抑制性STDP突触机制对皮层网络的调节
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摘要
为研究抑制性突触的脉冲时间依赖可塑性(spike-timing-dependent-plasticity,STDP)突触机制对大脑皮层网络的调节作用,构建了脑皮层神经网络的局部回路模型。通过模型观察到,在兴奋性与抑制性突触的共同作用下,不同类型突触连接的平均强度均维持稳定,保证了皮层网络自身的平稳放电;随着抑制性STDP突触规则学习率的增大,网络中神经元集群的平均放电率和同步指数均增大,兴奋性突触的整体强度减弱,抑制性突触的整体强度增强;揭示了皮层网络中兴奋性与抑制性的调节过程,有助于认识抑制性突触可塑性在皮层网络功能机制中的重要作用。
To study the regulation of inhibitory spike-timing-dependent-plasticity(STDP)on the cortical neural network,a model of local cortical neural circuits is constructed in this paper,which consists of excitatory pyramid neurons and inhibitory interneurons for the research of the impact between the inhibitory synaptic plasticity and excitatory synaptic plasticity.It is found that under the joint regulation of excitatory and inhibitory STDP,the average strengths of different synaptic connections keep stable,which contributes to the stable firing state of the local cortical neural circuits.With the increasing of inhibitory STDP learning rate,the firing rates of both excitatory and inhibitory neuron groups are increased and their synchronization is enhanced.Moreover,the average strength of all the excitatory synapses is decreased,while that of the inhibitory synapses is increased.The regulation of the synaptic weights shows the balance between excitation and inhibition in the cortical network.The results will help to recognize the importance of inhibitory synaptic plasticity in the function of cortical neural networks.
To study the regulation of inhibitory spike-timing-dependent-plasticity(STDP)on the cortical neural network,a model of local cortical neural circuits is constructed in this paper,which consists of excitatory pyramid neurons and inhibitory interneurons for the research of the impact between the inhibitory synaptic plasticity and excitatory synaptic plasticity.It is found that under the joint regulation of excitatory and inhibitory STDP,the average strengths of different synaptic connections keep stable,which contributes to the stable firing state of the local cortical neural circuits.With the increasing of inhibitory STDP learning rate,the firing rates of both excitatory and inhibitory neuron groups are increased and their synchronization is enhanced.Moreover,the average strength of all the excitatory synapses is decreased,while that of the inhibitory synapses is increased.The regulation of the synaptic weights shows the balance between excitation and inhibition in the cortical network.The results will help to recognize the importance of inhibitory synaptic plasticity in the function of cortical neural networks.
引文
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[12]van ROSSUM M C W,BI G Q,TURRIGIANO G G.Stable Hebbian learning from spike timing-dependent plasticity[J].Neuroscience,2000,20(23):8812-8821.
[13]GUTIG R,AHARONOV R,ROTTER S,et al.Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity[J].Neuroscience,2003,23(9):3697-3714.
[14]SONG S,ABBOTT L F.Cortical development and remapping through spike timing-dependent plasticity[J].Neuron,2001,32(2):339-350.
[15]MEFFIN H,BESSON J,BURKITT A N,et al.Learning the structure of correlated synaptic subgroups using stable and competitive spike-timing-dependent plasticity[J].Physics Review E,2006,73(4):041911(1-14).
[16]SAKURAI I,KUBOTA S,NIWANO M.The onset and closure of critical period plasticity regulated by feedforward inhibition[J].Neurocomputing,2014,143(16):261-268.
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[21]王美丽,王俊松.基于抑制性突触可塑性的反馈神经回路兴奋性与抑制性动态平衡[J].物理学报,2015,64(10):416-423.WANG Meili,WANG Junsong.Dynamical balance between excitation and inhibition of feedback neural circuit via inhibitory synaptic plasticity[J].Acta Physica Sinica,2015,64(10):416-423.(in Chinese)
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[27]SONG S,MILLER K D,ABBOTT L F.Competitive Hebbian learning through spike-timing-dependent synaptic plasticity[J].Nature Neuroscience,2000,3(9):919-926.