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CogSci Stack Exchange is a Stack Exchange Q&A site for cognitive science, where experts and enthusiasts ask and answer questions across psychology, neuroscience, linguistics, AI, and related fields. It features community-voted questions and answers with topic tags, accepted answers, and discussions of theories, methods, and experiments.
More resources on Cognitive Psychology
Thinking, Fast and Slow
A foundational exploration of cognitive architecture and the systemic biases that shape human decision-making.
cognitivesciencesociety.org
Official site of the Cognitive Science Society, a professional organization for researchers and educators in cognitive science. It features information about the annual CogSci conference, membership and awards, journals and publications, news, events, and resources for researchers and educators.
r/cogsci
Subreddit where researchers and students post cognitive science papers, ask methodology questions, and debate findings across psychology, neuroscience, linguistics, and AI. Useful for tracking current debates and getting reading recommendations from people working in the field.
Introduction to Psychology
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.
All in the Mind
The show on how we think, feel and behave. Claudia Hammond delves into the evidence on mental health, psychology and neuroscience.
Thinking, Fast and Slow
Kahneman's account of forty years of research with Amos Tversky on judgment under uncertainty: anchoring, availability, representativeness, framing, loss aversion and regression to the mean, with the experimental evidence behind each. The primary source for most popular bias writing.