Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Introduction
00:00 • 2min
Models of the Mind: How Physics, Engineering, and Mathematics Have Shaped Our Understanding of the Brain
02:02 • 3min
The Importance of a PhD in Neuroscience
05:04 • 2min
The Importance of a Neuroscience Degree
06:48 • 3min
How to Distil What You Know Into a Book
09:55 • 2min
The Evolution of Computational Neuroscience
12:03 • 3min
The Basic Building Blocks of the Brain
15:19 • 6min
The Differences Between Computational Neuroscience and Neurochemistry
21:15 • 3min
The Role of Neural Networks in Artificial Intelligence
23:57 • 5min
The Relationship Between Complexity and Artificial Intelligence
28:31 • 3min
The Black Box of the Brain
31:36 • 2min
The Unknowable Brain
33:15 • 2min
The Struggle to Understand the Complexity of the Brain
34:54 • 2min
How to Write a Book
37:08 • 4min
The Benefits of Visual Attention
41:38 • 4min
How to Be a Computational Neuroscientist
45:47 • 2min
The Importance of Parallel Modeling
47:34 • 2min
The Evolution of Computational Neuroscience
49:21 • 3min
The Future of Neuroscience
52:03 • 2min
The Future of Humanity
54:06 • 2min
The Importance of Prioritizing Data Fibers
56:15 • 2min