TY - GEN
T1 - Information transformation from a spatiotemporal pattern to synchrony through STDP network
AU - Hosaka, Ryosuke
AU - Ikeguchi, Tohru
AU - Nakamura, Hikoichiro
AU - Araki, Osamu
PY - 2004
Y1 - 2004
N2 - Recent experimental results show the sensitivity of synaptic plasticity to the timing of synaptic events and postsynaptic firings (spike timing dependent plasticity: STDP). Although a number of studies have been made on STDP, little is known about the effect of STDP on the relation between external input patterns to the recurrent neural network and its output spikes. In this study, we examine this relation by computer simulations of a spiking neural network with STDP. We have found that STDP organizes the neural network to transform an external spatiotemporal input pattern into a synchronous firing, and the synchrony is much dependent on the spatiotemporal structure of the external input. This result suggests that the original of the synchrony propagate through feed-forward network may be generated by the recurrent neural network respond to the external input.
AB - Recent experimental results show the sensitivity of synaptic plasticity to the timing of synaptic events and postsynaptic firings (spike timing dependent plasticity: STDP). Although a number of studies have been made on STDP, little is known about the effect of STDP on the relation between external input patterns to the recurrent neural network and its output spikes. In this study, we examine this relation by computer simulations of a spiking neural network with STDP. We have found that STDP organizes the neural network to transform an external spatiotemporal input pattern into a synchronous firing, and the synchrony is much dependent on the spatiotemporal structure of the external input. This result suggests that the original of the synchrony propagate through feed-forward network may be generated by the recurrent neural network respond to the external input.
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U2 - 10.1109/IJCNN.2004.1380170
DO - 10.1109/IJCNN.2004.1380170
M3 - Conference contribution
AN - SCOPUS:10944251941
SN - 0780383591
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 1475
EP - 1480
BT - 2004 IEEE International Joint Conference on Neural Networks - Proceedings
T2 - 2004 IEEE International Joint Conference on Neural Networks - Proceedings
Y2 - 25 July 2004 through 29 July 2004
ER -