Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks

doi:http://dx.doi.org/10.3389/fncom.2016.00083

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	Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks
	Bi, ZD; Zhou, CS; Bi, ZD (reprint author), Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, Beijing, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Dept Phys, Kowloon Tong, Hong Kong, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Beijing Hong Kong Singapore Joint Ctr Nonlinear &, Ctr Nonlinear Studies, Inst Computat & Theoret Studies, Kowloon Tong, Hong Kong, Peoples R China.; Zhou, CS (reprint author), Beijing Computat Sci Res Ctr, Beijing, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Res Ctr, Inst Res & Continuing Educ, Shenzhen, Peoples R China.
刊名	FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
	2016
卷号	10 页码:83
关键词	Spike Pattern Structure Synaptic Plasticity Efficacy Variability Stdp Synaptic Homeostasis Spike Shuffling Methods
DOI	http://dx.doi.org/10.3389/fncom.2016.00083
英文摘要	Synapses may undergo variable changes during plasticity because of the variability of spike patterns such as temporal stochasticity and spatial randomness. Here, we call the variability of synaptic weight changes during plasticity to be efficacy variability. In this paper, we investigate how four aspects of spike pattern statistics (i.e., synchronous firing, burstiness/regularity, heterogeneity of rates and heterogeneity of cross-correlations) influence the efficacy variability under pair-wise additive spike-timing dependent plasticity (STDP) and synaptic homeostasis (the mean strength of plastic synapses into a neuron is bounded), by implementing spike shuffling methods onto spike patterns self-organized by a network of excitatory and inhibitory leaky integrate-and-fire (LIF) neurons. With the increase of the decay time scale of the inhibitory synaptic currents, the LIF network undergoes a transition from asynchronous state to weak synchronous state and then to synchronous bursting state. We first shuffle these spike patterns using a variety of methods, each designed to evidently change a specific pattern statistics; and then investigate the change of efficacy variability of the synapses under STDP and synaptic homeostasis, when the neurons in the network fire according to the spike patterns before and after being treated by a shuffling method. In this way, we can understand how the change of pattern statistics may cause the change of efficacy variability. Our results are consistent with those of our previous study which implements spike-generating models on converging motifs. We also find that burstiness/regularity is important to determine the efficacy variability under asynchronous states, while heterogeneity of cross-correlations is the main factor to cause efficacy variability when the network moves into synchronous bursting states (the states observed in epilepsy).
学科主题	Mathematical & Computational Biology ; Neurosciences & Neurology
语种	英语
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/21567]
专题	理论物理研究所_理论物理所1978-2010年知识产出
通讯作者	Bi, ZD; Bi, ZD (reprint author), Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, Beijing, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Dept Phys, Kowloon Tong, Hong Kong, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Beijing Hong Kong Singapore Joint Ctr Nonlinear &, Ctr Nonlinear Studies, Inst Computat & Theoret Studies, Kowloon Tong, Hong Kong, Peoples R China.; Zhou, CS (reprint author), Beijing Computat Sci Res Ctr, Beijing, Peoples R China.; Zhou, CS (reprint author), Hong Kong Baptist Univ, Res Ctr, Inst Res & Continuing Educ, Shenzhen, Peoples R China.
推荐引用方式 GB/T 7714	Bi, ZD,Zhou, CS,Bi, ZD ,et al. Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks[J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,2016,10:83.
APA	Bi, ZD.,Zhou, CS.,Bi, ZD .,Zhou, CS .,Zhou, CS .,...&Zhou, CS .(2016).Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks.FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,10,83.
MLA	Bi, ZD,et al."Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks".FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 10(2016):83.