Name
Abstract | ||
|---|---|---|
Neurological electrophysiology has revealed that both dopamine and stimulation tend to affect the formation of memory. This study aimed to investigate the regulatory effect of dopamine and stimulation on long-term and short-term memories using an integrated striatal dopamine and neuronal network model. The robustness of the model was verified by applying interference stimulation. The results showed that the duration of network firing response was associated with the value of dopamine and the duration of stimulation, and the network firing peak was not affected by the interference stimulation, suggesting that the model was strongly robust. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.neucom.2016.01.077 | Neurocomputing |
Keywords | Field | DocType |
Long-term/short-term memory,Dopamine,Interference stimulation | Neuroscience,Pattern recognition,Modulation,Robustness (computer science),Dopamine,Memory model,Artificial intelligence,Biological neural network,Mathematics,Stimulation,Electrophysiology | Journal |
Volume | Issue | ISSN |
194 | C | 0925-2312 |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Xia Yin | 1 | 1 | 0.37 |
| Rubin Wang | 2 | 141 | 25.54 |