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Comparison and regulation of neuronal synchronization for various STDP rules.

Ruan Y, Zhao G - Neural Plast. (2009)

Bottom Line: We discuss effects of various experimentally supported STDP learning rules on frequency synchronization of two unidirectional coupled neurons systematically.First, we show that synchronization windows for all STDP rules cannot be enhanced compared to constant connection under the same model.Thus, we give some explanations by analyzing the synchronization mechanisms for various STDP rules finally.

View Article: PubMed Central - PubMed

Affiliation: Institute of Complex Bio-dynamics, Jiangxi Blue Sky University, Nanchang, Jiangxi 330098, China.

ABSTRACT
We discuss effects of various experimentally supported STDP learning rules on frequency synchronization of two unidirectional coupled neurons systematically. First, we show that synchronization windows for all STDP rules cannot be enhanced compared to constant connection under the same model. Then, we explore the influence of learning parameters on synchronization window and find optimal parameters that lead to the widest window. Our findings indicate that synchronization strongly depends on the specific shape and the parameters of the STDP update rules. Thus, we give some explanations by analyzing the synchronization mechanisms for various STDP rules finally.

Show MeSH
Different types of STDP curves are presented. (a) (c-STDP ) (b) discontinuous STDP(dc-STDP); (c) discontinuous anti-STDP(dc-aSTDP); (d) inhibitory STDP(in-STDP).
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fig1: Different types of STDP curves are presented. (a) (c-STDP ) (b) discontinuous STDP(dc-STDP); (c) discontinuous anti-STDP(dc-aSTDP); (d) inhibitory STDP(in-STDP).

Mentions: The time-dependent synaptic coupling strength g(t) is determined by the spike-timing of pre- and postsynaptic spikes. We consider four types of activity-dependent couplings that have been found in experiments: (1) an excitatory synapse with continuous STDP (c-STDP). There are two forms of c-STDP from two different experiments. One (Figure 1(a)) is from the recording of the neocortex-layer 5 Xenopus tectum hippocampus [31, 35], and the other is from the neocortex-layer 4 spiny stellates [36]. The latter form will not be considered here, because it introduces persistent decrease to synaptic strength that would result in none synchronization if two neurons have different inherent periods. (2) an excitatory synapse with discontinuous STDP (dc-STDP, Figure 1(b)) [17, 36]; (3) an excitatory synapse with discontinuous anti-STDP [36, 37] (dc-aSTDP, Figure 1(c)); (4) an inhibitory synapse with STDP (in-STDP, Figure 1(d)) [18, 19, 36].


Comparison and regulation of neuronal synchronization for various STDP rules.

Ruan Y, Zhao G - Neural Plast. (2009)

Different types of STDP curves are presented. (a) (c-STDP ) (b) discontinuous STDP(dc-STDP); (c) discontinuous anti-STDP(dc-aSTDP); (d) inhibitory STDP(in-STDP).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2712720&req=5

fig1: Different types of STDP curves are presented. (a) (c-STDP ) (b) discontinuous STDP(dc-STDP); (c) discontinuous anti-STDP(dc-aSTDP); (d) inhibitory STDP(in-STDP).
Mentions: The time-dependent synaptic coupling strength g(t) is determined by the spike-timing of pre- and postsynaptic spikes. We consider four types of activity-dependent couplings that have been found in experiments: (1) an excitatory synapse with continuous STDP (c-STDP). There are two forms of c-STDP from two different experiments. One (Figure 1(a)) is from the recording of the neocortex-layer 5 Xenopus tectum hippocampus [31, 35], and the other is from the neocortex-layer 4 spiny stellates [36]. The latter form will not be considered here, because it introduces persistent decrease to synaptic strength that would result in none synchronization if two neurons have different inherent periods. (2) an excitatory synapse with discontinuous STDP (dc-STDP, Figure 1(b)) [17, 36]; (3) an excitatory synapse with discontinuous anti-STDP [36, 37] (dc-aSTDP, Figure 1(c)); (4) an inhibitory synapse with STDP (in-STDP, Figure 1(d)) [18, 19, 36].

Bottom Line: We discuss effects of various experimentally supported STDP learning rules on frequency synchronization of two unidirectional coupled neurons systematically.First, we show that synchronization windows for all STDP rules cannot be enhanced compared to constant connection under the same model.Thus, we give some explanations by analyzing the synchronization mechanisms for various STDP rules finally.

View Article: PubMed Central - PubMed

Affiliation: Institute of Complex Bio-dynamics, Jiangxi Blue Sky University, Nanchang, Jiangxi 330098, China.

ABSTRACT
We discuss effects of various experimentally supported STDP learning rules on frequency synchronization of two unidirectional coupled neurons systematically. First, we show that synchronization windows for all STDP rules cannot be enhanced compared to constant connection under the same model. Then, we explore the influence of learning parameters on synchronization window and find optimal parameters that lead to the widest window. Our findings indicate that synchronization strongly depends on the specific shape and the parameters of the STDP update rules. Thus, we give some explanations by analyzing the synchronization mechanisms for various STDP rules finally.

Show MeSH