Chapter
Learning and Inference in Biological and Artificial Neural Networks
1:27:17 - 1:31:01 (03:43)
This podcast episode discusses the process of learning versus the process of inference in both biological and artificial neural networks, and highlights the importance of experience in learning.
Clips
This podcast discusses the efficiency of the human brain in learning compared to artificial neural networks, which need a lot of data and are less efficient.
1:27:17 - 1:28:17 (01:00)
Summary
This podcast discusses the efficiency of the human brain in learning compared to artificial neural networks, which need a lot of data and are less efficient. The speaker emphasizes the importance of the continuous learning process of the brain.
ChapterLearning and Inference in Biological and Artificial Neural Networks
EpisodeJeff Hawkins: Thousand Brains Theory of Intelligence
PodcastLex Fridman Podcast
The neocortex in the brain has cycles of activity that enable it to separate different populations of cells and determine whether or not something is new or familiar.
1:28:17 - 1:30:22 (02:05)
Summary
The neocortex in the brain has cycles of activity that enable it to separate different populations of cells and determine whether or not something is new or familiar.
ChapterLearning and Inference in Biological and Artificial Neural Networks
EpisodeJeff Hawkins: Thousand Brains Theory of Intelligence
PodcastLex Fridman Podcast
This podcast episode dives deep into the neuroscience behind how the brain learns and retains information, including the difference between continuous and fast learning.
1:30:22 - 1:31:01 (00:38)
Summary
This podcast episode dives deep into the neuroscience behind how the brain learns and retains information, including the difference between continuous and fast learning.