Stochastic Methods In Neuroscience
by Carlo Laing /
2010 / English / PDF
50.6 MB Download
Computational or mathematical neuroscience is a research area currently of great interest, due to, amongst other factors, rapid increases in computing power, increases in the ability to record large amounts of neurophysiological data, and a realisation amongst both neuroscientists and mathematicians that each can benefit from collaborating with the other. This text will concentrate on the intersection between stochastic dynamics and neuroscience, presenting aseries of self-contained chapters on major aspects of noise and neuroscience, each written by an expert in their particular field. These range over Markov chain models for ion channel release, stochastically forced single neurons and population of neurons, statistical methods for parameter estimation,and the numerical approximation these models. Aimed at graduates and researchers in computational neuroscience and stochastic systems, each chapter will give an overview of a particular topic, including its history, important results in the area and future challenges.
