Brain network in thalamus and brainstem drives decision-making biased by past choices
Researchers identified a neural network connecting the thalamus and brainstem that influences how animals make decisions based on their history of previous choices. The study used zebrafish and computational modeling to map how past experiences create biases in decision-making. Understanding these neural mechanisms could illuminate how brains weigh recent history against current evidence when making choices.
A study published in Nature News describes how a thalamus–brainstem attractor network drives history-biased decisions in animals. Researchers used zebrafish as a model organism and developed spiking neural network models to understand how neural circuits encode and use information about past choices to influence future decisions. The work builds on extensive prior research showing that animals tend to repeat previous choices or perceptions—a phenomenon called serial dependence. By mapping the specific brain regions and neural dynamics involved, the study provides mechanistic insight into how decision-making systems balance reliance on recent history with current sensory information. The research includes publicly available data and code, supporting reproducibility and further investigation.
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- Nature NewsCenter
A thalamus–brainstem attractor network drives history-biased decisions
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