Zeitschrift für Morphologie und Anatomie

Introduction: Examining and analysing the characteristics features of the vertebral column of human is an important part of the study in anatomy. The vertebral column includes 33 vertebrae that are arranged one upon the other and joined to each other by means of the intervertebral joints and ligaments, of which includes anterior and posterior longitudinal ligaments. Diseases involving the ligaments end in numerous spectrums of ailments extending from backache to deformities and nerve entrapments.

Material and methods: The current study was conducted on 25 dry bone sets. The anterior longitudinal ligaments were studied to find out if there was any change in texture; they were inspected and palpated for any sign of ossification. The study was done randomly at Deccan College of Medical Sciences, Hyderabad

Result: Only 5 of the 25 dry sets of vertebrae examined had indications of ossified ligaments at varying levels.

Conclusion: Inflammation and ossification of the anterior ligament rarely cause symptoms or major functional issues in the patient. In exceedingly rare circumstances, these processes may be linked to the development of a degenerative back problem, however these instances are infrequent.

The increasing morphology of interest in understanding the behaviour of biological neural networks, and the expanding utilization of artificial neural networks in different fields and scales, both require a thorough understanding of how technological computing works. However, von Neumann in his classic ”First Draft” warned that it would be unsound to use his suggested paradigm to model neural operation, furthermore that using ”too fast” processors vitiates his paradigm, which was intended only to describe (the timing relations of) vacuum tubes. Thus, it is worth scrutinizing how the present technology solutions of anatomy can be used to mimic biology. Some electronic components anatomy bears a surprising resemblance to some biological structures. However, combining them using different principles can result in systems with inferior efficacy. The paper discusses how the conventional computing principles, components, and thinking about computing limit mimicking biological systems of morphology and anatomy.