2026/01/01 by Saskia L Frisby, Ajay D. Halai, Christopher R. Cox +10 · 1 voice
Neuroscience · Psychology · #Neural dynamics and brain function #Face Recognition and Perception #Action Observation and Synchronization
paper · doi:10.1162/imag.a.1201
Abstract Intracranial electrophysiology offers a unique insight into the nature of information representation in the brain—it can be used to disentangle information encoded in gamma and high gamma frequencies from information encoded in lower frequencies. 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 (30–60 Hz) and high gamma (60–200 Hz) produced reliable decoding, indicating that semantic information is, indeed, expressed by local populations in vATL. However, power from a wide range of frequencies (4–200 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 “hub” that interacts with distributed cortical “spokes”.