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Contribution of Sensory Encoding to Measured Bias
Miaomiao Jin1, Lindsey L Glickfeld2
1Department of Neurobiology, Duke University Medical Center, Durham, North Carolina 27710.
Signal detection theory (SDT) measures perceptual decision-making using sensitivity and bias. This study demonstrates that manipulating neuronal excitability in the visual cortex directly influences bias, showing sensory encoding impacts decision-making criteria.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Signal detection theory (SDT) is a framework for perceptual decision-making, yielding sensitivity (d') and bias (c).
- Bias is influenced by both decision criteria and sensory encoding, but the direct impact of sensory encoding on bias is not fully understood.
Purpose of the Study:
- To investigate whether sensory encoding processes in the primary visual cortex (V1) can directly influence behavioral bias measured by SDT.
- To determine if manipulating V1 neuronal excitability affects both behavioral and neuronal measures of bias.
Main Methods:
- Optogenetic manipulation of neuronal excitability in mouse V1 during orientation discrimination and contrast detection tasks.
- Extracellular recordings from V1 neurons in passively viewing mice to assess neuronal bias.
- Modulation of V1 encoding quality via stimulus contrast and interstimulus interval.
Main Results:
- Increased V1 excitability decreased behavioral bias; decreased excitability increased bias.
- Optogenetic manipulation shifted neuronal bias in V1 in the same direction as behavioral bias.
- Changes in stimulus contrast or interval consistently altered both behavioral and neuronal bias.
Conclusions:
- Sensory encoding processes in V1 are sufficient to drive changes in bias measured by SDT.
- Neuronal bias in sensory areas directly contributes to behavioral bias.
- SDT bias is sensitive to alterations in sensory encoding, independent of sensitivity changes.
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