TY - GEN
T1 - Power-law scaling of synchronization robustly reproduced in the hippocampal CA3 slice culture model with small-world topology
AU - Samura, Toshikazu
AU - Sato, Yasuomi D.
AU - Ikegaya, Yuji
AU - Hayashi, Hatsuo
AU - Aihara, Takeshi
PY - 2012/11/19
Y1 - 2012/11/19
N2 - The hippocampal CA3 is a recurrent network included small-world topology. The percentage of co-active neurons in CA3 slice cultures is approximated by power-law. We show that the power-law scaling of synchronization is reproduced in the CA3 slice culture model where synaptic weights are log-normally distributed and balanced excitation/inhibition regardless of network topologies. However, small-world topology improves the robustness of the reproduction of the power-law scaling in the culture model. Power-law scaling is known as a sign of optimization of a network for information processing. These results suggest that CA3 may be robustly optimized for information processing by excitation/inhibition balance, log-normally distributed synaptic weights and small-world topology.
AB - The hippocampal CA3 is a recurrent network included small-world topology. The percentage of co-active neurons in CA3 slice cultures is approximated by power-law. We show that the power-law scaling of synchronization is reproduced in the CA3 slice culture model where synaptic weights are log-normally distributed and balanced excitation/inhibition regardless of network topologies. However, small-world topology improves the robustness of the reproduction of the power-law scaling in the culture model. Power-law scaling is known as a sign of optimization of a network for information processing. These results suggest that CA3 may be robustly optimized for information processing by excitation/inhibition balance, log-normally distributed synaptic weights and small-world topology.
KW - Excitation/inhibition balance
KW - Hippocampal CA3
KW - Log-normal distribution
KW - Power-law scaling
KW - Small-world topology
KW - Synchronization
UR - http://www.scopus.com/inward/record.url?scp=84869037608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869037608&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34481-7_19
DO - 10.1007/978-3-642-34481-7_19
M3 - Conference contribution
AN - SCOPUS:84869037608
SN - 9783642344800
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 152
EP - 159
BT - Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
T2 - 19th International Conference on Neural Information Processing, ICONIP 2012
Y2 - 12 November 2012 through 15 November 2012
ER -