Editorial: Deciphering population neuronal dynamics: from theories to experiments

Hongdian Yang; Woodrow L Shew; Shan Yu; Artur Luczak; Carsen Stringer; Michael Okun

doi:10.3389/fnsys.2023.1193488

Editorial: Deciphering population neuronal dynamics: from theories to experiments

Front Syst Neurosci. 2023 Apr 20:17:1193488. doi: 10.3389/fnsys.2023.1193488. eCollection 2023.

Authors

Hongdian Yang¹, Woodrow L Shew², Shan Yu³, Artur Luczak⁴, Carsen Stringer⁵, Michael Okun⁶

Affiliations

¹ Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA, United States.
² Department of Physics, University of Arkansas, Fayetteville, AR, United States.
³ Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
⁴ Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB, Canada.
⁵ Howard Hughes Medical Institute (HHMI) Janelia Research Campus, Ashburn, VA, United States.
⁶ Department of Psychology and Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom.

No abstract available

Keywords: E/I balance; criticality; gamma oscillation; population dynamics; recurrent neural network (RNN).

Publication types

Editorial

Grants and funding

HY was supported by Klingenstein-Simons Fellowship Awards in Neuroscience and NIH (R01NS107355 and R01NS112200). WLS was supported by NSF (1912352) and NIH (R15NS116742). SY was supported by CAS (XDB32040200) and the Beijing Advanced Discipline Fund. AL was supported by NSERC and CIHR grants. CS was supported by Howard Hughes Medical Institute at the Janelia Research Campus. MO was supported by the Academy of Medical Sciences and Wellcome Trust (Springboard award SBF002\1045) and BBSRC (grant BB/P020607/1).