Biomedical Engineering Reference
In-Depth Information
Chapter 1
ATheoreticalOverview
Henry C Tuckwell 1 , and Jianfeng Feng 2
1 Epidemiology and Information Science, Faculty of Medicine St Antoine, University
of Paris 6, 27 rue Chaligny, 75012 Paris, France, 2 Department of Informatics,
University of Sussex, Brighton BN1 9QH, U.K.
CONTENTS
1.1 Introduction
1.2 Deterministic dynamical systems
1.2.1 Basicnotationandtechniques
1.2.2 Single neuron modelling
1.2.3 Phasemodel
1.3 Stochastic dynamical systems
1.3.1 Jumpprocesses
1.3.2 Diffusionprocesses
1.3.3 Jump-diffusionmodels
1.3.4 Perturbation of deterministic dynamical systems
1.4 Informationtheory
1.4.1 Shannon information
1.4.2 Mutualinformation
1.4.3 Fisherinformation
1.4.4 Relationship between the various measurements of information
1.5 Optimalcontrol
1.5.1 Optimalcontrolofmovement
1.5.2 Optimalcontrolofsingleneuron
References
1.1
Introduction
This chapter contains a mathematical foundation for the chapters follow. Compu-
tational neuroscience is a highly interdisciplinary subject and various mathematical
languages are used to deal with the problems which arise. We sketch a mathemat-
ical foundation and provide references which can be consulted for further details.
We also demonstrate how to mathematically and rigorously formulate certain neuro-
science problems. The basic topics we intend to cover are deterministic dynamical
 
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