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Adaptive Choice Biases in Mice and Humans
Mario Treviño1, Ricardo Medina-Coss Y León1, Belén Haro1
1Laboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Mexico.
Choice biases in perceptual decision-making are prevalent in mice and humans, even when detrimental. Stimulus discriminability reduced these biases in forced-choice tasks but not in free-choice tasks, indicating adaptability.
Area of Science:
- Cognitive Neuroscience
- Decision Making
- Animal Behavior
Background:
- The role of non-sensory information in perceptual decision-making remains unclear.
- Choice biases, prevalent in mice and humans, can decrease reward outcomes despite their persistence.
- Potential origins of choice biases include functional asymmetries in sensory processing or decision-making.
Purpose of the Study:
- To investigate how experimental conditions influence choice bias production in mice and humans.
- To develop methods for jointly characterizing psychometric performance and innate side-choice behavior.
- To understand the impact of stimulus discriminability on choice biases in different task paradigms.
Main Methods:
- Implementation of forced-choice and un-forced (free-choice) visual tasks.
- Assessment of psychometric performance and side-choice behavior in mice and humans.
- Analysis of choice bias stability, adaptability, and influence of experimental manipulations.
Main Results:
- Both species exhibited stable side-choice biases, forming continuous distributions.
- Stimulus discriminability decreased choice biases in forced-choice tasks but not in free-choice tasks.
- Choice biases were stable across days, identifiable for individuals, and adaptable to non-visual reinforcement.
Conclusions:
- Choice biases are influenced by both internal and external factors.
- The findings highlight the adaptability of choice biases in response to experimental contingencies.
- Task adaptations may serve as diagnostic tools for detecting aberrant choice variability.
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