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Synchronous clusters in a noisy inhibitory neural network [article]

P.H.E. Tiesinga, Jorge V. José
1999 arXiv   pre-print
We study the stability and information encoding capacity of synchronized states in a neuronal network model that represents part of thalamic circuitry.  ...  We find that there is a threshold in synaptic strength, τ_c, below which there are no stable spiking network states.  ...  The neurons in our network are connected all-to-all by inhibitory GABAergic synapses.  ... 
arXiv:cond-mat/9904085v1 fatcat:imczigxxsngt3ldf66chstifwy

High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks

Fang Han, Zhijie Wang, Hong Fan, Yaopeng Zhang, Rubin Wang
2020 Neural Plasticity  
High-frequency synchronization has been found in many real neural systems and is confirmed by excitatory/inhibitory (E/I) network models. However, the functional role played by it remains elusive.  ...  Our work implies a possible functional role in information transmission of high-frequency synchronization in neuronal systems.  ...  Since neural systems are usually composed of both excitatory and inhibitory neurons, it is helpful to have a closer look at the mechanism of the genesis of highfrequency synchronization in E/I networks  ... 
doi:10.1155/2020/8823111 pmid:33224190 pmcid:PMC7669332 fatcat:ajjx4hh6unbkni3cpfrkdwliry

A Model of Stimulus-Specific Neural Assemblies in the Insect Antennal Lobe

Dominique Martinez, Noelia Montejo, Karl J. Friston
2008 PLoS Computational Biology  
It has been proposed that synchronized neural assemblies in the antennal lobe of insects encode the identity of olfactory stimuli.  ...  through unreliable GABA A and GABA B inhibitory synapses.  ...  The input pattern j (noisy version of the training pattern) activates a specific inhibitory circuit in the GABAergic network depicted in (A).  ... 
doi:10.1371/journal.pcbi.1000139 pmid:18795147 pmcid:PMC2536510 fatcat:aswgpxv7drasbk53ecjtq3dnuu

Rewiring-Induced Chaos in Pulse-Coupled Neural Networks

Takashi Kanamaru, Kazuyuki Aihara
2012 Neural Computation  
The dependence of the dynamics of pulse-coupled neural networks on random rewiring of excitatory and inhibitory connections is examined.  ...  When both excitatory and inhibitory connections are rewired, periodic synchronization emerges with a Hopf-like bifurcation and a subsequent period-doubling bifurcation; moreover, chaotic synchronization  ...  Acknowledgement This research is partially supported by a Grantin-Aid for Encouragement of Young Scientists (B) (No. 20700215), a Grant-in-Aid for Scientific Research on Priority Areas -System study on  ... 
doi:10.1162/neco_a_00252 pmid:22168557 fatcat:yldncuxv2vdondwhqvzgc6mpc4

Population spikes in cortical networks during different functional states

Shirley Mark, Misha Tsodyks
2012 Frontiers in Computational Neuroscience  
The network shifts from asynchronous activity to a regime in which clusters synchronized separately, then, the synchronization between the clusters increases gradually to fully synchronized state.  ...  Previous studies demonstrated that brief synchronized increase in a neural firing [Population Spikes (PS)] can be generated in homogenous recurrent neural networks with short-term synaptic depression (  ...  Network is composed of clusters; each one is divided into two units representing highly connected groups of excitatory and inhibitory neural populations.  ... 
doi:10.3389/fncom.2012.00043 pmid:22811663 pmcid:PMC3396090 fatcat:73jmpvk6hba63m5qlgijbmq7pe

Orientation tuning and synchronization in the hypercolumn model

Sang-Gui Lee, Shigeru Tanaka, Seunghwan Kim
2004 Physical Review E  
To understand the dynamical mechanism of the orientation tuning, we introduce a biologically plausible network for a hypercolumn and investigate dynamical responses of its columnar activities.  ...  This suggests the importance of the balance between the excitatory coupling and the inhibitory coupling in the primary visual cortex for visual information processing.  ...  ACKNOWLEDGMENTS This work was supported by the Ministry of Science & Technology and the Ministry of Education in Korea.  ... 
doi:10.1103/physreve.69.011914 pmid:14995654 fatcat:4fqvdxbzc5ewfhdw6pw7gy5jxa

Nonlocal mechanism for cluster synchronization in neural circuits

I. Kanter, E. Kopelowitz, R. Vardi, M. Zigzag, W. Kinzel, M. Abeles, D. Cohen
2011 Europhysics letters  
For a stimulus to one node, the network splits into GCD-clusters in which cluster neurons are in zero-lag synchronization.  ...  The interplay between the topology of cortical circuits and synchronized activity modes in distinct cortical areas is a key enigma in neuroscience.  ...  For a stimulus to one node, the network splits into GCD-clusters in which cluster neurons are in zero-lag synchronization.  ... 
doi:10.1209/0295-5075/93/66001 fatcat:jsjmwsz2dbbp5nqbnvomy3zjna

Modulation of the Visual to Auditory Human Inhibitory Brain Network: An EEG Dipole Source Localization Study

Rupesh Kumar Chikara, Li-Wei Ko
2019 Brain Sciences  
In this work, we investigate how auditory alarms affect the neural networks of human inhibition.  ...  Behaviorally, the visual stimulus elicited a significantly higher accuracy rate (96.35%) than the auditory stimulus (57.07%) during inhibitory control.  ...  Therefore, our study investigates how auditory alarms affect the neural networks of human inhibitory control in real situations.  ... 
doi:10.3390/brainsci9090216 pmid:31461954 pmcid:PMC6770157 fatcat:a5uti5xnobbdhflnchjfn2lxzq

Probing scale interaction in brain dynamics through synchronization

A. Barardi, D. Malagarriga, B. Sancristobal, J. Garcia-Ojalvo, A. J. Pons
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
The microscopic neuronal population, in turn, is described by a network of several thousand excitatory and inhibitory spiking neurons operating in a synchronous irregular regime, in which the individual  ...  each other through a microscopic neuronal network (NN).  ...  Thus, the topology of the neural network affects the synchronization between the neural ensembles.  ... 
doi:10.1098/rstb.2013.0533 pmid:25180311 pmcid:PMC4150308 fatcat:wk24mlcmzbhxxcfiuvq2k7cjau

Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network

Jason T. Moyer, Benjamin L. Halterman, Leif H. Finkel, John A. Wolf
2014 Frontiers in Computational Neuroscience  
Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network Striatal medium spiny neurons (MSNs) receive lateral inhibitory  ...  Specifically, lateral inhibition enables large ensembles of MSNs firing synchronously to strongly suppress non-ensemble MSNs over a short time-scale (10-30 ms).  ...  FSIs in the network each received a distinct, noisy 600 Hz input train.  ... 
doi:10.3389/fncom.2014.00152 pmid:25505406 pmcid:PMC4243567 fatcat:ccwvd45yfjd25mrjh5s4cixurm

Effect of Small-World Connectivity on Fast Sparsely Synchronized Cortical Rhythms [article]

Sang-Yoon Kim, Woochang Lim
2014 arXiv   pre-print
Hence, in order to extend the works of Brunel et al. to realistic neural networks, we study the effect of network architecture on these fast sparsely synchronized rhythms in an inhibitory population of  ...  Recently, Brunel et al. developed a framework to describe this kind of fast sparse synchronization in both random and globally-coupled networks of suprathreshold spiking neurons.  ...  from one cluster to another one occurs [68], in single noisy neuron models exhibiting stochastic resonance due to a weak periodic external force [69, 70], and in inhibitory networks of coupled subthreshold  ... 
arXiv:1403.1034v4 fatcat:sil2466btrcpfdmzb6hzb2egde

Putting the "dynamic" back into dynamic functional connectivity [article]

Stewart Heitmann, Michael Breakspear
2017 bioRxiv   pre-print
Here, we review candidate scenarios for dynamic (functional) connectivity that arise in dynamical systems with two or more subsystems; generalized synchronization, itinerancy (a form of metastability),  ...  The study of fluctuations in time-resolved functional connectivity is a topic of substantial current interest.  ...  In this scenario, the nodes within clusters show stable, stationary generalised synchronization.  ... 
doi:10.1101/181313 fatcat:2coxkoj5ozcvnjoxbjtxas5m4u

Analysis of Epileptic Seizures with Complex Network

Yan Ni, Yinghua Wang, Tao Yu, Xiaoli Li
2014 Computational and Mathematical Methods in Medicine  
Recent researches indicate that the small world or scale-free attributes and the occurrence of highly clustered connection patterns could represent a general organizational principle in the human brain  ...  Epilepsy is a disease of abnormal neural activities involving large area of brain networks. Until now the nature of functional brain network associated with epilepsy is still unclear.  ...  To explore the epileptiform behaviors in terms of complex network property in underlying neural networks, three types of neuron models have been introduced: noisy and leaky integrate-and-fire neurons,  ... 
doi:10.1155/2014/283146 pmid:25147576 pmcid:PMC4134795 fatcat:6kplqhewlbavpomi5rn3jp4xy4

Image Segmentation Using Frequency Locking of Coupled Oscillators [article]

Yan Fang, Matthew J. Cotter, Donald M. Chiarulli, Steven P. Levitan
2014 arXiv   pre-print
Synchronization of coupled oscillators is observed at multiple levels of neural systems, and has been shown to play an important function in visual perception.  ...  We propose a computing system based on locally coupled oscillator networks for image segmentation.  ...  In the study of synchronization of neural oscillations in cats' visual cortex, Eckhorn introduced a mammal neural model to emulate the mechanism of the visual cortex [1] [2] .  ... 
arXiv:1405.2362v1 fatcat:gwyad5qw6zhozhjgen6r2d5tp4

Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks

Takashi Kanamaru, Kazuyuki Aihara
2010 Neural Computation  
The roles of inhibitory neurons in synchronous firing are examined in a network of excitatory and inhibitory neurons with Watts and Strogatz's rewiring.  ...  By examining the persistence of the synchronous firing that exists in the random network, it was found that there is a probability of rewiring at which a transition between the synchronous state and the  ...  Acknowledgement This study was partially supported by a Grant-in-Aid for Encouragement of Young Scientists (B) (No. 20700215) and a Grant-in-Aid for Scientific Research on Priority Areas (No. 17022012)  ... 
doi:10.1162/neco.2010.04-09-997 pmid:20100075 fatcat:2lcl5rtrhzevza6v4tdgvh5c3e
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