ReviewNeuron2019
Re-evaluating Circuit Mechanisms Underlying Pattern Separation.
Review in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.
What it found
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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.
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Who cites it
126 citing papers in PubMed.
- An Update on the Model of Connectivity of the Hippocampal Formation (I): The Perforant Pathway to the Dentate Gyrus.Hippocampus · 2026Article
- Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.Research square · 2026Article
- Cerebellum-inspired memtransistors enable emergent differentiation for hardware-efficient novelty detection.Nature communications · 2026Article
- Article
- Random innervation of cerebellar Purkinje cells as a substrate for diverse representational learning.bioRxiv : the preprint server for biology · 2026Article
- Sparsity and memory constraints interact with training sequence to bias learning of associative maps.Neuropsychologia · 2026Article
- Article
- Sleep facilitates pattern separation through SK channel-mediated sparse coding.Current biology : CB · 2026Article
- Granule cells reorient cortical manifolds to separate contexts but preserve their geometry.bioRxiv : the preprint server for biology · 2026Article
- Article
- Sparsification and decorrelation of granule cell activity in the dentate gyrus by noradrenaline.Communications biology · 2026Article
- How the olfactory bulb maintains stable odor manifolds amid adaptation and representational drift.bioRxiv : the preprint server for biology · 2026Article
- Convergence-divergence circuits for multimodal integration of innate and learned opponent valences.Frontiers in systems neuroscience · 2026Article
- Optogenetic interrogation of the zebrafish lateral line reveals brain-wide neural circuits involved in pattern separation.iScience · 2025Article
- In Vivo Analysis of Medial Perforant Path-Evoked Excitation and Inhibition in Dentate Granule Cells.eNeuro · 2025Article
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025Article
- Stability through plasticity: Finding robust memories through representational drift.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Synaptic Synchronization-Based Learning of Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.bioRxiv : the preprint server for biology · 2025Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
When animals interact with complex environments, their neural circuits must separate overlapping patterns of activity that represent sensory and motor information. Pattern separation is thought to be a key function of several brain regions, including the cerebellar cortex, insect mushroom body, and dentate gyrus. However, recent findings have questioned long-held ideas on how these circuits perform this fundamental computation. Here, we re-evaluate the functional and structural mechanisms underlying pattern separation. We argue that the dimensionality of the space available for population codes representing sensory and motor information provides a common framework for understanding pattern separation. We then discuss how these three circuits use different strategies to separate activity patterns and facilitate associative learning in the presence of trial-to-trial variability.
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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.