大脑的信息处理有三个层次
1I. P. Pavlov Institute of Physiology, nab Makarova 6, 199034, St Petersburg, Russian Federation.
Bio Systems
|May 28, 2023
概括
意识可以通过散来解释,将信息简化为质量. 这一过程,即质量相关计算 (Qualia-associated computations,QAC),使大脑能够掌握一般规律,在人工智能上提供了优势.
科学领域:
- 神经科学是一个神经科学.
- 信息理论 信息理论
- 物理 物理学 物理
背景情况:
- 大脑中的信息处理发生在多个层面,包括数字计算 (DC) 和神经网络计算 (NNC).
- 主观意识和质量代表了信息处理的第三个,不太了解的层面.
- 当前的物理理论努力解释质量的存在和功能.
研究的目的:
- 提出一个理论框架来理解意识在物理定律.
- 解释主观意识和质量作为散的产物.
- 为了区分质量相关计算 (QAC) 与DC和NNC.
主要方法:
- 在大脑中信息处理的理论建模.
- 将意识概念化为散的后果.
- 将质量相关计算 (QAC) 与数字计算 (DC) 和神经网络计算 (NNC) 进行比较.
主要成果:
- 意识被认为是物理定律的延伸,特别是导致系统简化的总消散.
- 通过这个过程,大脑将神经信息转化为更简单,更紧的形式 (qualia).
- 质量相关计算 (QAC) 能够识别一般规律和关系,与近似的DC和NNC不同.
结论:
- 意识,通过质量,允许比人工智能更深入地理解一般规律.
- 质量相关计算 (QAC) 为认知任务和行为编程提供了显著的优势.
- 这种由驱动的模型为主观经验的物理基础提供了新的视角.
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