Abstract
Although theories of predictive coding in the brain abound, we lack key pieces of neuronal data to support these theories. Recently, Schwiedrzik and Freiwald found neurophysiological evidence for predictive codes throughout the face-processing hierarchy in macaque cortex. We highlight how these data enhance our knowledge of cortical information processing, and the impact of this more broadly.
Highlights
Predictive coding theories state that neu- authors later manipulated the order of whether or how prediction sustains procrons generate predictions higher up in the images, inducing an error response in essing for a sensory input that is not cortical hierarchy, and test these predic- neurons in the ‘ML’ patch immediately available but will arrive in tions against incoming sensory informa- because the new face pairs violated the the future
Nal testing mechanism flows down the dictable conditions, the authors showed cortical hierarchy, could support a range that prediction errors in ML reflect identity Another challenge is to understand the of brain functions including social cogni- specificity and view invariance
A separate, near-identical experi- projections might inherit viewpoint invarimacaque face network exchange codes ment revealed that humans detected ance through a quick succession of preuntil predictions match the input
Summary
Schwiedrzik and Freiwald found neurophysiological evidence for predictive codes throughout the face-processing hierarchy in macaque cortex. If the brain can use this stored information to generate a prediction that matches the current environment, the neuronal microcircuit has Trends in Cognitive Sciences, February 2018, Vol 22, No 2 95 represented something useful about the monkeys, training them to expect a which higher-order representations are world.
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