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Neuronal avalanches

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https://www.readbyqxmd.com/read/29894659/a-brain-phase-diagram-of-neuronal-dynamics
#1
Wenyuan Li, Igor V Ovchinnikov, Honglin Chen, Zhe Wang, Albert Lee, Houchul Lee, Carlos Cepeda, Robert N Schwartz, Karlheinz Meier, Kang L Wang
The extreme complexity of the brain has attracted the attention of neuroscientists and other researchers for a long time. More recently, the neuromorphic hardware has matured to provide a tool to study neuronal dynamics. Here, we study neuronal dynamics using different sets of settings on a neuromorphic chip built with flexible parameters of neuron models. Our unique setting in the network of leaky integrate-and-fire (LIF) neurons is to introduce a weak noise environment. We observed three different types of collective neuronal activities, each with a clear boundary separating the different types of activity (phase transition)...
June 12, 2018: Neural Computation
https://www.readbyqxmd.com/read/29813052/can-a-time-varying-external-drive-give-rise-to-apparent-criticality-in-neural-systems
#2
Viola Priesemann, Oren Shriki
The finding of power law scaling in neural recordings lends support to the hypothesis of critical brain dynamics. However, power laws are not unique to critical systems and can arise from alternative mechanisms. Here, we investigate whether a common time-varying external drive to a set of Poisson units can give rise to neuronal avalanches and exhibit apparent criticality. To this end, we analytically derive the avalanche size and duration distributions, as well as additional measures, first for homogeneous Poisson activity, and then for slowly varying inhomogeneous Poisson activity...
May 29, 2018: PLoS Computational Biology
https://www.readbyqxmd.com/read/29795654/the-characteristic-patterns-of-neuronal-avalanches-in-mice-under-anesthesia-and-at-rest-an-investigation-using-constrained-artificial-neural-networks
#3
Erik D Fagerholm, Martin Dinov, Thomas Knöpfel, Robert Leech
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascades, known as neuronal avalanches, usually report the statistics of large numbers of avalanches, without probing the characteristic patterns produced by the avalanches themselves. This is partly due to limitations in the extent or spatiotemporal resolution of commonly used neuroimaging techniques...
2018: PloS One
https://www.readbyqxmd.com/read/29776048/critical-neural-networks-with-short-and-long-term-plasticity
#4
L Michiels van Kessenich, M Luković, L de Arcangelis, H J Herrmann
In recent years self organized critical neuronal models have provided insights regarding the origin of the experimentally observed avalanching behavior of neuronal systems. It has been shown that dynamical synapses, as a form of short-term plasticity, can cause critical neuronal dynamics. Whereas long-term plasticity, such as Hebbian or activity dependent plasticity, have a crucial role in shaping the network structure and endowing neural systems with learning abilities. In this work we provide a model which combines both plasticity mechanisms, acting on two different time scales...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29758702/measuring-neuronal-avalanches-in-disordered-systems-with-absorbing-states
#5
M Girardi-Schappo, M H R Tragtenberg
Power-law-shaped avalanche-size distributions are widely used to probe for critical behavior in many different systems, particularly in neural networks. The definition of avalanche is ambiguous. Usually, theoretical avalanches are defined as the activity between a stimulus and the relaxation to an inactive absorbing state. On the other hand, experimental neuronal avalanches are defined by the activity between consecutive silent states. We claim that the latter definition may be extended to some theoretical models to characterize their power-law avalanches and critical behavior...
April 2018: Physical Review. E
https://www.readbyqxmd.com/read/29467426/neuronal-avalanche-dynamics-indicates-different-universality-classes-in-neuronal-cultures
#6
Mohammad Yaghoubi, Ty de Graaf, Javier G Orlandi, Fernando Girotto, Michael A Colicos, Jörn Davidsen
Neuronal avalanches have become an ubiquitous tool to describe the activity of large neuronal assemblies. The emergence of scale-free statistics with well-defined exponents has led to the belief that the brain might operate near a critical point. Yet not much is known in terms of how the different exponents arise or how robust they are. Using calcium imaging recordings of dissociated neuronal cultures we show that the exponents are not universal, and that significantly different exponents arise with different culture preparations, leading to the existence of different universality classes...
February 21, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29410179/envelope-analysis-links-oscillatory-and-arrhythmic-eeg-activities-to-two-types-of-neuronal-synchronization
#7
Javier Díaz, Alejandro Bassi, Alex Coolen, Ennio A Vivaldi, Juan-Carlos Letelier
Traditionally, EEG is understood as originating from the synchronous activation of neuronal populations that generate rhythmic oscillations in specific frequency bands. Recently, new neuronal dynamics regimes have been identified (e.g. neuronal avalanches) characterized by irregular or arrhythmic activity. In addition, it is starting to be acknowledged that broadband properties of EEG spectrum (following a 1/f law) are tightly linked to brain function. Nevertheless, there is still no theoretical framework accommodating the coexistence of these two EEG phenomenologies: rhythmic/narrowband and arrhythmic/broadband...
May 15, 2018: NeuroImage
https://www.readbyqxmd.com/read/29378970/landau-ginzburg-theory-of-cortex-dynamics-scale-free-avalanches-emerge-at-the-edge-of-synchronization
#8
Serena di Santo, Pablo Villegas, Raffaella Burioni, Miguel A Muñoz
Understanding the origin, nature, and functional significance of complex patterns of neural activity, as recorded by diverse electrophysiological and neuroimaging techniques, is a central challenge in neuroscience. Such patterns include collective oscillations emerging out of neural synchronization as well as highly heterogeneous outbursts of activity interspersed by periods of quiescence, called "neuronal avalanches." Much debate has been generated about the possible scale invariance or criticality of such avalanches and its relevance for brain function...
February 13, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29188466/neuronal-avalanches-where-temporal-complexity-and-criticality-meet
#9
Mohammad Dehghani-Habibabadi, Marzieh Zare, Farhad Shahbazi, Javad Usefie-Mafahim, Paolo Grigolini
The model of the current paper is an extension of a previous publication, wherein we have used the leaky integrate-and-fire model on a regular lattice with periodic boundary conditions, and introduced the temporal complexity as a genuine signature of criticality. In that work, the power-law distribution of neural avalanches was a manifestation of supercriticality rather than criticality. Here, however, we show that the continuous solution of the model and replacing the stochastic noise with a Gaussian zero-mean noise leads to the coincidence of power-law display of temporal complexity, and spatiotemporal patterns of neural avalanches at the critical point...
November 21, 2017: European Physical Journal. E, Soft Matter
https://www.readbyqxmd.com/read/29115213/maintained-avalanche-dynamics-during-task-induced-changes-of-neuronal-activity-in-nonhuman-primates
#10
Shan Yu, Tiago L Ribeiro, Christian Meisel, Samantha Chou, Andrew Mitz, Richard Saunders, Dietmar Plenz
Sensory events, cognitive processing and motor actions correlate with transient changes in neuronal activity. In cortex, these transients form widespread spatiotemporal patterns with largely unknown statistical regularities. Here, we show that activity associated with behavioral events carry the signature of scale-invariant spatiotemporal clusters, neuronal avalanches. Using high-density microelectrode arrays in nonhuman primates, we recorded extracellular unit activity and the local field potential (LFP) in premotor and prefrontal cortex during motor and cognitive tasks...
November 8, 2017: ELife
https://www.readbyqxmd.com/read/28866108/characteristics-and-outcome-of-patients-with-hypothermic-out-of-hospital-cardiac-arrest-experience-from-a-european-trauma-center
#11
Elfriede Ruttmann, Marion Dietl, Tobias Kastenberger, Rene El Attal, Mathias Ströhle, Hanno Ulmer, Peter Mair
BACKGROUND: Aim of the study was to investigate patient characteristics, survival rates and neurological outcome among hypothermic patients with out-of-hospital cardiac arrest (OHCA) admitted to a trauma center. METHODS: A review of patients with OHCA and a core temperature ≤32°C admitted to a trauma center between 2004 and 2016. RESULTS: Ninety-six patients (mean temperature 25.8°C±3.9°C) were entered in the study, 37 (39%) of them after avalanche burial...
November 2017: Resuscitation
https://www.readbyqxmd.com/read/28769096/refractory-period-in-network-models-of-excitable-nodes-self-sustaining-stable-dynamics-extended-scaling-region-and-oscillatory-behavior
#12
S Amin Moosavi, Afshin Montakhab, Alireza Valizadeh
Networks of excitable nodes have recently attracted much attention particularly in regards to neuronal dynamics, where criticality has been argued to be a fundamental property. Refractory behavior, which limits the excitability of neurons is thought to be an important dynamical property. We therefore consider a simple model of excitable nodes which is known to exhibit a transition to instability at a critical point (λ = 1), and introduce refractory period into its dynamics. We use mean-field analytical calculations as well as numerical simulations to calculate the activity dependent branching ratio that is useful to characterize the behavior of critical systems...
August 2, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28644840/linking-structure-and-activity-in-nonlinear-spiking-networks
#13
Gabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown, Michael A Buice
Recent experimental advances are producing an avalanche of data on both neural connectivity and neural activity. To take full advantage of these two emerging datasets we need a framework that links them, revealing how collective neural activity arises from the structure of neural connectivity and intrinsic neural dynamics. This problem of structure-driven activity has drawn major interest in computational neuroscience. Existing methods for relating activity and architecture in spiking networks rely on linearizing activity around a central operating point and thus fail to capture the nonlinear responses of individual neurons that are the hallmark of neural information processing...
June 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28630879/imaging-cajal-s-neuronal-avalanche-how-wide-field-optical-imaging-of-the-point-spread-advanced-the-understanding-of-neocortical-structure-function-relationship
#14
REVIEW
Ron D Frostig, Cynthia H Chen-Bee, Brett A Johnson, Nathan S Jacobs
This review brings together a collection of studies that specifically use wide-field high-resolution mesoscopic level imaging techniques (intrinsic signal optical imaging; voltage-sensitive dye optical imaging) to image the cortical point spread (PS): the total spread of cortical activation comprising a large neuronal ensemble evoked by spatially restricted (point) stimulation of the sensory periphery (e.g., whisker, pure tone, point visual stimulation). The collective imaging findings, combined with supporting anatomical and electrophysiological findings, revealed some key aspects about the PS including its very large (radius of several mm) and relatively symmetrical spatial extent capable of crossing cytoarchitectural borders and trespassing into other cortical areas; its relationship with underlying evoked subthreshold activity and underlying anatomical system of long-range horizontal projections within gray matter, both also crossing borders; its contextual modulation and plasticity; the ability of its relative spatiotemporal profile to remain invariant to major changes in stimulation parameters; its potential role as a building block for integrative cortical activity; and its ubiquitous presence across various cortical areas and across mammalian species...
July 2017: Neurophotonics
https://www.readbyqxmd.com/read/28618531/noise-focusing-in-neuronal-tissues-symmetry-breaking-and-localization-in-excitable-networks-with-quenched-disorder
#15
Javier G Orlandi, Jaume Casademunt
We introduce a coarse-grained stochastic model for the spontaneous activity of neuronal cultures to explain the phenomenon of noise focusing, which entails localization of the noise activity in excitable networks with metric correlations. The system is modeled as a continuum excitable medium with a state-dependent spatial coupling that accounts for the dynamics of synaptic connections. The most salient feature is the emergence at the mesoscale of a vector field V(r), which acts as an advective carrier of the noise...
May 2017: Physical Review. E
https://www.readbyqxmd.com/read/28552964/criticality-meets-learning-criticality-signatures-in-a-self-organizing-recurrent-neural-network
#16
Bruno Del Papa, Viola Priesemann, Jochen Triesch
Many experiments have suggested that the brain operates close to a critical state, based on signatures of criticality such as power-law distributed neuronal avalanches. In neural network models, criticality is a dynamical state that maximizes information processing capacities, e.g. sensitivity to input, dynamical range and storage capacity, which makes it a favorable candidate state for brain function. Although models that self-organize towards a critical state have been proposed, the relation between criticality signatures and learning is still unclear...
2017: PloS One
https://www.readbyqxmd.com/read/28542191/spontaneous-cortical-activity-is-transiently-poised-close-to-criticality
#17
Gerald Hahn, Adrian Ponce-Alvarez, Cyril Monier, Giacomo Benvenuti, Arvind Kumar, Frédéric Chavane, Gustavo Deco, Yves Frégnac
Brain activity displays a large repertoire of dynamics across the sleep-wake cycle and even during anesthesia. It was suggested that criticality could serve as a unifying principle underlying the diversity of dynamics. This view has been supported by the observation of spontaneous bursts of cortical activity with scale-invariant sizes and durations, known as neuronal avalanches, in recordings of mesoscopic cortical signals. However, the existence of neuronal avalanches in spiking activity has been equivocal with studies reporting both its presence and absence...
May 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28507231/biological-modelling-of-a-computational-spiking-neural-network-with-neuronal-avalanches
#18
Xiumin Li, Qing Chen, Fangzheng Xue
In recent years, an increasing number of studies have demonstrated that networks in the brain can self-organize into a critical state where dynamics exhibit a mixture of ordered and disordered patterns. This critical branching phenomenon is termed neuronal avalanches. It has been hypothesized that the homeostatic level balanced between stability and plasticity of this critical state may be the optimal state for performing diverse neural computational tasks. However, the critical region for high performance is narrow and sensitive for spiking neural networks (SNNs)...
June 28, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28489906/neocortical-activity-is-stimulus-and-scale-invariant
#19
Yahya Karimipanah, Zhengyu Ma, Jae-Eun Kang Miller, Rafael Yuste, Ralf Wessel
Mounting evidence supports the hypothesis that the cortex operates near a critical state, defined as the transition point between order (large-scale activity) and disorder (small-scale activity). This criticality is manifested by power law distribution of the size and duration of spontaneous cascades of activity, which are referred as neuronal avalanches. The existence of such neuronal avalanches has been confirmed by several studies both in vitro and in vivo, among different species and across multiple spatial scales...
2017: PloS One
https://www.readbyqxmd.com/read/28469176/subsampling-scaling
#20
A Levina, V Priesemann
In real-world applications, observations are often constrained to a small fraction of a system. Such spatial subsampling can be caused by the inaccessibility or the sheer size of the system, and cannot be overcome by longer sampling. Spatial subsampling can strongly bias inferences about a system's aggregated properties. To overcome the bias, we derive analytically a subsampling scaling framework that is applicable to different observables, including distributions of neuronal avalanches, of number of people infected during an epidemic outbreak, and of node degrees...
May 4, 2017: Nature Communications
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