From Cognitive to Habit Behavior during Navigation, through Cortical-Basal Ganglia Loops.
作者： Jean-Paul Banquet , Souheïl Hanoune , Philippe Gaussier , Mathias Quoy
DOI: 10.1007/978-3-319-44778-0_28
关键词:
摘要: The distinction between cognitive goal-oriented and SR habitual behavior has long been classical in Neuroscience. Nevertheless, the mechanisms of two types behaviors as well their interactions are poorly understood, spite significant advances knowledge supporting structures, cortico-striatal loops. A neural network (NN) model dynamics these systems during a goal navigation paradigm is presented within framework reinforcement learning. supposing, parallel interactive learning strategies, replicates key experimental results related to transition them. biological inspiration NN architecture provides insights on nature interactions, conditions respective engagement control behavior.
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sci-hub.st 参考文章(16)
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