ModelDB: Models that contain the Model Topic : Methods

Models that contain the Model Topic : Methods

(Research on numerical, mathematical, or computational neuroscience algorithms.)

Models
A comparative computer simulation of dendritic morphology (Donohue and Ascoli 2008)
A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009)
A method of counting motor units in mice (Major et al 2007)
AP shape and parameter constraints in optimization of compartment models (Weaver and Wearne 2006)
Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
Allosteric gating of K channels (Horrigan et al 1999)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Channel parameter estimation from current clamp and neuronal properties (Toth, Crunelli 2001)
Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007)
Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
Discrete event simulation in the NEURON environment (Hines and Carnevale 2004)
Distributed computing tool for NEURON, NEURONPM (screensaver) (Calin-Jageman and Katz 2006)
Efficient estimation of detailed single-neuron models (Huys et al. 2006)
Evaluation of stochastic diff. eq. approximation of ion channel gating models (Bruce 2009)
Fast population coding (Huys et al. 2007)
Fully Implicit Parallel Simulation of Single Neurons (Hines et al. 2008)
Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008)
High-Res. Recordings Using a Real-Time Computational Model of the Electrode (Brette et al. 2008)
Implementation issues in approximate methods for stochastic Hodgkin-Huxley models (Bruce 2007)
Inferring connection proximity in electrically coupled networks (Cali et al. 2007)
Ion channel modeling with whole cell and a genetic algorithm (Gurkiewicz and Korngreen 2007)
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
Local variable time step method (Lytton, Hines 2005)
Mapping function onto neuronal morphology (Stiefel and Sejnowski 2007)
Method of probabilistic principle surfaces (PPS) (Chang and Ghosh 2001)
Moose/PyMOOSE: interoperable scripting in Python for MOOSE (Ray and Bhalla 2008)
Motoneuron simulations for counting motor units (Major and Jones 2005)
NEUROFIT: fitting HH models to voltage clamp data (Willms 2002)
NEURON + Python (Hines et al. 2009)
NEURON interfaces to MySQL and the SPUD feature extraction algorithm (Neymotin et al. 2007)
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
Neural Query System NQS Data-Mining From Within the NEURON Simulator (Lytton 2006)
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
Parallel network simulations with NEURON (Migliore et al 2006)
Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)
Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009)
Recording from rod bipolar axon terminals in situ (Oltedal et al 2007)
Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)
Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
Reverse-time correlation analysis for idealized orientation tuning dynamics (Kovacic et al. 2008)
Spatial gridding and temporal accuracy in NEURON (Hines and Carnevale 2001)
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)

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