哪些模型和工具有助于更好地了解大脑活动?

Frontiers in network physiology Pub Date : 2022-07-18 eCollection Date: 2022-01-01 DOI:10.3389/fnetp.2022.907995
Marc Goodfellow, Ralph G Andrzejak, Cristina Masoller, Klaus Lehnertz
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引用次数: 0

摘要

尽管在了解人类大脑的结构和功能方面取得了令人瞩目的科学进步,但仍然存在巨大的挑战。我们需要在广泛的时间和空间尺度上深入了解健康和异常的大脑活动。在这里,我们将从跨学科网络的角度讨论物理和数学建模以及数据分析技术方面的进展,我们认为这些技术有可能进一步推动我们对大脑结构和功能的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Models and Tools can Contribute to a Better Understanding of Brain Activity?

Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here we discuss, from an interdisciplinary network perspective, the advancements in physical and mathematical modeling as well as in data analysis techniques that, in our opinion, have potential to further advance our understanding of brain structure and function.

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