Explore the fascinating world of computational neuroscience in this 25-minute video lecture. Delve into the complex functioning of biological neurons, discovering how they operate similarly to deep convolutional neural networks. Examine the physiological mechanisms behind neurons' impressive information processing capabilities. Learn about perceptrons, electrical excitability, action potentials, cable theory, and active dendritic properties. Uncover how human neurons can function as XOR gates and how single neurons can be viewed as deep neural networks. Gain insights from cutting-edge research in neuroscience and computational biology, supported by numerous scientific references. Perfect for students, researchers, and anyone interested in the intersection of neuroscience and artificial intelligence.
Dendrites: Why Biological Neurons Are Deep Neural Networks
Overview
Syllabus
Introduction
- Perceptrons
- Electrical excitability and action potential
- Cable theory: passive dendrites
- Active dendritic properties
- Human neurons as XOR gates
- Single neurons as deep neural networks
- Brilliant
- Recap and outro
Taught by
Artem Kirsanov
