ReviewiScience2018
Theoretical Models of Neural Development.
Review in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data.Frontiers in human neuroscience · 2025Article
- Deciphering the topological landscape of glioma using a network theory framework.Scientific reports · 2024Article
- Evolution of Telencephalon Anterior-Posterior Patterning through Core Endogenous Network Bifurcation.Entropy (Basel, Switzerland) · 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
- On the Role of LGN/V1 Spontaneous Activity as an Innate Learning Pattern for Visual Development.Frontiers in physiology · 2021Article
- Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction.eLife · 2020Article
- Collective almost synchronization-based model to extract and predict features of EEG signals.Scientific reports · 2020Article
- Adaptive Landscape Shaped by Core Endogenous Network Coordinates Complex Early Progenitor Fate Commitments in Embryonic Pancreas.Scientific reports · 2020Article
- Technique Advances in Enteroatmospheric Fistula Isolation After Open Abdomen: A Review and Outlook.Frontiers in surgery · 2020Review
- Distinct Microtubule Organizing Center Mechanisms Combine to Generate Neuron Polarity and Arbor Complexity.Frontiers in cellular neuroscience · 2020Review
- BCNNM: A Framework forFrontiers in computational neuroscience · 2020Article
- Multi-context blind source separation by error-gated Hebbian rule.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Constructing a functioning nervous system requires the precise orchestration of a vast array of mechanical, molecular, and neural-activity-dependent cues. Theoretical models can play a vital role in helping to frame quantitative issues, reveal mathematical commonalities between apparently diverse systems, identify what is and what is not possible in principle, and test the abilities of specific mechanisms to explain the data. This review focuses on the progress that has been made over the last decade in our theoretical understanding of neural development.
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.