Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis

Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely negl...

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Vydáno v:eNeuro Ročník 6; číslo 2; s. ENEURO.0412-18.2019
Hlavní autoři: Hogendoorn, Hinze, Burkitt, Anthony N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Society for Neuroscience 01.03.2019
Témata:
Brain - physiology
Humans
Illusions - physiology
Models, Neurological
Motion Perception - physiology
Synaptic Transmission - physiology
Theory/New Concepts
prediction
extrapolation
alignment
predictive coding
neural delays
temporal
ISSN:2373-2822, 2373-2822
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Shrnutí:Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely neglected to take into account that neural transmission itself takes time. For a time-varying stimulus, such as a moving object, this means that backward predictions become misaligned with new sensory input. We present an extended model implementing both forward and backward extrapolation mechanisms that realigns backward predictions to minimize prediction error. This realignment has the consequence that neural representations across all hierarchical levels become aligned in real time. Using visual motion as an example, we show that the model is neurally plausible, that it is consistent with evidence of extrapolation mechanisms throughout the visual hierarchy, that it predicts several known motion–position illusions in human observers, and that it provides a solution to the temporal binding problem.
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H.H. and A.N.B. designed research; H.H. and A.N.B. performed research; H.H. and A.N.B. wrote the paper.
H.H. was supported by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP180102268).
The authors declare no competing financial interests.
ISSN:2373-2822
2373-2822
DOI:10.1523/ENEURO.0412-18.2019