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 language | English (US) |
|---|---|
| Title of host publication | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 |
| Publisher | IEEE Computer Society |
| Pages | 1118-1121 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538679210 |
| DOIs | |
| State | Published - May 16 2019 |
| Event | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States Duration: Mar 20 2019 → Mar 23 2019 |
Publication series
| Name | International IEEE/EMBS Conference on Neural Engineering, NER |
|---|---|
| Volume | 2019-March |
| ISSN (Print) | 1948-3546 |
| ISSN (Electronic) | 1948-3554 |
Conference
| Conference | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 |
|---|---|
| Country | United States |
| City | San Francisco |
| Period | 3/20/19 → 3/23/19 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Mechanical Engineering
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Information Transmission through Temporal Structure in Synchronous spikes
AU - Hong, Chaofei
AU - Wang, Jiang
AU - Che, Yanqiu
PY - 2019/5/16
Y1 - 2019/5/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85066756907&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066756907&partnerID=8YFLogxK
U2 - 10.1109/NER.2019.8717154
DO - 10.1109/NER.2019.8717154
M3 - Conference contribution
AN - SCOPUS:85066756907
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 1118
EP - 1121
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
ER -