Stochastic Methods in Neuroscience

Informationen zum Autor Carlo Laing obtained his PhD in applied mathematics from the University of Cambridge. After post-doctoral positions in the UK, USA and Canada, he joined Massey University in Auckland, New Zealand, where he is currently a senior lecturer. His interests include nonlinear dynamical systems, particularly as applied in computational neuroscience.Gabriel Lord obtained his PhD from the University of Bath, UK. After a post-doctoral position at the University of Bristol and working for a time in industry he joined Heriot-Watt University in Edinburgh, UK. His research interests are in applied computational analysis, stochastic numerics and applications from computational neuroscience. Klappentext A text for graduates and researchers in computational neuroscience and stochastic systems, concentrating on the intersection between stochastic dynamics and neuroscience, through the presentation of a series of self-contained chapters on major aspects of noise and neuroscience, each written by an expert in their particular field. Zusammenfassung A text for graduates and researchers in computational neuroscience and stochastic systems, concentrating on the intersection between stochastic dynamics and neuroscience, through the presentation of a series of self-contained chapters on major aspects of noise and neuroscience, each written by an expert in their particular field.

Product details

• Authors: Carlo Laing, Carlo (EDT)/ Lord Laing
• Assisted by: Carlo Laing (Editor), Laing Carlo (Editor), Gabriel J Lord (Editor), Gabriel J. Lord (Editor)
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 29.09.2009
• EAN: 9780199235070
• ISBN: 978-0-19-923507-0
• No. of pages: 416
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; Wahrscheinlichkeitsrechnung und Statistik, SCIENCE / Life Sciences / Neuroscience, MATHEMATICS / Probability & Statistics / General, Angewandte Mathematik, MATHEMATICS / Applied, MEDICAL / Neuroscience, MATHEMATICS / Discrete Mathematics, Medical / Nursing, Neurosciences, Probability & statistics, Stochastics, Maths for computer scientists, Probability and statistics