Fundamentals of Computational Neuroscience 3rd Edition – Ebook Instant Download/Delivery ISBN(s): 9780192869364,0192869361,9780192696137, 0192696130
Product details:
- ISBN-10: 0192696130
- ISBN-13: 9780192696137
- Author: Thomas Trappenberg
The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies.
Table contents:
1. Introduction and outlook
2. Scientific programming with Python
3. Math and Stats
4. Neurons and conductance-based models
5. Integrate-and-fire neurons and population models
6. Associators and synaptic plasticity
7. Feed-forward mapping networks
8. Feature maps and competitive population coding
9. Recurrent associative networks and episodic memory
10. Modular networks and complementary systems
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