Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing

Ignacio Polti, Matthias Nau, Raphael Kaplan, Virginie van Wassenhove, Christian F. Doeller

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The brain encodes the statistical regularities of the environment in a task-specific yet flexible and generalizable format. Here, we seek to understand this process by bridging two parallel lines of research, one centered on sensorimotor timing, and the other on cognitive mapping in the hippocampal system. By combining functional magnetic resonance imaging (fMRI) with a fast-paced time-to-contact (TTC) estimation task, we found that the hippocampus signaled behavioral feedback received in each trial as well as performance improvements across trials along with reward-processing regions. Critically, it signaled performance improvements independent from the tested intervals, and its activity accounted for the trial-wise regression-to-the-mean biases in TTC estimation. This is in line with the idea that the hippocampus supports the rapid encoding of temporal context even on short time scales in a behavior-dependent manner. Our results emphasize the central role of the hippocampus in statistical learning and position it at the core of a brain-wide network updating sensorimotor representations in real time for flexible behavior.
Original languageEnglish
Article numbere79027
JournaleLife
Volume11
DOIs
Publication statusPublished - 1 Nov 2022
Externally publishedYes

Funding

We thank Raymundo Machado de Azevedo Neto for helpful comments on an earlier version of this manuscript. CFD’s research is supported by the Max Planck Society, the Kavli Foundation, the Jebsen foundation, the Centre of Excellence scheme of the Research Council of Norway – Centre for Neural Computation (223262 /F50), The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits and the National Infrastructure scheme of the Research Council of Norway – NORBRAIN (197467 /F50). MN’s research is supported by a Feodor-Lynen Research Fellowship of the Alexander von Humboldt Foundation. RK’s research is supported by a CIDEGENT grant (CIDEGENT/2021/027) from the Valencian Community’s program for the support of talented researchers and the Ministerio de Ciencia, Innovación y Universidades, which is part of the Agencia Estatal de Investigación (AEI), through the project PID2021-12233NA-100.

FundersFunder number
Centre of Excellence scheme of the Research Council of Norway – Centre for Neural Computation223262 /F50
Jebsen foundation
NORBRAIN197467 /F50
Kavli Foundation
Alexander von Humboldt-StiftungCIDEGENT/2021/027
Horizon 2020 Framework Programme724836
Ministerio de Ciencia, Innovación y Universidades
Max-Planck-Gesellschaft
Norges forskningsråd
Agencia Estatal de InvestigaciónPID2021-12233NA-100

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