Singularity Era: Computational Model of Entropy Within the Human Brain
Wenyu Ding, Tian-Yi Chen
International Conference on Biometrics Engineering and Application May 13, 2022 DOI: 10.1145/3543081.3543091 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that entropy is closely related to human consciousness and that information theory bridges the two, proposing a computational framework of dynamic entropy in brain cognition and the nervous system. The author contends that this framework can illuminate aging and dreaming and may have medical value for decreasing the rate of aging and improving sleep quality. |
Abstract
What is the essence of thinking? The answer is human consciousness. If human beings do not have the ability to think independently, human beings will not be as advanced and complex as human beings are today, and there will be no countless radicals to explore the truth. Therefore, it is necessary to make a scientific inquiry into our consciousness. It is believed that entropy, as a crucial parameter in thermodynamics, is closely related to human consciousness, and information theory builds a good bridge for this connection. Modern technology has also laid a solid foundation for this, such as fMRI and EEG, to help humans better show the conscious activities in the brain and the relationship with system order. This paper will be divided into three parts one by one: Firstly, this paper outlines the computational framework of dynamic entropy in human brain cognition and nervous system; Then, it come up with two specific branches of research on entropy and human physiological phenomena, namely aging and dreaming with the reference of their corresponding medical treatment, so as to better understand the relationship between entropy and human consciousness. This paper also has the research value in some medical fields regarding to decrease the rate of aging and improve the quality of sleep.