41 of 41 people found the following review helpful:
5.0 out of 5 stars
A small outstanding book packed with real insight, May 19, 2001
This review is from: How Brains Make Up Their Minds (Hardcover)
Walter Freeman packs a lot of his experience and knowledge of how the brain works in this fascinating little book.
Freeman's emphasis is a bit unique in that he focuses on the dynamics of how neurons communicate rather than on either the anatomy of the brain, or on either mental states or behavior.
By adopting this focus on neural dynamics, the author accomplishes some interesting things that other authors haven't been quite able to accomplish. He comes up with a multi-step mathematical model of how neurons organize themselves in order to function as a mind. His model is far more specific than most (such as the vague model in Susan Greenfield's "Private Life of the Brain" for example) and he links his model clearly and consistently to the pragmatist philosophy of mind.
The key to Freeman's unique approach is that he addresses from the outset the critical observation that makes hte "mind-brain problem" difficult. He recognizes that most models of brain function fail to address how top-down function in the brain could possibly work. How, in the classical model of brain function, can we have an expectancy that reliably alters basic perception, such as in hypnotic anesthesia and hallucinations ?
Materialist and cognitivist models of mind (in terms of simple flows of neural energy or information between neurons) simply have no way to explain why some behaviors should be "voluntary" and others "involuntary," or how meaning is somehow created from symbol processing. Representational models (which consider the brain to store "images" in some sense) still have some serious explanatory gaps.
If the brain simply links together sensory stimuli from the senses, and then somehow "taps into memory" to help interpret what we perceive, why should our initial perceptual gestalts themselves be altered by what we expect to perceive ?
The way attention and expectancy work - requires a different way to look at the brain, such as providing a continual staging process for awareness. The point is made succinctly and eloquently by Freeman, although readers interested in mroe of the background to this will find John McCrone's "Going Inside" a great read as well. Rather than discussing the background of this modern view of conscious awareness, Freeman links it to his own model of complex dynamics among populations of neurons and discusses various implications for philosophy of mind and brain.
Freeman's view is that consciousness is not itself a "cause" of neural effects, but a global linkage for smoothing chaotic fluctuations through interactions. The author borrows from a definition by Thomas Aquinas to make a point of defining intentionality in biological terms as a frame for problem solving rather than the weaker sense of "aboutness" used by analytic philosophers. He then builds a model of mind that uses chaotic attractor patterns to explain how we create meaning in individual brains by interacting usefully with the environment.
Walter Freeman is one of the scientists seriously trying to address such puzzling matters as _choice_, and how others can sometimes become aware of our own choices before we are, in both daily life and careful experiments. A lot of Freud's speculations in his theory of the Unconscious mind were intended to address this, but theorists today are in a better position to do it more scientifically. How can choice seemingly be "unconscious" and yet we have a very real sense of free will ? Is it an illusion ? Freeman makes a strong entry in the race to explain this in a way that works scientifically and yet explains what we actually experience. I read this at about the same time as John Taylor's "The Race for Consciousness," and found that it covers a lot of very similar ground, and often more elegantly.
While this book is surprisingly readable for having so much relevant technical detail in neuroscience and complexity maths, it will often frustrate readers who want to follow it in great detail unless they have some background in both neuroscience and nonlinear dynamics. In spite of this, I give it my highest recommendation because I think anyone who reads it will learn something interesting about the brain and its relationship to the mind.
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25 of 27 people found the following review helpful:
4.0 out of 5 stars
Interesting combination of neuroscience, philosophy and math, August 26, 2001
This review is from: How Brains Make Up Their Minds (Hardcover)
This is one of several books in the last couple of years written by leading neuroscientists attempting to explain consciousness. Outstanding examples are Damasio's "The Feeling of What Happens" and Edelman and Tononi's "A Universe of Consciousness," which are both very worthwhile reading. Freeman takes a different tack, based on his years of research into the olfactory system. Though this short book appears to be aimed at the educated layman, many will be stopped short in their tracks by his "ten building blocks" of "how neural populations sustain the chaotic dynamics of intentionality," such as the ever-popular #8, "Attenuation of microscopic sensory-driven activity and enhancement of mesoscopic amplitude modulation patterns by divergent-convergent cortical projections underlying solipsm." These ten statements form the core of the book, and although they are ultimately explained with some degree of clarity, I found myself wishing for more specific examples from the neuroscientific literature beyond the very limited samples provided, which tended to be either very basic circuit diagram type drawings, or taken from his work in the olfactory system. I did find the application of chaos theory to brain dynamics fascinating, though for a critique of Freeman's approach and an alternative view see the article by Laurent et al in the 2001 Annual Review of Neuroscience. Overall, though, I found the book a stimulating and interesting read.
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14 of 16 people found the following review helpful:
4.0 out of 5 stars
Interesting new ideas and some valuable information, July 9, 2001
This review is from: How Brains Make Up Their Minds (Hardcover)
Freeman wraps up a long history (30 years, I believe) as a neurophysiologist with a good general overview of some interesting information and philosophy. The book starts with a general overview of the brain, using a salamander's brain structure as the building block from which to start the discussion.
Freeman's main area of study revolves around the olfactory sense which is not a very common area within the "mainstream" of currently in-vogue neural work. This might explain why his views are rather different from many of his colleagues as well as those who stand on the "edge" of the whole mind-brain debate such as the Churchlands and Dennett.
Freeman details how we usually represent problems in a linear fashion and how this type of philosophy is not at all appropriate for the study of the nervous system. Freeman does a great job of delving into circular causality (feedback systems) and why this naturally leads to some interesting conclusions about the interrelationship of the brain and mind.
Freeman refers to himself as a "pragmatist" in the book although I found this to be a bit confusing based on some of his views. He is clear that he is not a materialist (like the Churchlands and Searle) but also not a dualist (such as Penrose and Chalmers) but I think he should have gone a further step and really stepped outside of the constraint of calling himself a "pragmatist".
He has some good and easy-to-digest information about chaotic systems and how they tend to seek islands of stability (that is, there is emergent order in a sea of unpredictability) but he never really gets down to the nitty and gritty of tackling how the physical realm ultimately manages to link causally to the mental. Tallis' book has some better leads on this "problem" and it would be interesting if these two and Austin ("Zen and the Brain") could get together to discuss some ideas.
All in all a pretty good read that won't hurt anyone who doesn't have a background in science. But we have a long way to go understanding the "hard problem" still...
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