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多くの動物が示す高度な問題解決能力には,大脳基底核が担う条件づけ学習(モデルフリープロセス)に加え,前頭前野における状態遷移学習(モデルベースプロセス)が重要であると考えられている。ここでは,前頭前野外側部の神経細胞が示す,刺激をカテゴリー化することで情報を抽象化する能力について紹介し,前頭前野外側部の推移的推論機能が,モデルベースプロセスにおいて果たす役割について議論する。
Abstract
To behave appropriately in a complex and uncertain world, the brain makes use of several distinct learning systems. One such system is called the “model-free process”, via which conditioning allows the association between a stimulus or response and a given reward to be learned. Another system is called the “model-based process”. Via this process, the state transition between a stimulus and a response is learned so that the brain is able to plan actions prior to their execution. Several studies have tried to relate the difference between model-based and model-free processes to the difference in functions of the lateral prefrontal cortex (LPFC) and the striatum. Here, we describe a series of studies that demonstrate the ability of LPFC neurons to categorize visual stimuli by their associated behavioral responses and to generate abstract information. If LPFC neurons utilize abstract code to associate a stimulus with a reward, they should be able to infer similar relationships between other stimuli of the same category and their rewards without direct experience of these stimulus-reward contingencies. We propose that this ability of LPFC neurons to utilize abstract information can contribute to the model-based learning process.
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