Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
Hinze Hogendoorn, Anthony N Burkitt
eneuro | Society for Neuroscience | Published : 2019
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 t..View full abstract
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Awarded by Australian Government through the Australian Research Council
H.H. was supported by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP180102268).