Computational Neuroscience An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks /
This book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and information coding. The chapters cover topics such as membrane potentials, the Hodgkin-Huxley th...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edizione: | 2nd ed. 2024. |
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| Accesso online: | https://doi.org/10.1007/978-3-031-75705-1 |
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Sommario:
- Chapter 1. Excitable Membranes and Neural Conduction
- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing
- Chapter 3. Functional Models of Receptive Fields
- Chapter 4. Fourier Analysis for Neuroscientists
- Chapter 5. Artificial Neural Networks and Classification
- Chapter 6. Artificial Neural Networks With Interacting Output Units
- Chapter 7. Coding and Representation.