The Emergent Mind: How Intelligence Arises in People and Machines

by Gaurav Suri, Jay McClelland

When we are trying to solve a problem, what happens? We weigh arguments or rely on intuition before reaching a conscious decision. But what is going on behind the scenes?

In The Emergent Mind, Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks—initially developed as models of ourselves—have become the engines of artificial neural intelligence. Suri and McClelland aren’t reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas—a mind—whether in humans or computers.

The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what is a mind?

Genres: Artificial Intelligence, Science, Neuroscience, Psychology, Nonfiction, Philosophy

368 pages, Paperback

First published October 21, 2025

Reviews

[Anna]

I understand that it must be tricky, as a scientist, to find the right way of explaining to a reader that’s not another scientist like you. You don’t want to make it too hard so it goes over your reader’s head, but that could easily make you fall into the trap that I felt these two fell into, to sound slightly condescending. It’s not their fault, their editor should have been able to pick this up.

[Nathanael · Rating 5 out of 5]

The Emergent Mind explores how we learn, why we make decisions, how our thoughts relate to our actions, and what ultimately differentiates us from AI. All of this is presented in an engaging and easy-to-follow way.

This was probably my favorite book of 2025. Though, I did not have time to read many books this year, but the way this one was written — and the topics it covered — really impressed me.

I may have been slightly biased going in, since I had previously listened to the EconTalk episode featuring the author. The metaphor of water flowing down a mountain and gradually forming connections felt especially fitting for how neural pathways develop over time. As a hiker myself, it is beautiful to see this metaphor.

I think the definition for "learning" is too broad however. In Chapter 10 (“Our Emergent Thoughts”) it was written that we may learn while unconscious. The study cited seemed to demonstrate priming in anesthetized patients rather than learning in the sense of longer-term memory building. While priming may be an early step — involving neural activation without conscious awareness — I don’t think it qualifies as knowledge acquisition. If it did, we might also expect things like language learning during sleep, which current evidence does not support.

That said, this disagreement only made the book more interesting and pushed me to think more deeply about the topic. I will definitely keep reading on this topic. Overall, a thought-provoking and highly enjoyable read.

[Mischa · Rating 2 out of 5]

To start, I am not a scientist. I am aware that some of my thoughts on this book can be wrong, uninformed and coming from not understanding this piece of work properly. However, considering this book is also meant for the general population, I will just go ahead to add my two cents:

- the concept is not properly explained. At the start the authors mention the neural network is only a model, not actual view of the brain, but then, during the entire book, they proceed to speak of it as if it was literal. Like they quite specifically speak in the sense that "this is exactly how the brain works!!". Make up your mind maybe? I can take a guess as to why this is written like this, sure. But as a "noob" into this topic, I cannot know what EXACTLY you mean as authors unless you specifically explain it. This is especially important when the book is on such a topic that you do not meet with in everyday life. I have studied journalism and sociology, I am not entirely a stranger to the concept of models, and even I had issues with this - much less a potential reader who has not met with these topics, ever. When you leave your audience wondering whether the BASIC idea of your concept is literal or not, you've already lost them.
- I do not think I've ever read a more boring book. It's not due to the concept, but the writing was just putting me to sleep, and it didn't matter what time of the day it was or where I was. This is not a scientific article, this is a book meant also for general population to buy and read, but it's so full of science-speak and expert phrases that for someone who has not studied this subject, the book just reads so bad.
- most of the book sources consist of other pieces of work of Suri and McClelland, so it's not exactly giving it too much of credibility when it comes to "you can double check this info from other sources" kind of thing. I believe they're trusted scientists in their own rights, but as a reader who does not know them, I cannot treat a scientific study on a "trust me bro" basis.

[Richard Thompson · Rating 3 out of 5]

The basic premise of this book is that our minds are fundamentally neural networks. It doesn't say that is all that they are; there are many other aspects of our minds that we don't understand. But the neural network model seems to be close in many ways to how nerve cells connect and has an explanatory power for rational and irrational behaviors that goes beyond models based on systems of rules or more traditional explanations of how the mind takes in sense impressions and then translates them into thoughts and actions. I'm fine with the idea that it is possible to build systems based on neural networks that will be able to mirror abstract reasoning, human desire systems and even consciousness. I am not daunted by the complexity of these results any more than I am by the idea that a simple light detecting cell could evolve through natural selection to something as complex as a human eye. Many baby steps driven by simple rules and the power of networking can create incredible complex results.

I enjoyed the chapters describing how neural networks work and how their implementation is both similar and different in brains and AI systems. I knew a lot of this stuff, but the reinforcement was helpful (no doubt strengthening many of the activations in my personal neural network!). I sometimes wished that the prose could have been a little more lucid, but it's hard to describe even a simple logical system accurately without getting a little dense.

This is mainly a book about how brains work, but also a book about how AI works. It was refreshing to read an AI book that was value neutral, neither evangelism nor fear mongering for once, though it tends a little bit toward the evangelism side and I thought understated the dangers.

[Thomas Tuchenhagen · Rating 4 out of 5]

Really cool book on both AI and How our own brains work.

The idea that thoughts "arise" (emerge) has always seemed like a concept reserved to Buddhism but this book walked through how it actually seems to be a good description for both the processes of human brains and our machines.

Importantly, it starts to ask some basic questions about consciousness WITHOUT relying on an external non-measurable source that somehow endows us with god like thinking capacities.

The ideas on how motivation occurs in human brains (chap 10) was really helpful in thinking about how I want to design my own life.

[Petter Wolff · Rating 3 out of 5]

This book is probably a good primer for the neuro-curious (and provides some AI/neural network/LLM basic knowledge to boot).
It did not contain a lot of new stuff for me personally, so my grade reflects that. Writing-wise it was ok, not bad, not fantastic. The dialogues that are sprinkled are not Hofstadter-level. The part on consciousness was a bit uninformed and lacked anchoring in their theories, so came off more like an overview of others' theories than something that was thought through deeply.

[David Lazarus · Rating 3 out of 5]

I had much higher expections. There was scant insight for me. They view neuronal functioning as the key to life rather than as an intermediary mechanism. They explain how neural networks might operate, but can't tell us much more. Without context, brain function alone is relatively meaningless. Possibly, the only new idea I got from the whole book was a page or two about how inhibitory processes work. It was very disappointing for me.

[Gabe · Rating 5 out of 5]

I loved this book. It's not an easy read - not because it is technical - but because it's really a book about ideas and ideas need to simmer. I'm a bit shook by what this book says about what I am (or what any human is).

[Laurence · Rating 2 out of 5]

This book needs some heavy editing… I found it a tough / boring read and in places it came across as quite self-indulgent by the authors by, e.g., explicit reference of examples of their own work and explanations rather than something more pedagogical