
Models of the Mind
How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
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Narrated by:
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Wendy Tremont King
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By:
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Grace Lindsay
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.
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The author addresses studies inspired by observations of individual nerve cells, as well as analysis of electrical signal outputs from areas that fire in unison like a chorus of screaming demons. She ties it all together by referring to the history of information theory.
Readers can ponder the implications of a clear explanation of Baysean models of how prior knowledge weighs in to decision making calculations. The conversation about the tug and pull of grand unifying theories and practical applications is thought provoking. I enjoyed it.
Nice meta-analysis of neuroscience & AI
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Interesting and thought provoking book narrated brilliantly .
The only reason to put only 4 stars on the overall performance is the missing pdf file with the accompanying graphics.
Elegant review of neuroscience
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A must for those who want an introduction to the intersection of neuroscience and AI
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Great coverage
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content is great. The reader is slow and pedantic
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Unique take on neuroscience
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