ReviewFrontiers in neuroinformatics2019
A Brief History of Simulation Neuroscience.
Review in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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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.
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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.
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Who cites it
28 citing papers in PubMed.
- Axon collateralization and focal myelin dystrophy alter action potential propagation in multicompartment pyramidal neuron models.PLoS computational biology · 2025Article
- AECuration: automated event curation for spike sorting.Journal of neural engineering · 2025Article
- Metabolic connectivity has greater predictive utility for age and cognition than functional connectivity.Brain communications · 2025Article
- Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness.Scientific reports · 2024Article
- Louis Lapicque (1866-1952).Journal of neurology · 2024Article
- Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.PLoS biology · 2024Article
- Article
- Engineering 3D Scaffold-Free Nanoparticle-Laden Stem Cell Constructs for Piezoelectric Enhancement of Human Neural Tissue Formation and Function.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- The Long Journey from Animal Electricity to the Discovery of Ion Channels and the Modelling of the Human Brain.Biomolecules · 2024Review
- Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics.PloS one · 2024Article
- Comprehensive bibliometric research in neuroscience: focusing on ophthalmology.Frontiers in neuroscience · 2023Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- It's in the Timing: Reduced Temporal Precision in Neural Activity of Schizophrenia.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- An application of neighbourhoods in digraphs to the classification of binary dynamics.Network neuroscience (Cambridge, Mass.) · 2022Article
- What Does the General Public Know (or Not) About Neuroscience? Effects of Age, Region and Profession in Brazil.Frontiers in human neuroscience · 2022Article
- The present and future of neural interfaces.Frontiers in neurorobotics · 2022Article
- Towards the Idea of Molecular Brains.International journal of molecular sciences · 2021Review
- Modeling protein-protein interactions in axon initial segment to understand their potential impact on action potential initiation.Neural regeneration research · 2021Article
- Modeling nucleus accumbens : A Computational Model from Single Cell to Circuit Level.Journal of computational neuroscience · 2021Article
- QDECR: A Flexible, Extensible Vertex-Wise Analysis Framework in R.Frontiers in neuroinformatics · 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
No grant is acknowledged in the PubMed record.
Abstract
Our knowledge of the brain has evolved over millennia in philosophical, experimental and theoretical phases. We suggest that the next phase is simulation neuroscience. The main drivers of simulation neuroscience are big data generated at multiple levels of brain organization and the need to integrate these data to trace the causal chain of interactions within and across all these levels. Simulation neuroscience is currently the only methodology for systematically approaching the multiscale brain. In this review, we attempt to reconstruct the deep historical paths leading to simulation neuroscience, from the first observations of the nerve cell to modern efforts to digitally reconstruct and simulate the brain. Neuroscience began with the identification of the neuron as the fundamental unit of brain structure and function and has evolved towards understanding the role of each cell type in the brain, how brain cells are connected to each other, and how the seemingly infinite networks they form give rise to the vast diversity of brain functions. Neuronal mapping is evolving from subjective descriptions of cell types towards objective classes, subclasses and types. Connectivity mapping is evolving from loose topographic maps between brain regions towards dense anatomical and physiological maps of connections between individual genetically distinct neurons. Functional mapping is evolving from psychological and behavioral stereotypes towards a map of behaviors emerging from structural and functional connectomes. We show how industrialization of neuroscience and the resulting large disconnected datasets are generating demand for integrative neuroscience, how the scale of neuronal and connectivity maps is driving digital atlasing and digital reconstruction to piece together the multiple levels of brain organization, and how the complexity of the interactions between molecules, neurons, microcircuits and brain regions is driving brain simulation to understand the interactions in the multiscale brain.
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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.