Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. Fully revised material and corrected text Additional chapters on extracellular potentials, motion detection and neurovascular coupling Revised selection of exercises with solutions More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts
J Neurophysiology, 83(2):808–827, 2000. G. Laurent. ... J. Diff. Equat., 158:48–78, 1999. S. R. Lehky. An astable multivibrator model of binocular rivalry. Perception, 17:215–228, ... J. Magee, D. Hoffman, C. Colbert, and D. Johnston.
This book offers a lively exploration of the mathematics, physics, and neuroscience that underlie music.
In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, ...
The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering.
This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits.
Finally Nancy Cartwright and Alexandre Marcelles consider the alignment (or misalignment) of method and policy. Each of the essays is accompanied by a response from Suppes."
Washington, DC: US Department of Education Kieran, C. (1997). Mathematical concepts at the secondary school level: the learning of algebra and functions. In P. Bryant & T. Nunes (Eds.), Learning and Teaching Mathematics: An ...
Leopold Voss, Leipzig. Fechner, G.T., 1860. Elemente der Psychophysik. Breitkopf und Ha ̈rtel, Leipzig. Hecht, S.P., 1942. Energy, quanta, and vision. J. Gen. Physiol. 25, 819À840. Norton, T.T., Corliss, D.A., Bailey, J.E., 2002.
This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while.
This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience.