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We used regularised logistic regression to decode animacy from time-frequency power and phase extracted from electrocorticography (ECoG) grid electrode data recorded on the surface of human ventral anterior temporal lobe (vATL). Power in gamma (30\u201360 Hz) and high gamma (60\u2013200 Hz) produced reliable decoding, indicating that semantic information is, indeed, expressed by local populations in vATL. However, power from a wide range of frequencies (4\u2013200 Hz) produced significantly higher decoding accuracy and also exhibited the same rapidly-changing dynamic code previously observed when decoding voltage. These findings support the theory that semantic information is encoded by a local vATL \u201chub\u201d that interacts with distributed cortical \u201cspokes\u201d.<\/jats:p>","DOI":"10.1162\/imag.a.1201","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T20:01:45Z","timestamp":1773864105000},"update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":4,"title":["All spectral frequencies of neural activity reveal semantic representation in the human anterior ventral temporal cortex"],"prefix":"10.1162","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5786-6900","authenticated-orcid":false,"given":"Saskia L.","family":"Frisby","sequence":"first","affiliation":[{"name":"MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United 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