2024
DOI: 10.1101/2024.10.27.620494
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Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding

Kwangjun Lee,
Cyriel M.A. Pennartz,
Jorge F. Mejias

Abstract: Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals). Theoretical models of PC often rely on high-level approaches, and therefore implementations detailing which neurons or pathways are used to compute prediction errors or adapt the internal representations, as well as their level of agreement with biological circuitry, are cu… Show more

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