ReviewFunctional neurology
Realistic modeling of neurons and networks: towards brain simulation.
Review in Functional neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
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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
26 citing papers in PubMed.
- Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function.bioRxiv : the preprint server for biology · 2026Article
- Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects.Journal of mathematical biology · 2025Review
- Evaluation of mechanisms involved in regulation of intrinsic excitability by extracellular calcium in CA1 pyramidal neurons of rat.Journal of neurochemistry · 2025Article
- Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- The Long Journey from Animal Electricity to the Discovery of Ion Channels and the Modelling of the Human Brain.Biomolecules · 2024Review
- Innovative applications of artificial intelligence during the COVID-19 pandemic.Infectious medicine · 2024Review
- Article
- HCN channels at the cell soma ensure the rapid electrical reactivity of fast-spiking interneurons in human neocortex.PLoS biology · 2023Article
- Long-Term Synaptic Plasticity Tunes the Gain of Information Channels through the Cerebellum Granular Layer.Biomedicines · 2022Article
- The brainstem connectome database.Scientific data · 2022Article
- A hypothalamomedullary network for physiological responses to environmental stresses.Nature reviews. Neuroscience · 2022Review
- Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders.International journal of molecular sciences · 2021Review
- Prediction of Neural Diameter From Morphology to Enable Accurate Simulation.Frontiers in neuroinformatics · 2021Article
- Biophysical Psychiatry-How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders.Frontiers in psychiatry · 2019Review
- Computational motility models of neurogastroenterology and neuromodulation.Brain research · 2018Review
- Cerebellar lobules and dentate nuclei mirror cortical force-related-BOLD responses: Beyond all (linear) expectations.Human brain mapping · 2017Article
- Biologically based neural circuit modelling for the study of fear learning and extinction.NPJ science of learning · 2016Article
- Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.Frontiers in cellular neuroscience · 2016Review
- Differential involvement of cortical and cerebellar areas using dominant and nondominant hands: An FMRI study.Human brain mapping · 2015Article
- 3D in vitro modeling of the central nervous system.Progress in neurobiology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Realistic modeling is a new advanced methodology for investigating brain functions. Realistic modeling is based on a detailed biophysical description of neurons and synapses, which can be integrated into microcircuits. The latter can, in turn, be further integrated to form large-scale brain networks and eventually to reconstruct complex brain systems. Here we provide a review of the realistic simulation strategy and use the cerebellar network as an example. This network has been carefully investigated at molecular and cellular level and has been the object of intense theoretical investigation. The cerebellum is thought to lie at the core of the forward controller operations of the brain and to implement timing and sensory prediction functions. The cerebellum is well described and provides a challenging field in which one of the most advanced realistic microcircuit models has been generated. We illustrate how these models can be elaborated and embedded into robotic control systems to gain insight into how the cellular properties of cerebellar neurons emerge in integrated behaviors. Realistic network modeling opens up new perspectives for the investigation of brain pathologies and for the neurorobotic field.
Indexed as
Identifiers
24139652PMC3812748What 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.