|
Title: |
System Architecture Approach to the Brain |
| Sub-title: |
From Neurons to Consciousness |
Search Result:
| By (author): |
L Andrew Coward |
| ISBN10-13: |
1594544336 : 9781594544330 |
| Illustrations: |
tables & charts |
| Format: |
Hardback |
| Size: |
180x260mm |
| Pages: |
349 |
| Weight: |
.972 Kg. |
| Published: |
Nova Science Publishers, Inc (US) - July 2005 |
| List Price: |
159.99 Pounds Sterling |
| Availability: |
Temporarily Out of Stock, more expected soon
|
| Subjects: |
Physiological & neuro-psychology, biopsychology : Clinical psychology |
| This book is the integrated presentation of a large body of work on understanding the operation of biological brains as systems. The work has been carried out by the author over the last 22 years, and leads to a claim that it is relatively straightforward to understand how human cognition results from and is supported by physiological processes in the brain. This claim has roots in the technology for designing and manufacturing electronic systems which manage extremely complex telecommunications networks with high reliability, in real time and with no human intervention. Such systems perform very large numbers of interacting control features. Although there is little direct resemblance between such systems and biological brains, the ways in which these practical considerations force system architectures within some specific bounds leads to an understanding of how different but analogous practical considerations constrain the architectures of brains within different bounds called the Recommendation Architecture. These architectural bounds make it possible to relate cognitive phenomena to physiological processes. |
| Table of Contents: |
| Preface; Glossary; Introduction; Scientific Theories of Subjective Human Experience; Operationally Complex Systems; The Recommendation Architecture; Attention Management; Electronic Versions of the Recommendation Architecture; Comparison with Other Approaches; Neurophysiological Evidence for the Recommendation Architecture; The Recommendation Architecture Cognitive Model; Semantic and Episodic Memory; Procedural Memory, Priming, and Working Memory; Arithmetic Processing; The Nature of Human Consciousness; Future Directions. |
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