Information Transmission through Temporal Structure in Synchronous spikes

Chaofei Hong, Jiang Wang, Yanqiu Che

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PublisherIEEE Computer Society
Pages1118-1121
Number of pages4
ISBN (Electronic)9781538679210
DOIs
StatePublished - May 16 2019
Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
Duration: Mar 20 2019Mar 23 2019

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2019-March
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference9th International IEEE EMBS Conference on Neural Engineering, NER 2019
CountryUnited States
CitySan Francisco
Period3/20/193/23/19

Fingerprint

Communication
Brain
Synchronization

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Hong, C., Wang, J., & Che, Y. (2019). Information Transmission through Temporal Structure in Synchronous spikes. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 1118-1121). [8717154] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717154
Hong, Chaofei ; Wang, Jiang ; Che, Yanqiu. / Information Transmission through Temporal Structure in Synchronous spikes. 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. pp. 1118-1121 (International IEEE/EMBS Conference on Neural Engineering, NER).
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Hong, C, Wang, J & Che, Y 2019, Information Transmission through Temporal Structure in Synchronous spikes. in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019., 8717154, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2019-March, IEEE Computer Society, pp. 1118-1121, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, United States, 3/20/19. https://doi.org/10.1109/NER.2019.8717154

Information Transmission through Temporal Structure in Synchronous spikes. / Hong, Chaofei; Wang, Jiang; Che, Yanqiu.

9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. p. 1118-1121 8717154 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Hong C, Wang J, Che Y. Information Transmission through Temporal Structure in Synchronous spikes. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society. 2019. p. 1118-1121. 8717154. (International IEEE/EMBS Conference on Neural Engineering, NER). https://doi.org/10.1109/NER.2019.8717154