ISSN Print 2500–1094
ISSN Online 2542–1204
Bulletin of RSMU
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
ORIGINAL RESEARCH
Stability of spontaneous electrical activity of neural networks in vitro
About authors
1 Department of Neurosciences, Kurchatov Complex of NBICS Technologies,National Research Centre Kurchatov Institute, Moscow, Russia
2 Department of Physiology, Biomedical Faculty,Pirogov Russian National Research Medical University, Moscow, Russia
3 Department of NBIC Technologies, Faculty of Nano-, Bio-, Information and Cognitive Technologies,Moscow Institute of Physics and Technology (State University), Dolgoprudny, Russia
4 Department of Human and Animal Physiology, Faculty of Biology,Lomonosov Moscow State University, Moscow, Russia
5 National Research Nuclear University MEPhI, Moscow
Correspondence should be addressed: Ilya Sokolov
ul. Chertanovskaya, d. 49, k. 2, kv. 121, Moscow, Russia, 117534; moc.liamg@volokosresli
About paper
Funding: this work was supported by the Russian Science Foundation, grant no. 15-11-30014.
Received: 2016-04-01
Accepted: 2016-04-07
Published online: 2017-01-05
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Fig. 1. Clustering of spontaneous burst activity of two neuronal cultures in vitro with the following IDs: 3035 (A) and 3040 (C); percentage of bursts in clusters with the following IDs: 3035 (B) and 3040 (D). Bursts are presented as they appeared. Red dotted lines represent days of culture development
Fig. 2. Switching of activity patterns after stimulation without feedback and with feedback. (A) Before stimulation. (B) After stimulation without feedback. (C) After stimulation with feedback
Fig. 3. Averaged burst feature vectors for clusters containing at least 5 % of all events shown in fig. 2. Green line (1) represents electrode 12, on which the culture was trained. Red line represents electrode 22, on which stimulation was performed
