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相关论文: Brain activity on a hypersphere

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Brain functional connectivity alterations, that is, pathological changes in the signal exchange between areas of the brain, occur in several neurological diseases, including neurodegenerative and neuropsychiatric ones. They consist in…

神经元与认知 · 定量生物学 2026-03-25 Maria Mannone , Patrizia Ribino , Peppino Fazio , Norbert Marwan

Spatial awareness in mammals is based on internalized representations of the environment---cognitive maps---encoded by networks of spiking neurons. Although behavioral studies suggest that these maps can remain stable for long periods, it…

神经元与认知 · 定量生物学 2019-09-18 Yuri Dabaghian

The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the brain has been one of the top priorities of science and…

Present day computers expend orders of magnitude more computational resources to perform various cognitive and perception related tasks that humans routinely perform everyday. This has recently resulted in a seismic shift in the field of…

新兴技术 · 计算机科学 2017-12-22 Abhronil Sengupta , Kaushik Roy

How human brain function emerges from structure has intrigued researchers for decades and numerous models have been put forward, yet none of them yields a close structure-function relation. Here we present a resonance model based on…

神经元与认知 · 定量生物学 2022-10-10 Yanjiang Wang , Jichao Ma , Jiebin Luo , Xue Chen , Yue Yuan

Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key evidence from neuroimaging data for pathological commonness remains unrevealed. To explore this hypothesis,…

人工智能 · 计算机科学 2023-02-24 Mianxin Liu , Jingyang Zhang , Yao Wang , Yan Zhou , Fang Xie , Qihao Guo , Feng Shi , Han Zhang , Qian Wang , Dinggang Shen

In neuroscience, functional brain connectivity describes the connectivity between brain regions that share functional properties. Neuroscientists often characterize it by a time series of covariance matrices between functional measurements…

统计方法学 · 统计学 2019-07-09 Zhenhua Lin , Dehan Kong , Qiang Sun

Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encoding models typically comprise a nonlinear transformation of…

神经元与认知 · 定量生物学 2017-03-13 Umut Güçlü , Marcel A. J. van Gerven

The spiking activity of the hippocampal place cells plays a key role in producing and sustaining an internalized representation of the ambient space---a cognitive map. These cells do not only exhibit location-specific spiking during…

神经元与认知 · 定量生物学 2018-11-05 Andrey Babichev , Dmitriy Morozov , Yuri Dabaghian

Conceptual and mathematical models of neurons have lagged behind empirical understanding for decades. Here we extend previous work in modeling biological systems with fully scale-independent quantum information-theoretic tools to develop a…

神经元与认知 · 定量生物学 2022-07-21 Chris Fields , James F. Glazebrook , Michael Levin

The space of possible behaviors complex biological systems may exhibit is unimaginably vast, and these systems often appear to be stochastic, whether due to variable noisy environmental inputs or intrinsically generated chaos. The brain is…

神经元与认知 · 定量生物学 2025-04-01 Jacob T. Crosser , Braden A. W. Brinkman

Identifying what aspects of brain activity are responsible for conscious perception remains one of the most challenging problems in science. While progress has been made through psychophysical studies employing EEG and fMRI, research would…

神经元与认知 · 定量生物学 2025-07-14 Daniel K. Freeman , Brian Odegaard , Seung-Schik Yoo , Matthias Michel

Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and carries markers of brain pathologies. An important view of modern neuroscience is…

机器学习 · 统计学 2010-11-15 Gaël Varoquaux , Alexandre Gramfort , Jean Baptiste Poline , Bertrand Thirion

A common approach to interpreting spiking activity is based on identifying the firing fields---regions in physical or configuration spaces that elicit responses of neurons. Common examples include hippocampal place cells that fire at…

神经元与认知 · 定量生物学 2021-08-10 D. Akhtiamov , A. G. Cohn , Y. Dabaghian

The brain achieves stability and plasticity in a topologically complex, shifting world through Metric-Topology Factorization (MTF), separating discrete topological indexing for context selection from continuous metric condensation for local…

神经元与认知 · 定量生物学 2026-03-05 Xin Li

The brain can be considered as a system that dynamically optimizes the structure of anatomical connections based on the efficiency requirements of functional connectivity. To illustrate the power of this principle in organizing the…

神经元与认知 · 定量生物学 2024-02-07 Carlos Calvo Tapia , Valeriy A. Makarov Slizneva , Cees van Leeuwen

Small-World Networks (SWNs) represent a fundamental model for the comprehension of many complex man-made and biological networks. In the central nervous system, SWN models have been shown to fit well both anatomical and functional maps at…

In the last decade, network science has shed new light both on the structural (anatomical) and on the functional (correlations in the activity) connectivity among the different areas of the human brain. The analysis of brain networks has…

物理与社会 · 物理学 2017-04-18 Federico Battiston , Vincenzo Nicosia , Mario Chavez , Vito Latora

One fascinating aspect of the brain is its ability to process information in a fast and reliable manner. The functional architecture is thought to play a central role in this task, by encoding efficiently complex stimuli and facilitating…

神经元与认知 · 定量生物学 2016-02-17 Alberto Romagnoni , Jérôme Ribot , Daniel Bennequin , Jonathan D. Touboul

Cortical activity recorded through EEG and MEG reflects complex dynamics that span multiple temporal and spatial scales. Spectral analyses of these signals consistently reveal power-law behaviour, a hallmark of turbulent systems. In this…

适应与自组织系统 · 物理学 2025-08-01 Gerald Kaushallye Cooray