دانلود مقاله انگلیسی رایگان:یک مدل یادگیری تقویتی رفتار اجتناب فعال: تفاوت بین موشهای Sprague Dawley و Wistar-Kyoto - 2020
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  • A reinforcement-learning model of active avoidance behavior: Differences between Sprague Dawley and Wistar-Kyoto rats A reinforcement-learning model of active avoidance behavior: Differences between Sprague Dawley and Wistar-Kyoto rats
    A reinforcement-learning model of active avoidance behavior: Differences between Sprague Dawley and Wistar-Kyoto rats

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    A reinforcement-learning model of active avoidance behavior: Differences between Sprague Dawley and Wistar-Kyoto rats


    ترجمه فارسی عنوان مقاله:

    یک مدل یادگیری تقویتی رفتار اجتناب فعال: تفاوت بین موشهای Sprague Dawley و Wistar-Kyoto


    منبع:

    Sciencedirect - Elsevier - Behavioural Brain Research, 393 (2020) 112784. doi:10.1016/j.bbr.2020.112784


    نویسنده:

    Kevin M. Spieglera,b,*,1, John Palmieria,b,1, Kevin C.H. Pangb,c,d, Catherine E. Myersb,c,d


    چکیده انگلیسی:

    Avoidance behavior is a typically adaptive response performed by an organism to avert harmful situations. Individuals differ remarkably in their tendency to acquire and perform new avoidance behaviors, as seen in anxiety disorders where avoidance becomes pervasive and inappropriate. In rodent models of avoidance, the inbred Wistar-Kyoto (WKY) rat demonstrates increased learning and expression of avoidance compared to the outbred Sprague Dawley (SD) rat. However, underlying mechanisms that contribute to these differences are unclear. Computational modeling techniques can help identify factors that may not be easily decipherable from behavioral data alone. Here, we utilize a reinforcement learning (RL) model approach to better understand strain differences in avoidance behavior. An actor-critic model, with separate learning rates for action selection (in the actor) and state evaluation (in the critic), was applied to individual data of avoidance acquisition from a large cohort of WKY and SD rats. Latent parameters were extracted, such as learning rate and subjective reinforcement value of foot shock, that were then compared across groups. The RL model was able to accurately represent WKY and SD avoidance behavior, demonstrating that the model could simulate individual performance. The model determined that the perceived negative value of foot shock was significantly higher in WKY than SD rats, whereas learning rate in the actor was lower in WKY than SD rats. These findings demonstrate the utility of computational modeling in identifying underlying processes that could promote strain differences in behavioral performance.
    Keywords: Strain differences | Avoidance | Wistar Kyoto rat | Reinforcement learning | Computational modeling


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 3177 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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