This paper presents a novel information-theoretic proof demonstrating that the human brain as currently understood cannot function as a classical digital computer. Through systematic quantification of distinguishable conscious states and their historical dependencies, we establish that the minimum information required to specify a conscious state exceeds the physical information capacity of the human brain by a significant factor. Our analysis calculates the bit-length requirements for representing consciously distinguishable sensory "stimulus frames" and demonstrates that consciousness exhibits mandatory temporal-historical dependencies that multiply these requirements beyond the brain's storage capabilities. This mathematical approach offers new insights into the fundamental limitations of computational models of consciousness and suggests that non-classical information processing mechanisms may be necessary to account for conscious experience.

本研究探讨了人脑无法作为经典数字计算机的原因，揭示了意识状态所需信息量超过人脑物理信息容量的现象。通过量化可区分的意识状态及其历史依赖性，提出了新的数学分析，强调了意识的计算模型的根本局限性，暗示了需要非经典信息处理机制来解释意识体验。

为什么大脑不能成为数字计算机：历史依赖性和意识的计算极限