EEG and ERP Methodology
ERPs and HUMAN REINFORCEMENT LEARNING
Biasiucci et al. 2019- Primer: Electroencephalography
Cohen 2017- Where Does EEG Come From And What Does It Mean?
Decision Making: Dual-Process Theory
General Background
Kahneman, 2011 – Thinking, Fast and Slow (up to and including chapter 4)
Default Interventionist Model
Evans and Stanovich 2013 - Dual-Process Theories of Higher Cognition: Advancing the Debate
Thompson 2013 - Why it matters: The implications of autonomous processes for dual process theories—Commentary on Evans & Stanovich (2013)
Kruglanski, 2013 - Only one? The default interventionist perspective as a unimodel—Commentary on Evans & Stanovich (2013)
Keren, 2013 - A tale of two systems: A scientific advance or a theoretical stone soup? Commentary on Evans & Stanovich (2013)
Osman, 2013 - A case study: Dual-process theories of higher cognition—Commentary on Evans & Stanovich (2013)
Evans and Stanovich, 2013 - Theory and metatheory in the study of dual processing: Reply to comments
Hybrid Models
De Neys, 2017 - Bias, Conflict, and fast logic: towards a hybrid dual process future?
Pennycook, 2017 - A perspective on the theoretical foundation of dual process models
Pennycook et al., 2015 - What makes us think? A three-stage dual-process model of analytic engagement.
EEG
Banks, 2017 – Comparing Dual Pricess Theories: Evidence from Event-Related Potentials
Banks and Hope 2014 - Heuristic and analytic processes in reasoning: An event‐related potential study of belief bias
Williams et al., 2018 - Thinking theta and alpha: Mechanisms of intuitive and analytical reasoning
Kahneman, 2011 – Thinking, Fast and Slow (up to and including chapter 4)
Default Interventionist Model
Evans and Stanovich 2013 - Dual-Process Theories of Higher Cognition: Advancing the Debate
Thompson 2013 - Why it matters: The implications of autonomous processes for dual process theories—Commentary on Evans & Stanovich (2013)
Kruglanski, 2013 - Only one? The default interventionist perspective as a unimodel—Commentary on Evans & Stanovich (2013)
Keren, 2013 - A tale of two systems: A scientific advance or a theoretical stone soup? Commentary on Evans & Stanovich (2013)
Osman, 2013 - A case study: Dual-process theories of higher cognition—Commentary on Evans & Stanovich (2013)
Evans and Stanovich, 2013 - Theory and metatheory in the study of dual processing: Reply to comments
Hybrid Models
De Neys, 2017 - Bias, Conflict, and fast logic: towards a hybrid dual process future?
Pennycook, 2017 - A perspective on the theoretical foundation of dual process models
Pennycook et al., 2015 - What makes us think? A three-stage dual-process model of analytic engagement.
EEG
Banks, 2017 – Comparing Dual Pricess Theories: Evidence from Event-Related Potentials
Banks and Hope 2014 - Heuristic and analytic processes in reasoning: An event‐related potential study of belief bias
Williams et al., 2018 - Thinking theta and alpha: Mechanisms of intuitive and analytical reasoning
Reinforcement Learning
Theoretical Approaches
Niv (2009)- Reinforcement learning in the brain
Niv and Langdon (2016)- Reinforcement learning with Marr
Leo, Seo, and Jung (2012)- Neural Basis of Reinforcement Learning and Decision Making
Dayan and Niv (2008)- Reinforcement learning: The Good, The Bad, and The Ugly
Botvinick, Niv, and Barto (2009)- Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective
EEG and ERPs
Niewenhuis, Slagter, Alting von Geusau, Heslenfeld, and Holroyd (2005)- Knowing good from bad: differential activation of human cortical areas by positive and negative outcomes
Holroyd and Coles (2002)- The Neural Basis of Human Error Processing: Reinforcement Learning, Dopamine, and the Error-Related Negativity
Cohen and Ranganath (2007) - Reinforcement Learning Signals Predict Future Decisions
Krigolson, Pierce, Holroyd, and Tanaka (2009)- Learning to Become an Expert: Reinforcement Learning and the Acquisition of Perceptual Expertise
Niv (2009)- Reinforcement learning in the brain
Niv and Langdon (2016)- Reinforcement learning with Marr
Leo, Seo, and Jung (2012)- Neural Basis of Reinforcement Learning and Decision Making
Dayan and Niv (2008)- Reinforcement learning: The Good, The Bad, and The Ugly
Botvinick, Niv, and Barto (2009)- Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective
EEG and ERPs
Niewenhuis, Slagter, Alting von Geusau, Heslenfeld, and Holroyd (2005)- Knowing good from bad: differential activation of human cortical areas by positive and negative outcomes
Holroyd and Coles (2002)- The Neural Basis of Human Error Processing: Reinforcement Learning, Dopamine, and the Error-Related Negativity
Cohen and Ranganath (2007) - Reinforcement Learning Signals Predict Future Decisions
Krigolson, Pierce, Holroyd, and Tanaka (2009)- Learning to Become an Expert: Reinforcement Learning and the Acquisition of Perceptual Expertise