Here are 26 books that Spikes fans have personally recommended if you like
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I have wondered about what goes on in the brains of animals and people since I was a youth. My research career began by studying how some genes affect behavior. Little surprise, it turns out, that many such “behavioral” genes influence the way the brain is built. So, I began to study brain development using embryos from a variety of experimental laboratory animals and developed a university course on this topic. When I retired, I decided to share what I learned. The other books on this list are great examples of readable books that would likely be exciting to anyone else interested in the story of how the human brain is built.
Not only does this book provide an up-to-date account of where science is at in terms of our basic understanding of how the brain works, but it also succeeds in putting this knowledge into a compelling history of basic discoveries. I really enjoyed this aspect of Cobb's book and tried to incorporate it into my book.
So, I found it to be an excellent introduction to neuroscience and a great book about the process of how science progresses in jumps. It engenders real excitement in this still very lively field of study and celebrates the key advances in our conceptual understanding of the brain.
This is the story of our quest to understand the most mysterious object in the universe: the human brain.
Today we tend to picture it as a computer. Earlier scientists thought about it in their own technological terms: as a telephone switchboard, or a clock, or all manner of fantastic mechanical or hydraulic devices. Could the right metaphor unlock the its deepest secrets once and for all?
Galloping through centuries of wild speculation and ingenious, sometimes macabre anatomical investigations, scientist and historian Matthew Cobb reveals how…
I am fascinated with the relationship between our individual behaviors and the social structures and institutions in which we live—and how these influence each over time. I think this sort of understanding is important if we want to consider the kind of world we want to live in, and how we might get there from where we are. I take insights from many disciplines, from physics and biology to the cognitive and social sciences, from philosophy and art to mathematics and engineering. I am currently a professor of cognitive and information sciences at the University of California, Merced, and an external professor at the Santa Fe Institute.
Strictly speaking, there is very little math in this short book, but it nevertheless details precise models that yield loads of insight.
Using simple machines with sensors and motors, Braitenberg shows us how easy it is to generate behaviors that look purposeful and even emotional, and how hard it would be to guess how those behaviors were generated if we didn’t already know. This is a book I come back to again and again, not only for its valuable lessons, but also for its beautiful prose.
The models in this may be fictions, but, as Braitenberg advises, fiction is a necessary part of science “as long as our brains are only minuscule fragments of the universe, much too small to hold all the facts of the world but not too idle to speculate about them.”
These imaginative thought experiments are the inventions of one of the world's eminent brain researchers.
These imaginative thought experiments are the inventions of one of the world's eminent brain researchers. They are "vehicles," a series of hypothetical, self-operating machines that exhibit increasingly intricate if not always successful or civilized "behavior." Each of the vehicles in the series incorporates the essential features of all the earlier models and along the way they come to embody aggression, love, logic, manifestations of foresight, concept formation, creative thinking, personality, and free will. In a section of extensive biological notes, Braitenberg locates many elements of…
I’m a British neuroscientist and writer who’s been using computers to study the brain since 1998, and writing about it since 2016. How I ended up a neuroscientist is hard to explain, for my formative years were spent devouring science books that were not about the brain. That’s partly because finding worthwhile books about the brain is so hard – few delve into how the brain actually works, into the kinds of meaty details that, for example, Hawking offered us on physics and Dawkins on evolution. So I wrote one to solve that problem; and the books on my list are just that too: deep, insightful works on how the brain does what it does.
The authors hilariously claim in their acknowledgements that this is a short book. It is not. Instead, it is a volume that explains ten key principles of why brains work the way they do, from why they do so much computation with chemistry to the irreducible smallness of a brain’s components. A densely argued, fiercely detailed book, not one for the faint of heart – but one that has pride of place on the shelves of many neuroscientists, mine included.
Two distinguished neuroscientists distil general principles from more than a century of scientific study, “reverse engineering” the brain to understand its design.
Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently.
I’m a British neuroscientist and writer who’s been using computers to study the brain since 1998, and writing about it since 2016. How I ended up a neuroscientist is hard to explain, for my formative years were spent devouring science books that were not about the brain. That’s partly because finding worthwhile books about the brain is so hard – few delve into how the brain actually works, into the kinds of meaty details that, for example, Hawking offered us on physics and Dawkins on evolution. So I wrote one to solve that problem; and the books on my list are just that too: deep, insightful works on how the brain does what it does.
We neuroscientists know a lot about how brains are, but not how they come to be. This book fills that huge hole: it explains how genetics and development shape the growing brain, and the consequences this has for our personalities and our mental disorders. Mitchell’s thesis is that the stochastic nature of development is key to understanding much of the variation between brains, and it has changed the way I think about the wiring of brains.
A leading neuroscientist explains why your personal traits are more innate than you think
What makes you the way you are-and what makes each of us different from everyone else? In Innate, leading neuroscientist and popular science blogger Kevin Mitchell traces human diversity and individual differences to their deepest level: in the wiring of our brains. Deftly guiding us through important new research, including his own groundbreaking work, he explains how variations in the way our brains develop before birth strongly influence our psychology and behavior throughout our lives, shaping our personality, intelligence, sexuality, and even the way we perceive…
I practised risk, resilience, and protection of infrastructure systems for 35 years. Mid-career, I became frustrated that we could deliver highly successful projects yet didn't deliver their ultimate purpose. This difference is particularly pronounced in war zones and the developing world, where most of my work has been. My research at the University challenged what I knew: it was as if someone had taken my heuristic understanding and cast the components like a pack of cards into the wind. I have shared some highlights in my journey to gather the cards. I hope you like them.
There are some excellent books on risk like Bernstein's Against the Gods. The majority are insipid reads and over-simplistic. This little book stands out for its simple, clear, condensed overview of risk in theory and practice. It doesn't try to simplify to the point of complicating the subject; it presents the inherent complexities without drama. I made it required reading for my risk & resilience students and employees. It offers a sense of how risk changes with interpretation and how the perception can itself influence the occurrence and impact. If this idea of risk perceptions and how it influences decision-making strikes a chord with you, you might wish to explore more of Baruch Fischhoff's work—it is utterly fascinating and will forever change how you buy vehicle insurance and salmon.
We find risks everywhere-from genetically modified crops, medical malpractice, and stem-cell therapy to intimacy, online predators, identity theft, inflation, and robbery. They arise from our own acts and they are imposed on us. In this Very Short Introduction, Baruch Fischhoff and John Kadvany draw on the sciences and humanities to explore and explain the many kinds of risk. Using simple conceptual frameworks from decision theory and behavioural research, they examine the science and practice of creating measures of risk, showing how scientists address risks by combining historical records, scientific theories, probability, and expert judgment.Risk: A Very Short Introduction describes what…
As far back as I can remember, I’ve spent a lot of time worrying about things like why there is something instead of nothing, why we can remember the past but not the future, and how consciousness arises. Although I’m a professor of economics, I take such things seriously enough to have published some papers in philosophy journals, and even a whole book about philosophy called The Big Questions. These are some of the books that sharpened my thinking, inspired me to think more deeply, and convinced me that good writing can render deep ideas both accessible and fun.
Would you guess that the average daily temperature in San Francisco is above or below 558 degrees Fahrenheit?
I'm going to assume you guessed "below", because that's the right answer and absolutely everybody gets it right.
Now---what would you guess is the actual average daily temperature in San Francisco? If you are like just about everybody, your guess right now is quite a bit higher than the guess you’d have made a minute ago, before you saw my first (entirely ludicrous) question. This well-documented effect persists even when subjects are told about it and warned not to fall prey to it.
Perhaps I’m overestimating, but I believe this book contains about 14 billion equally fascinating and weird facts about how human minds process information. But although these facts are quirky, they are not quirks --- they are central to the working of the human mind, not just little mistakes we…
Prada stores carry a few obscenely expensive items in order to boost sales for everything else (which look like bargains in comparison). People used to download music for free, then Steve Jobs convinced them to pay. How? By charging 99 cents. That price has a hypnotic effect: the profit margin of the 99 Cents Only store is twice that of Wal-Mart. Why do text messages cost money, while e-mails are free? Why do jars of peanut butter keep getting smaller in order to keep the price the "same"? The answer is simple: prices are a collective hallucination.
I’ve been drawn to philosophical inquiry for as long as I can remember (even before knowing philosophy was a thing, which I didn’t realize until after high school). My most enduring interest is in inquiry concerning rationality and irrationality. My early studies focused on the relationship between morality and rationality. My current research focuses on choice situations and preference structures that can interfere with choosing well by prompting self-defeating patterns of choice. The relevant patterns are associated with being tempted or torn and include cases of individual and collective procrastination. Though not a cure-all, understanding rationality’s guidance can, I think, highlight certain pitfalls in life and help us avoid them.
This collection advances philosophical debate regarding the theoretically interesting and practically important topic of weakness of will.
Weakness of will is traditionally understood as involving, roughly speaking, giving into temptation by freely acting against one’s better judgment. It is widely viewed as irrational, but some theorists question whether it is really possible to freely act against one’s better judgment, and they provide alternative explanations of what appear to be instances of weakness of will or alternative ways of understanding what is going on in the cases of interest.
Look to this collection for illuminating discussions regarding weakness of will in relation to, among other things, compulsion, irresoluteness, internal fragmentation, and emotional sensitivity to value.
Among the many practical failures that threaten us, weakness of will or akrasia is often considered to be a paradigm of irrationality. The eleven new essays in this collection, written by an excellent international team of philosophers, some well-established, some younger scholars, give a rich overview of the current debate over weakness of will and practical irrationality more generally. Issues covered include classical questions such as the distinction between weakness and compulsion, the connection between evaluative judgement and motivation, the role of emotions in akrasia, rational agency, and the existence of the will. The also include new topics, such as…
I taught myself to code back in 1994 while working the graveyard shift as a geologist in the environmental industry. My job consisted of sitting in a chair during the dark hours of the night in a shopping center in Stockton, CA, watching another geologist take samples from wells in the parking lot. A friend of mine suggested I learn to code because I liked computers. I don’t mean to make this out to be a “it’s so simple anyone can do it!” You need to have a relentless drive to learn, which is why I wrote my book, The Imposter’s Handbook - as an active step to learning what I didn’t know I didn’t know.
You’ve heard of Einstein, Turing, Newton, and Hawking - but do you know who Claude Shannon is? Would you be surprised if I told you that he’s probably done more for our current way of life than all of the others combined? It’s true, and it’s unbelievable.
Claude Shannon was a quiet, quirky man who had what you might call The Most Genius Move of the last foreveryears: he took an obscure discipline of mathematics (Boolean Algebra) and applied it to electrical circuits, creating the digital circuit in the process. If you’ve ever wondered how 1s and 0s are turned into if statements and for loops - well here you go.
Oh, but that’s just the beginning. Dr. Shannon took things much further when he described how these 1s and 0s could be transmitted from point A to point B without loss of data. This was a big problem…
Winner of the Neumann Prize for the History of Mathematics
**Named a best book of the year by Bloomberg and Nature**
**'Best of 2017' by The Morning Sun**
"We owe Claude Shannon a lot, and Soni & Goodman’s book takes a big first step in paying that debt." —San Francisco Review of Books
"Soni and Goodman are at their best when they invoke the wonder an idea can instill. They summon the right level of awe while stopping short of hyperbole." —Financial Times
"Jimmy Soni and Rob Goodman make a convincing case for their subtitle while reminding us that Shannon…
My primary interest is in brain function. Because the principal job of
the brain is to process information, it is necessary to define exactly
what information is. For that, there is no substitute for Claude
Shannon’s theory of information. This theory is not only quite
remarkable in its own right, but it is essential for telecoms,
computers, machine learning (and understanding brain function).
I have written ten "tutorial introduction" books, on topics which vary
from quantum mechanics to AI.
In a parallel universe, I am still an Associate Professor at the
University of Sheffield, England.
Pierce was a contemporary of Claude Shannon (inventor of information theory), so he learned information theory shortly after it was published in 1949. Pierce writes in an informal style, but does not flinch from presenting the fundamental theorems of information theory. Some would say his style is too wordy, and the ratio of words/equations is certainly very high. Nevertheless, this book provides a solid introduction to information theory. It was originally published in 1961, so it is a little dated in terms of topics covered. However, because it was re-published by Dover in 1981, it is also fairly cheap. Overall, this is a sensible first book to read on information theory.
"Uncommonly good...the most satisfying discussion to be found." — Scientific American. Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future. To give a solid introduction to this burgeoning field, J. R. Pierce has revised his well-received 1961 study of information theory for a second edition. Beginning with the origins…
My primary interest is in brain function. Because the principal job of
the brain is to process information, it is necessary to define exactly
what information is. For that, there is no substitute for Claude
Shannon’s theory of information. This theory is not only quite
remarkable in its own right, but it is essential for telecoms,
computers, machine learning (and understanding brain function).
I have written ten "tutorial introduction" books, on topics which vary
from quantum mechanics to AI.
In a parallel universe, I am still an Associate Professor at the
University of Sheffield, England.
This is the modern standard text on information theory. It is both comprehensive and highly technical. The layout is spacey, and the authors make good use of the occasional diagram to explain geometric aspects of information theory. One feature I really like is the set of historical notes and a summary of equations at the end of each chapter.
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The…
