Layer and rhythm specificity for predictive routing

In predictive coding, experience generates predictions that attenuate the feeding forward of predicted stimuli while passing forward unpredicted “errors.” Different models have suggested distinct cortical layers, and rhythms implement predictive coding. We recorded spikes and local field potentials...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 117; no. 49; pp. 31459 - 31469
Main Authors Bastos, André M., Lundqvist, Mikael, Waite, Ayan S., Kopell, Nancy, Miller, Earl K.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 08.12.2020
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ISSN0027-8424
1091-6490
1091-6490
DOI10.1073/pnas.2014868117

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Summary:In predictive coding, experience generates predictions that attenuate the feeding forward of predicted stimuli while passing forward unpredicted “errors.” Different models have suggested distinct cortical layers, and rhythms implement predictive coding. We recorded spikes and local field potentials from laminar electrodes in five cortical areas (visual area 4 [V4], lateral intraparietal [LIP], posterior parietal area 7A, frontal eye field [FEF], and prefrontal cortex [PFC]) while monkeys performed a task that modulated visual stimulus predictability. During predictable blocks, there was enhanced alpha (8 to 14 Hz) or beta (15 to 30 Hz) power in all areas during stimulus processing and prestimulus beta (15 to 30 Hz) functional connectivity in deep layers of PFC to the other areas. Unpredictable stimuli were associated with increases in spiking and in gamma-band (40 to 90 Hz) power/connectivity that fed forward up the cortical hierarchy via superficial-layer cortex. Power and spiking modulation by predictability was stimulus specific. Alpha/beta power in LIP, FEF, and PFC inhibited spiking in deep layers of V4. Area 7A uniquely showed increases in high-beta (∼22 to 28 Hz) power/connectivity to unpredictable stimuli. These results motivate a conceptual model, predictive routing. It suggests that predictive coding may be implemented via lower-frequency alpha/beta rhythms that “prepare” pathways processing-predicted inputs by inhibiting feedforward gamma rhythms and associated spiking.
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3N.K. and E.K.M. contributed equally to this work.
Reviewers: O.J., University of Birmingham; and L.M., New York University Langone Medical Center.
Author contributions: A.M.B. and E.K.M. designed research; A.M.B. and M.L. performed research; A.M.B. and A.S.W. analyzed data; A.M.B., N.K., and E.K.M. wrote the paper; and N.K. co-mentored analysis of data formulating the predictive routing framework.
2Present address: Department of Psychology and Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37240.
Contributed by Nancy J. Kopell, October 13, 2020 (sent for review July 17, 2020; reviewed by Ole Jensen and Lucia Melloni)
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.2014868117