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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

Shi Jiancheng, Luo Min, Huang Chusheng
2017 Cognitive Neurodynamics  
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

Mahsa Khoshkhou, Afshin Montakhab
2018 Frontiers in Computational Neuroscience  
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

Mahsa Khoshkhou, Afshin Montakhab
2020 Physica D : Non-linear phenomena  
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

Hanshuang Chen, Gang He, Feng Huang, Chuansheng Shen, Zhonghuai Hou
2013 Chaos  
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

Denggui Fan, Qingyun Wang, Matjaž Perc
2015 Scientific Reports  
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

I.-H. Lin, R.-K. Wu, C.-M. Chen
2011 Physical Review E  
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

Nergis Tomen, Udo Ernst
2013 BMC Neuroscience  
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

P. J. Uhlhaas, W. Singer
2011 Schizophrenia Bulletin  
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

Jérémie Lefebvre, Axel Hutt, Kevin Whittingstall, Micah M Murray
2014 BMC Neuroscience  
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

Hyoungkyu Kim, Joon-Young Moon, George A. Mashour, UnCheol Lee, Saad Jbabdi
2018 PLoS Computational Biology  
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

Nathan Dees, Linda Larson-Prior, Tracy Nolan, David Politte, Fred Prior, Sonya Bahar
2007 BMC Neuroscience  
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

B. L. Mayer, L. H. A. Monteiro
2018 Computational Intelligence and Neuroscience  
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]

Je Ung Song, K. Choi, B. Kahng
2021 arXiv   pre-print
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

Rafael S. Pinto, Alberto Saa
2015 Physical Review E  
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

Sang-Yoon Kim, Woochang Lim
2014 Cognitive Neurodynamics  
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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