Bayesian methods: brain and cognitive perspectives
Taught by Mehrdad Jazayeri and Josh Tenenbaum Lecture slides, references, exercises, and sign-ups for future tutorials are posted here: https://stellar.mit.edu/S/project/bcs... Thanks to MIT BCS seminar committee, postdoc committee (especially Evan Remington), and graduate advocate committee for funding and organizing help. Videos by the Center for Minds Brains and Machines. Tutorial series founded by Emily Mackevicius.
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How to Grow a Mind: Statistics, Structure and Abstraction
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Karl Friston - 2016 CCN Workshop: Predictive Coding
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Consciousness and Intelligence
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Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley
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The PROBLEM with Capitalism - Smarter Every Day 316
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TypeScript in Express – TypeScript Tutorial
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Ben Wikler | American Conversations
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6. Monte Carlo Simulation
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What are the differences between neural networks and the brain?
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Training Sand to Think: Artificial General Intelligence & Future of Physics
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Daniel Haenelt: Removing macrovascular bias in fMRI with physics-informed machine learning framework
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The 3 ways stupidity spreads throughout a society | Jonny Thomson
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Stephen Meyer, John Lennox, and James Tour: Three Scientists on the Origins of Everything
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How the Brain Pays Attention
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Tommy Clausner: Frequency and Laminar Profile of Feature Specific Activity Revealed by EEG-fMRI
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Free Energy Principle — Karl Friston
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Building Machines that Learn and Think Like People
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5. Cognitive Neuroscience Methods II
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What Is Consciousness? – A Question of Science with Brian Cox
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