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Publisher's Summary

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.

©2021 Grace Lindsay (P)2021 Tantor

What listeners say about Models of the Mind

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Unique take on neuroscience

I’ve been interested in neuroscience for a while, but sometimes, books on the topic aren’t written for the average person. I’ve heard a lot of talk about this book from Grace Lindsay, so I decided to check it out even though I’m not much of a math guy, which scared me even more. Fortunately, Grace did an incredible job of making this book accessible to the average reader like myself. Throughout the book, the author not only breaks down complex topics, but you also learn the history of neuroscience as well as how mathematics and models have helped us understand the brain. There were still a few parts that I didn’t quite grasp, but for the most part, I was able to keep up, so I think many people would enjoy this book if they’re interested in the brain. Some of my favorite chapters were in the realm of topics I’m more familiar with such as reward-based learning, decision making, and some others. So, if you like this topic at all or are curious to get into it, I’m sure you’ll enjoy this book.

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ENGAGING

Good 👍 stuff and wide ranging perspectives luckily presented and reviews in a comfortable mannety

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content is great. The reader is slow and pedantic

Just speed up the reader to 1.25 and you'll be fine. Content wise, a very well described history and present state of the art of computational neuroscience. I will try to incorporate it into a course.

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  • Don O'treply
  • 05-29-21

An informative, engaging and balanced overview

I very much enjoyed this overview of many approaches to understanding and describing the workings of the mind.
The historical contextualisation is informative and memorable, and the careful consideration of methodological issues is particularly insightful.