Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits

Kwan Tung Li, Junhao Liang, Changsong Zhou*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

13 Citations (Scopus)


Gamma oscillation in neural circuits is believed to associate with effective learning in the brain, while the underlying mechanism is unclear. This paper aims to study how spike-timing-dependent plasticity (STDP), a typical mechanism of learning, with its interaction with gamma oscillation in neural circuits, shapes the network dynamics properties and the network structure formation. We study an excitatory-inhibitory (E-I) integrate-and-fire neuronal network with triplet STDP, heterosynaptic plasticity, and a transmitter-induced plasticity. Our results show that the performance of plasticity is diverse in different synchronization levels. We find that gamma oscillation is beneficial to synaptic potentiation among stimulated neurons by forming a special network structure where the sum of excitatory input synaptic strength is correlated with the sum of inhibitory input synaptic strength. The circuit can maintain E-I balanced input on average, whereas the balance is temporal broken during the learning-induced oscillations. Our study reveals a potential mechanism about the benefits of gamma oscillation on learning in biological neural circuits.

Original languageEnglish
Article number6668175
Number of pages18
JournalNeural Plasticity
Publication statusPublished - 20 Jan 2021

Scopus Subject Areas

  • Clinical Neurology
  • Neurology

User-Defined Keywords

  • Action Potentials/physiology
  • Brain/physiology
  • Gamma Rhythm/physiology
  • Humans
  • Learning/physiology
  • Models, Neurological
  • Nerve Net/physiology
  • Neuronal Plasticity/physiology


Dive into the research topics of 'Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits'. Together they form a unique fingerprint.

Cite this