{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:30Z","timestamp":1760245050995,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,2,23]],"date-time":"2019-02-23T00:00:00Z","timestamp":1550880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJCR17A4"],"award-info":[{"award-number":["JPMJCR17A4"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009105","name":"Ministry of Internal Affairs and Communications","doi-asserted-by":"publisher","award":["None"],"award-info":[{"award-number":["None"]}],"id":[{"id":"10.13039\/501100009105","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>In this study, simulations are conducted using a network model to examine how the macroscopic network in the brain is related to the complexity of activity for each region. The network model is composed of multiple neuron groups, each of which consists of spiking neurons with different topological properties of a macroscopic network based on the Watts and Strogatz model. The complexity of spontaneous activity is analyzed using multiscale entropy, and the structural properties of the network are analyzed using complex network theory. Experimental results show that a macroscopic structure with high clustering and high degree centrality increases the firing rates of neurons in a neuron group and enhances intraconnections from the excitatory neurons to inhibitory neurons in a neuron group. As a result, the intensity of the specific frequency components of neural activity increases. This decreases the complexity of neural activity. Finally, we discuss the research relevance of the complexity of the brain activity.<\/jats:p>","DOI":"10.3390\/e21020214","type":"journal-article","created":{"date-parts":[[2019,2,25]],"date-time":"2019-02-25T03:06:52Z","timestamp":1551064012000},"page":"214","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Macroscopic Cluster Organizations Change the Complexity of Neural Activity"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3582-204X","authenticated-orcid":false,"given":"Jihoon","family":"Park","sequence":"first","affiliation":[{"name":"Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan"}]},{"given":"Koki","family":"Ichinose","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan"}]},{"given":"Yuji","family":"Kawai","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0879-3546","authenticated-orcid":false,"given":"Junichi","family":"Suzuki","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan"}]},{"given":"Minoru","family":"Asada","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan"}]},{"given":"Hiroki","family":"Mori","sequence":"additional","affiliation":[{"name":"Future Robotics Organization, Waseda University, Shinjuku, Tokyo 169-8555, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1038\/nn1913","article-title":"Cortical reorganization consistent with spike timing-but not correlation-dependent plasticity","volume":"10","author":"Young","year":"2007","journal-title":"Nat. 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