Automated neuron model optimization techniques: a review.
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Estimating parameters and predicting membrane voltages with conductance-based neuron models.Automatic Construction of Predictive Neuron Models through Large Scale Assimilation of Electrophysiological DataAn efficient automated parameter tuning framework for spiking neural networksParameter estimation of neuron models using in-vitro and in-vivo electrophysiological data.Receptive field dynamics underlying MST neuronal optic flow selectivityModels of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties.Effective stimuli for constructing reliable neuron models.Hands-on parameter search for neural simulations by a MIDI-controller.Using evolutionary algorithms for fitting high-dimensional models to neuronal data.A self-organizing state-space-model approach for parameter estimation in hodgkin-huxley-type models of single neurons.Using multi-compartment ensemble modeling as an investigative tool of spatially distributed biophysical balances: application to hippocampal oriens-lacunosum/moleculare (O-LM) cells.Automatic parameter estimation of multicompartmental neuron models via minimization of trace error with control adjustment.A flexible, interactive software tool for fitting the parameters of neuronal models.Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics.BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience.Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.A General Procedure to Study Subcellular Models of Transsynaptic Signaling at Inhibitory Synapses.Silicon central pattern generators for cardiac diseases.morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python.Synapse fits neuron: joint reduction by model inversion.Automated parameter estimation of the Hodgkin-Huxley model using the differential evolution algorithm: application to neuromimetic analog integrated circuits.The use of automated parameter searches to improve ion channel kinetics for neural modeling.Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons.Dendritic excitability modulates dendritic information processing in a purkinje cell model.Database analysis of simulated and recorded electrophysiological datasets with PANDORA's toolbox.Accelerating compartmental modeling on a graphical processing unit.Spatially distributed dendritic resonance selectively filters synaptic input.Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro.Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells.Hybridization of multi-objective evolutionary algorithms and fuzzy control for automated construction, tuning, and analysis of neuronal models.The role of cortical oscillations in a spiking neural network model of the basal ganglia.Physiological models of the lateral superior olive.A Computational Framework for Realistic Retina Modeling.Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types.Efficient fitting of conductance-based model neurons from somatic current clamp.Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational NeuroscienceData Assimilation Methods for Neuronal State and Parameter EstimationComparison of two laryngeal tissue fiber constitutive models
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P2860
Automated neuron model optimization techniques: a review.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Automated neuron model optimization techniques: a review.
@en
Automated neuron model optimization techniques: a review.
@nl
type
label
Automated neuron model optimization techniques: a review.
@en
Automated neuron model optimization techniques: a review.
@nl
prefLabel
Automated neuron model optimization techniques: a review.
@en
Automated neuron model optimization techniques: a review.
@nl
P2093
P1476
Automated neuron model optimization techniques: a review.
@en
P2093
E De Schutter
W Van Geit
P2888
P304
P356
10.1007/S00422-008-0257-6
P577
2008-11-15T00:00:00Z