Déli Eva, Kisvárday Zoltán
Phoenix, AZ USA.
MTA-DE Neuroscience Research Group, University of Debrecen, Debrecen, Hungary.
Cogn Neurodyn. 2020 Dec;14(6):743-756. doi: 10.1007/s11571-020-09637-y. Epub 2020 Sep 25.
The living state is low entropy, highly complex organization, yet it is part of the energy cycle of the environment. Due to the recurring presence of the resting state, stimulus and its response form a thermodynamic cycle of perception that can be modeled by the Carnot engine. The endothermic reversed Carnot engine relies on energy from the environment to increase entropy (i.e., the synaptic complexity of the resting state). High entropy relies on mental energy, which represents intrinsic motivation and focuses on the future. It increases freedom of action. The Carnot engine can model exothermic, negative emotional states, which direct the focus on the past. The organism dumps entropy and energy to its environment, in the form of aggravation, anxiety, criticism, and physical violence. The loss of mental energy curtails freedom of action, forming apathy, depression, mental diseases, and immune problems. Our improving intuition about the brain's intelligent computations will allow the development of new treatments for mental disease and novel find applications in robotics and artificial intelligence.
生命状态是低熵、高度复杂的组织,但它是环境能量循环的一部分。由于静息状态、刺激及其反应的反复出现,形成了一个感知的热力学循环,可用卡诺热机来建模。吸热的逆向卡诺热机依靠环境能量来增加熵(即静息状态的突触复杂性)。高熵依赖精神能量,精神能量代表内在动机并关注未来。它增加行动的自由度。卡诺热机可以模拟放热的、负面的情绪状态,这些状态将注意力引向过去。生物体以激怒、焦虑、批评和身体暴力的形式将熵和能量排放到环境中。精神能量的丧失会限制行动自由,导致冷漠、抑郁、精神疾病和免疫问题。我们对大脑智能计算的直觉不断提高,将有助于开发精神疾病的新疗法,并在机器人技术和人工智能中找到新的应用。