Abstract
We propose a dynamical neural network model with excitatory neurons and inhibitory neurons for memory function in hippocampus and investigate the effect of inhibitory neurons on memory recall. The results by numerical simulations show that the introduction of inhibitory neurons improves the stability of the memory recall in the proposed model by suppressing the bursting of neurons.
| Original language | English |
|---|---|
| Pages (from-to) | 749-755 |
| Number of pages | 7 |
| Journal | Journal of the Physical Society of Japan |
| Volume | 73 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2004 Mar |
Keywords
- Dynamical neural network model
- Dynamical patterns
- Hippocampus
- Inhibitory neurons
- Memory recall
ASJC Scopus subject areas
- Physics and Astronomy(all)
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Omori, T., & Horiguchi, T. (2004). Dynamical neural network model of hippocampus with excitatory and inhibitory neurons. Journal of the Physical Society of Japan, 73(3), 749-755. https://doi.org/10.1143/JPSJ.73.749