TY - GEN
T1 - Modulation of neuronal input-output function by subthreshold electric fields from dendritic sublinear integration
AU - Fan, Yaqin
AU - Wei, Xile
AU - Lu, Meili
AU - Wang, Jiang
AU - Yi, Guosheng
AU - Che, Yanqiu
N1 - Funding Information:
* This work was supported by the National Natural Science Foundation of China Nos. 61771330, 61501330, 61601320, 61871287 and 61471265, and The Tianjin Municipal Special Program of Talents Development for Excellent Youth Scholars (No. TJTZJH-QNBJRC-2-21).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - Electrical field (EF) is a popular tool for both basic research and clinical applications, its actions on neuronal activities have been investigated from physiological mechanism and dynamics. However, few studies explore its modulatory influence on neuronal computation from the point of view of dendritic sublinear integration caused by passive dendrites which play an important role in neuronal computation. Here with a reduced biophysical model this problem is explained by observing the impact of EF on neuronal computation and dendritic sublinear operation. It is found that the positive EF results in more linear dendritic sublinear integration because of hyperpolarization in distal dendrites together resulting in higher neuronal excitability in neuronal computation but negative EF inhibits this ability due to more pronounced dendritic sublinear operation resulting from the hyperpolarization in distal dendrites. Further, we explain the modulation of positive EF on dysfunctional neuron combining with Feature Binding Problem. This work builds the gap between neuronal computation and dendritic sublinear operation, which is helpful to understand the modulation of EFs on brain functions.
AB - Electrical field (EF) is a popular tool for both basic research and clinical applications, its actions on neuronal activities have been investigated from physiological mechanism and dynamics. However, few studies explore its modulatory influence on neuronal computation from the point of view of dendritic sublinear integration caused by passive dendrites which play an important role in neuronal computation. Here with a reduced biophysical model this problem is explained by observing the impact of EF on neuronal computation and dendritic sublinear operation. It is found that the positive EF results in more linear dendritic sublinear integration because of hyperpolarization in distal dendrites together resulting in higher neuronal excitability in neuronal computation but negative EF inhibits this ability due to more pronounced dendritic sublinear operation resulting from the hyperpolarization in distal dendrites. Further, we explain the modulation of positive EF on dysfunctional neuron combining with Feature Binding Problem. This work builds the gap between neuronal computation and dendritic sublinear operation, which is helpful to understand the modulation of EFs on brain functions.
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U2 - 10.1109/NER.2019.8716930
DO - 10.1109/NER.2019.8716930
M3 - Conference contribution
AN - SCOPUS:85066741507
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 397
EP - 400
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Y2 - 20 March 2019 through 23 March 2019
ER -