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Mathematics for neuroscientists /
This book provides a grounded introduction to the fundamental concepts of mathematics, neuroscience and their combined use, thus providing the reader with a springboard to cutting-edge research topics and fostering a tighter integration of mathematics and neuroscience for future generations of stude...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier Academic Press,
2010.
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| Edición: | 1st ed. |
| Colección: | Elsevier science & technology books.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Passive isopotential cell
- Differential equations
- Active isopotential cell
- Quasi-active isopotential cell
- Passive cable
- Fourier series and transforms
- Passive dendritic tree
- Active dendritic tree
- Reduced single neuron models
- Probability and random variables
- Synaptic transmission and quantal release
- Neuronal calcium signaling
- Singular value decomposition and applications
- Quantification of spike train variability
- Stochastic processes
- Membrane noise
- Power and cross spectra
- Natural light signals and phototransduction
- Firing rate codes and early vision
- Models of simple and complex cells
- Stochastic estimation theory
- Reverse-correlation and spike train decoding
- Signal detection theory
- Relating neuronal responses and psychophysics
- Population codes
- Neuronal networks
- Solutions to selected exercises.