ReviewCurrent opinion in neurobiology2021
Statistical neuroscience in the single trial limit.
Review in Current opinion in neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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
17 citing papers in PubMed.
- Constructing mesoscale functionomics by neural dynamics subspace clustering.National science review · 2026Article
- Dynamic Compression Flows for Neuroscience Data.bioRxiv : the preprint server for biology · 2026Article
- A Population Coupling Model Identifies Reduced Propagation from V1 to Higher Visual Areas During Locomotion.bioRxiv : the preprint server for biology · 2026Article
- Disentangling signal and noise in neural responses through generative modeling.PLoS computational biology · 2025Article
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- Article
- Interpretable deep learning for deconvolutional analysis of neural signals.bioRxiv : the preprint server for biology · 2024Article
- Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico.Nature communications · 2024Article
- Disentangling signal and noise in neural responses through generative modeling.bioRxiv : the preprint server for biology · 2024Article
- Calibrating Bayesian Decoders of Neural Spiking Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- What does the mean mean? A simple test for neuroscience.PLoS computational biology · 2024Article
- Neural ensembles in navigation: From single cells to population codes.Current opinion in neurobiology · 2023Review
- How far neuroscience is from understanding brains.Frontiers in systems neuroscience · 2023Article
- Cognition and the single neuron: How cell types construct the dynamic computations of frontal cortex.Current opinion in neurobiology · 2022Review
- Review on data analysis methods for mesoscale neural imagingNeurophotonics · 2022Article
- Mice exhibit stochastic and efficient action switching during probabilistic decision making.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size.Neural computation · 2021Article
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
Individual neurons often produce highly variable responses over nominally identical trials, reflecting a mixture of intrinsic 'noise' and systematic changes in the animal's cognitive and behavioral state. Disentangling these sources of variability is of great scientific interest in its own right, but it is also increasingly inescapable as neuroscientists aspire to study more complex and naturalistic animal behaviors. In these settings, behavioral actions never repeat themselves exactly and may rarely do so even approximately. Thus, new statistical methods that extract reliable features of neural activity using few, if any, repeated trials are needed. Accurate statistical modeling in this severely trial-limited regime is challenging, but still possible if simplifying structure in neural data can be exploited. We review recent works that have identified different forms of simplifying structure - including shared gain modulations across neural subpopulations, temporal smoothness in neural firing rates, and correlations in responses across behavioral conditions - and exploited them to reveal novel insights into the trial-by-trial operation of neural circuits.
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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.