Computational Performance of Echo State Networks with Dynamic Synapses

Author:

Mori Ryota,Tanaka Gouhei,Nakane Ryosho,Hirose Akira,Aihara Kazuyuki

Publisher

Springer International Publishing

Reference9 articles.

1. Jaeger, H.: The “echo state” approach to analysing and training recurrent neural networks. Technical Report 148, GMD - German National Research Institute for Computer Science (2001)

2. Jaeger, H.: Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the “echo state network” approach. GMD-Forschungszentrum Informationstechnik (2002)

3. Markram, H., Tsodyks, M.: Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature 382, 807–810 (1996)

4. Mongillo, G., Barak, O., Tsodyks, M.: Synaptic theory of working memory. Science 319, 1543 (2008)

5. Tsodyks, M., Markram, H.: The neural code between neocortial pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. USA 94, 719–723 (1997)

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