Effects of multiple delays on dynamics of a five-neuron network model

Nonlinear Dynamics ◽

10.1007/s11071-018-4346-3 ◽

2018 ◽

Vol 94 (1) ◽

pp. 87-98 ◽

Author(s):

JuHong Ge

Keyword(s):

Network Model ◽

Multiple Delays ◽

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Complex dynamics of a four neuron network model having a pair of short-cut connections with multiple delays

Nonlinear Dynamics ◽

10.1007/s11071-012-0742-2 ◽

2013 ◽

Vol 72 (3) ◽

pp. 643-662 ◽

Author(s):

Amitava Kundu ◽

Pritha Das ◽

A. B. Roy

Keyword(s):

Network Model ◽

Complex Dynamics ◽

Multiple Delays ◽

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Zero-Hopf bifurcation and multistability coexistence on a four-neuron network model with multiple delays

Nonlinear Dynamics ◽

10.1007/s11071-016-3195-1 ◽

2016 ◽

Vol 87 (4) ◽

pp. 2357-2366 ◽

Author(s):

Juhong Ge ◽

Jian Xu ◽

ZhiQiang Li

Keyword(s):

Hopf Bifurcation ◽

Network Model ◽

Multiple Delays ◽

Neuron Network ◽

Multistability Coexistence

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Bogdanov–Takens bifurcation in a Hopfield network model with bidirectional connection and multiple delays

IMA Journal of Mathematical Control and Information ◽

10.1093/imamci/dnv035 ◽

2015 ◽

pp. dnv035

Author(s):

Aws Ben Hamed ◽

Bassem Ben Hamed

Keyword(s):

Network Model ◽

Hopfield Network ◽

Multiple Delays

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Time-delay-induced instabilities and Hopf bifurcation analysis in 2-neuron network model with reaction–diffusion term

Neurocomputing ◽

10.1016/j.neucom.2018.06.008 ◽

2018 ◽

Vol 313 ◽

pp. 306-315 ◽

Author(s):

Swati Tyagi ◽

Subit K Jain ◽

Syed Abbas ◽

Shahlar Meherrem ◽

Rajendra K Ray

Keyword(s):

Hopf Bifurcation ◽

Network Model ◽

Bifurcation Analysis ◽

Reaction Diffusion ◽

Neuron Network ◽

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Local and Global Existences of Synchronized Periodic Solutions in a Tri-neuron Network Model with Delay

2008 Fourth International Conference on Natural Computation ◽

10.1109/icnc.2008.786 ◽

2008 ◽

Author(s):

Bin Zhen ◽

Jian Xu

Keyword(s):

Periodic Solutions ◽

Network Model ◽

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Bogdanov–Takens bifurcation in a tri-neuron BAM neural network model with multiple delays

Nonlinear Dynamics ◽

10.1007/s11071-012-0683-9 ◽

2012 ◽

Vol 71 (3) ◽

pp. 583-595 ◽

Author(s):

Tao Dong ◽

Xiaofeng Liao

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Multiple Delays ◽

Bam Neural Network

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The origin of the frequency selectivity in VOR motor learning revealed by a realistic cerebellar spiking neuron network model.

BMC Neuroscience ◽

10.1186/1471-2202-11-s1-p107 ◽

2010 ◽

Vol 11 (S1) ◽

Author(s):

Keiichiro Inagaki ◽

Seiichi Kobayashi ◽

Yutaka Hirata

Keyword(s):

Motor Learning ◽

Network Model ◽

Frequency Selectivity ◽

Spiking Neuron ◽

Neuron Network ◽

Spiking Neuron Network

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Error estimates for discontinuous Galerkin finite element methods for a neuron network model

Applicable Analysis ◽

10.1080/00036811.2014.963062 ◽

2014 ◽

Vol 94 (10) ◽

pp. 2011-2022 ◽

Author(s):

Samir Kumar Bhowmik

Keyword(s):

Finite Element ◽

Error Estimates ◽

Discontinuous Galerkin ◽

Network Model ◽

Finite Element Methods ◽

Neuron Network ◽

Galerkin Finite Element ◽

Discontinuous Galerkin Finite Element ◽

Galerkin Finite Element Methods

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Zero singularity of codimension two or three in a four-neuron BAM neural network model with multiple delays

Nonlinear Dynamics ◽

10.1007/s11071-014-1417-y ◽

2014 ◽

Vol 77 (4) ◽

pp. 1783-1794 ◽

Author(s):

Xia Liu

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Multiple Delays ◽

Codimension Two ◽

Bam Neural Network

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Oscillatory Behavior in An Inertial Six-Neuron Network Model with Delays

Intelligent Computing Theories and Methodologies - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22180-9_10 ◽

2015 ◽

pp. 97-105

Author(s):

Chunhua Feng ◽

Zhenkun Huang

Keyword(s):

Network Model ◽

Oscillatory Behavior ◽

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