Chapter
Neural Networks and Perception
39:45 - 44:48 (05:02)
This episode discusses how the brain utilizes neural networks to perceive objects in the world, using the example of recognizing a coffee cup through different senses and perspectives.
Clips
This podcast discusses the various models of perception, including auditory, visual, and tactile models, that are invoked when processing sensory information such as a cup.
39:45 - 41:49 (02:04)
Summary
This podcast discusses the various models of perception, including auditory, visual, and tactile models, that are invoked when processing sensory information such as a cup.
ChapterNeural Networks and Perception
EpisodeJeff Hawkins: Thousand Brains Theory of Intelligence
PodcastLex Fridman Podcast
The brain's cortex is composed of multiple columns, each guessing what the senses are detecting.
41:49 - 43:18 (01:28)
Summary
The brain's cortex is composed of multiple columns, each guessing what the senses are detecting. This allows the brain to have multiple interpretations of the same object or stimulus.
ChapterNeural Networks and Perception
EpisodeJeff Hawkins: Thousand Brains Theory of Intelligence
PodcastLex Fridman Podcast
The neocortex processes various sensory inputs from different locations and columns to recognize objects.
43:18 - 44:48 (01:29)
Summary
The neocortex processes various sensory inputs from different locations and columns to recognize objects. Regions linked to language, high-level thought and mathematics in the neocortex are structured like those that process vision, hearing and touch.