Learn · Brains, Minds and Machines Summer Course

Lecture 16 of 52Unit 3. Development of Intelligence56 min

Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information

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

At MIT OpenCourseWare Transcript

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From
Brains, Minds and Machines Summer Course, Massachusetts Institute of Technology (at MIT OpenCourseWare)
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
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.
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All the lectures

  1. Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, & Machines 12 min · Video
  2. Lecture 1.1: Nancy Kanwisher - Human Cognitive Neuroscience 47 min · Video
  3. Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback 56 min · Video
  4. Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1 1 h 3 min · Video
  5. Lecture 1.4: James DiCarlo - Neural Mechanisms of Recognition Part 2 52 min · Video
  6. Lecture 1.5: Winrich Freiwald - Primates, Faces, & Intelligence 1 h · Video
  7. Lecture 1.6: Matt Wilson - Hippocampus, Memory, & Sleep Part 1 52 min · Video
  8. Lecture 1.7: Matt Wilson - Hippocampus, Memory, & Sleep Part 2 29 min · Video
  9. Seminar 1: Larry Abbott - Mind in the Fly Brain 53 min · Video
  10. Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1 1 h 2 min · Video
  11. Lecture 2.2: Josh Tenenbaum - Computational Cognitive Science Part 2 1 h 11 min · Video
  12. Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3 1 h 7 min · Video
  13. Lecture 3.1: Liz Spelke - Cognition in Infancy Part 1 1 h 4 min · Video
  14. Lecture 3.2: Liz Spelke - Cognition in Infancy Part 2 46 min · Video
  15. Lecture 3.3: Alia Martin - Developing an Understanding of Communication 47 min · Video
  16. Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information 56 min · Video
  17. Seminar 3: Jessica Sommerville - Infants' Sensitivity to Cost and Benefit 40 min · Video
  18. Lecture 3.5: Josh Tenenbaum - The Child as Scientist 31 min · Video
  19. Unit 3 Debate: Tomer Ullman & Laura Schulz 1 h 17 min · Video
  20. Lecture 4.1: Shimon Ullman - Development of Visual Concepts 59 min · Video
  21. Lecture 4.2: Shimon Ullman - Atoms of Recognition 50 min · Video
  22. Lecture 4.3: Aude Oliva - Predicting Visual Memory 1 h · Video
  23. Seminar 4.1: Eero Simoncelli - Probing Sensory Representations 57 min · Video
  24. Seminar 4.2: Amnon Shashua - Applications of Vision 57 min · Video
  25. Lecture 5.1: Boris Katz - Vision and Language 55 min · Video
  26. Lecture 5.2: Andrei Barbu - From Language to Vision and Back Again 1 h 6 min · Video
  27. Lecture 5.3: Patrick Winston - Story Understanding 1 h 1 min · Video
  28. Seminar 5: Tom Mitchell - Neural Representations of Language 47 min · Video
  29. Lecture 6.1: Nancy Kanwisher - Introduction to Social Intelligence 28 min · Video
  30. Lecture 6.2: Ken Nakayama - The Social Mind 48 min · Video
  31. Lecture 6.3: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 1 53 min · Video
  32. Lecture 6.4: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 2 35 min · Video
  33. Lecture 7.1: Josh McDermott - Introduction to Audition Part 1 1 h 6 min · Video
  34. Lecture 7.2: Josh McDermott - Introduction to Audition Part 2 46 min · Video
  35. Lecture 7.3: Nancy Kanwisher - Human Auditory Cortex 18 min · Video
  36. Lecture 7.4: Hynek Hermansky - Auditory Perception in Speech Technology Part 1 1 h 4 min · Video
  37. Lecture 7.5: Hynek Hermansky - Auditory Perception in Speech Technology Part 2 1 h 2 min · Video
  38. Unit 7 Panel: Vision and Audition 1 h 7 min · Video
  39. Lecture 8.1: Russ Tedrake - MIT's Entry in the DARPA Robotics Challenge 27 min · Video
  40. Lecture 8.2: John Leonard - Mapping, Localization, & Self-Driving Vehicles 32 min · Video
  41. Lecture 8.3: Tony Prescott - Control Architecture in Mammals and Robots 33 min · Video
  42. Lecture 8.4: Stefanie Tellex - Human-Robot Collaboration 25 min · Video
  43. Lecture 8.5: Giorgio Metta - Introduction to the iCub Robot 35 min · Video
  44. Lecture 8.6: iCub Team - Overview of Research on the iCub Robot 1 h 6 min · Video
  45. Unit 8 Panel: Robotics 56 min · Video
  46. Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks 47 min · Video
  47. Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning 1 h 4 min · Video
  48. Lecture 9.2: Haim Sompolinsky - Sensory Representations in Deep Networks 54 min · Video
  49. Nick Cheney: Capturing Neural Plasticity in Deep Networks 4 min · Video
  50. Danny Jeck: Impact of Attention on Cortical Models of Visual Recognition 3 min · Video
  51. Alon Baram & Laurie Bayet: Learning to Recognize Digits and Faces from Few Examples 5 min · Video
  52. David Rolnick & Ishita Dasgupta: Modeling Dynamic Memory with Hopfield Networks 4 min · Video