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Synchronous clusters in a noisy inhibitory neural network
[article]
1999
arXiv
pre-print
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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
2020
Neural Plasticity
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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
2008
PLoS Computational Biology
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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
2012
Neural Computation
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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
2012
Frontiers in Computational Neuroscience
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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
2004
Physical Review E
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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
2011
Europhysics letters
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2011 pre-print arXiv:1103.3634v1 fatcat:jx72g3l6zrcs5j5wzst7juncx4
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
2019
Brain Sciences
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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
2014
Philosophical Transactions of the Royal Society of London. Biological Sciences
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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
2014
Frontiers in Computational Neuroscience
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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]
2014
arXiv
pre-print
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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]
2017
bioRxiv
pre-print
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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
2014
Computational and Mathematical Methods in Medicine
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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]
2014
arXiv
pre-print
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2014
2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
unpublished
doi:10.1109/cnna.2014.6888657 fatcat:d7u53otoqrhv7kh3rq2fqvn5x4
doi:10.1109/cnna.2014.6888657 fatcat:d7u53otoqrhv7kh3rq2fqvn5x4
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
2010
Neural Computation
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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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