ArticleeLife2020
A theory of joint attractor dynamics in the hippocampus and the entorhinal cortex accounts for artificial remapping and grid cell field-to-field variability.
Article in eLife, 2020. 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, 51 citations in OpenAlex.
- Coordinating Cognition: The Entorhinal Cortex in Mnemonic, Temporal and Spatial Representation.Cells · 2026Review
- Balancing Stability and Flow in Hippocampal Networks via Inductive Bias and Learned Symmetry Breaking.bioRxiv : the preprint server for biology · 2026Article
- Reproducible and predictable reorganization of place fields driven by grid subfield rate changes.bioRxiv : the preprint server for biology · 2026Article
- Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation.Frontiers in neuroscience · 2026Review
- Three types of remapping with linear decoders: A population-geometric perspective.PLoS computational biology · 2025Article
- Three types of remapping with linear decoders: a population-geometric perspective.bioRxiv : the preprint server for biology · 2025Article
- Robust variability of grid cell properties within individual grid modules enhances encoding of local space.eLife · 2025Article
- Article
- Computing With Residue Numbers in High-Dimensional Representation.Neural computation · 2024Article
- Robust variability of grid cell properties within individual grid modules enhances encoding of local space.bioRxiv : the preprint server for biology · 2024Article
- Synaptic ring attractor: A unified framework for attractor dynamics and multiple cues integration.Heliyon · 2024Article
- A spatial transformation-based CAN model for information integration within grid cell modules.Cognitive neurodynamics · 2024Article
- Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps.Advances in neural information processing systems · 2024Article
- Article
- Computational cross-species views of the hippocampal formation.Hippocampus · 2023Review
- Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors.Cell reports · 2022Article
- Place cells dynamically refine grid cell activities to reduce error accumulation during path integration in a continuous attractor model.Scientific reports · 2022Article
- Attractor and integrator networks in the brain.Nature reviews. Neuroscience · 2022Review
- Noise-driven bifurcations in a neural field system modelling networks of grid cells.Journal of mathematical biology · 2022Article
- Grid-cell modules remain coordinated when neural activity is dissociated from external sensory cues.Neuron · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The representation of position in the mammalian brain is distributed across multiple neural populations. Grid cell modules in the medial entorhinal cortex (MEC) express activity patterns that span a low-dimensional manifold which remains stable across different environments. In contrast, the activity patterns of hippocampal place cells span distinct low-dimensional manifolds in different environments. It is unknown how these multiple representations of position are coordinated. Here, we develop a theory of joint attractor dynamics in the hippocampus and the MEC. We show that the system exhibits a coordinated, joint representation of position across multiple environments, consistent with global remapping in place cells and grid cells. In addition, our model accounts for recent experimental observations that lack a mechanistic explanation: variability in the firing rate of single grid cells across firing fields, and artificial remapping of place cells under depolarization, but not under hyperpolarization, of layer II stellate cells of the MEC.
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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.