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Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling

机译：通过使用加强学习建模和格兰杰因果关系来解开独立皮质棘轮系统对视觉分类学习的贡献

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Carol A. Seger; Erik J. Peterson; Corinna M. Cincotta; Dan Lopez-Paniagua; Charles W. Anderson;
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年度 2010
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1. Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling. [J] . Seger CA, Peterson EJ, Cincotta CM, NeuroImage . 2010,第2期

机译：通过使用强化学习模型和Granger因果关系模型，分离独立的皮质口系统对视觉分类学习的贡献。
2. Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems:An experimental analysis [J] . Fabiano A. Dorca, Luciano V. Lima, Marcia A. Fernandes, Expert Systems with Application . 2013,第6期

机译：在自适应和智能教育系统中通过强化学习对学生学习风格进行建模的策略比较：实验分析
3. An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning [J] . Balasubramani, Pragathi P. Frontiers in Computational Neuroscience . 2014,第4期

机译：扩展的基底神经节强化学习模型，以了解5-羟色胺和多巴胺在基于风险的决策，奖励预测和惩罚学习中的作用
4. Detecting granger causality in the corticostriatal learning and rewards network using MEG [C] . Kanal E., Ozkurt T., Sclabassi R.J., IEEE Annual Northeast Bioengineering Conference . 2009

机译：使用MEG在皮质口学习和奖励网络中检测格兰杰因果关系
5. Exploring Granger Causality in Dynamical Systems Modeling and Performance Monitoring [D] . Saha, Homagni. 2018

机译：探索动力系统建模和性能监测的格兰杰因果关系
6. Dissociating the Contributions of Independent Corticostriatal Systems to Visual Categorization Learning Through the Use of Reinforcement Learning Modeling and Granger Causality Modeling [O] . Carol A. Seger, Erik J. Peterson, Corinna M. Cincotta, -1

机译：解离独立的皮质纹状体系统到Visual分类学的贡献通过强化学习模型和格兰杰因果关系模型的使用
7. States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning [O] . Gläscher Jan, Daw Nathaniel, Dayan Peter, 2010

机译：状态与奖励：基于模型和免费模型的强化学习背后的可分离神经预测误差信号

Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling

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