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Oddball Evoked Deviant Responses Reflect Complex Context-Dependent Expectations in Mouse V1.

Scott G Knudstrup1,2, Catalina Martinez Reyes1, Cambria M Jensen1

  • 1Center for Systems Neuroscience, Department of Biology, Boston University, Boston, Massachusetts 02215.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

Deviant responses in the mouse visual cortex are complex, influenced by temporal context and expectation violations, not just adaptation. Predictive coding theories explain these visual processing changes.

Keywords:
V1mismatch negativitymouseoddball paradigmplasticitypredictive coding

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Neuroscience

Background:

  • Cortical circuits may implement predictive coding, responding to unexpected stimuli.
  • Oddball stimuli in visual sequences can elicit deviant responses, but adaptation effects complicate interpretation.

Purpose of the Study:

  • To disentangle temporal and ordinal components of deviant responses in the mouse primary visual cortex.
  • To investigate the role of predictive coding and adaptation in visual processing.

Main Methods:

  • Utilized various oddball paradigms with visual stimuli in male and female mice.
  • Recorded visually evoked potentials to analyze neural responses.
  • Differentiated between temporal structure, ordinal expectation, and event frequency effects.

Main Results:

  • Deviant responses occur across a broad timescale and are not explained by simple adaptation.
  • Responses scale with predictability and are modulated by violations of sequential expectations (first- and second-order).
  • Visual sequences can induce long-term plasticity under certain conditions.

Conclusions:

  • Deviant responses in the visual cortex are a complex phenomenon influenced by temporal context, expectation, and predictability.
  • Findings support predictive coding models but highlight the need to account for adaptation and complex sequential processing.
  • Visual experience can lead to lasting changes in neural circuits.