ArticleeLife2019
Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 30 citations in OpenAlex.
- A systems model of alternating theta sweeps via firing rate adaptation.Current biology : CB · 2025Article
- Firing rate adaptation affords place cell theta sweeps, phase precession, and procession.eLife · 2024Article
- Distinguishing examples while building concepts in hippocampal and artificial networks.Nature communications · 2024Article
- Offline memory replay in recurrent neuronal networks emerges from constraints on online dynamics.The Journal of physiology · 2023Article
- Article
- How our understanding of memory replay evolves.Journal of neurophysiology · 2023Review
- Multiple bumps can enhance robustness to noise in continuous attractor networks.PLoS computational biology · 2022Article
- Spiking Neural Networks and Hippocampal Function: A Web-Accessible Survey of Simulations, Modeling Methods, and Underlying Theories.Cognitive systems research · 2021Article
- The grid code for ordered experience.Nature reviews. Neuroscience · 2021Review
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.Nature neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Grid cells fire in sequences that represent rapid trajectories in space. During locomotion, theta sequences encode sweeps in position starting slightly behind the animal and ending ahead of it. During quiescence and slow wave sleep, bouts of synchronized activity represent long trajectories called replays, which are well-established in place cells and have been recently reported in grid cells. Theta sequences and replay are hypothesized to facilitate many cognitive functions, but their underlying mechanisms are unknown. One mechanism proposed for grid cell formation is the continuous attractor network. We demonstrate that this established architecture naturally produces theta sequences and replay as distinct consequences of modulating external input. Driving inhibitory interneurons at the theta frequency causes attractor bumps to oscillate in speed and size, which gives rise to theta sequences and phase precession, respectively. Decreasing input drive to all neurons produces traveling wavefronts of activity that are decoded as replays.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.