ArticleFrontiers in computational neuroscience2013
A computational model for preplay in the hippocampus.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 91 citations in OpenAlex.
- The Role of Plasticity in Replay: Stability Through Anti-Hebbian Rules.Hippocampus · 2026Article
- Learning, sleep replay and consolidation of contextual fear memories: A neural network model.PLoS computational biology · 2026Article
- Dynamical modulation of hippocampal replay through firing rate adaptation.Nature communications · 2026Article
- Conditions for replay of neuronal assemblies.PLoS computational biology · 2026Article
- Competition and cooperation of assembly sequences in recurrent neural networks.PLoS computational biology · 2025Article
- Intrinsic dynamics of randomly clustered networks generate place fields and preplay of novel environments.eLife · 2024Article
- Nested compressed co-representations of multiple sequential experiences during sleep.Nature neuroscience · 2024Article
- Firing rate adaptation affords place cell theta sweeps, phase precession, and procession.eLife · 2024Article
- Intrinsic dynamics of randomly clustered networks generate place fields and preplay of novel environments.bioRxiv : the preprint server for biology · 2024Article
- Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity.Nature communications · 2024Article
- The generative grammar of the brain: a critique of internally generated representations.Nature reviews. Neuroscience · 2024Review
- Contextual memory engrams, and the neuromodulatory influence of the locus coeruleus.Frontiers in molecular neuroscience · 2024Review
- Article
- Learning to predict future locations with internally generated theta sequences.PLoS computational biology · 2023Article
- A model of hippocampal replay driven by experience and environmental structure facilitates spatial learning.eLife · 2023Article
- A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells.Frontiers in computational neuroscience · 2023Article
- High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1.PLoS computational biology · 2022Article
- Article
- Spiking Neural Networks and Hippocampal Function: A Web-Accessible Survey of Simulations, Modeling Methods, and Underlying Theories.Cognitive systems research · 2021Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hippocampal network produces sequences of neural activity even when there is no time-varying external drive. In offline states, the temporal sequence in which place cells fire spikes correlates with the sequence of their place fields. Recent experiments found this correlation even between offline sequential activity (OSA) recorded before the animal ran in a novel environment and the place fields in that environment. This preplay phenomenon suggests that OSA is generated intrinsically in the hippocampal network, and not established by external sensory inputs. Previous studies showed that continuous attractor networks with asymmetric patterns of connectivity, or with slow, local negative feedback, can generate sequential activity. This mechanism could account for preplay if the network only represented a single spatial map, or chart. However, global remapping in the hippocampus implies that multiple charts are represented simultaneously in the hippocampal network and it remains unknown whether the network with multiple charts can account for preplay. Here we show that it can. Driven with random inputs, the model generates sequences in every chart. Place fields in a given chart and OSA generated by the network are highly correlated. We also find significant correlations, albeit less frequently, even when the OSA is correlated with a new chart in which place fields are randomly scattered. These correlations arise from random correlations between the orderings of place fields in the new chart and those in a pre-existing chart. Our results suggest two different accounts for preplay. Either an existing chart is re-used to represent a novel environment or a new chart is formed.
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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.