ArticleAnnual review of statistics and its application2018
Computational Neuroscience: Mathematical and Statistical Perspectives.
Article in Annual review of statistics and its application, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- How to Foster Challenging Interdisciplinary Collaborations: Can Philosophy Support Neuroscientists?The European journal of neuroscience · 2026Review
- Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional coupling.Journal of computational neuroscience · 2026Article
- A Population Coupling Model Identifies Reduced Propagation from V1 to Higher Visual Areas During Locomotion.bioRxiv : the preprint server for biology · 2026Article
- Neurodatascience: Past, Present, and Future.Data science in science · 2026Article
- Phase transitions inArXiv · 2025Article
- Depth-based statistical analysis in the spike train space.Journal of applied statistics · 2025Article
- Exploring the Frontiers of Mathematical Neuroscience: A Comprehensive Bibliometric Analysis.Cureus · 2024Review
- Automated customization of large-scale spiking network models to neuronal population activity.Nature computational science · 2024Article
- Inference of network connectivity from temporally binned spike trains.Journal of neuroscience methods · 2024Article
- Neurobiological Causal Models of Language Processing.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Oscillating neural circuits: Phase, amplitude, and the complex normal distribution.The Canadian journal of statistics = Revue canadienne de statistique · 2023Article
- Identification of interacting neural populations: methods and statistical considerations.Journal of neurophysiology · 2023Review
- Discovering Low-Dimensional Descriptions of Multineuronal Dependencies.Entropy (Basel, Switzerland) · 2023Article
- Biophysical Model: A Promising Method in the Study of the Mechanism of Propofol: A Narrative Review.Computational intelligence and neuroscience · 2022Review
- Mapping between sound, brain and behaviour: four-level framework for understanding rhythm processing in humans and non-human primates.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Monosynaptic inference via finely-timed spikes.Journal of computational neuroscience · 2021Article
- Article
- Teaching Computation in Neuroscience: Notes on the 2019 Society for Neuroscience Professional Development Workshop on Teaching.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2021Article
- Article
- ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA.The annals of applied statistics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors.
Funding
Abstract
Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.
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.