Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
Spontaneous bursts in neuronal networks with propagation involving a large number of synchronously firing neurons are considered to be a crucial feature of these networks both in vivo and in vitro. Recently, learning has been shown to improve the association and synchronization of spontaneous events...
Main Authors: | Xiaoli Jia, Wenwei Shao, Nan Hu, Jianxin Shi, Xiu Fan, Chong Chen, Youwei Wang, Liqun Chen, Huanhuan Qiao, Xiaohong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.854199/full |
Similar Items
-
Macroscopic bursting in physiological networks: node or network property?
by: Fabiano A S Ferrari, et al.
Published: (2015-01-01) -
Near–Real Time Burst Location and Sizing in Water Distribution Systems Using Artificial Neural Networks
by: Miguel Capelo, et al.
Published: (2021-07-01) -
A Comparative Analysis of Semi-Supervised Learning in Detecting Burst Header Packet Flooding Attack in Optical Burst Switching Network
by: Md. Kamrul Hossain, et al.
Published: (2021-08-01) -
Signatures of the Self-organized Criticality Phenomenon in Precursors of Gamma-Ray Bursts
by: Xiu-Juan Li, et al.
Published: (2023-01-01) -
Evidence for the Self-organized Criticality Phenomenon in the Prompt Phase of Short Gamma-Ray Bursts
by: Xiu-Juan Li, et al.
Published: (2023-01-01)