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Furthermore, we can observe that spatial evolutions of patterns can exhibit different styles as the noise is changed. In addition, we study noise-induced firing synchronization of neurons. In particular, firing synchronization can be enhanced, and then can reach a saturated value as the noise is large enough. More interestingly, it is found that the stronger the coupling strength is, the larger the noise intensity is needed to make neurons fire. Finally, the critical relation between the noise intensity and the coupling strength is given to investigate the occurrence of firing synchronization in the network. <\/jats:p>","DOI":"10.1142\/s0218127412501155","type":"journal-article","created":{"date-parts":[[2012,3,29]],"date-time":"2012-03-29T01:21:56Z","timestamp":1332984116000},"page":"1250115","source":"Crossref","is-referenced-by-count":9,"title":["NOISE-INDUCED PATTERN FORMATION AND SYNCHRONIZATION IN A SQUARE-LATTICE NEURONAL NETWORK"],"prefix":"10.1142","volume":"22","author":[{"given":"YANHONG","family":"ZHENG","sequence":"first","affiliation":[{"name":"School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"QINGYUN","family":"WANG","sequence":"additional","affiliation":[{"name":"Department of Dynamics and Control, Beihang University, Beijing 100191, P. R. 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