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
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China under Grant No. 61401312 and 61431013), the Natural Science Foundation of Tianjin (No. 15JCYBJC19000 and 17JCQNJC03700), the Tianjin Municipal Special Program of Talents Development for Excellent Youth Scholars, and the Fundamental Research Funds for the Central Universities (No. SWU1709620). We would also acknowledge the support of Tianjin University of Technology and Education (No. KYQD14006).
Publisher Copyright:
© 2018 IEEE.
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.
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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.
T2 - 10th International Conference on Advanced Computational Intelligence, ICACI 2018
Y2 - 29 March 2018 through 31 March 2018
ER -