Imperial College London
Portrait Picture

Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Faisal:2010:acprof:oso/9780199235070.003.0011,
author = {Faisal, AA},
booktitle = {Stochastic Methods in Neuroscience},
doi = {acprof:oso/9780199235070.003.0011},
title = {Stochastic Simulation of Neurons, Axons, and Action Potentials},
url = {http://dx.doi.org/10.1093/acprof:oso/9780199235070.003.0011},
year = {2010}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - Variability is inherent in neurons. To account for variability we have to make use of stochastic models. We will take a look at this biologically more rigorous approach by studying the fundamental signal of our brain's neurons: the action potential and the voltage-gated ion channels mediating it. We will discuss how to model and simulate the action potential stochastically. We review the methods and show that classic stochastic approximation methods fail at capturing important properties of the highly nonlinear action potential mechanism, making the use of accurate models and simulation methods essential for understanding the neural code. We will review what stochastic modelling has taught us about the function, structure, and limits of action potential signalling in neurons, the most surprising insight being that stochastic effects of individual signalling molecules become relevant for whole-cell behaviour. We suggest that most of the experimentally observed neuronal variability can be explained from the bottom-up as generated by molecular sources of thermodynamic noise.
AU  - Faisal,AA
DO  - acprof:oso/9780199235070.003.0011
PY  - 2010///
SN  - 9780199235070
TI  - Stochastic Simulation of Neurons, Axons, and Action Potentials
T1  - Stochastic Methods in Neuroscience
UR  - http://dx.doi.org/10.1093/acprof:oso/9780199235070.003.0011
ER  -
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