ArticleNature neuroscience2025
Rastermap: a discovery method for neural population recordings.
Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Article
- Decay chemicals activate a pH-sensing pathway to initiate a persistent state.bioRxiv : the preprint server for biology · 2026Article
- Heterogeneous Medial Prefrontal Cortex Ensembles Exhibit Reproducible Internal Temporal Dynamics during Choice Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- HIPPIE: a generative model for electrophysiological analysis across species, technologies, and modalities.Nature communications · 2026Article
- Intrinsic timing, not temporal prediction, underlies ramping dynamics in visual and parietal cortex during passive behavior.Science advances · 2026Article
- Article
- Constructing mesoscale functionomics by neural dynamics subspace clustering.National science review · 2026Article
- Experience reorganizes content-specific memory traces in macaques.Nature neuroscience · 2026Article
- Spatial and temporal representations are organized along a stable coding gradient in the medial entorhinal cortex.bioRxiv : the preprint server for biology · 2026Article
- Article
- A Two-Dimensional Grid-Cell Code for Three-Dimensional Navigation in Freely Flying Bats.bioRxiv : the preprint server for biology · 2026Article
- CA1 Engram Cell Dynamics Before and After Learning.bioRxiv : the preprint server for biology · 2026Article
- Dynamic neuronal ensembles encode burst-suppression revealed by cortex-wide optical-electrical interfaces.Nature communications · 2026Article
- Acute requirement for the hippocampus in putatively conscious vision revealed by a mouse model of blindsight.Current biology : CB · 2026Article
- Motor Cortical Computations Underlying Natural Dexterous Movement in Freely Flying Bats.bioRxiv : the preprint server for biology · 2026Article
- The Geometry of Layer 2/3 Cortical Sound Processing in Slow Wave Sleep.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Open-source modular field-programmable gate array system for two-photon mesoscope enabling multiarea, multidepth neural activity recording and lifetime imaging.Neurophotonics · 2026Article
- Dissecting neuronal circuit function and dysfunction in Alzheimer's disease mouse models: from conventional calcium imaging analysis to machine learning-based approaches.Frontiers in aging neuroscience · 2026Review
- Facilitating analysis of open neurophysiology data on the DANDI Archive using large language model tools.Scientific data · 2025Article
- Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p.eLife · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurophysiology has long progressed through exploratory experiments and chance discoveries. Anecdotes abound of researchers listening to spikes in real time and noticing patterns of activity related to ongoing stimuli or behaviors. With the advent of large-scale recordings, such close observation of data has become difficult. To find patterns in large-scale neural data, we developed 'Rastermap', a visualization method that displays neurons as a raster plot after sorting them along a one-dimensional axis based on their activity patterns. We benchmarked Rastermap on realistic simulations and then used it to explore recordings of tens of thousands of neurons from mouse cortex during spontaneous, stimulus-evoked and task-evoked epochs. We also applied Rastermap to whole-brain zebrafish recordings; to wide-field imaging data; to electrophysiological recordings in rat hippocampus, monkey frontal cortex and various cortical and subcortical regions in mice; and to artificial neural networks. Finally, we illustrate high-dimensional scenarios where Rastermap and similar algorithms cannot be used effectively.
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.