CHAPTER 24

ORGANIZATION OF THE CEREBRAL CORTEX

or

A POSSIBLE PATH TO UNDERSTANDING THE BRAIN.

J.W. Prothero

Page 24.1

INTRODUCTION

1. In the 17th century Descartes (1596-1650), an eminent mathematician and philosopher, asserted that the mind "can work independently of the brain". This distinction between mind and body has continued down to our own day (as the mind-body dualism) and has strongly influenced Western thinking. One consequence has been that until quite recently questions about the nature of 'mind' have been regarded as not within the province of science at all.
2. The prevailing view of most contemporary (reductionist) biologists is that all properties of the mind are implicit in the properties of neurons, and their interactions. The mind is viewed as a process, not as a thing. Even if the reductionist view ultimately proves to be useful, this would neither preclude nor undermine the study of high-level functional properties of the nervous system (NS), such as those in psychology (e.g., studies of short-term memory).
3. We are not born with a knowledge of our world. Possibly the world is a "blooming confusion" for an infant. As we mature we gradually build up a world view. That world view can vary remarkably among different cultures and even from one individual to another within a given culture. We are born with (i.e., genetically endowed with) structures which, over time, enable us to create working mental "models" of the world (i.e., our physical and social environments) and of ourselves. Each individual model provides a representation of some aspect of the world. In some sense our world-view must be a composite of these different models. Building such models presupposes complex abilities on the part of the machinery of the NS. A curious feature of our world-view is that we have very little conscious awareness of the underlying model-building process itself.
4. A remarkable feature of our world-view is its seeming coherence. Contrast our "Visual World" (our mental model based on visual input) with the Visual Field ("out there") at any given time. A trivial example is provided by the blind spots in our retinal field due to the absence of receptors in the retina where the optic nerve exits. The CNS "papers" over this defect in the visual field. Note that our Visual World seems to have no boundaries, whereas our Visual Field has definite boundaries. Our Visual World is stable, whereas our Visual Field is constantly changing, due to eye movements. In our world-model, "time" (whatever that may be) seemingly flows continuously and irreversibly, although our neurons only fire discretely. Thus our world-model appears "seamless" in both space and time. (However, the concept of an absolute linear time is of very recent vintage, having been essentially invented by Newton). It is important to recognize that our mental model of the world need not (and does not) correspond to a Western concept of :reality" in any simple way. (We gloss over the fact that the very notion of objective reality - as something independent of ourselves - is fraught with difficulties). Our mental models are built from high level abstractions of the actual universe. But we know from innumerable experiments in physics that the universe "out there" is very different from our mental model of it.
For example, the chair you sit on is mostly a vacuum. A neutron particle can easily pass eight thousand miles through the earth without hitting anything. Grass is not really 'green', and must look different to organisms with visual systems different from ours. Thus our various working mental models of the universe sift out certain of its abstract relationships and build representations from them.
5. Another remarkable feature of the CNS is the speed with which some tasks, such as the recognition of faces, or speech interpretation, are carried out. We know that the synaptic delay time is of the order of a few milliseconds. Since recognition or interpretation can take place on the order of a second or less; this means that the recognition process could only involve at most a 100 -1000 serially-connected neurons. Most of the "computation" must be going on in parallel.

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