Litcius/Paper detail

Recurrent processes support a cascade of hierarchical decisions

Laura Gwilliams, Jean-Rémi King

2020eLife50 citationsDOIOpen Access PDF

Abstract

Perception depends on a complex interplay between feedforward and recurrent processing. Yet, while the former has been extensively characterized, the computational organization of the latter remains largely unknown. Here, we use magneto-encephalography to localize, track and decode the feedforward and recurrent processes of reading, as elicited by letters and digits whose level of ambiguity was parametrically manipulated. We first confirm that a feedforward response propagates through the ventral and dorsal pathways within the first 200 ms. The subsequent activity is distributed across temporal, parietal and prefrontal cortices, which sequentially generate five levels of representations culminating in action-specific motor signals. Our decoding analyses reveal that both the content and the timing of these brain responses are best explained by a hierarchy of recurrent neural assemblies, which both maintain and broadcast increasingly rich representations. Together, these results show how recurrent processes generate, over extended time periods, a cascade of decisions that ultimately accounts for subjects' perceptual reports and reaction times.

Topics & Concepts

Feed forwardNeuroscienceComputer sciencePerceptionRecurrent neural networkHierarchyCascadePsychologyAction (physics)AmbiguityDorsumCommunicationCognitive psychologyArtificial intelligenceSpeech recognitionBiologyArtificial neural networkChemistryPhysicsChromatographyAnatomyControl engineeringProgramming languageQuantum mechanicsEngineeringEconomicsMarket economyNeural dynamics and brain functionVisual perception and processing mechanismsEEG and Brain-Computer Interfaces