Wiest Michael C, Puniani Arjan Singh
Neuroscience Department Wellesley College, 21 Wellesley College Rd., Wellesley, MA 02481, USA.
University of Pittsburgh Rehab Neural Engineering Labs, 1622 Locust St, 4th Floor, Pittsburgh, PA 15219, USA.
Comput Struct Biotechnol J. 2025 Sep 13;30:94-107. doi: 10.1016/j.csbj.2025.09.016. eCollection 2025.
In the first of two companion papers, we argued that classical neural mechanisms proposed to implement conscious active inference had failed to establish their biological plausibility in terms of realistic biophysical models. We further explained that conscious (temporally deep) active inference is mathematically equivalent to the path integral that underlies quantum dynamics. As such, we proposed that a quantum model provides a natural, biologically plausible mechanistic implementation of the processing required by active inference. In this second paper we review the evidence establishing discrete non-overlapping cycles of perceptual inference, and argue that classical process models have so far failed to motivate or describe these discrete cycles in terms of realistic neural mechanisms. We then point out that the Orchestrated Objective Reduction (Orch OR) theory of consciousness naturally solves this fundamental problem. Along the way, we review independent strong theoretical and experimental evidence from my (Wiest) lab and others' supporting the Orch OR quantum theory of consciousness as a collective quantum property of intraneuronal microtubules (MTs). This includes demonstration of room-temperature quantum effects in MTs, MT resonances controlling membrane spiking in living neurons, evidence that volatile anesthetics target MTs to cause unconsciousness, and direct biophysical evidence of a macroscopic entangled state in the living human brain. Intraneuronal MTs thus offer a biologically specific and experimentally supported substrate for implementing conscious active inference in brains.
在两篇姊妹论文的第一篇中,我们认为,为实现有意识主动推理而提出的经典神经机制,未能根据现实的生物物理模型确立其生物学合理性。我们进一步解释说,有意识的(时间深度上的)主动推理在数学上等同于量子动力学所基于的路径积分。因此,我们提出量子模型为主动推理所需的处理过程提供了一种自然的、具有生物学合理性的机制实现方式。在第二篇论文中,我们回顾了确立感知推理离散且不重叠循环的证据,并认为经典过程模型迄今为止未能从现实的神经机制角度出发,激发或描述这些离散循环。然后我们指出,意识的协同客观还原(Orch OR)理论自然地解决了这个基本问题。在此过程中,我们回顾了来自我(维斯特)的实验室以及其他地方的独立且有力的理论和实验证据,这些证据支持Orch OR意识量子理论,即其作为神经元内微管(MTs)的一种集体量子属性。这包括在微管中室温量子效应的证明、微管共振控制活神经元中的膜尖峰发放、挥发性麻醉剂靶向微管导致无意识的证据,以及人类活体大脑中宏观纠缠态的直接生物物理证据。因此,神经元内的微管为在大脑中实现有意识主动推理提供了一种具有生物学特异性且得到实验支持的基质。