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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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Motor and Sensory Areas of the Cortex01:14

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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 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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Related Experiment Video

Updated: Jul 31, 2025

Cross-Modal Multivariate Pattern Analysis
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Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting

Connor G Gallimore1, David Ricci1, Jordan P Hamm1,2,3

  • 1Neuroscience Institute, Georgia State University, Petit Science Center, 100 Piedmont Ave, Atlanta, GA 30303.

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Deviance detection (DD) in the visual cortex emerges later in specific layers (L2/3) and involves distinct brain oscillations, clarifying neural processing of unexpected stimuli.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Neocortical processing of sensory data is modulated by context.
  • Unexpected visual stimuli trigger deviance detection (DD) in the primary visual cortex (V1), analogous to mismatch negativity (MMN) in EEG.
  • The precise emergence of visual DD/MMN across cortical layers, timing, and relation to brain oscillations remain unclear.

Approach:

  • A visual oddball paradigm was used in awake mice to study DD.
  • Local field potentials in V1 were recorded using 16-channel multielectrode arrays.
  • Multiunit activity and current source density profiles were analyzed to map neural responses.

Key Points:

  • Basic adaptation to stimuli occurred early (50ms) in layer 4.
  • Deviance detection (DD) emerged later (150-230ms) in supragranular layers (L2/3).
  • DD coincided with altered oscillations: increased delta/theta and high-gamma in L2/3, decreased beta in L1.

Conclusions:

  • This study clarifies neocortical microcircuit dynamics during an oddball paradigm.
  • Findings support a predictive coding framework, differentiating feedback (L1) and feed-forward (L2/3) processing.
  • Results elucidate the neural basis of deviance detection and its temporal dynamics in V1.