转化神经科学中基于分形的计算和转化分析:概述。

Q3 Neuroscience Advances in neurobiology Pub Date : 2024-01-01 DOI:10.1007/978-3-031-47606-8_39
Antonio Di Ieva
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引用次数: 0

摘要

在前面的 "分形:是什么,为什么?之后,本书的最后一部分介绍了进行基于分形的计算分析所需的软件工具,并特别强调了分形在神经科学中的应用。书中回顾了 ImageJ 和 MATLAB 以及其他软件包的使用。此外,还讨论了分形建模在生物工程和生物技术领域的当前和未来应用。此外,还展望了将分形与基于人工智能的方法相融合的前景,其最终目的是通过统一的大脑分形模型对神经系统疾病进行模式识别。此外,还介绍了分形分析在神经科学领域的一些新的转化应用,包括眼球跟踪分析、认知神经科学和音乐。
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Computational and Translational Fractal-Based Analysis in the Translational Neurosciences: An Overview.

After the previous sections on "Fractals: What and Why?," the last section of this book covers the software tools necessary to perform computational fractal-based analysis, with special emphasis on its applications into the neurosciences. The use of ImageJ and MATLAB, as well as other software packages, is reviewed. The current and future applications of fractal modeling in bioengineering and biotechnology are discussed as well. Perspectives on the translation of merging fractals with artificial intelligence-based methods with the final aim of pattern discrimination in neurological diseases by means of a unified fractal model of the brain are also given. Moreover, some new translational applications of fractal analysis to the neurosciences are presented, including eye tracking analysis, cognitive neuroscience, and music.

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来源期刊
Advances in neurobiology
Advances in neurobiology Neuroscience-Neurology
CiteScore
2.80
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0.00%
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0
期刊最新文献
A Self-Similarity Logic May Shape the Organization of the Nervous System. Advances in Understanding Fractals in Affective and Anxiety Disorders. Analyzing Eye Paths Using Fractals. Box-Counting Fractal Analysis: A Primer for the Clinician. Clinical Sensitivity of Fractal Neurodynamics.
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