TY - JOUR
T1 - Ex vivo cultured neuronal networks emit in vivo-like spontaneous activity
AU - Okamoto, Kazuki
AU - Ishikawa, Tomoe
AU - Abe, Reimi
AU - Ishikawa, Daisuke
AU - Kobayashi, Chiaki
AU - Mizunuma, Mika
AU - Norimoto, Hiroaki
AU - Matsuki, Norio
AU - Ikegaya, Yuji
N1 - Funding Information:
Acknowledgments We are grateful to Dr. Hiroshi Ban (CiNET) for his technical support for soft confidence weighted. This work was supported by Kakenhi (22115003; 26250003; 25119004).
PY - 2014/9/11
Y1 - 2014/9/11
N2 - Spontaneous neuronal activity is present in virtually all brain regions, but neither its function nor spatiotemporal patterns are fully understood. Ex vivo organotypic slice cultures may offer an opportunity to investigate some aspects of spontaneous activity, because they self-restore their networks that collapsed during slicing procedures. In hippocampal networks, we compared the levels and patterns of in vivo spontaneous activity to those in acute and cultured slices. We found that the firing rates and excitatory synaptic activity in the in vivo hippocampus are more similar to those in slice cultures compared to acute slices. The soft confidence-weighted algorithm, a machine learning technique without human bias, also revealed that hippocampal slice cultures resemble the in vivo hippocampus in terms of the overall tendency of the parameters of spontaneous activity.
AB - Spontaneous neuronal activity is present in virtually all brain regions, but neither its function nor spatiotemporal patterns are fully understood. Ex vivo organotypic slice cultures may offer an opportunity to investigate some aspects of spontaneous activity, because they self-restore their networks that collapsed during slicing procedures. In hippocampal networks, we compared the levels and patterns of in vivo spontaneous activity to those in acute and cultured slices. We found that the firing rates and excitatory synaptic activity in the in vivo hippocampus are more similar to those in slice cultures compared to acute slices. The soft confidence-weighted algorithm, a machine learning technique without human bias, also revealed that hippocampal slice cultures resemble the in vivo hippocampus in terms of the overall tendency of the parameters of spontaneous activity.
KW - Machine learning algorism
KW - Slice culture
KW - Soft confidence-weighted learning
KW - Spontaneous activity
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U2 - 10.1007/s12576-014-0337-4
DO - 10.1007/s12576-014-0337-4
M3 - Article
C2 - 25208897
AN - SCOPUS:84921917915
VL - 64
SP - 421
EP - 431
JO - Journal of Physiological Sciences
JF - Journal of Physiological Sciences
SN - 1880-6546
IS - 6
ER -