Bahl A, Stemmler MB, Herz AV, Roth A. (2012). Automated optimization of a reduced layer 5 pyramidal cell model based on experimental data. Journal of neuroscience methods. 210 [PubMed]
Bower JM, Beeman D. (1998). The Book Of Genesis: Exploring Realistic Neural Models With The General Neural Simulation System.
Brent RP. (2002). Algorithms for Minimization Without Derivatives.
Cornelis H, Rodriguez AL, Coop AD, Bower JM. (2012). Python as a federation tool for GENESIS 3.0. PloS one. 7 [PubMed]
Davison AP et al. (2008). PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in neuroinformatics. 2 [PubMed]
De Schutter E, Bower JM. (1994). An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. Journal of neurophysiology. 71 [PubMed]
De Schutter E, Bower JM. (1994). An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses. Journal of neurophysiology. 71 [PubMed]
Druckmann S et al. (2007). A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data. Frontiers in neuroscience. 1 [PubMed]
Druckmann S et al. (2008). Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biological cybernetics. 99 [PubMed]
Eichner H, Borst A. (2011). Hands-on parameter search for neural simulations by a MIDI-controller. PloS one. 6 [PubMed]
Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO. (2008). PyNEST: A Convenient Interface to the NEST Simulator. Frontiers in neuroinformatics. 2 [PubMed]
Garcia S et al. (2014). Neo: an object model for handling electrophysiology data in multiple formats. Frontiers in neuroinformatics. 8 [PubMed]
Gerstner W, Naud R. (2009). Neuroscience. How good are neuron models? Science (New York, N.Y.). 326 [PubMed]
Gleeson P et al. (2010). NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS computational biology. 6 [PubMed]
Goodman DF, Brette R. (2009). The brian simulator. Frontiers in neuroscience. 3 [PubMed]
Gurkiewicz M, Korngreen A. (2007). A numerical approach to ion channel modelling using whole-cell voltage-clamp recordings and a genetic algorithm. PLoS computational biology. 3 [PubMed]
Hay E, Hill S, Schürmann F, Markram H, Segev I. (2011). Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties. PLoS computational biology. 7 [PubMed]
Hendrickson EB, Edgerton JR, Jaeger D. (2011). The use of automated parameter searches to improve ion channel kinetics for neural modeling. Journal of computational neuroscience. 31 [PubMed]
Hines ML, Carnevale NT. (2006). The NEURON Book.
Hines ML, Davison AP, Muller E. (2009). NEURON and Python. Frontiers in neuroinformatics. 3 [PubMed]
Huys QJ, Ahrens MB, Paninski L. (2006). Efficient estimation of detailed single-neuron models. Journal of neurophysiology. 96 [PubMed]
Huys QJ, Paninski L. (2009). Smoothing of, and parameter estimation from, noisy biophysical recordings. PLoS computational biology. 5 [PubMed]
Keren N, Peled N, Korngreen A. (2005). Constraining compartmental models using multiple voltage recordings and genetic algorithms. Journal of neurophysiology. 94 [PubMed]
Kirkpatrick S, Gelatt CD, Vecchi MP. (1983). Optimization by simulated annealing. Science (New York, N.Y.). 220 [PubMed]
Káli S, Freund TF. (2005). Distinct properties of two major excitatory inputs to hippocampal pyramidal cells: a computational study. The European journal of neuroscience. 22 [PubMed]
Naud R, Marcille N, Clopath C, Gerstner W. (2008). Firing patterns in the adaptive exponential integrate-and-fire model. Biological cybernetics. 99 [PubMed]
Nelder JA, Mead J. (1965). A simplex algorithm for function minimization Computer J. 7
Nocedal J, Byrd RH, Lu P, Zhu C. (1995). A limited memory algorithm for bound constrained optimization Siam J Sci Comput. 16
Poirazi P, Brannon T, Mel BW. (2003). Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell. Neuron. 37 [PubMed]
Rossant C et al. (2011). Fitting neuron models to spike trains. Frontiers in neuroscience. 5 [PubMed]
Rossant C, Goodman DF, Platkiewicz J, Brette R. (2010). Automatic fitting of spiking neuron models to electrophysiological recordings. Frontiers in neuroinformatics. 4 [PubMed]
Svensson CM, Coombes S, Peirce JW. (2012). Using evolutionary algorithms for fitting high-dimensional models to neuronal data. Neuroinformatics. 10 [PubMed]
Van Geit W, Achard P, De Schutter E. (2007). Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models. Frontiers in neuroinformatics. 1 [PubMed]
Van Geit W, De Schutter E, Achard P. (2008). Automated neuron model optimization techniques: a review. Biological cybernetics. 99 [PubMed]
Vanier MC, Bower JM. (1999). A comparative survey of automated parameter-search methods for compartmental neural models. Journal of computational neuroscience. 7 [PubMed]
Vavoulis DV, Straub VA, Aston JA, Feng J. (2012). A self-organizing state-space-model approach for parameter estimation in hodgkin-huxley-type models of single neurons. PLoS computational biology. 8 [PubMed]
Jȩdrzejewski-Szmek Z, Abrahao KP, Jȩdrzejewska-Szmek J, Lovinger DM, Blackwell KT. (2018). Parameter Optimization Using Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. Frontiers in neuroinformatics. 12 [PubMed]
Rumbell TH et al. (2016). Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons. Journal of computational neuroscience. 41 [PubMed]
Ujfalussy BB, Makara JK, Lengyel M, Branco T. (2018). Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100 [PubMed]