Peer-reviewedCC BYNeuron
A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe
11 affiliations
- 1Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Medical Research Council Centre of Research Excellence in Restorative Neural Dynamics, Oxford, UK. Electronic address: [email protected]
- 2CerCo, CNRS UMR5549, University of Toulouse, Toulouse, France; Brain Electrophysiology, Epilepsy and Sleep Unit, Neurology Department, Toulouse University Hospital, Toulouse, France
- 3Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Medical Research Council Centre of Research Excellence in Restorative Neural Dynamics, Oxford, UK
- 4Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 5Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Medical Research Council Centre of Research Excellence in Restorative Neural Dynamics, Oxford, UK; Oxford Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, UK
- 6CerCo, CNRS UMR5549, University of Toulouse, Toulouse, France
- 7Department of Neurology and Neurosurgery, Toulouse University Hospital, Toulouse, France; Toulouse Neuro Imaging Center, INSERM, U1214, Toulouse, France
- 8Centre de Neuro-Imagerie de Recherche, ICM Paris Brain Institute, Pitié-Salpêtrière Hospital, Paris, France
- 9Sorbonne Université, Paris Brain Institute, ICM, Inserm, CNRS, Pitié-Salpêtrière Hospital, Paris, France; Assistance Publique-Hôpitaux de Paris, Epilepsy and EEG Units and Reference Center of Rare Epilepsies, ERN EpiCare, Pitié-Salpêtrière Hospital, Paris, France
- 10CerCo, CNRS UMR5549, University of Toulouse, Toulouse, France. Electronic address: [email protected]
- 11Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Medical Research Council Centre of Research Excellence in Restorative Neural Dynamics, Oxford, UK. Electronic address: [email protected]
Abstract
Memory processing requires coordinated engagement of neuronal populations across brain networks and over time. How such coordination is organized in the human medial temporal lobe (MTL) remains unclear. Here, we show that MTL population activity is dynamically structured by a transient slow-oscillatory architecture that emerges during learning to promote offline consolidation and later recall. Using intracranial recordings that combine single-neuron spiking activity and local field potentials in human participants, we find that mnemonic engagement elicits on-demand slow-oscillatory bursts in the hippocampus. These hippocampal bursts synchronize gamma-band patterns across MTL regions, defining discrete coordination events that pace cross-regional coactivity motifs during learning. These learning-evoked population motifs are selectively reactivated during hippocampal ripples in post-learning rest, and the strength of their reactivation predicts subsequent recall accuracy. Together, these findings identify a multi-scale coordination mechanism that links distributed population activity across learning, consolidation, and recall in humans.
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BibTeX
@article{causse2026learningevoked,
title = {{A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe}},
author = {Adrien A. Causse and Jonathan Curot and Vítor Lopes‐dos‐Santos and Raphael Nunes-da-Silva and Helen Catharine Barron and Vincent Dornier and Marie Denuelle and Amaury De Barros and Jean‐Christophe Sol and Jean-Albert Lotterie and Katia Lehongre and Sara Fernández-Vidal and Valério Frazzini and Vincent Navarro and Luc Valton and Emmanuel J. Barbeau and Timothy Denison and Leila Reddy and David Dupret},
journal = {Neuron},
year = {2026},
month = jun,
doi = {10.1016/j.neuron.2026.05.004},
url = {https://hal.science/hal-05763257v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe
AU - Adrien A. Causse
AU - Jonathan Curot
AU - Vítor Lopes‐dos‐Santos
AU - Raphael Nunes-da-Silva
AU - Helen Catharine Barron
AU - Vincent Dornier
AU - Marie Denuelle
AU - Amaury De Barros
AU - Jean‐Christophe Sol
AU - Jean-Albert Lotterie
AU - Katia Lehongre
AU - Sara Fernández-Vidal
AU - Valério Frazzini
AU - Vincent Navarro
AU - Luc Valton
AU - Emmanuel J. Barbeau
AU - Timothy Denison
AU - Leila Reddy
AU - David Dupret
PY - 2026
DA - 2026/06/01
JO - Neuron
DO - 10.1016/j.neuron.2026.05.004
UR - https://hal.science/hal-05763257v1
AB - Memory processing requires coordinated engagement of neuronal populations across brain networks and over time. How such coordination is organized in the human medial temporal lobe (MTL) remains unclear. Here, we show that MTL population activity is dynamically structured by a transient slow-oscillatory architecture that emerges during learning to promote offline consolidation and later recall. Using intracranial recordings that combine single-neuron spiking activity and local field potentials in human participants, we find that mnemonic engagement elicits on-demand slow-oscillatory bursts in the hippocampus. These hippocampal bursts synchronize gamma-band patterns across MTL regions, defining discrete coordination events that pace cross-regional coactivity motifs during learning. These learning-evoked population motifs are selectively reactivated during hippocampal ripples in post-learning rest, and the strength of their reactivation predicts subsequent recall accuracy. Together, these findings identify a multi-scale coordination mechanism that links distributed population activity across learning, consolidation, and recall in humans.
SN - 0896-6273
SN - 1097-4199
ER -