Name: Models of the Mind
ISBN: 9781472966469

Models of the Mind

"The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could 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 readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain - the individual neuron - through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command.

What Hacker News says

igleriaJan 2025

This is excellent. Since reading https://books.google.de/books/about/Models_of_the_Mind.html?... I've been expecting someone to start looking back into biology to try to move forward. I guess the poster is one of the authors. Kudos!

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slowmovintargetSep 2024

The real reason to sleep on it is that the hippocampus plays back the day's events into your long-term memory and omits the emotional context so that when you recall it, any emotion you have is fresh reaction, and recollection that you felt a certain way, but not a replay of the sharp emotions at the time the events occurred.

So sleeping on it is a way to wash the crud off the occurrence before reexamining it with a little more objectivity.

I read about this in Models of the Mind by Grace Lindsay. Great book.

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slowmovintargetJun 2023

This story is told in part in Models of the Mind by Grace Lindsay (excellent read on neurobiology and it's echo in computer science: ML).

Really interesting to read about.

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mattkrauseFeb 2023

Thanks-that's what we were aiming for!

Are you interested in anything specific? Neuroscience is an absolutely massive field. At one end of my department, some folks are poking at the atomic structure of individual ion channels; at the other, people are looking at how social factors affect the brain and vice versa. It's hard to think of any one book that does it all justice.

On the other hand, there's been a flood of interesting books lately, so there's almost certainly something for you. Since you're on HN, you might like Grace Lindsay's Models of the Mind. It's about using math and physics to probe the brain, but it's a nice light read that focuses on analogies; no walls of impenetrable equations. If you like this, there are a ton of books that dive more deeply into the math to read next.

I've heard good things about Luiz Pessoa's The Entangled Brain, but haven't read it. It's more general neuroscience than focused on applications of math. People love Gyorgy Buzsaki's books Rhythms of the Brain and The Brain from Inside Out. I couldn't really get into them, in part because he was--loudly--wrong about the brain stim stuff in that article--but that's more of a personal beef.

If you want something more like a textbook, the standard is Kandel's Principles of Neural Science. It touches on almost everything, though often not in a particularly exciting or up-to-date way. It's not the worst book for a class, but it'd be a slog to power through in bed. Instead, I'd recommend Levitan and Kaczmarek's The Neuron: Cell and Molecular Biology. It covers a bit less (individual cells up through small neural networks), but I like the writing a lot more.

Another approach might be some hybrid science-biographies. These include Lessons from the Lobster, which is about Eve Marder and her work. The lobster stomach is a really fascinating circuit: seemingly simple, but capable of really complex behavior. The principles she worked out there have huge implications for more complex brains (like ours). Similarly, Brain and Visual Perception is about how David Hubel and Torsten Wiesel worked out some of the circuits in primary visual cortex--and won the Nobel Prize. I have not read Jill Bolte Taylor's My Stroke of Insight, but people seem to like it. It's about a brain anatomist realizing that she's having a stroke. Oliver Sacks' books are probably the standard bearer in this category. Some of the explanations are a bit dated, especially in The Man Who Mistook His Wife for a Hat (understandable, as it's from 1985), but the descriptions of the symptoms are fascinating.

Some anti-recommendations: I'd avoid Rodger Penrose's The Emperor's New Mind. It did get me interested in moving from CS to Neuro, but its explanations are, to put it EXTREMELY charitably, not very mainstream. Jeff Hawkin's book is not nearly as far out there, but his ideas also don't have a lot of traction. Stephen Grossberg's stuff is very polarizing: some ideas are very interesting, but also sometimes presented in ways that don't tie in well with the rest of the field, so I wouldn't start there.

That's a random walk through my reading list! If you're interested in a particular niche, let me know. There's also cool stuff about drugs, weird animals, sensation, etc...

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justinpombrioNov 2018

> instead of reading it cover to cover

Yes! I also highly recommend the book, but it is a technical manual for the mind. If you try to read it cover-to-cover, most of what you read is going to be meditation techniques that are months or years away from being useful to you, and models of the mind that are far removed from your current experiences.

Like, feel free to read the whole thing if you want to, but be aware that it's akin to reading the C++ spec as a beginning programmer. The mind isn't simple.

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