Res.9-003 Brains, Minds and Machines
Res.9-003 Brains, Minds and Machines (Summer 2015, MIT OCW). Instructors: Prof. Tomaso Poggio (Course Director, MIT) and Prof. 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)
| Unit 1. Neural Circuits of Intelligence |
| Lecture 01 - Nancy Kanwisher - Human Cognitive Neuroscience |
| Lecture 02 - Gabriel Kreiman - Computational Roles of Neural Feedback |
| Lecture 03 - James DiCarlo - Neural Mechanisms of Recognition, Part 1 |
| Lecture 04 - James DiCarlo - Neural Mechanisms of Recognition, Part 2 |
| Lecture 05 - Winrich Freiwald - Primates, Faces, and Intelligence |
| Lecture 06 - Matt Wilson - Hippocampus, Memory, and Sleep, Part 1 |
| Lecture 07 - Matt Wilson - Hippocampus, Memory, and Sleep, Part 2 |
| Lecture 08 - Larry Abbott - Mind in the Fly Brain |
| Unit 2. Modeling Human Cognition |
| Lecture 09 - Josh Tenenbaum - Computational Cognitive Science, Part 1 |
| Lecture 10 - Josh Tenenbaum - Computational Cognitive Science, Part 2 |
| Lecture 11 - Josh Tenenbaum - Computational Cognitive Science, Part 3 |
| Unit 3. Development of Intelligence |
| Lecture 12 - Liz Spelke - Cognition in Infancy, Part 1 |
| Lecture 13 - Liz Spelke - Cognition in Infancy, Part 2 |
| Lecture 14 - Alia Martin - Developing an Understanding of Communication |
| Lecture 15 - Laura Schulz - Children's Sensitivity to Cost and Value of Information |
| Lecture 16 - Jessica Sommerville - Infants' Sensitivity to Cost and Benefit |
| Lecture 17 - Josh Tenenbaum - The Child as Scientist |
| Lecture 18 - Debate: Tomer Ullman and Laura Schulz |
| Unit 4. Visual Intelligence |
| Lecture 19 - Shimon Ullman - Development of Visual Concepts |
| Lecture 20 - Shimon Ullman - Atoms of Recognition |
| Lecture 21 - Aude Oliva - Predicting Visual Memory |
| Lecture 22 - Eero Simoncelli - Probing Sensory Representations |
| Lecture 23 - Amnon Shashua - Applications of Vision |
| Unit 5. Vision and Language |
| Lecture 24 - Boris Katz - Vision and Language |
| Lecture 25 - Andrei Barbu - From Language to Vision and Back Again |
| Lecture 26 - Patrick Winston - Story Understanding |
| Lecture 27 - Tom Mitchell - Neural Representations of Language |
| Unit 6. Social Intelligence |
| Lecture 28 - Nancy Kanwisher - Introduction to Social Intelligence |
| Lecture 29 - Ken Nakayama - The Social Mind |
| Lecture 30 - Rebecca Saxe - MVPA: Window on the Mind via fMRI, Part 1 |
| Lecture 31 - Rebecca Saxe - MVPA: Window on the Mind via fMRI, Part 2 |
| Unit 7. Audition and Speech |
| Lecture 32 - Josh McDermott - Introduction to Audition, Part 1 |
| Lecture 33 - Josh McDermott - Introduction to Audition, Part 2 |
| Lecture 34 - Nancy Kanwisher - Human Auditory Cortex |
| Lecture 35 - Hynek Hermansky - Auditory Perception in Speech Technology, Part 1 |
| Lecture 36 - Hynek Hermansky - Auditory Perception in Speech Technology, Part 2 |
| Lecture 37 - Panel - Vision and Audition |
| Unit 8. Robotics |
| Lecture 38 - Russ Tedrake - MIT's Entry in the DARPA Robotics Challenge |
| Lecture 39 - John Leonard - Mapping, Localization, and Self-Driving Vehicles |
| Lecture 40 - Tony Prescott - Control Architecture in Mammals and Robots |
| Lecture 41 - Stefanie Tellex - Human-Robot Collaboration |
| Lecture 42 - Giorgio Metta - Introduction to the iCub Robot |
| Lecture 43 - iCub Team - Overview of Research on the iCub Robot |
| Lecture 44 - Panel: Robotics |
| Unit 9. Theory of Intelligence |
| Lecture 45 - Tomaso Poggio - iTheory: Visual Cortex and Deep Networks |
| Lecture 46 - Surya Ganguli - Statistical Physics of Deep Learning |
| Lecture 47 - Haim Sompolinsky - Sensory Representations in Deep Networks |
| Related Links |
Res.9-003 Brains, Minds and Machines
Instructors: Prof. Tomaso Poggio (Course Director, MIT) and Prof. 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.
|