclusions:

  • The study provides a theoretical framework for understanding visual hallucinations based on specific cortical activity patterns.
  • Oscillatory instabilities in neural models can lead to complex dynamics that manifest as hallucinations.
  • The identified patterns, traveling waves and blinking rolls, offer insights into the generation of dynamic visual hallucinations.