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Res.9-003 Brains, Minds and Machines (Summer 2015, MIT OCW). Instructors: Prof. Tomaso Poggio (Course Director, MIT) and Prof.
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English [CC]
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Description
Gabriel Kreiman (Course Director, Harvard). This course explores the problem of intelligence - its nature, how it is produced by the brain and how it could be replicated in machines - using an approach that integrates cognitive science, which studies the mind; neuroscience, which studies the brain; and computer science and artificial intelligence, which study the computations needed to develop intelligent machines. (from ocw.mit.edu)
Course content
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- Lecture 01 – Nancy Kanwisher – Human Cognitive Neuroscience Unlimited
- Lecture 02 – Gabriel Kreiman – Computational Roles of Neural Feedback Unlimited
- Lecture 03 – James DiCarlo – Neural Mechanisms of Recognition, Part 1 Unlimited
- Lecture 04 – James DiCarlo – Neural Mechanisms of Recognition, Part 2 Unlimited
- Lecture 05 – Winrich Freiwald – Primates, Faces, and Intelligence Unlimited
- Lecture 06 – Matt Wilson – Hippocampus, Memory, and Sleep, Part 1 Unlimited
- Lecture 07 – Matt Wilson – Hippocampus, Memory, and Sleep, Part 2 Unlimited
- Lecture 08 – Larry Abbott – Mind in the Fly Brain Unlimited
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- Lecture 09 – Josh Tenenbaum – Computational Cognitive Science, Part 1 Unlimited
- Lecture 10 – Josh Tenenbaum – Computational Cognitive Science, Part 2 Unlimited
- Lecture 11 – Josh Tenenbaum – Computational Cognitive Science, Part 3 Unlimited
- Lecture 12 – Liz Spelke – Cognition in Infancy, Part 1 Unlimited
- Lecture 13 – Liz Spelke – Cognition in Infancy, Part 2 Unlimited
- Lecture 14 – Alia Martin – Developing an Understanding of Communication Unlimited
- Lecture 15 – Laura Schulz – Children’s Sensitivity to Cost and Value of Information Unlimited
- Lecture 16 – Jessica Sommerville – Infants’ Sensitivity to Cost and Benefit Unlimited
- Lecture 17 – Josh Tenenbaum – The Child as Scientist Unlimited
- Lecture 18 – Debate: Tomer Ullman and Laura Schulz Unlimited
- Lecture 24 – Boris Katz – Vision and Language Unlimited
- Lecture 25 – Andrei Barbu – From Language to Vision and Back Again Unlimited
- Lecture 26 – Patrick Winston – Story Understanding Unlimited
- Lecture 27 – Tom Mitchell – Neural Representations of Language Unlimited
- Lecture 32 – Josh McDermott – Introduction to Audition, Part 1 Unlimited
- Lecture 33 – Josh McDermott – Introduction to Audition, Part 2 Unlimited
- Lecture 34 – Nancy Kanwisher – Human Auditory Cortex Unlimited
- Lecture 35 – Hynek Hermansky – Auditory Perception in Speech Technology, Part 1 Unlimited
- Lecture 36 – Hynek Hermansky – Auditory Perception in Speech Technology, Part 2 Unlimited
- Lecture 37 – Panel – Vision and Audition Unlimited
- Lecture 45 – Tomaso Poggio – iTheory: Visual Cortex and Deep Networks Unlimited
- Lecture 46 – Surya Ganguli – Statistical Physics of Deep Learning Unlimited
- Lecture 47 – Haim Sompolinsky – Sensory Representations in Deep Networks Unlimited
Instructor
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