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Layer and rhythm specificity for predictive routing

André M. Bastos, Mikael Lundqvist, Ayan S. Waite, Nancy Kopell, Earl K. Miller
doi: https://doi.org/10.1101/2020.01.27.921783
André M. Bastos
1The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139
2Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
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Mikael Lundqvist
1The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139
2Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
3Department of psychology, Biological psychology, Stockholm University, SE-10691, Stockholm, Sweden
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Ayan S. Waite
1The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139
2Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
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Nancy Kopell
4Department of Mathematics and Statistics, Boston University, Boston, MA 02215
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Earl K. Miller
1The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139
2Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
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  • For correspondence: ekmiller@mit.edu
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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 different neural implementations of predictive coding. We recorded spikes and local field potentials from laminar electrodes in five cortical areas (V4, LIP, area 7A, FEF, and PFC) while monkeys performed a task that modulated visual stimulus predictability. Pre-stimulus predictions were associated with increased alpha/beta (8-30 Hz) power/coherence that fed back the cortical hierarchy primarily via deep-layer cortex. Unpredictable stimuli were associated with increases in spiking and in gamma-band (40-90 Hz) power/coherence that fed forward up the cortical hierarchy via superficial-layer cortex. Area 7A uniquely showed increases in high-beta (~22-28 Hz) power/coherence to unpredicted stimuli. These results suggest 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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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 28, 2020.
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Layer and rhythm specificity for predictive routing
André M. Bastos, Mikael Lundqvist, Ayan S. Waite, Nancy Kopell, Earl K. Miller
bioRxiv 2020.01.27.921783; doi: https://doi.org/10.1101/2020.01.27.921783
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Layer and rhythm specificity for predictive routing
André M. Bastos, Mikael Lundqvist, Ayan S. Waite, Nancy Kopell, Earl K. Miller
bioRxiv 2020.01.27.921783; doi: https://doi.org/10.1101/2020.01.27.921783

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