Mathematics for neuroscientists /
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam ; Boston :
Elsevier/Academic Press,
2010.
|
| Subjects: |
Table of Contents:
- 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.