Reviewed by
an Amazon user,
October 22, 2003
I don't think much of personological/subjective explanations of science, such as Kuhn's and Polanyi's, but I think their views should be heard and considered nevertheless. Western writers seem to have an odd fascination with this sort of approach, for reasons that are understandable historically but that I believe are still untenable, most of which is related to the west's obsession with the individual ego and individual consciousness and with the phenomenological and existential approaches to reality that grew out of that.
While I respect Polanyi as a scientist (he was a noted physical chemist), unfortunately I think he's pretty much gone off the deep end in terms of his subjectivistic interpretation of scientific method and of the work of the scientist, which amounts to a form of neo-Kantianism.
The first problem I have with this is that by making the human mind the final arbiter of all knowledge and sense data, a systematic ghost of an illusion pervades Polanyi's, and indeed, all Kantian theories, because there is no strong connection to external reality anymore. While I would agree with Polanyi in regard to Kant's basic thesis, that the mind is actively involved in organizing the data of the senses, and that ideas about the external world could not exist unless there were corresponding mental capabilities and constucts to match, this idea, although fine for its day, really doesn't buy you much anymore in my opinion. This is for two reasons, which is the problem of illusionism which I just mentioned, and the second is the approach that has now emerged from the last 75 years of work in neurobiology and the brain sciences, of which these writers seem blissfully unaware.
Although we still have a lot to learn, the picture that has emerged so far is both fascinating and impressive. For example, there are 60 trillion cells in a human brain organized into 14,000 major and minor brain centers, and they are all networked together. Each individual neuron has between 3,000 and 100,000 connections with other neurons, producing a neural web of unbelievable complexity.
Most sensory neurons are devoted to using feature-detecting algorithms that require advanced calculus to understand, as David Marr has shown. For example, to mention just a few of his important ideas, Marr's demonstrations that retinal receptive field geometry could be derived by Fourier transformation of spatial frequency sensitivity data, that edges and contours could be detected by finding zero crossings in the light gradient by taking the Laplacian or second directional derivative, that excitatory and inhibitory receptive fields could be constructed from "DOG" functions (the difference of two Gaussians), and that the visual system used a two-dimensional convolution integral with a Gaussian prefilter as an operator for bandwidth optimation on the retinal light distribution, showed that the level of mathematical sophistication as well as just brute computational power that is being devoted to sensory information processing is beyond anything we could have imagined.
Since Marr's time, there has been further progress in this area, such as the Bela Julesz's demonstrations that the visual system can extract and compute binocular disparity cues point-by-point for depth information from abstract, non-representational pictures such as random-dot stereograms. There is also the extension of Marr's ideas about monochromatic edge detection into color edge detection, the mathematical theories of nonlinear visual field distortions present in optical illusions, and many other areas.
Finally, consciousness itself may yield to research on the brain. In the last few years, consciousness has been shown to be composed of many different separate mechanisms in the brain that are being coordinated in time in order for consciousness to occur. It isn't a single process or central program that runs in the brain, nor is there a "master" brain center that one can point to where it c