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Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity

Scientific Reports. 2018, 8 (1), 8027.

https://www.nature.com/articles/s41598-018-26286-8

Local interneurons (LNs) in the Drosophila olfactory system exhibit neuronal diversity and variability, yet it is still unknown how these features impact information encoding capacity and reliability in a complex LN network. We employed two strategies to construct a diverse excitatory-inhibitory neural network beginning with a ring network structure and then introduced distinct types of inhibitory interneurons and circuit variability to the simulated network. The continuity of activity within the node ensemble (oscillation pattern) was used as a readout to describe the temporal dynamics of network activity. We found that inhibitory interneurons enhance the encoding capacity by protecting the network from extremely short activation periods when the network wiring complexity is very high. In addition, distinct types of interneurons have differential effects on encoding capacity and reliability. Circuit variability may enhance the encoding reliability, with or without compromising encoding capacity. Therefore, we have described how circuit variability of interneurons may interact with excitatory-inhibitory diversity to enhance the encoding capacity and distinguishability of neural networks. In this work, we evaluate the effects of different types and degrees of connection diversity on a ring model, which may simulate interneuron networks in the Drosophila olfactory system or other biological systems.

 


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115台北市南港區研究院路二段128號
Tel: 02-27899515
Fax: 02-27858059
icob@gate.sinica.edu.tw
Copyright © ICOB 2013. All rights reserved. 最佳瀏覽網頁方式請用最新版IE11或其他瀏覽器 /瀏覽人數:1311045--
 瀏覽人數:1311045