{"paper":{"title":"Effect of Network Architecture on Burst and Spike Synchronization in A Scale-Free Network of Bursting Neurons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph"],"primary_cat":"q-bio.NC","authors_text":"Sang-Yoon Kim, Woochang Lim","submitted_at":"2015-10-01T00:44:12Z","abstract_excerpt":"We investigate the effect of network architecture on burst and spike synchronization in a directed scale-free network (SFN) of bursting neurons, evolved via two independent $\\alpha-$ and $\\beta-$processes. The $\\alpha-$process corresponds to a directed version of the Barab\\'{a}si-Albert SFN model with growth and preferential attachment, while for the $\\beta-$process only preferential attachments between pre-existing nodes are made without addition of new nodes. We first consider the \"pure\" $\\alpha-$process of symmetric preferential attachment (with the same in- and out-degrees), and study emer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.00081","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}