How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
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Grace Lindsay provides a masterful tour of this important frontier, tackling intimidating topics with verve and wit. * Sean Carroll * This is a remarkable book an excellent introduction to an area that few of us probably know anything about, and all the more fascinating because of that. * Popular Science * Models of the Mind is a grand tour through the history of computational neuroscience, from its humble beginnings in information theory and neuron structure up to its modern manifestations harnessing supercomputers to run large scale convolutional neural networks that model important brain systems. * Women You Should Know * The book is not only wide-ranging in its choice of topics but is also a lively journey through the history of these efforts and traces the lives of the eccentric and fascinating scientists who were instrumental in figuring out the brains working by using tools ranging from information theory and graph theory to Bayesian modeling and neural networks. * 3 Quarks Daily * Enthralling, erudite and accessible an engrossing history of science and an enlightening guide to neurosciences current frontiers. * Liam Drew, Neurobiologist and author of I, Mammal: The Story of What Makes Us Mammals * This book is an anthology of the scientific poetry that has illuminated our studies and conceptions of the brain. * Professor Larry Abbott, Center for Theoretical Neuroscience, Columbia University *
Grace Lindsay is a computational neuroscientist currently based at University College London. She completed her PhD at the Center for Theoretical Neuroscience at Columbia University, where her research focused on building mathematical models of how the brain controls sensory processing. Before that, she earned a bachelors degree in Neuroscience from the University of Pittsburgh and received a research fellowship to study at the Bernstein Center for Computational Neuroscience in Freiburg, Germany. She was awarded a Google PhD Fellowship in Computational Neuroscience in 2016 and has spoken at several international conferences.
1: Spherical Cows 2: How Neurons Get Their Spike 3: Learning to Compute 4: Making and Maintaining Memories 5: Excitation and Inhibition 6: Stages of Sight 7: Cracking the Neural Code 8: Movement in Low Dimensions 9: From Structure to Function 10: Making Rational Decisions 11: How Rewards Guide Actions 12: Grand Unified Theories of the Brain Mathematical Appendix Acknowledgements Bibliography Index