{"record":{"author":{"account_ref":null,"orcid":null},"builds_on":[],"content_schema":"pubphys.content.topic/1","content_sha256":"e1e92d92341254b584abc123100a59a21529e5298988b46faca30844f3fc049a","created":"2026-10-03T07:17:50Z","files":[],"origin":{"assisted_by":[],"kind":"seed"},"parents":[],"salt":"31f0c33ff0067303426bda5d925a6325e4fa377191ff38795209677163f036b4","schema":"pubphys.record/2","site":"pubphys.com","target":null,"type":"topic"},"content":{"external_id":"bio.neural-criticality","field":"bio","n":"1","review_cite":"Miguel A. Munoz, Colloquium: Criticality and dynamical scaling in living systems, Reviews of Modern Physics, 2018","review_link":"https://arxiv.org/abs/1712.04499","review_verified":"true","summary":"The brain's neurons fire in bursts of all sizes, as seen in physical systems balanced at a phase transition, the boundary between two phases such as order and disorder. Whether the brain is really tuned to such a point, and whether that helps it compute, is debated.","title":"Physics of neural computation and the critical brain","topic_ref":null,"why":"A confirmed critical state would give a physical principle for how large neural networks store and process information."},"attested":{"attestation":{"batch":null,"client_id":null,"id_token_sha256":null,"kind":"platform"},"record_hash":"b8c0dcb1fa176a19eb52e966985f2d4e4b691e14755231f7ecf414ce1a70712a","schema":"pubphys.attested/1"},"envelope":{"attested_hash":"0d81725141394a806c898be81d7d6e01958ab1553d9f529d2371d534f7192b1c","platform_signature":{"key_id":"c6afc19b31429869751f06879c75cd64ea92654423d15b44be775bf1310a60da","sig":"JQFDk-68rUm_CwKI0lhuoCpyIQO3OinNfvirWP-fw6L1mK9s00nTb2vs7413V2vOjOZjluFIWsdBN-ZB6csDCw"},"schema":"pubphys.envelope/1"},"record_hash":"b8c0dcb1fa176a19eb52e966985f2d4e4b691e14755231f7ecf414ce1a70712a","leaf_index":96}