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Don Tucker - Cognition and Neural Development

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Scientific research shows how experience shapes the organization of the human brain through mechanisms of neural plasticity, which capture the information of the world within the connections among neurons. To understand this plasticity, it is important to look to the developmental mechanisms through which the brain grows from a single cell in embryogenesis to achieve the complex architecture of the human brain. The process of neural morphogenesis involves exuberant formation of neuronal connections, and then subtractive elimination of unused connections. This process is continued after birth, providing the neural plasticity of learning that allows cognitive development in infancy and childhood. Recognizing this continuity suggests an interesting insight: Cognition is a reflection of neural development throughout the life span.
With this insight, the authors of Cognition and Neural Development examine the embryonic development of the brain to appreciate the dimensions of developmental momentum that shape the neural and psychological development of our lives. Human brain embryogenesis involves gradients of trophic factors that guide the migration of neurons from ventricular proliferative zones to organize the architecture of the cerebral hemispheres. The architecture of human cognition involves a functional differentiation of dorsal (pyramidal) and ventral (granular) corticolimbic divisions. This differentiation is a defining feature of not just human but mammalian neuroanatomy. The separation of pyramidal and granular cortical architectures appeared with the evolution of the six-layered mammalian neocortex from the three-layered primitive general cortex of reptiles and amphibians. The functional differentiation of the dorsal and ventral divisions of the cerebral hemispheres has been shown to be integral to multiple levels of psychological function, from elementary motivation to the most complex forms of executive self-regulation. Through an evolutionary-developmental analysis of cortical differentiation, the authors approach the basic questions of psychological function in novel ways.

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  • Oxford University Press is a department of the University of Oxford.
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  • Published in the United States of America by
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  • Oxford University Press 2012
  • All rights reserved. No part of this publication may be reproduced, stored in a
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  • Library of Congress Cataloging-in-Publication Data
  • Tucker, Don M.
  • Cognition and neural development / Don M. Tucker and Phan Luu.
  • p. cm.
  • Includes bibliographical references and index.
  • ISBN 9780199838523 (hardback: alk. paper)1. Neurophysiology.
  • 2. Cognition.3. Brain.4. MemoryPhysiological aspects.
  • I. Luu, Phan, 1968II. Title.
  • QP406.T885 2012
  • 612.8dc23
  • 2011051636
  • 987654321
Contents

(p.v)

Preface

In this book, we begin with what we think is an insight. The mind is the brain. The mind is not just brainfunction, as if function could be separated from structure. Rather it is the very substance of the brain. As the mind operates, it reflects the ongoing neurodevelopmental process, continuing the self-organization of neural connections that began in the embryonic differentiation of the neural tube and that continues throughout life.

We think this insight is implicit in todays scientific research, but it is not yet fully apparent. Once it does become apparent, everyone will think Of course we knew this all along. We might say this insight is still preconscious in the minds of psychologists and neuroscientists, and even those who should bridge these disciplines, cognitive neuroscientists. The progress in science prepares us for this insight, yet it is still difficult to realize.

One problem is that mind naturally seems different from brain. The objectivity required for flexible scientific analysis is difficult when we have personal awareness of mental processes (more or less) but have no personal awareness of the neural mechanisms. From the naive view of the subjective mind, we then experience psychological processes as fundamentally separate from the bodily processes that generate them. It is natural, then, even for scientists to think that the brain function that creates our familiar psychological phenomena can arise from a brain whose basic structure, its anatomy, is fixed. Rather, the insight is that the phenomena of mind are due to the ongoing developmental changes in neuroanatomical differentiation. Every thought reorganizes the tissue.

Another problem is that the insight requires developmental reasoning. In modern training in both psychology and neuroscience, development is seen as a specialized topic, dealing with the minds of babies or the brains of embryos. If development is not your specialty, you never think about it. This is an important mistake. Development is the process of life. Just as biology cannot be understood except in the light of evolution, psychology cannot be understood except in the light of brain development. Psychology is, indeed, in each moment, brain development.

(p.vi) These impediments should be overcome soon enough. The theoretical progress that makes it possible to understand the neurodevelopmental nature of human cognition has been slow over the last couple centuries, but it is now well advanced. Perhaps most importantly, we have learned how neural connectivity implies cognitive function. This has come largely through connectionist computational modeling, showing how complex and naturalistic representation of concepts can be organized in the pattern of connections among simple neuronal elements. In addition, we have a lot of concrete evidence of the isomorphism (parallel forms) of psychological function and brain activity. This is being gathered by powerful methods of observing the brains activity in controlled cognitive experiments, first with hemodynamic (functional magnetic resonance imaging or fMRI) measures, and now with the temporal dynamics shown by dense array electroencephalography (dEEG). Both of these are being augmented by increasingly accurate measurement of network structure with nerve fiber tractography.

Now, the structure-function illusion still remains in this research. Cognitive neuroscientists still think the neuroanatomical structure is fixed, and the hemodynamic or electrophysiologic measures reflect the activity of the tissue that somehow gives rise to psychological function without changing its structure. But activity becomes structure. The advances in technology and measurement are preparing us for this insight. We will soon appreciate that the cognitive mechanisms of learning and memory are achieved through developmental neural plasticity. Neural structure is developing continuously, and this development is brain function. As a result, our familiar psychological experience throughout life is the direct reflection of ongoing neural ontogenesis.

Overview

The task of this book is to help the insight along, by showing how specific neurodevelopmental mechanisms not only explain the brains continuing growth and differentiation, but at the same time explain important features of human cognition. At the core of cognition is adaptive memory consolidation, through which learning produces structural changes in the brain and the self. We begin in Chapter adaptive goals, anticipate actions in relation to these goals, and adapt both expectancies and behavior in the face of unexpected consequences. Through continued neural ontogenesis, mammals continue to grow and differentiate their neural networks throughout life. Neural growth is continuous, including during sleep, as the neurophysiology of memory consolidation patiently and incessantly integrates each days experience within the brains connectional patterns. Learning is then a literal neurodevelopmental process, shaping the neural growth and differentiation as it continually anticipates future events. Just as cognition must be understood as a neurodevelopmental process, mammalian brain development must be understood as a cognitive process.

Once neural development is considered in this way, a basic question becomes the motive control of neural activity. With activity-dependent specification of neural connections, the control of neural activity controls both the growth of neural networks and the ongoing cognitive process. Although the self-regulation of neural activity is a complex issue, we assert that even a simple model of neural cybernetics (control systems) can be useful. We propose that there are two fundamental forms of neuromodulation, described as

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