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While information processing in complex systems can be described in abstract, general terms, there are cases in which the relation between these computations and the physical substrate of the underlying system is itself of interest.…

神经元与认知 · 定量生物学 2017-08-16 Pedro A. M. Mediano , Murray Shanahan

Neuronal avalanche is a spontaneous neuronal activity which obeys a power-law distribution of population event sizes with an exponent of -3/2. It has been observed in the superficial layers of cortex both \emph{in vivo} and \emph{in vitro}.…

神经元与认知 · 定量生物学 2015-06-04 Xiumin Li , Michael Small

Spontaneous neuronal activity is a ubiquitous feature of cortex. Its spatiotemporal organization reflects past input and modulates future network output. Here we study whether a particular type of spontaneous activity is generated by a…

神经元与认知 · 定量生物学 2009-11-09 Woodrow L. Shew , Hongdian Yang , Thomas Petermann , Rajarshi Roy , Dietmar Plenz

Neuronal avalanches, measured in vitro and in vivo, exhibit a robust critical behaviour. Their temporal organization hides the presence of correlations. Here we present experimental measurements of the waiting time distribution between…

神经元与认知 · 定量生物学 2012-04-30 F. Lombardi , H. J. Herrmann , C. Perrone-Capano , D. Plenz , L. de Arcangelis

Neuronal avalanches are a novel mode of activity in neuronal networks, experimentally found in vitro and in vivo, and exhibit a robust critical behaviour: These avalanches are characterized by a power law distribution for the size and…

神经元与认知 · 定量生物学 2012-04-02 Lucilla de Arcangelis , Hans J. Herrmann

The nervous system encodes continuous information from the environment in the form of discrete spikes, and then decodes these to produce smooth motor actions. Understanding how spikes integrate, represent, and process information to produce…

神经与进化计算 · 计算机科学 2017-11-15 Madhavun Candadai Vasu , Eduardo Izquierdo

Understanding how the complex connectivity structure of the brain shapes its information-processing capabilities is a long-standing question. By focusing on a paradigmatic architecture, we study how the neural activity of excitatory and…

统计力学 · 物理学 2024-10-18 Giacomo Barzon , Daniel Maria Busiello , Giorgio Nicoletti

Cortical networks exhibit synchronized activity which often occurs in spontaneous events in the form of spike avalanches. Since synchronization has been causally linked to central aspects of brain function such as selective signal…

神经元与认知 · 定量生物学 2022-02-08 Maik Schünemann , Udo Ernst , Marc Kesseböhmer

We study a new biologically motivated model for the Macaque monkey primary visual cortex which presents power-law avalanches after a visual stimulus. The signal propagates through all the layers of the model via avalanches that depend on…

神经元与认知 · 定量生物学 2016-11-21 G. S. Bortolotto , M. Girardi-Schappo , J. J. Gonsalves , L. T. Pinto , M. H. R. Tragtenberg

We study a model of spiking neurons, with recurrent connections that result from learning a set of spatio-temporal patterns with a spike-timing dependent plasticity rule and a global inhibition. We investigate the ability of the network to…

神经元与认知 · 定量生物学 2020-04-22 S. Scarpetta , A. de Candia

We show that the entropy of the distribution of avalanche lifetimes in the Kinouchi-Copelli model always achieves a maximum jointly with the dynamic range. This is noteworthy and nontrivial because while the dynamic range is an equilibrium…

生物物理 · 物理学 2013-07-15 Thiago S. Mosqueiro , Leonardo P. Maia

Cortical neural circuits display highly irregular spiking in individual neurons but variably sized collective firing, oscillations and critical avalanches at the population level, all of which have functional importance for information…

无序系统与神经网络 · 物理学 2021-01-08 Junhao Liang , Tianshou Zhou , Changsong Zhou

Cortical networks, in-vitro as well as in-vivo, can spontaneously generate a variety of collective dynamical events such as network spikes, UP and DOWN states, global oscillations, and avalanches. Though each of them have been variously…

神经元与认知 · 定量生物学 2015-11-30 Guido Gigante , Gustavo Deco , Shimon Marom , Paolo Del Giudice

In this work, we report the preliminary analysis of the electrophysiological behavior of in vitro neuronal networks to identify when the networks are in a critical state based on the size distribution of network-wide avalanches of activity.…

神经元与认知 · 定量生物学 2019-07-31 Kristine Heiney , Ola Huse Ramstad , Ioanna Sandvig , Axel Sandvig , Stefano Nichele

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

The activity of neurons within brain circuits has been ubiquitously reported to be correlated. The impact of these correlations on brain function has been extensively investigated. Correlations can in principle increase or decrease the…

神经元与认知 · 定量生物学 2025-07-24 Miguel Ibáñez-Berganza , Giulio Bondanelli , Stefano Panzeri

As shown recently (arXiv:0801.3056), several types of neuronal complex networks involving non-linear integration-and-fire dynamics exhibit an abrupt activation along their transient regime. Interestingly, such an avalanche of activation has…

物理与社会 · 物理学 2008-02-05 Luciano da Fontoura Costa

Scale-invariant neuronal avalanches have been observed in cell cultures and slices as well as anesthetized and awake brains, suggesting that the brain operates near criticality, i.e. within a narrow margin between avalanche propagation and…

Balance of excitation and inhibition is a fundamental feature of in vivo network activity and is important for its computations. However, its presence in the neocortex of higher mammals is not well established. We investigated the dynamics…

In network models of spiking neurons, the joint impact of network structure and synaptic parameters on activity propagation is still an open problem. Here we use an information-theoretical approach to investigate activity propagation in…

神经元与认知 · 定量生物学 2020-04-14 Rodrigo F. O. Pena , Vinicius Lima , Renan O. Shimoura , João P. Novato , Antonio C. Roque
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