Super special relativity.

IF 2.3 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Frontiers in Computational Neuroscience Pub Date : 2025-08-13 eCollection Date: 2025-01-01 DOI:10.3389/fncom.2025.1597914

Nicholas Jordan Wagter

引用次数: 0

Abstract

This paper proposes a new theoretical framework for understanding time perception centered on information processing in the brain. We introduce the concept of "perceptual time" as distinct from inertial clock time and develop a model relating perceptual time experience to the brain's computational capacity and information processing rate. This framework explains phenomena like time dilation and compression during intense experiences in terms of neural information processing, bridging perceptual time with physical theories of time.

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超级狭义相对论。

本文提出了一个新的理论框架来理解以大脑信息加工为中心的时间感知。我们引入了不同于惯性时钟时间的“感知时间”的概念，并建立了一个将感知时间经验与大脑的计算能力和信息处理速率联系起来的模型。这个框架从神经信息处理的角度解释了强烈体验中的时间膨胀和压缩等现象，将感知时间与物理时间理论联系起来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Computational Neuroscience MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

5.30

自引率

3.10%

发文量

166

审稿时长

6-12 weeks

期刊介绍： Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions. Also: comp neuro