Abstract
The effects of neuronal heterogeneity on the interaction of high-frequency electrical field and the firing activities of a random network under the stimuli of subthreshold low-frequency electrical field are studied in detail. It is found that both the types of neurons and the distribution of synaptic strength can modulate the firing activities of the network under the low-frequency electric field. Moreover, the time delays between neurons can also influence the performance of vibrational resonance (VR) phenomenon induced by the two types of electrical fields. As the network here is constructed with similar characteristics (e.g., the ratio of inhibitory neurons and excitatory neurons, the connection probability of neurons, and the axonal conduction delays) as that in the mammalian neocortex, the results should have some suggestions for the application of electrical field stimuli (such as the transcranial electric stimulation) that frequently used nowadays.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 558-562 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538643624 |
| DOIs | |
| State | Published - Jun 8 2018 |
| Event | 10th International Conference on Advanced Computational Intelligence, ICACI 2018 - Xiamen, Fujian, China Duration: Mar 29 2018 → Mar 31 2018 |
Publication series
| Name | Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018 |
|---|
Other
| Other | 10th International Conference on Advanced Computational Intelligence, ICACI 2018 |
|---|---|
| Country | China |
| City | Xiamen, Fujian |
| Period | 3/29/18 → 3/31/18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Modeling and Simulation
- Control and Optimization
Cite this
}
Vibrational resonance influenced by the neuronal heterogeneity in a random network with time delays. / Zhao, Jia; Qin, Yingmei; Qin, Zhuanping; Han, Chunxiao; Che, Yanqiu.
Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 558-562 (Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Vibrational resonance influenced by the neuronal heterogeneity in a random network with time delays
AU - Zhao, Jia
AU - Qin, Yingmei
AU - Qin, Zhuanping
AU - Han, Chunxiao
AU - Che, Yanqiu
PY - 2018/6/8
Y1 - 2018/6/8
N2 - The effects of neuronal heterogeneity on the interaction of high-frequency electrical field and the firing activities of a random network under the stimuli of subthreshold low-frequency electrical field are studied in detail. It is found that both the types of neurons and the distribution of synaptic strength can modulate the firing activities of the network under the low-frequency electric field. Moreover, the time delays between neurons can also influence the performance of vibrational resonance (VR) phenomenon induced by the two types of electrical fields. As the network here is constructed with similar characteristics (e.g., the ratio of inhibitory neurons and excitatory neurons, the connection probability of neurons, and the axonal conduction delays) as that in the mammalian neocortex, the results should have some suggestions for the application of electrical field stimuli (such as the transcranial electric stimulation) that frequently used nowadays.
AB - The effects of neuronal heterogeneity on the interaction of high-frequency electrical field and the firing activities of a random network under the stimuli of subthreshold low-frequency electrical field are studied in detail. It is found that both the types of neurons and the distribution of synaptic strength can modulate the firing activities of the network under the low-frequency electric field. Moreover, the time delays between neurons can also influence the performance of vibrational resonance (VR) phenomenon induced by the two types of electrical fields. As the network here is constructed with similar characteristics (e.g., the ratio of inhibitory neurons and excitatory neurons, the connection probability of neurons, and the axonal conduction delays) as that in the mammalian neocortex, the results should have some suggestions for the application of electrical field stimuli (such as the transcranial electric stimulation) that frequently used nowadays.
UR - http://www.scopus.com/inward/record.url?scp=85049777241&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049777241&partnerID=8YFLogxK
U2 - 10.1109/ICACI.2018.8377520
DO - 10.1109/ICACI.2018.8377520
M3 - Conference contribution
AN - SCOPUS:85049777241
T3 - Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
SP - 558
EP - 562
BT - Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -