ReviewNature reviews. Neuroscience2026
Large-scale electrophysiology at single-spike resolution.
Review in Nature reviews. Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in electrode technology - including the development of Neuropixels and SiNAPS probes - have made it possible to routinely capture spike trains from thousands of neurons distributed across the brain. Widespread dissemination of these tools has not only yielded new discoveries but also changed the way in which neuroscientific questions are asked and answered. In this article, we describe the motivations for collecting electrophysiological recordings on this scale, review the basic physical principles underlying these measurements and discuss key considerations for generating optimally useful datasets. We compare the latest devices for large-scale recordings and address challenges and opportunities in data analysis, rigour, reproducibility and data sharing. Finally, we provide a roadmap for future advances in this space. We argue that widely available hardware, software and protocols are now empowering scientists to perform experiments matched to the scale and complexity of the neural circuits that underlie complex mammalian behaviours.
Indexed as
Identifiers
42067650What 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.