Synaptic plasticity is believed to play an important role in hippocampal learning and memory. The precise and relative timing of pre- and postsynaptic activity has been shown to determine the sign and amplitude of hippocampal synaptic plasticity through spike timing-dependent plasticity (STDP). While most studies on STDP have mainly focused on excitatory synapses, neural networks are composed not only of excitatory synapses, but also of inhibitory synapses. Interneurons are known to make inhibitory synaptic connections with hippocampal CA1 pyramidal neurons through feedforward and feedback inhibitory networks. However, the roles of different inhibitory network structures on STDP remain unknown. Using a simplified hippocampal network model with a deterministic Ca 2+ dynamics-dependent STDP model, we show that feedforward and feedback inhibitory networks differentially modulate STDP. Moreover, inhibitory synaptic weight and synaptic location influenced the STDP profile. Taken together, our results provide a computational role of inhibitory network in STDP and in memory processing of hippocampal circuits.
|Number of pages
|Biochemical and biophysical research communications
|Published - 2012 Oct 26
Bibliographical noteFunding Information:
This work was supported by the Basic Science Research Program (2012-0003500) and by the World Class University (WCU) program (R31-10008) through the National Research Foundation of Korea, funded by the Ministry of Education, Science, and Technology .
- Feedback inhibition
- Feedforward inhibition
- NEURON simulation model
- Spike timing-dependent plasticity
ASJC Scopus subject areas
- Molecular Biology
- Cell Biology