Res.9-003 Brains, Minds and Machines (Summer 2015, MIT OCW). Instructors: Prof. Tomaso Poggio (Course Director, MIT) and Prof.

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September 26, 2023

English

English [CC]

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 Curriculum

    • 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
    • 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 19 – Shimon Ullman – Development of Visual Concepts Unlimited
    • Lecture 20 – Shimon Ullman – Atoms of Recognition Unlimited
    • Lecture 21 – Aude Oliva – Predicting Visual Memory Unlimited
    • Lecture 22 – Eero Simoncelli – Probing Sensory Representations Unlimited
    • Lecture 23 – Amnon Shashua – Applications of Vision 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 28 – Nancy Kanwisher – Introduction to Social Intelligence Unlimited
    • Lecture 29 – Ken Nakayama – The Social Mind Unlimited
    • Lecture 30 – Rebecca Saxe – MVPA: Window on the Mind via fMRI, Part 1 Unlimited
    • Lecture 31 – Rebecca Saxe – MVPA: Window on the Mind via fMRI, Part 2 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 38 – Russ Tedrake – MIT’s Entry in the DARPA Robotics Challenge Unlimited
    • Lecture 39 – John Leonard – Mapping, Localization, and Self-Driving Vehicles Unlimited
    • Lecture 40 – Tony Prescott – Control Architecture in Mammals and Robots Unlimited
    • Lecture 41 – Stefanie Tellex – Human-Robot Collaboration Unlimited
    • Lecture 42 – Giorgio Metta – Introduction to the iCub Robot Unlimited
    • Lecture 43 – iCub Team – Overview of Research on the iCub Robot Unlimited
    • Lecture 44 – Panel: Robotics 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

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