A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.
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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing IssueEpigenetics and nutritional environmental signalsExploiting mathematical models to illuminate electrophysiological variability between individualsSmoothing of, and parameter estimation from, noisy biophysical recordingsInferring cortical function in the mouse visual system through large-scale systems neuroscienceAn Ultrascalable Solution to Large-scale Neural Tissue SimulationEstimating parameters and predicting membrane voltages with conductance-based neuron models.Automatic Construction of Predictive Neuron Models through Large Scale Assimilation of Electrophysiological DataThe Essential Complexity of Auditory Receptive Fields.Neurofunctional model of large-scale correlates of selective attention governed by stimulus-novelty.An Approximation to the Adaptive Exponential Integrate-and-Fire Neuron Model Allows Fast and Predictive Fitting to Physiological DataA unified approach to linking experimental, statistical and computational analysis of spike train data.Regression analysis for constraining free parameters in electrophysiological models of cardiac cells.Models 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.What choline metabolism can tell us about the underlying mechanisms of fetal alcohol spectrum disorders.A self-organizing state-space-model approach for parameter estimation in hodgkin-huxley-type models of single neurons.Hybrid models and biological model reduction with PyDSToolUsing multi-compartment ensemble modeling as an investigative tool of spatially distributed biophysical balances: application to hippocampal oriens-lacunosum/moleculare (O-LM) cells.Voltage and Spike Timing Interact in STDP - A Unified Model.Automatic parameter estimation of multicompartmental neuron models via minimization of trace error with control adjustment.Fetal iron deficiency induces chromatin remodeling at the Bdnf locus in adult rat hippocampus.Striatal fast-spiking interneurons: from firing patterns to postsynaptic impact.A flexible, interactive software tool for fitting the parameters of neuronal models.Contribution of intracolumnar layer 2/3-to-layer 2/3 excitatory connections in shaping the response to whisker deflection in rat barrel cortex.Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.A Statistical Model for In Vivo Neuronal Dynamics.BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience.Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combinationRapid genetic algorithm optimization of a mouse computational model: benefits for anthropomorphization of neonatal mouse cardiomyocytesModels of electrical activity: calibration and prediction testing on the same cellA sequential Monte Carlo approach to estimate biophysical neural models from spikes.Choline status and neurodevelopmental outcomes at 5 years of age in the Seychelles Child Development Nutrition Study.From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells.Shape-specific preparatory activity mediates attention to targets in human visual cortex.Single Neuron Optimization as a Basis for Accurate Biophysical Modeling: The Case of Cerebellar Granule Cells.The effects of dietary choline.Silicon central pattern generators for cardiac diseases.
P2860
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P2860
A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
A novel multiple objective opt ...... n models by experimental data.
@ast
A novel multiple objective opt ...... n models by experimental data.
@en
type
label
A novel multiple objective opt ...... n models by experimental data.
@ast
A novel multiple objective opt ...... n models by experimental data.
@en
prefLabel
A novel multiple objective opt ...... n models by experimental data.
@ast
A novel multiple objective opt ...... n models by experimental data.
@en
P2093
P2860
P1476
A novel multiple objective opt ...... n models by experimental data.
@en
P2093
Albert Gidon
Felix Schürmann
Idan Segev
Shaul Druckmann
Yoav Banitt
P2860
P356
10.3389/NEURO.01.1.1.001.2007
P577
2007-10-15T00:00:00Z