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Introduction
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Classroom Contents
Differences Between Neural Networks and the Brain
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- 1 Introduction
- 2 Brain vs Neural Networks
- 3 Representation
- 4 Learning
- 5 Tasks
- 6 Object learning
- 7 Some models are useful
- 8 We need concrete tasks
- 9 Visual recognition
- 10 Oneshot learning
- 11 Machine learning
- 12 Complex models
- 13 Dendritic integration
- 14 Complexity vs independence
- 15 The brain as our ultimate task
- 16 Computer vision
- 17 Statistical thermodynamics
- 18 Statistical mechanics
- 19 Patterns of inheritance
- 20 Speciesspecific models
- 21 What are the next challenges
- 22 Quantum mechanics
- 23 Generalizable insight
- 24 Analog computing
- 25 Conclusion
