Cargando…

Synchronization from Second Order Network Connectivity Statistics

We investigate how network structure can influence the tendency for a neuronal network to synchronize, or its synchronizability, independent of the dynamical model for each neuron. The synchrony analysis takes advantage of the framework of second order networks, which defines four second order conne...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Liqiong, Beverlin, Bryce, Netoff, Theoden, Nykamp, Duane Q.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Research Foundation 2011
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134837/ https://www.ncbi.nlm.nih.gov/pubmed/21779239 http://dx.doi.org/10.3389/fncom.2011.00028

Ejemplares similares

Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation
por: Beverlin II, Bryce, et al.
Publicado: (2013)

Dynamical effects of antiepileptic drugs on neurons affect network synchronizability
por: Netoff, Theoden, et al.
Publicado: (2010)

Chaotic Desynchronization as the Therapeutic Mechanism of Deep Brain Stimulation
por: Wilson, Charles J., et al.
Publicado: (2011)

Disruption of tonic-clonic seizures using periodic stimulation of model neurons
por: Beverlin, Bryce, et al.
Publicado: (2011)

Network structure predicted by second order motifs
por: Nichols, David J, et al.
Publicado: (2010)

Chaotic decorrelation of Globus Pallidus by periodic forcing: a possible mechanism for the therapeutic effects of deep brain stimulation
por: Wilson, Charles J, et al.
Publicado: (2011)

Measuring synchronous bursting and spiking under varying second order network connectivity statistics
por: Burstein, David, et al.
Publicado: (2014)

The influence of network structure on neuronal network dynamics
por: Nykamp, Duane Q
Publicado: (2012)

Spontaneous Ca(++ )oscillations in astrocytes initiate high-frequency oscillations in model hippocampal network
por: Nagaraj, Vivek, et al.
Publicado: (2013)

Optimal entrainment of heterogeneous noisy neurons
por: Wilson, Dan, et al.
Publicado: (2015)

Network reconstruction in the presence of unmeasured neurons
por: Nykamp, Duane Q
Publicado: (2007)

Hierarchical Synchronization Estimation of Low- and High-Order Functional Connectivity Based on Sub-Network Division for the Diagnosis of Autism Spectrum Disorder
por: Zhao, Feng, et al.
Publicado: (2022)

Predicting deep-brain stimulation frequencies to suppress pathological population oscillations in a network model of Parkinson's disease
por: Holt, Abbey B, et al.
Publicado: (2013)

Integrating Insults: Using Fault Tree Analysis to Guide Schizophrenia Research across Levels of Analysis
por: MacDonald III, Angus W., et al.
Publicado: (2016)

On the Influence of Structural Connectivity on the Correlation Patterns and Network Synchronization
por: Nazemi, Parisa Sadat, et al.
Publicado: (2019)

Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia
por: Moghimi, Pantea, et al.
Publicado: (2018)

Dynamics of a network of excitatory and inhibitory neurons induced by depolarization block
por: Kim, Christopher, et al.
Publicado: (2014)

Designing anti-epileptic drugs using neuronal dynamics
por: Stigen, Tyler, et al.
Publicado: (2013)

The influence of network topology on synchrony and oscillations in networks of spiking neurons
por: Nykamp, Duane Q, et al.
Publicado: (2011)

A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks
por: Liu, Chin-Yueh, et al.
Publicado: (2010)

Synchronization, Stochasticity, and Phase Waves in Neuronal Networks With Spatially-Structured Connectivity
por: Kulkarni, Anirudh, et al.
Publicado: (2020)

The influence of network structure on neuronal dynamics
por: Campbell, Patrick, et al.
Publicado: (2013)

Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia
por: Zhu, Qi, et al.
Publicado: (2019)

Second-Order Conditioning in Humans
por: Lee, Jessica C.
Publicado: (2021)

Capturing Multiple Timescales of Adaptation to Second-Order Statistics With Generalized Linear Models: Gain Scaling and Fractional Differentiation
por: Latimer, Kenneth W., et al.
Publicado: (2020)

Effective Suppression of Pathological Synchronization in Cortical Networks by Highly Heterogeneous Distribution of Inhibitory Connections
por: Kada, Hisashi, et al.
Publicado: (2016)

Synchronization Transition of the Second-Order Kuramoto Model on Lattices
por: Ódor, Géza, et al.
Publicado: (2023)

Distinct Synchronous Network Activity During the Second Postnatal Week of Medial Entorhinal Cortex Development
por: Dawitz, Julia, et al.
Publicado: (2020)

Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks
por: Siman-Tov, Tali, et al.
Publicado: (2017)

Effect of epidural spinal cord stimulation on female sexual function after spinal cord injury
por: Shackleton, Claire, et al.
Publicado: (2023)

Controlling spike timing and synchrony in oscillatory neurons
por: Stigen, Tyler, et al.
Publicado: (2011)

Mechanisms of carbachol oscillations
por: Netoff, Theoden I, et al.
Publicado: (2007)

Closed-loop approach to tuning deep brain stimulation parameters for Parkinson's disease
por: Holt, Abbey B, et al.
Publicado: (2015)

Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance
por: Siebenhühner, Felix, et al.
Publicado: (2016)

Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification
por: Zhou, Yueying, et al.
Publicado: (2018)

Synchronization through nonreciprocal connections in a hybrid hippocampus microcircuit
por: Hilscher, Markus M., et al.
Publicado: (2013)

Perspectives on Understanding Aberrant Brain Networks in Epilepsy
por: Sinha, Nishant, et al.
Publicado: (2022)

Effects of spike-time dependent plasticity on deep brain stimulation of the basal ganglia for treatment of Parkinson's disease
por: Grado, Logan L, et al.
Publicado: (2015)

Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson’s disease
por: Grado, Logan L., et al.
Publicado: (2018)

In silico development and validation of Bayesian methods for optimizing deep brain stimulation to enhance cognitive control
por: Nagrale, Sumedh S, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_59hfkqiel3s9vkqn689d3vvh15