Learn · MIT OpenCourseWare

Collage of three images: (1) side view of human brain, with several regions highlighted; (2) a "tree diagram" illustrating how a street scene can be decomposed into various parts; (3) photo of a head and arms of a humanoid robot.

CourseRES.9-00352 lectures40 h 11 min

Brains, Minds and Machines Summer Course

Prof. Tomaso Poggio and Prof. Gabriel Kreiman · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

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. Materials are drawn from the Brains, Minds and Machines Summer Course offered annually at the Marine Biological Laboratory in Woods Hole, MA, taught by faculty affiliated with the Center for Brains, Minds and Machines headquartered at MIT. Elements of the summer course are integrated into the MIT course, 9.523 Aspects of a Computational Theory of Intelligence.

Contributors

This course includes the contributions of many instructors, guest speakers, and a team of iCub researchers. See the complete list of contributors.

Lectures

Introduction

  1. Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, & Machines 12 min · Video

Unit 1. Neural Circuits of Intelligence

  1. Lecture 1.1: Nancy Kanwisher - Human Cognitive Neuroscience 47 min · Video
  2. Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback 56 min · Video
  3. Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1 1 h 3 min · Video
  4. Lecture 1.4: James DiCarlo - Neural Mechanisms of Recognition Part 2 52 min · Video
  5. Lecture 1.5: Winrich Freiwald - Primates, Faces, & Intelligence 1 h · Video
  6. Lecture 1.6: Matt Wilson - Hippocampus, Memory, & Sleep Part 1 52 min · Video
  7. Lecture 1.7: Matt Wilson - Hippocampus, Memory, & Sleep Part 2 29 min · Video
  8. Seminar 1: Larry Abbott - Mind in the Fly Brain 53 min · Video

Unit 2. Modeling Human Cognition

  1. Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1 1 h 2 min · Video
  2. Lecture 2.2: Josh Tenenbaum - Computational Cognitive Science Part 2 1 h 11 min · Video
  3. Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3 1 h 7 min · Video

Unit 3. Development of Intelligence

  1. Lecture 3.1: Liz Spelke - Cognition in Infancy Part 1 1 h 4 min · Video
  2. Lecture 3.2: Liz Spelke - Cognition in Infancy Part 2 46 min · Video
  3. Lecture 3.3: Alia Martin - Developing an Understanding of Communication 47 min · Video
  4. Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information 56 min · Video
  5. Seminar 3: Jessica Sommerville - Infants' Sensitivity to Cost and Benefit 40 min · Video
  6. Lecture 3.5: Josh Tenenbaum - The Child as Scientist 31 min · Video
  7. Unit 3 Debate: Tomer Ullman & Laura Schulz 1 h 17 min · Video

Unit 4. Visual Intelligence

  1. Lecture 4.1: Shimon Ullman - Development of Visual Concepts 59 min · Video
  2. Lecture 4.2: Shimon Ullman - Atoms of Recognition 50 min · Video
  3. Lecture 4.3: Aude Oliva - Predicting Visual Memory 1 h · Video
  4. Seminar 4.1: Eero Simoncelli - Probing Sensory Representations 57 min · Video
  5. Seminar 4.2: Amnon Shashua - Applications of Vision 57 min · Video

Unit 5. Vision and Language

  1. Lecture 5.1: Boris Katz - Vision and Language 55 min · Video
  2. Lecture 5.2: Andrei Barbu - From Language to Vision and Back Again 1 h 6 min · Video
  3. Lecture 5.3: Patrick Winston - Story Understanding 1 h 1 min · Video
  4. Seminar 5: Tom Mitchell - Neural Representations of Language 47 min · Video

Unit 6. Social Intelligence

  1. Lecture 6.1: Nancy Kanwisher - Introduction to Social Intelligence 28 min · Video
  2. Lecture 6.2: Ken Nakayama - The Social Mind 48 min · Video
  3. Lecture 6.3: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 1 53 min · Video
  4. Lecture 6.4: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 2 35 min · Video

Unit 7. Audition and Speech

  1. Lecture 7.1: Josh McDermott - Introduction to Audition Part 1 1 h 6 min · Video
  2. Lecture 7.2: Josh McDermott - Introduction to Audition Part 2 46 min · Video
  3. Lecture 7.3: Nancy Kanwisher - Human Auditory Cortex 18 min · Video
  4. Lecture 7.4: Hynek Hermansky - Auditory Perception in Speech Technology Part 1 1 h 4 min · Video
  5. Lecture 7.5: Hynek Hermansky - Auditory Perception in Speech Technology Part 2 1 h 2 min · Video
  6. Unit 7 Panel: Vision and Audition 1 h 7 min · Video

Unit 8. Robotics

  1. Lecture 8.1: Russ Tedrake - MIT's Entry in the DARPA Robotics Challenge 27 min · Video
  2. Lecture 8.2: John Leonard - Mapping, Localization, & Self-Driving Vehicles 32 min · Video
  3. Lecture 8.3: Tony Prescott - Control Architecture in Mammals and Robots 33 min · Video
  4. Lecture 8.4: Stefanie Tellex - Human-Robot Collaboration 25 min · Video
  5. Lecture 8.5: Giorgio Metta - Introduction to the iCub Robot 35 min · Video
  6. Lecture 8.6: iCub Team - Overview of Research on the iCub Robot 1 h 6 min · Video
  7. Unit 8 Panel: Robotics 56 min · Video

Unit 9. Theory of Intelligence

  1. Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks 47 min · Video
  2. Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning 1 h 4 min · Video
  3. Lecture 9.2: Haim Sompolinsky - Sensory Representations in Deep Networks 54 min · Video

Projects

  1. Nick Cheney: Capturing Neural Plasticity in Deep Networks 4 min · Video
  2. Danny Jeck: Impact of Attention on Cortical Models of Visual Recognition 3 min · Video
  3. Alon Baram & Laurie Bayet: Learning to Recognize Digits and Faces from Few Examples 5 min · Video
  4. David Rolnick & Ishita Dasgupta: Modeling Dynamic Memory with Hopfield Networks 4 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Brain and Cognitive Sciences
Taught by
Prof. Tomaso Poggio, Prof. Gabriel Kreiman
Term
Summer 2015
Level
Graduate
Language
English
Subjects
Biology, Medicine and health, Computer science, Engineering, Psychology and the brain, Society and politics
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Tomaso Poggio, Prof. Gabriel Kreiman. Brains, Minds and Machines Summer Course. Summer 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
Who can watch
MIT OpenCourseWare gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed