An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles

机译：尖峰时序相关的突触可塑性在同步神经集合形成中的重要作用

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Synchronous neural activity plays an important role in the functioning of the brain. In this paper, we study the entrainment of a heterogeneous network of electrically coupled neurons by synaptically mediated periodic stimulation. We demonstrate by computer simulations that input synapses with spike timing-dependent plasticity (STDP) greatly enhance the coherence of spiking activity in the network as compared to the case of input with constant strength. We also show that synchronization in the network stimulated through STDP synapses is much more robust to the variability of network properties. The observed mechanism may play a role in synchronizing the activity of a hippocampal network.

机译：同步神经活动在大脑功能中起重要作用。在本文中，我们研究了突触介导的周期性刺激对电耦合神经元异质网络的夹带。我们通过计算机仿真证明，与具有恒定强度的输入情况相比，具有与时序相关的峰值时间可塑性（STDP）的输入突触可大大增强网络中尖峰活动的连贯性。我们还表明，通过STDP突触刺激的网络同步对于网络属性的可变性要强得多。观察到的机制可能在同步海马网络活动中发挥作用。

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来源
《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.373-378|共6页
会议地点 Alicante(ES)
作者
Valentin P. Zhigulin; Mikhail I. Rabinovich;
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作者单位

Department of Physics, MC 103-33, California Institute of Technology, Pasadena, CA 91125, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
synchronization; spike timing-dependent plasticity; hippocampus;

机译：同步；穗时间依赖性可塑性；海马;
入库时间 2022-08-26 14:29:48

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1. An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles [J] . Valentin P. Zhigulin, Mikhail I. Rabinovich Neurocomputing . 2004,第期

机译：尖峰时序相关的突触可塑性在同步神经集合形成中的重要作用
2. Identifying spike-timing dependent plasticity in spike train models of synaptically-coupled neuronal ensembles [J] . Seif El Dawlatly, Karim Oweiss BMC Neuroscience . 2007,第SUPPLEMENTa2期

机译：在突触耦合神经元集成体的峰值序列模型中识别峰值时序依赖的可塑性
3. Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity [J] . Sang-Yoon Kim, Woochang Lim Neural Networks: The Official Journal of the International Neural Network Society . 2018,第期

机译：具有尖峰定时依赖性可塑性的小世界神经网络中的随机尖峰同步
4. An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles [C] . Valentin P. Zhigulin, M. I. Mikhail I. Rabinovich Computational Neuroscience Meeting . 2004

机译：穗定时依赖性突触可塑性在同步神经系列形成中的重要作用
5. Analog Spiking Neural Network Implementing Spike Timing-Dependent Plasticity on 65 nm CMOS [D] . Vincent, Luke. 2021

机译：模拟尖峰神经网络在65nm CMOS上实施尖刺时序依赖性可塑性
6. Identifying spike-timing dependent plasticity in spike train models of synaptically-coupled neuronal ensembles [O] . Seif El Dawlatly, Karim Oweiss 2007

机译：在突触耦合神经元集成体的峰值序列模型中识别峰值时序依赖的可塑性
7. Identifying spike-timing dependent plasticity in spike train models of synaptically-coupled neuronal ensembles [O] . Seif El Dawlatly, Karim Oweiss 2007

机译：在突触耦合神经元集成体的峰值序列模型中识别峰值时序依赖的可塑性

An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles

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