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The concept of the brain as a critical system is very attractive because systems close to criticality are thought to maximise their dynamic range of information processing and communication. To date, there have been two key experimental…

无序系统与神经网络 · 物理学 2014-10-22 Maria Botcharova , Simon F. Farmer , Luc Berthouze

Sleep is crucial for daytime functioning, cognitive performance and general well-being. These aspects of daily life are known to be impaired after extended wake, yet, the underlying neuronal correlates have been difficult to identify.…

神经元与认知 · 定量生物学 2017-06-14 Christian Meisel , Kimberlyn Bailey , Peter Achermann , Dietmar Plenz

Critical branching is a theoretical interaction in-between simple units, such as neuronal elements of the human brain. Zhigalov, Kaplan, and Palva (2016, Clin. Neurophysiol., 127(8), 2882-2889) revealed that neurofeedback flash stimulation…

神经元与认知 · 定量生物学 2017-02-22 Tom Campbell

The existence of power-law distributions is only a first requirement in the validation of the critical behavior of a system. Long-range spatio-temporal correlations are fundamental for the spontaneous neuronal activity to be the expression…

统计力学 · 物理学 2018-11-27 Fabrizio Lombardi , Hans J. Herrmann , L. de Arcangelis

Converging research suggests that the resting brain operates at the cusp of dynamic instability signified by scale-free temporal correlations. We asked if the scaling properties of these correlations differ between amplitude and phase…

神经元与认知 · 定量生物学 2015-12-09 Robert Ton , Gustavo Deco , Morten L Kringelbach , Mark Woolrich , Andreas Daffertshofer

Small continuous sensory and mechanical perturbations have often been used to identify properties of the closed-loop neural control of posture and other systems that are approximately linear time invariant. Here we extend this approach to…

神经元与认知 · 定量生物学 2016-10-31 Tim Kiemel , David Logan , John J. Jeka

Neural synchronization is believed to be critical for many brain functions. It frequently exhibits temporal variability, but it is not known if this variability has a specific temporal patterning. This study explores these…

神经元与认知 · 定量生物学 2013-03-11 Sungwoo Ahn , Leonid L. Rubchinsky

Similar activity patterns may arise from model neural networks with distinct coupling properties and individual unit dynamics. These similar patterns may, however, respond differently to parameter variations and, specifically, to tuning of…

神经元与认知 · 定量生物学 2023-06-16 Zhuojun Yu , Jonathan E. Rubin , Peter J. Thomas

Oscillatory activities are widely observed in specific frequency bands of recorded field potentials in different brain regions, and play critical roles in processing neural information. Understanding the structure of these oscillatory…

神经元与认知 · 定量生物学 2015-07-23 Pengsheng Zheng

The idea that information-processing systems operate near criticality to enhance computational performance is supported by scaling signatures in brain activity. However, external signals raise the question of whether this behavior is…

神经元与认知 · 定量生物学 2026-02-10 Rubén Calvo , Carles Martorell , Adrián Roig , Miguel A. Muñoz

The critical brain hypothesis posits that neural circuitry operates near criticality to reap the computational benefits of accessing a wide range of timescales. The theory of critical phenomena generally predicts heavy-tailed (power-law)…

神经元与认知 · 定量生物学 2025-12-23 Jacob T. Crosser , Braden A. W. Brinkman

Synaptic plasticity is vital for learning and memory in the brain. It consists of long-term potentiation (LTP) and long-term depression (LTD). Spike frequency is one of the major components of synaptic plasticity in the brain, a noisy…

神经元与认知 · 定量生物学 2021-08-13 Yuto Takeda , Katsuhiko Hata , Tokio Yamasaki , Masaki Kaneko , Osamu Yokoi , Chengta Tsai , Kazuo Umemura , Tetsuro Nikuni

Population-wide oscillations are ubiquitously observed in mesoscopic signals of cortical activity. In these network states a global oscillatory cycle modulates the propensity of neurons to fire. Synchronous activation of neurons has been…

神经元与认知 · 定量生物学 2017-07-04 Tobias Kühn , Moritz Helias

Over the past two decades, an increasing array of control-theoretic methods have been used to study the brain as a complex dynamical system and better understand its structure-function relationship. This article provides an overview on one…

神经元与认知 · 定量生物学 2024-10-18 Michael McCreesh , Erfan Nozari , Jorge Cortes

Experimental and numerical results suggest that the brain can be viewed as a system acting close to a critical point, as confirmed by scale-free distributions of relevant quantities in a variety of different systems and models. Less…

神经元与认知 · 定量生物学 2020-11-25 Dario Raimo , Alessandro Sarracino , Lucilla de Arcangelis

Brain rhythms contribute to every aspect of brain function. Here, we study critical and resonance phenomena that precede the emergence of brain rhythms. Using an analytical approach and simulations of a cortical circuit model of neural…

无序系统与神经网络 · 物理学 2015-06-12 A. V. Goltsev , M. A. Lopes , K. -E. Lee , J. F. F. Mendes

The scaling property of the brain dynamics is studied based on the zero-crossing of the local electroencephalographic (EEG) recording taken from healthy young adults in eyes closed and eyes open. Evidence of coupling between the EEG fractal…

生物物理 · 物理学 2007-05-23 Der Chyan Lin , Asif Sharif , Hon Kwan

Spontaneous oscillations measured by Local field potentials (LFPs), electroencephalograms and magnetoencephalograms exhibits variety of oscillations spanning frequency band ($1-100$ Hz) in animals and humans. Both instantaneous power and…

神经元与认知 · 定量生物学 2025-02-25 Rakesh Sengupta , P V Raja Shekar

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

Adaptive behavior, cognition and emotion are the result of a bewildering variety of brain spatiotemporal activity patterns. An important problem in neuroscience is to understand the mechanism by which the human brain's 100 billion neurons…

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