Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. . Fully revised material and corrected text . Additional chapters on extracellular potentials, motion detection and neurovascular coupling . Revised selection of exercises with solutions . More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts INDICE: 1. Introduction 2. The Passive Isopotential Cell 3. Differential Equations 4. The Active Isopotential Cell 5. The Quasi-Active Isopotential Cell 6. The Passive Cable 7. Fourier Series and Transforms 8. The Passive Dendritic Tree 9. The Active Dendritic Tree 10. Extracellular Potential 11. Reduced Single Neuron Models 12. Probability and Random Variables 13. Synaptic Transmission and Quantal Release 14. Neuronal Calcium Signaling 15. Energy, Metabolism and Neuro-Vascular Coupling 16. The Singular Value Decomposition and Applications 17. Quantification of Spike Train Variability 18. Stochastic Processes 19. Membrane Noise20. Power and Cross Spectra 21. Natural Light Signals and Phototransduction22. Firing Rate Codes and Early Vision 23. Models of Simple and Complex Cells 24. Motion Detection 25. Stochastic Estimation Theory 26. Reverse-Correlation and Spike Train Decoding 27. Signal Detection Theory 28. Relating Neuronal Responses and Psychophysics 29. Population Codes 30. Neuronal Networks
- ISBN: 978-0-12-801895-8
- Editorial: Academic Press
- Encuadernacion: Cartoné
- Páginas: 560
- Fecha Publicación: 01/03/2017
- Nº Volúmenes: 1
- Idioma: Inglés