Structural Analysis on STDP Neural Networks Using Complex Network Theory. Kato, H., Ikeguchi, T., & Aihara, K. In Alippi, C., Polycarpou, M., Panayiotou, C., & Ellinas, G., editors, Artificial Neural Networks – ICANN 2009, of Lecture Notes in Computer Science, pages 306--314. Springer Berlin Heidelberg, 2009.
Paper abstract bibtex Synaptic plasticity is one of essential and central functions for the memory, the learning, and the development of the brains. Triggered by recent physiological experiments, the basic mechanisms of the spike-timing-dependent plasticity (STDP) have been widely analyzed in model studies. In this paper, we analyze complex structures in neural networks evolved by the STDP. In particular, we introduce the complex network theory to analyze spatiotemporal network structures constructed through the STDP. As a result, we show that nonrandom structures emerge in the neural network through the STDP.
@incollection{kato_structural_2009,
series = {Lecture {Notes} in {Computer} {Science}},
title = {Structural {Analysis} on {STDP} {Neural} {Networks} {Using} {Complex} {Network} {Theory}},
copyright = {©2009 Springer Berlin Heidelberg},
isbn = {978-3-642-04273-7, 978-3-642-04274-4},
url = {http://link.springer.com/chapter/10.1007/978-3-642-04274-4_32},
abstract = {Synaptic plasticity is one of essential and central functions for the memory, the learning, and the development of the brains. Triggered by recent physiological experiments, the basic mechanisms of the spike-timing-dependent plasticity (STDP) have been widely analyzed in model studies. In this paper, we analyze complex structures in neural networks evolved by the STDP. In particular, we introduce the complex network theory to analyze spatiotemporal network structures constructed through the STDP. As a result, we show that nonrandom structures emerge in the neural network through the STDP.},
language = {en},
number = {5768},
urldate = {2015-03-18TZ},
booktitle = {Artificial {Neural} {Networks} – {ICANN} 2009},
publisher = {Springer Berlin Heidelberg},
author = {Kato, Hideyuki and Ikeguchi, Tohru and Aihara, Kazuyuki},
editor = {Alippi, Cesare and Polycarpou, Marios and Panayiotou, Christos and Ellinas, Georgios},
year = {2009},
keywords = {Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Data Mining and Knowledge Discovery, Neurosciences, Pattern Recognition, Simulation and Modeling},
pages = {306--314}
}
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