• Naa tsure
• 神経科学を勉強したい人向けガイド(随時更新)
• これはなに？
• 日々の論文読み2025
• 最近読んで面白かった本(2024)
• Open Neuroscience
• Ch12: Conditioning and Associative Learning (The Oxford Handbook of Human Memory)の勉強メモ
• Dopamine dynamics during stimulus-reward learning in mice can be explained by performance rather than learning｜Nat Commun（2025）
• 予測報酬誤差(Reward-Prediction Error; RPE)
• 2025 - Lecture
• Dynamic Readout of Behaviorally Relevant Signals from Area MT during Task Switching｜Neuron（2009）
• Flexible coding of object motion in multiple reference frames by parietal cortex neurons｜Nat Neurosci（2020）
• Balancing risk-return decisions by manipulating the mesofrontal circuits in primates｜Science（2024）
• Neuroscience-Inspired Artificial Intelligence | Neuron (2017)
• Deep Reinforcement Learning and Its Neuroscientific Implications｜Neuron（2020）
• Neural Computations Underlying Arbitration between Model-Based and Model-free Learning｜Neuron（2014）
• Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning｜Nat Commun（2019）
• States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning｜Neuron（2010）
• The Oxford Handbook of Human Memory. Oxford University Press(Oxford Univ. Press, 2024)
• モデルベース強化学習(Model-Based RL)