STDP enhances frequency synchrony in neural networks with a pacemaker

Naoki Masuda; Hiroshi Kori

doi:10.1109/IJCNN.2007.4370937

STDP enhances frequency synchrony in neural networks with a pacemaker

Naoki Masuda^*, Hiroshi Kori

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Spike-timing-dependent plasticity (STDP) is a general rule of synaptic plasticity based on precise spike timings. The common form of STDP strengthens synaptic weights most when a presynaptic spike time precedes a postsynaptic spike time by a small amount of time. Even though various neural computations can be implemented by STDP, the relation between STDP and synchronous firing remains elusive. With synchrony kept in mind, here we analyze neural networks driven by a pacemaker in the oscillatory scheme. We show that STDP promotes formation of a feedforward network whose root is the pacemaker. Neurons fire slightly after the pacemaker does, and therefore frequency synchrony is achieved. Remarkably, the synaptic weights necessary for frequency synchrony are much smaller with STDP than without STDP.

Original language	English
Title of host publication	The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Pages	96-101
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2007.4370937
Publication status	Published - 2007
Externally published	Yes
Event	2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States Duration: 2007 Aug 12 → 2007 Aug 17

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)	1098-7576

Conference

Conference	2007 International Joint Conference on Neural Networks, IJCNN 2007
Country/Territory	United States
City	Orlando, FL
Period	07/8/12 → 07/8/17

ASJC Scopus subject areas

Software

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10.1109/IJCNN.2007.4370937

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STDP enhances frequency synchrony in neural networks with a pacemaker. / Masuda, Naoki; Kori, Hiroshi.
The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. 2007. p. 96-101 4370937 (IEEE International Conference on Neural Networks - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Masuda, N & Kori, H 2007, STDP enhances frequency synchrony in neural networks with a pacemaker. in The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings., 4370937, IEEE International Conference on Neural Networks - Conference Proceedings, pp. 96-101, 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, United States, 07/8/12. https://doi.org/10.1109/IJCNN.2007.4370937

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abstract = "Spike-timing-dependent plasticity (STDP) is a general rule of synaptic plasticity based on precise spike timings. The common form of STDP strengthens synaptic weights most when a presynaptic spike time precedes a postsynaptic spike time by a small amount of time. Even though various neural computations can be implemented by STDP, the relation between STDP and synchronous firing remains elusive. With synchrony kept in mind, here we analyze neural networks driven by a pacemaker in the oscillatory scheme. We show that STDP promotes formation of a feedforward network whose root is the pacemaker. Neurons fire slightly after the pacemaker does, and therefore frequency synchrony is achieved. Remarkably, the synaptic weights necessary for frequency synchrony are much smaller with STDP than without STDP.",

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AU - Kori, Hiroshi

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STDP enhances frequency synchrony in neural networks with a pacemaker

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