ReviewNature reviews. Neuroscience2011
Using theoretical models to analyse neural development.
Review in Nature reviews. Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 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
48 citing papers in PubMed.
- Multiscale Cell-Cell Interactive Spatial Transcriptomics Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Resolving inconsistent effects of tDCS on learning using a homeostatic structural plasticity model.Frontiers in network physiology · 2025Article
- Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching.Frontiers in computational neuroscience · 2025Article
- Approaches to embryonic neurodevelopment: from neural cell to neural tube formation through mathematical models.Briefings in bioinformatics · 2024Article
- Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network.Frontiers in computational neuroscience · 2023Review
- Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022Review
- Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks.Frontiers in computational neuroscience · 2022Article
- The Neurobiology of Zika Virus: New Models, New Challenges.Frontiers in neuroscience · 2021Review
- A generative growth model for thalamocortical axonal branching in primary visual cortex.PLoS computational biology · 2020Article
- Spatially resolved dendritic integration: towards a functional classification of neurons.PeerJ · 2020Article
- Network remodeling induced by transcranial brain stimulation: A computational model of tDCS-triggered cell assembly formation.Network neuroscience (Cambridge, Mass.) · 2019Article
- A stochastic framework to model axon interactions within growing neuronal populations.PLoS computational biology · 2018Article
- Theoretical Models of Neural Development.iScience · 2018Review
- Activity-Dependent Downscaling of Subthreshold Synaptic Inputs during Slow-Wave-Sleep-like Activity In Vivo.Neuron · 2018Article
- Numerical characterization of regenerative axons growing along a spherical multifunctional scaffold after spinal cord injury.PloS one · 2018Article
- Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.Frontiers in neuroinformatics · 2018Article
- Fast wide-volume functional imaging of engineered in vitro brain tissues.Scientific reports · 2017Article
- Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks.PLoS computational biology · 2017Article
- Micro-connectomics: probing the organization of neuronal networks at the cellular scale.Nature reviews. Neuroscience · 2017Review
Corrections and comments
- Erratum issued
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of the nervous system is an extremely complex and dynamic process. Through the continuous interplay of genetic information and changing intra- and extracellular environments, the nervous system constructs itself from precursor cells that divide and form neurons, which migrate, differentiate and establish synaptic connections. Our understanding of neural development can be greatly assisted by mathematical and computational modelling, because it allows us to bridge the gap between system-level dynamics and the lower level cellular and molecular processes. This Review shows the potential of theoretical models to examine many aspects of neural development.
Indexed as
Identifiers
21587288What 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.