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Cooperative effect of random and time-periodic coupling strength on synchronization transitions in one-way coupled neural system: mean field approach
2017
Cognitive Neurodynamics
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The cooperative effect of random coupling strength and time-periodic coupling strengh on synchronization transitions in one-way coupled neural system has been investigated by mean field approach. ...
Furthermore, it is found that the novel CCS amplitude-induced synchronization transitions and CCS frequency-induced synchronization transitions are found. ...
) on synchronization transitions in coupled neural system by mean-field approach. ...
doi:10.1007/s11571-017-9437-1
pmid:28761557
pmcid:PMC5509614
fatcat:xabd3l37tjbz5hrnpkvxktbpye
Beta-Rhythm Oscillations and Synchronization Transition in Network Models of Izhikevich Neurons: Effect of Topology and Synaptic Type
2018
Frontiers in Computational Neuroscience
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Synchronization in neuronal networks have attracted much attention in recent years with the main focus on transition type. ...
In this study we consider the effect of synaptic interaction (electrical and chemical) as well as structural connectivity on synchronization transition in network models of Izhikevich neurons which spike ...
This work has been supported in part by a grant from the Cognitive Sciences and Technologies Council. We would also like to thank Alireza Valizadeh for many useful conversations throughout this work. ...
doi:10.3389/fncom.2018.00059
pmid:30154708
fatcat:fmmfmjobu5bvpbwm22nuwmzf6u
Explosive, continuous and frustrated synchronization transition in spiking Hodgkin–Huxley neural networks: The role of topology and synaptic interaction
2020
Physica D : Non-linear phenomena
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2020 pre-print arXiv:2001.07783v1 fatcat:l4tmysrhi5dx3bjmmvsxirhovy
However, synchronization properties of biologically-motivated neural models depend on the firing frequencies. ...
In gamma-band, network regularity suppresses transition while randomness promotes a continuous transition. ...
From this perspective, a slight increase in neural interactions might lead to a synchronization transition in lo-cal neural circuits. ...
doi:10.1016/j.physd.2020.132399
fatcat:qnvztsnjvbepxnjmcxnbjrudya
Explosive synchronization transitions in complex neural networks
2013
Chaos
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2012 pre-print arXiv:1204.1816v1 fatcat:ictvvymmt5cctbsjsl7mrmixneOther Versions
In contrast to the results in BA networks, in more homogeneous ER networks the synchronization transition is always of continuous type regardless of the the width of the frequency distribution. ...
It has been recently reported that explosive synchronization transitions can take place in networks of phase oscillators [Gómez-Gardeñes et al. ...
In contrast to the results in BA networks, in more homogeneous ER networks the synchronization transition is always of continuous type regardless of the the width of the frequency distribution. ...
doi:10.1063/1.4818543
pmid:24089960
fatcat:cydgpv2yeffy3lev5zfpmhkqcq
Disinhibition-induced transitions between absence and tonic-clonic epileptic seizures
2015
Scientific Reports
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For grand-mal seizures, there exists a tonic phase in the electroencephalograph (EEG) 3 , which can be characterized by the neural paroxysmal fast activity with high frequency (> 13 Hz) and low amplitude ...
Based on a modified spatially-extended Taylor & Baier neural field model, we here propose a computational framework to mathematically describe the transition dynamics between these epileptic seizures. ...
To explore the spatial feature of neural populations, such as synchronization, the spatially-extended neural field network should be established. ...
doi:10.1038/srep12618
pmid:26224066
pmcid:PMC4519733
fatcat:tzw6xdpwnffetp2zyd6mra4w54
Synchronization in a noise-driven developing neural network
2011
Physical Review E
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Structurally, the constructed neural networks in our simulations exhibit the small-world properties that have been observed in several neural networks. ...
At the connectivity of 0.86, all neurons fire synchronously at the network frequency. ...
The synchronization frequency of neural networks Fast network oscillations (from 40 to 200 Hz) have been observed in both in vivo and in vitro experiments [44, 45] . In Sec. ...
doi:10.1103/physreve.84.051923
pmid:22181460
fatcat:hwr4dojd3fgdpaxfzfdq7rfjdu
Phase transitions in cortical dynamics explain improved information processing under attention
2013
BMC Neuroscience
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These critical states are indicators of a phase transition from an asynchronous regime of activity in the network towards a synchronous regime. ...
a strong increase of oscillations in the gamma frequency band (35-90 Hz) [2] . ...
These critical states are indicators of a phase transition from an asynchronous regime of activity in the network towards a synchronous regime. ...
doi:10.1186/1471-2202-14-s1-p126
pmcid:PMC3704540
fatcat:v4hozlru7ba6nhwdoiglaniaq4
The Development of Neural Synchrony and Large-Scale Cortical Networks During Adolescence: Relevance for the Pathophysiology of Schizophrenia and Neurodevelopmental Hypothesis
2011
Schizophrenia Bulletin
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Recent data from developmental cognitive neuroscience highlight the profound changes in the organization and function of cortical networks during the transition from adolescence to adulthood. ...
circuits that in turn promote the precise temporal coding of neural activity. ...
Acknowledgment The Authors have declared that there are no conflicts of interest in relation to the subject of this study. ...
doi:10.1093/schbul/sbr034
pmid:21505118
pmcid:PMC3080681
fatcat:34laxshjkvbazdrvkozq5t4gq4
Stochastic modulation of oscillatory neural activity
2014
BMC Neuroscience
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Rhythmic neural activity plays a central role in neural computation. ...
Moreover, we show that noise alone may support frequency transition via a nonnonlinear mechanism that operates in addition to resonance. ...
Moreover, we show that noise alone may support frequency transition via a nonnonlinear mechanism that operates in addition to resonance. ...
doi:10.1186/1471-2202-15-s1-p80
pmcid:PMC4126563
fatcat:ntcbswu6vzd37jd3thexzpmzd4
Mechanisms of hysteresis in human brain networks during transitions of consciousness and unconsciousness: Theoretical principles and empirical evidence
2018
PLoS Computational Biology
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Furthermore, we studied conditions of explosive synchronization in anatomically informed human brain network models. ...
In particular, we hypothesized that the principle of explosive synchronization, which can mediate abrupt state transitions, would be critical to explaining hysteresis in the brain during conscious state ...
Quantification of hysteresis in functional brain networks Temporal coordination of neural activity is a necessary condition for neural communication in the brain [27] . ...
doi:10.1371/journal.pcbi.1006424
pmid:30161118
fatcat:nxxprfoktbatjlc4gugasiqjpe
Synchrony-based integration of EEG and fMRI-BOLD in cognitive state transitions
2007
BMC Neuroscience
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Recent data shows that low frequency oscillatory activity in the BOLD signal (< 1 Hz) correlates activity in functional neural networks. ...
Background Both EEG and the blood-oxygen-dependent contrast (BOLD) signal used in fMRI are believed to reveal reentrant signaling among complexly connected and dynamically reconfigured neural networks. ...
doi:10.1186/1471-2202-8-s2-p136
fatcat:pyu2v37gwjawxdllzinw3oak3a
On Synchronizing Coupled Retinogeniculocortical Pathways: A Toy Model
2018
Computational Intelligence and Neuroscience
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The whole neural network is considered as a toy model of mammalian visual pathways. ...
A Newman-Watts graph is formed by including random links in a regular lattice. Here, the emergence of synchronization in coupled Newman-Watts graphs is studied. ...
The time evolution of the activity of this neural network is driven by the following rules of state transitions [9] . ...
doi:10.1155/2018/6858176
pmid:29706991
pmcid:PMC5863315
fatcat:yvizt6yzhjd25im3czneinzt3a
Machine learning approaches for Kuramoto coupled oscillator systems
[article]
2021
arXiv
pre-print
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and criticality of a hybrid synchronization transition; understanding network structures from chaotic patterns; and comparison of ML algorithms for the prediction of future chaotic behaviors. ...
The proposed method is expected to be useful for further problems such as understanding a neural network structure from electroencephalogram signals. ...
The KM iv) with the degree-frequency correlation on scale-free networks exhibits a second-order (first-order) synchronization transition when the exponent of degree distribution γ > 3 (2 < γ < 3) under ...
arXiv:2109.08918v1
fatcat:flbojsvimvdydl4hxrgjq46ghm
Explosive synchronization with partial degree-frequency correlation
2015
Physical Review E
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Moreover, we show that a partial degree-frequency correlation does not only promotes but also allows explosive synchronization to happen in networks for which a full degree-frequency correlation would ...
We perform exhaustive numerical experiments for synthetic networks and also for the undirected and unweighted version of the neural network of the worm Caenorhabditis elegans. ...
In other words, a partial degree-frequency correlation suffices to induce a phase transition in this network. ...
doi:10.1103/physreve.91.022818
pmid:25768563
fatcat:e5o654e5wnhengf4n4lrg37cxa
Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons
2014
Cognitive Neurodynamics
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the cortex, thalamocortical relay neurons, thalamic reticular neurons, hippocampal pyramidal neurons, Purkinje cells in the cerebellum, pancreatic -cells, and respiratory neurons in pre-Botzinger complex ...
Bursting: Neuronal activity alternates, on a slow timescale, between a silent phase and an active (bursting) phase of fast repetitive spikings Representative examples of bursting neurons: chattering neurons in ...
Synchronization in Random Neural Network
4
State Diagram
Instantaneous population firing rates:
Effect of Network Architecture on the Burst and Spike Synchronization (
2
2
2
/
...
doi:10.1007/s11571-014-9314-0
pmid:25834648
pmcid:PMC4378566
fatcat:bfvnobrzhrdm7pcnxp5wvt56tu
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