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Synopsis
A comprehensive overview of the modelling and analysis of noisy neural systems, suitable for graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in this exciting research area.
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About the Author
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 J. 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.
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Stochastic Methods in Neuroscience
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Stochastic Methods in Neuroscience
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