ReviewNeuron2016
Analysis of Neuronal Spike Trains, Deconstructed.
Review in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed.
- Ictal Epileptogenic Network Differences in Posterior Cingulate Epilepsy Subtypes Based on SEEG.CNS neuroscience & therapeutics · 2026Article
- Clarifying the conceptual dimensions of representation in neuroscience.Nature reviews. Neuroscience · 2026Review
- Structural dynamics and neural representation of wing deformation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Inferring neural population codes forProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields.PLoS computational biology · 2025Article
- Identification of movie encoding neurons enables movie recognition AI.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Encoding of Vibrotactile Stimuli by Mechanoreceptors in Rodent Glabrous Skin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Article
- Article
- Visual neurons recognize complex image transformations.bioRxiv : the preprint server for biology · 2024Article
- Introducing the STReaC (Spike Train Response Classification) toolbox.Journal of neuroscience methods · 2024Article
- Truly pattern: Nonlinear integration of motion signals is required to account for the responses of pattern cells in rat visual cortex.Science advances · 2023Article
- Modeling the diverse effects of divisive normalization on noise correlations.PLoS computational biology · 2023Article
- A change in behavioral state switches the pattern of motor output that underlies rhythmic head and orofacial movements.Current biology : CB · 2023Article
- Systematic reduction of the dimensionality of natural scenes allows accurate predictions of retinal ganglion cell spike outputs.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Error correction and improved precision of spike timing in converging cortical networks.Cell reports · 2022Article
- The whisking oscillator circuit.Nature · 2022Article
- Natural behavior is the language of the brain.Current biology : CB · 2022Review
- Dopamine neurons evaluate natural fluctuations in performance quality.Cell reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
As information flows through the brain, neuronal firing progresses from encoding the world as sensed by the animal to driving the motor output of subsequent behavior. One of the more tractable goals of quantitative neuroscience is to develop predictive models that relate the sensory or motor streams with neuronal firing. Here we review and contrast analytical tools used to accomplish this task. We focus on classes of models in which the external variable is compared with one or more feature vectors to extract a low-dimensional representation, the history of spiking and other variables are potentially incorporated, and these factors are nonlinearly transformed to predict the occurrences of spikes. We illustrate these techniques in application to datasets of different degrees of complexity. In particular, we address the fitting of models in the presence of strong correlations in the external variable, as occurs in natural sensory stimuli and in movement. Spectral correlation between predicted and measured spike trains is introduced to contrast the relative success of different methods.
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.