ArticleCell2020
The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05746299 (The Emergence of Abstract Structure Knowledge Across Learning and Sleep), which is not on this map. Cited by 257 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Emergence of Abstract Structure Knowledge Across Learning and Sleep
Who cites it
257 citing papers in PubMed.
- Article
- Article
- Offline generative network reconfiguration guides insight-like accelerated learning by assimilation into schema in rats.Nature communications · 2026Article
- Positive and Negative Retinotopic Codes in the Human Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Acetylcholine: a candidate substrate for hippocampal predictive learning?Nature reviews. Neuroscience · 2026Review
- Hippocampal theta sweeps indicate goal direction during navigation.Nature neuroscience · 2026Article
- Synaptic-state-dependent plasticity routes learning signals in recurrent circuits.bioRxiv : the preprint server for biology · 2026Article
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Data augmentation as a framework for modeling hippocampal contributions to generalization.ArXiv · 2026Article
- Selective convergence and graded divergence of hippocampal and amygdala subregions using functional connectivity.bioRxiv : the preprint server for biology · 2026Article
- The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- An abstract relational map emerges in the human medial prefrontal cortex with consolidation.Current biology : CB · 2026Article
- Flexible navigation with neuromodulated cognitive maps.PLoS computational biology · 2026Article
- Article
- Planning in the Brain: It's Not What You Think It Is.Annual review of neuroscience · 2026Review
- Hippocampo-neocortical interaction as compressive retrieval-augmented generation.Nature communications · 2026Article
- GATE: Adaptive learning with working memory by information gating in multi-lamellar hippocampal formation.PLoS computational biology · 2026Article
- Article
- Dual computational systems in the development and evolution of mammalian brains.Science advances · 2026Article
- Medial temporal lobe encodes cognitive maps of real-world social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
197 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
Abstract
The hippocampal-entorhinal system is important for spatial and relational memory tasks. We formally link these domains, provide a mechanistic understanding of the hippocampal role in generalization, and offer unifying principles underlying many entorhinal and hippocampal cell types. We propose medial entorhinal cells form a basis describing structural knowledge, and hippocampal cells link this basis with sensory representations. Adopting these principles, we introduce the Tolman-Eichenbaum machine (TEM). After learning, TEM entorhinal cells display diverse properties resembling apparently bespoke spatial responses, such as grid, band, border, and object-vector cells. TEM hippocampal cells include place and landmark cells that remap between environments. Crucially, TEM also aligns with empirically recorded representations in complex non-spatial tasks. TEM also generates predictions that hippocampal remapping is not random as previously believed; rather, structural knowledge is preserved across environments. We confirm this structural transfer over remapping in simultaneously recorded place and grid cells.
Indexed as
Identifiers
What OpenQuestion holds
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.