Theory of Interval Modulation Information Coding

In the study of improved modes of computation, it is important to consider entirely new concepts in circuit design and analysis, in information handling, and in modes of information processing. The most obvious approach to the investigation of large-scale computers is to utilize the processes carried out by biological nervous systems as an analogy. The main capabilities displayed by nervous systems cannot be adequately performed by modern-day computers. Although much has been said about the similarity between the nervous system and modern-day digital computers, the principal point of difference has rarely been mentioned, namely that neurons do not handle information in a digital mode (even though they are all-or-none devices). Rather, neurons carry information in an interval-modulation-code form. This mode of information representation has received little attention from engineers, mathematicians, or physicists. In the quest for new approaches, the authors have chosen to investigate this mode of interval-modulation information coding. (Author)