ArticleIEEE transactions on bio-medical engineering2011
Integrated multiscale modeling of the nervous system: predicting changes in hippocampal network activity by a positive AMPA receptor modulator.
Article in IEEE transactions on bio-medical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics.Frontiers in computational neuroscience · 2021Article
- Modeling Nonlinear Synaptic Dynamics: A Laguerre-Volterra Network Framework for Improved Computational Efficiency in Large Scale Simulations.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- A Glutamatergic Spine Model to Enable Multi-Scale Modeling of Nonlinear Calcium Dynamics.Frontiers in computational neuroscience · 2018Article
- On the computation of a retina resistivity profile for applications in multi-scale modeling of electrical stimulation and absorption.Physics in medicine and biology · 2016Article
- AMPA receptor potentiators: from drug design to cognitive enhancement.Current opinion in pharmacology · 2015Review
- Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations.Frontiers in computational neuroscience · 2015Article
- Synaptic Efficacy as a Function of Ionotropic Receptor Distribution: A Computational Study.PloS one · 2015Article
- A comparison between direct and indirect measurements of neurotransmitter vesicle release dynamics: a computational study.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014Article
- Pharmacological enhancement of memory or cognition in normal subjects.Frontiers in systems neuroscience · 2014Review
- A multi-scale computational model for the study of retinal prosthetic stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014Article
- Hypothesizing the body's genius to trigger and self-organize its healing: 25 years using a standardized neurophysics therapy.Frontiers in physiology · 2013Article
- A machine learning method for the prediction of receptor activation in the simulation of synapses.PloS one · 2013Article
- Has the time come for predictive computer modeling in CNS drug discovery and development?CPT: pharmacometrics & systems pharmacology · 2012Article
- A computational model to investigate astrocytic glutamate uptake influence on synaptic transmission and neuronal spiking.Frontiers in computational neuroscience · 2012Article
- Modeling of the nervous system: from modulation of glutamatergic and gabaergic molecular dynamics to neuron spiking activity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2012Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
One of the fundamental characteristics of the brain is its hierarchical organization. Scales in both space and time that must be considered when integrating across hierarchies of the nervous system are sufficiently great as to have impeded the development of routine multilevel modeling methodologies. Complex molecular interactions at the level of receptors and channels regulate activity at the level of neurons; interactions between multiple populations of neurons ultimately give rise to complex neural systems function and behavior. This spatial complexity takes place in the context of a composite temporal integration of multiple, different events unfolding at the millisecond, second, minute, hour, and longer time scales. In this study, we present a multiscale modeling methodology that integrates synaptic models into single neuron, and multineuron, network models. We have applied this approach to the specific problem of how changes at the level of kinetic parameters of a receptor-channel model are translated into changes in the temporal firing pattern of a single neuron, and ultimately, changes in the spatiotemporal activity of a network of neurons. These results demonstrate how this powerful methodology can be applied to understand the effects of a given local process within multiple hierarchical levels of the nervous system.
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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.