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Rating: 
Summary: Childish fantasy
Review: 1) Every neuroscientist knows that the connections in the cerebral cortex are stochastic, i.e. vary randomly between individuals. Therefore, all the idea of 'equidistance neurons become active togeteher' is plain nonsense.2) Darwinian evolution requires repeated cycles of reproduction. This does not happen in the brain, so there is no 'Darwinian evolution' in the brain.
Rating: 
Summary: My review of "The Celebral Code".
Review: Calvin surprised me in this book.
I am the kind of guy interested in intelligence, how it might work biologically, and lastly I was given an advice by a fellow at bionet.neuroscience.
The book gave me food for thought, and even as I am studying neurology in much more detail; "Principles of Neural Science" by Kandel et al; the basic idea that Calvin lay down in written form is still influencing me.
But if you really want the best usage of this book, you at least have to know SOME basics (which I didn't have to much of), and read the book when you know what corticothalamic pathways mean.
5 stars for the book, well deserved.
This applies also for "How Brains Think" which was written before the "The Celebral Code".
I urge you to get both books, read first "How Brains Think", and then "The Celebral Code".
Rating:
Summary: My review of "The Celebral Code".
Review: Calvin surprised me in this book.
I am the kind of guy interested in intelligence, how it might work biologically, and lastly I was given an advice by a fellow at bionet.neuroscience.
The book gave me food for thought, and even as I am studying neurology in much more detail; "Principles of Neural Science" by Kandel et al; the basic idea that Calvin lay down in written form is still influencing me.
But if you really want the best usage of this book, you at least have to know SOME basics (which I didn't have to much of), and read the book when you know what corticothalamic pathways mean.
5 stars for the book, well deserved.
This applies also for "How Brains Think" which was written before the "The Celebral Code".
I urge you to get both books, read first "How Brains Think", and then "The Celebral Code".
Rating:
Summary: William Calvin deserves a Nobel Prize.
Review: I originally posted this review on February 6, 1997, but the text of the original was apparently truncated in the Amazon.com database, so here is a reposting of the complete text. --Sherwin Gooch William Calvin deserves a Nobel Prize. . . . . . . . . . . . . . . . . . . . . . . . Reviewer: Sherwin Gooch . . . . . . . . February 6, 1997 These are incredible results from incredible research. From the look of some other reviews, it is apparent that some people are so amazed at the contents of this book that their own cognitive dissonance prevents them from believing that Dr. Calvin's results, and the resulting explanations, are real: They mutter that people shouldn't be allowed to go on speculating so. William Calvin's findings appear to fill in the missing pieces connecting both ends of the model of brain function -- which for decades has being built from the bottom up by neuroscientists, and from the top down by artificial intelligence researchers. This is nothing short of miraculous; I didn't think I would live to see this in my lifetime! If Dr. Calvin doesn't receive Nobel prize for this work, the selection committee just isn't doing their homework. --Sherwin Gooch .. .. .
Rating: 
Summary: Looks at the physiological processes of the brain.
Review: I've been away from neurophysiology and cognitive psychology for a decade, and I picked this book up to see what kinds of ideas had gained currancy since my academic days. So far, I'm pretty impressed with Calvin. He may not be right- he may not even be close, for that matter. And he's still a bit weak on the transition from biology to conciousness. But it's well thought out, well developed, and certainly well worth reading for anyone interested in how biology connects with conciousness.
Rating:
Summary: Possibly an important step in explaining thought
Review: Most attempts to describe how thought works either start at a very low level (such as a single neuron) and have trouble scaling up to anything complex, or start at an abstract level (e.g. Minsky's Society of Mind) that don't come close to the level of detail needed for computer simulations of a working mind.
This book is the best attempt I've seen to bridge that gap. It is almost detailed enough to suggest how the patterns involved could be built out of individual neurons, while providing ideas about how to create complex patterns.
It still isn't specific enough to create a simulation that would produce anything resembling human thought, but I can imagine that Calvin's theory will prove to be one of the bigger steps needed to create such a simulation.
Rating: 
Summary: Too qualitative
Review: The author introduces the book as one about thoughts, memories, consciousness, creativity, etc., with his goal being to put these subjects in the context of an evolutionary paradigm. The cerebral cortex represents mental images via a Darwinian process, recombining them to create something totally original. When considering my dreams, or the moments of consciousness when I am just falling off to sleep, I can certainly sympathize with the author's thesis. However, throughout the book I wanted to see equations and graphs, discussions on mathematical modeling/simulations and laboratory experiments. Instead the approach is purely descriptive, making the book somewhat of a disappointment. The author though warns the reader early on that he resisted the temptation to utilize computer simulations, citing the need for clarity, and his skepticism of "free-parameter curve-fitting" as the main reasons. But even though the author takes a purely qualitative approach, it is still embedded in a scientific description, and not mere philosophical handwaving. The first two chapters are an overwiew of the author's solution of the representation problem, this problem in his view being which spatio-temporal pattern represents a mental object. The author is clearly influenced by the neurologist D.O.Hebb, and throughout the book he attempts to answer the representational questions that Hebb posed back in the 1940's. Cerebral representations must explain spatial-only and spatiotemporal patterns, their interconversions, redundancy, spatial extent, and imperfections, and how they are linked to associative memory. Arguing for the need for copying, the author shows how it can arise in the neocortex. His (Darwinian) mechanism for copying takes place among the interactions of the superficial pyramidal neurons, due to their physical properties and their geometric layout. Interestingly, the phenomenon of "emergent synchrony", familiar to the physics reader in the motion of the double pendulum, is shown to play a role in the copying mechanism. Indeed the superficial layers of the neocortex are shown to form (ephemeral) triangular arrays interacting via entrainement. The next few chapters are devoted to showing just how the triangular arrays result in successful representations. The stability of the triangular arrays formed by the "hot spots" under perturbation is addressed, the author showing how the six "nearest neighbors" have a correcting influence on the spot if it fires out of sync with them. The minimal Hebbian cell-assembly is thus shown to be a hexagon, and that author shows how they are related to triangular arrays: namely, that two triangular arrays can alter synaptic strengths and create attractors within a hexagon's circuitry that sustain the firing pattern. The author's use of concepts and constructions from dynamical systems in this chapter and the next two is very interesting but made me thirst for more quantitative justification. Indeed chaotic dynamics is brought in to explain the "memorized environment", which for the author is the most difficult problem to explain from the standpoint of his Darwinian shaping-up process. Calling chaos "controlled disorder", the author holds that the EEG patterns in deep sleep are limited-cycle rhythmicity, that Parkinson tremors are the result of fixed-point attractors, and the Necker cube perspective switching is switching in and out of lobes of an attractor. He does admit though that all these are "loose analogies" and goes on to explain in more detail how resonances influence cortical territory by spatio-temporal patterns that arrive by lateral cloning. The Darwinian paradigm via the overlaid hexagons is asserted to be one of the elementary mechanisms for category formation, and thus are able to deal with higher levels of abstraction, such as one finds in advanced mathematics. If the mechanism put forward by the author is correct in explaining such high-level reasoning, this would be a major advance in cognitive science. As if detecting that the reader-scientist may be disenchanted with purely philosophical discussion, the author elaborates on his Darwinian paradigm in the rest of the book and offers a new perspective on the nature of categories in the context of this paradigm. He adheres to the assertion that categories are indispensable for using words in a referential manner, as linguistic symbols do not relate directly to the objects in the world, but to concepts of the classes which the objects belong. A hierarchical network of meanings is essential for this to occur. The author has taken on a problem of enormous difficulty here, but does give explanations that seem plausible. The "hexagons for cerebral codes" are capable he says of handling any level of abstraction or representation. Interestingly, his explanations make use of another concept from physics, that of Brownian motion, to discuss the role and origin of associative memory in his Darwinian paradigm. The role of "recombination" in the Darwinian process is explained as a need for integrating codes that are stored separately in the brain into a "master code" for a particular concept. "Hexagonal cloning competitions" are thought of as processes by which information can be (serially) ordered and missing information can be identified. The author makes his case for the utility of metaphor crystal clear, for without such metaphors he says, without imagination, we will have no mechanisms to mold experience or to discover new things. Consciousness too, deemed the most complex of phenomena to be described by a theory of brain function, is explained in the context of his hexagonal neocortical arrays. Consciousness is a result of the multiple levels of "stratified stability", each of these employing Darwinian processes to enhance quality and create new things. In addition, he discusses practical consequences of his brain theory in psychiatry, rather than in merely explaining the capabilities of the brain. With more experimentation, with more modeling, with more simulations, and with further refinements and clarifications to the physical concepts which he uses, his ideas will become vastly more convincing. However exotic they may appear, his ideas, and others in brain modeling, will require careful elucidation, and future developments are to be greeted with eager anticipation.
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