03831nam a22005895i 4500 978-3-031-75705-1 DE-He213 20251030114912.0 cr nn 008mamaa 241231s2024 sz | s |||| 0|eng d 9783031757051 978-3-031-75705-1 10.1007/978-3-031-75705-1 doi RC321-580 QH324.2-.25 PSAN bicssc SCI089000 bisacsh PSAN thema Mallot, Hanspeter A. author. aut http://id.loc.gov/vocabulary/relators/aut 89954 Computational Neuroscience [electronic resource] : An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks / by Hanspeter A. Mallot. 2nd ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIII, 280 p. 109 illus., 74 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. . Computational neuroscience. Computational intelligence. 64052 Neurosciences. 68384 Neural networks (Neurobiology). 79376 Neural circuitry. 86181 Computational Neuroscience. Computational Intelligence. 64052 Neuroscience. 68386 Systems Neuroscience. 79377 Neural Circuits. 86182 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031757044 Printed edition: 9783031757068 Printed edition: 9783031757075 https://doi.org/10.1007/978-3-031-75705-1 ZDB-2-SBL ZDB-2-SXB 66231 66231