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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| Materialtyp: | Elektronisk E-bok |
| Språk: | engelska |
| Publicerad: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Upplaga: | 2nd ed. 2024. |
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| Länkar: | https://doi.org/10.1007/978-3-031-75705-1 |
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| 100 | 1 | |a Mallot, Hanspeter A. |e author. |0 (orcid)0000-0003-4208-4348 |1 https://orcid.org/0000-0003-4208-4348 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Computational Neuroscience |h [electronic resource] : |b An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks / |c by Hanspeter A. Mallot. |
| 250 | |a 2nd ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XIII, 280 p. 109 illus.). |b 74 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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 theory, receptive fields and their specificity for important stimulus dimensions, Fourier analysis for neuroscientists, pattern recognition and self-organization in neural networks, and the structure of neural representations. The second edition includes revised text and figures for improved readability and completeness. Key points are highlighted throughout to help readers keep track of central ideas. Researchers in the field of neuroscience with backgrounds in biology, psychology, or medicine will find this book particularly beneficial. It is also an invaluable reference for all neuroscientists who use computational methods in their daily work. Whether you are a theoretical scientist approaching the field or an experienced practitioner seeking to deepen your understanding, "Computational Neuroscience - An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks" offers a comprehensive guide to mastering the fundamentals of this dynamic discipline. . | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Computational neuroscience. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Neurosciences. | |
| 650 | 0 | |a Neural networks (Neurobiology). | |
| 650 | 0 | |a Neural circuitry. | |
| 650 | 1 | 4 | |a Computational Neuroscience. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Neuroscience. |
| 650 | 2 | 4 | |a Systems Neuroscience. |
| 650 | 2 | 4 | |a Neural Circuits. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031757044 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031757068 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031757075 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-75705-1 |
| 912 | |a ZDB-2-SBL | ||
| 912 | |a ZDB-2-SXB | ||
| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||