@inproceedings{dd1b954559f44b3bb6e512cbd9c4dab0,
title = "Information Transmission through Temporal Structure in Synchronous spikes",
abstract = "Neuronal gamma-band synchronization is a common phenomenon found in cortical networks, which is considered as a potential mechanism for communication among brain areas. How neural assemblies transit information within the narrow time window of each gamma cycle is still an open question. Previous modeling studies have demonstrated that precise spike timing can robustly carry information with the propagation of strongly synchronized spikes. Here we show that the temporal structure of loosely synchronized spikes within each gamma cycle can also effectively carry information in the noisy cortical networks. The relative spiking phase of the synchronous spikes are significantly more consistent under the same stimulus compared to those in random stimuli. Moreover, there is an optimal conduction delay distribution for the network to maximize the information transmission. Our work suggests that the loosely synchronized spikes in the gamma cycles may provide a fundamental mechanism for neural communication using temporal codes.",
author = "Chaofei Hong and Jiang Wang and Yanqiu Che",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 ; Conference date: 20-03-2019 Through 23-03-2019",
year = "2019",
month = may,
day = "16",
doi = "10.1109/NER.2019.8717154",
language = "English (US)",
series = "International IEEE/EMBS Conference on Neural Engineering, NER",
publisher = "IEEE Computer Society",
pages = "1118--1121",
booktitle = "9th International IEEE EMBS Conference on Neural Engineering, NER 2019",
address = "United States",
}