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Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
Audiobook13 hours

Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain

Written by Grace Lindsay

Narrated by Wendy Tremont King

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About this audiobook

Grace Lindsay reveals the value of describing the machinery of neuroscience using the elegant language of mathematics.

The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate-and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it.

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, quantifying memory, and more. She introduces listeners to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology.
LanguageEnglish
Release dateMay 4, 2021
ISBN9781666106763
Author

Grace Lindsay

Grace Lindsay is an Assistant Professor of Psychology and Data Science at New York University. After completing her PhD in 2018 at the Center for Theoretical Neuroscience at Columbia University, she went on to a postdoctoral fellowship at University College London, where her research focused on building mathematical models exploring sensory processing. Before that, she earned a bachelor's 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.

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