Richard D. Lange

This study analyzes 59 macaque studies to assess factors influencing choice probability, finding consistent patterns across tasks and regions with exceptions in bistable percepts and area V1.

The paper distinguishes between Bayesian Encoding and Decoding frameworks, showing they can coexist and explain neural activity differently.

The paper links task-induced neural covariability to approximate Bayesian inference, showing it reflects internal models and learning processes.

The paper reinterprets neural correlations as influenced by internal variables and shows how these can be modeled using tuning functions to better understand sensory responses.