ABSTRACT
Binding together perceptions, cognitions and consciousness with time requires a very clear notion of simultaneity. In aVLSI systems signals are multiplexed for efficiency reasons. Multiplexed channels skew events in time and add jitter. Neurons responding to those events may act differently than biological neurons unless simultaneity can be represented. Herein is examined the concept of simultaneity as it applies in neural networks and how it can be represented. In doing so a paradigm for understanding neurons is suggested called Relativistic Nemodynamics.
