神经场谱 1/f-Like 行为的一般噪声驱动机制

IF 2.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neural Computation Pub Date : 2024-07-19 DOI:10.1162/neco_a_01682

Mark A. Kramer;Catherine J. Chu

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引用次数: 0

摘要

对各种记录模式、实验和神经系统的一致观察发现，神经场频谱具有类似 1/f 的缩放，这引发了许多替代理论来解释这一普遍现象。我们的研究表明，一个具有随机驱动力和最小假设的一般动力系统能产生与体内观察到的数值范围一致的 1/f 类频谱，而不需要特定的生物机制或集体临界行为。

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A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra

Consistent observations across recording modalities, experiments, and neural systems find neural field spectra with 1/f-like scaling, eliciting many alternative theories to explain this universal phenomenon. We show that a general dynamical system with stochastic drive and minimal assumptions generates 1/f-like spectra consistent with the range of values observed in vivo without requiring a specific biological mechanism or collective critical behavior.

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来源期刊

Neural Computation 工程技术-计算机：人工智能

CiteScore

6.30

自引率

3.40%

发文量

审稿时长

3.0 months

期刊介绍： Neural Computation is uniquely positioned at the crossroads between neuroscience and TMCS and welcomes the submission of original papers from all areas of TMCS, including: Advanced experimental design; Analysis of chemical sensor data; Connectomic reconstructions; Analysis of multielectrode and optical recordings; Genetic data for cell identity; Analysis of behavioral data; Multiscale models; Analysis of molecular mechanisms; Neuroinformatics; Analysis of brain imaging data; Neuromorphic engineering; Principles of neural coding, computation, circuit dynamics, and plasticity; Theories of brain function.

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