Abstract
Previous articles (3-6) have presented two experimental methods--the Dynamic Behavioral Stage Analysis Method (DBSAM) and the Micro-sleep and Micro-wakefulness Processing Method (MMP)--as investigational approaches oriented in the direction of developing a theoretical concept. MMP employs a simplified method that uses duration of sleep and wakefulness (ti) as the parameter to alter the time units and reverse diagnose sleep and wakefulness as wakefulness and sleep, respectively. Results of vigilance (O) standard diagnosis and those of vigilance (+/- n) standard diagnosis (evaluating apparent sleep and wakefulness based on vigilance (+/- n)) werer compared using model data. This paper discusses the conceptual background necessary to understand the correlation between sleep, wakefulness, and consciousness, using model data. It also hypothesizes that conscious activity level, generated by sleep and wakefulness vectors, acts as an address specifier of information that is input and output within the brain.
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