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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zheng, Yanhong Wang, Qingyun Danca, Marius F. |
| Copyright Year | 2013 |
| Abstract | The effects of noise on patterns and collective phenomena are studied in a small-world neuronal network with the dynamics of each neuron being described by a two-dimensional Rulkov map neuron. It is shown that for intermediate noise levels, noise-induced ordered patterns emerge spatially, which supports the spatiotemporal coherence resonance. However, the inherent long range couplings of small-world networks can effectively disrupt the internal spatial scale of the media at small fraction of long-range couplings. The temporal order, characterized by the autocorrelation of a firing rate function, can be greatly enhanced by the introduction of small-world connectivity. There exists an optimal fraction of randomly rewired links, where the temporal order and synchronization can be optimized. |
| Starting Page | 143 |
| Ending Page | 149 |
| Page Count | 7 |
| File Format | |
| ISSN | 18714080 |
| Journal | Cognitive Neurodynamics |
| Volume Number | 8 |
| Issue Number | 2 |
| e-ISSN | 18714099 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-05-28 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Small-world neural network Pattern Synchronization Coherence resonance Biomedicine general Neurosciences Computer Science Artificial Intelligence (incl. Robotics) Biochemistry Cognitive Psychology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cognitive Neuroscience |
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