ArticleNature neuroscience2019
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus.
Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Hippocampal phase precession may be generated by chimera dynamics.Frontiers in neural circuits · 2025Article
- Inhibitory plasticity supports replay generalization in the hippocampus.Nature neuroscience · 2024Article
- Learning, Fast and Slow: Single- and Many-Shot Learning in the Hippocampus.Annual review of neuroscience · 2024Review
- The plasticity of pyramidal neurons in the behaving brain.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Probing latent brain dynamics in Alzheimer's disease via recurrent neural network.Cognitive neurodynamics · 2024Article
- The impact of spike timing precision and spike emission reliability on decoding accuracy.Scientific reports · 2024Article
- Induced neural phase precession through exogenous electric fields.Nature communications · 2024Article
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- Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023Article
- Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex.Nature communications · 2023Article
- Pattern dynamics and stochasticity of the brain rhythms.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- How our understanding of memory replay evolves.Journal of neurophysiology · 2023Review
- Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.PLoS computational biology · 2022Article
- Delta Oscillations Coordinate Intracerebellar and Cerebello-Hippocampal Network Dynamics during Sleep.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1.PLoS computational biology · 2022Article
- Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits.PLoS computational biology · 2022Article
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- Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits.PLoS computational biology · 2021Article
- Hippocampal Sequencing Mechanisms Are Disrupted in a Maternal Immune Activation Model of Schizophrenia Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hippocampus is able to rapidly learn incoming information, even if that information is only observed once. Furthermore, this information can be replayed in a compressed format in either forward or reverse modes during sharp wave-ripples (SPW-Rs). We leveraged state-of-the-art techniques in training recurrent spiking networks to demonstrate how primarily interneuron networks can achieve the following: (1) generate internal theta sequences to bind externally elicited spikes in the presence of inhibition from the medial septum; (2) compress learned spike sequences in the form of a SPW-R when septal inhibition is removed; (3) generate and refine high-frequency assemblies during SPW-R-mediated compression; and (4) regulate the inter-SPW interval timing between SPW-Rs in ripple clusters. From the fast timescale of neurons to the slow timescale of behaviors, interneuron networks serve as the scaffolding for one-shot learning by replaying, reversing, refining, and regulating spike sequences.
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Registered trials
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