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MATLAB for Neuroscientists, 2nd Edition by Nicholas G. Hatsopoulos, Adam Seth Dickey, Tanya I. Baker, Marc D. Benayoun, Michael E. Lusignan, Pascal Wallisch

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Chapter 36

Neural Networks Part I

Unsupervised Learning

This chapter has two goals that are of equal importance. The first goal is to become familiar with the general concept of unsupervised neural networks and how they may relate to certain forms of synaptic plasticity in the nervous system. The second goal is to learn how to build two common forms of unsupervised neural networks to solve a classification problem.

Keywords

neural networks; unsupervised learning rules; Long-Term Potentiation; linear associator; Hebbian learning rule

36.1 Goals of This Chapter

This chapter has two goals that are of equal importance. The first goal is to become familiar with the general concept of unsupervised neural networks and how they may relate to certain forms ...

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