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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.
Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks
Source PublicationFRONTIERS IN COMPUTATIONAL NEUROSCIENCE
Language英语
KeywordSpike Pattern Structure Synaptic Plasticity Efficacy Variability Stdp Synaptic Homeostasis Spike Shuffling Methods
AbstractSynapses 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).
2016
Volume10Pages:83
Subject AreaMathematical & Computational Biology ; Neurosciences & Neurology
DOIhttp://dx.doi.org/10.3389/fncom.2016.00083
Indexed BySCI
Funding OrganizationHong Kong Baptist University (HKBU) Strategic Development Fund ; Hong Kong Baptist University (HKBU) Strategic Development Fund ; Hong Kong Baptist University (HKBU) Strategic Development Fund ; Hong Kong Baptist University (HKBU) Strategic Development Fund ; NSFC-RGC Joint Research Scheme [HKUST/NSFC/12-13/01] ; NSFC-RGC Joint Research Scheme [HKUST/NSFC/12-13/01] ; NSFC-RGC Joint Research Scheme [HKUST/NSFC/12-13/01] ; NSFC-RGC Joint Research Scheme [HKUST/NSFC/12-13/01] ; NSFC [11275027] ; NSFC [11275027] ; NSFC [11275027] ; NSFC [11275027]
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Document Type期刊论文
Identifierhttp://ir.itp.ac.cn/handle/311006/21567
CollectionSCI期刊论文
Corresponding AuthorBi, 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.
Recommended Citation
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.
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