Related Experiment Video
Updated: Feb 6, 2026

A Conflict Model of Reward-seeking Behavior in Male Rats
Published on: February 20, 2019
Reward enhances cross-modal conflict control in object categorization: Electrophysiological evidence
Guanlan Kang1, Wenshuo Chang1, Lihui Wang1
1School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Abstract:
Cross-modal conflict arises when information from different sensory modalities are incompatible with each other. Such conflict may influence the processing of stimuli in the task-relevant modality and call for cognitive control to resolve this conflict. Here, we investigate how reward modulates cross-modal conflict control during object categorization. Participants categorized pictures as representing animate or inanimate objects while ignoring auditory stimuli. We manipulated the audiovisual congruency and performance-dependent reward (reward vs. no-reward). Behavioral results showed a significant cross-modal interference effect only in the no-reward condition, not in the reward condition. Neurally, we found that the frontocentral N2and theta band oscillations were larger in the incongruent condition than in the congruent condition, but only when there was no reward for performance. The converging behavioral and electrophysiological evidence demonstrates that reward enhances cognitive control in a cross-modal context and reduces cross-modal conflict.
Related Concept Videos
The Evidence for Evolution
Crossing Over
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process...
Crossing Over
Sensory Modalities
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Monohybrid Crosses

