Estimating parameters and predicting membrane voltages with conductance-based neuron models
暂无分享,去创建一个
Hao Huang | Alain Nogaret | Mark Kostuk | C. Daniel Meliza | Daniel Margoliash | Henry D. I. Abarbanel | H. Abarbanel | D. Margoliash | C. Meliza | M. Kostuk | A. Nogaret | Hao Huang | D. Meliza
[1] Bin Deng,et al. Reconstruction of neuronal input through modeling single-neuron dynamics and computations. , 2016, Chaos.
[2] Amir Ayali,et al. Rhythmic behaviour and pattern-generating circuits in the locust: key concepts and recent updates. , 2010, Journal of insect physiology.
[3] D. Margoliash,et al. Parallel pathways and convergence onto HVc and adjacent neostriatum of adult zebra finches (Taeniopygia guttata) , 1995, The Journal of comparative neurology.
[4] E. Marder,et al. Similar network activity from disparate circuit parameters , 2004, Nature Neuroscience.
[5] Shigeru Shinomoto,et al. Made-to-Order Spiking Neuron Model Equipped with a Multi-Timescale Adaptive Threshold , 2009, Front. Comput. Neurosci..
[6] Nathan F. Lepora,et al. Efficient fitting of conductance-based model neurons from somatic current clamp , 2011, Journal of Computational Neuroscience.
[7] Kevin L. Briggman,et al. Optical Imaging of Neuronal Populations During Decision-Making , 2005, Science.
[8] Dezhe Z. Jin,et al. Support for a synaptic chain model of neuronal sequence generation , 2010, Nature.
[9] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[10] Henry D. I. Abarbanel,et al. Predicting the Future: Completing Models of Observed Complex Systems , 2013 .
[11] P. Jonas,et al. Kv3 Potassium Conductance is Necessary and Kinetically Optimized for High-Frequency Action Potential Generation in Hippocampal Interneurons , 2003, The Journal of Neuroscience.
[12] Wulfram Gerstner,et al. The quantitative single-neuron modeling competition , 2008, Biological Cybernetics.
[13] N. Saito,et al. Sodium‐ and calcium‐dependent conductances of neurones in the zebra finch hyperstriatum ventrale pars caudale in vitro. , 1991, The Journal of physiology.
[14] James S. Trimmer,et al. Analysis and functional implications of phosphorylation of neuronal voltage-gated potassium channels , 2010, Neuroscience Letters.
[15] J. Zinn-Justin. Quantum Field Theory and Critical Phenomena , 2002 .
[16] I. Forsythe,et al. SYMPOSIUM REVIEW: Going native: voltage‐gated potassium channels controlling neuronal excitability , 2010, The Journal of physiology.
[17] Mark Kostuk,et al. Dynamical estimation of neuron and network properties I: variational methods , 2011, Biological Cybernetics.
[18] Amrita X. Sarkar,et al. Exploiting mathematical models to illuminate electrophysiological variability between individuals , 2012, The Journal of physiology.
[19] B. Bean. The action potential in mammalian central neurons , 2007, Nature Reviews Neuroscience.
[20] R. Mooney. Different Subthreshold Mechanisms Underlie Song Selectivity in Identified HVc Neurons of the Zebra Finch , 2000, The Journal of Neuroscience.
[21] Erik De Schutter,et al. Automated neuron model optimization techniques: a review , 2008, Biological Cybernetics.
[22] B. Nixdorf,et al. Morphology of Golgi‐impregnated neurons in hyperstriatum ventralis, pars caudalis in adult male and female canaries , 1989, The Journal of comparative neurology.
[23] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[24] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[25] Henry Markram,et al. A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data , 2007, Front. Neurosci..
[26] James M. Bower,et al. A Comparative Survey of Automated Parameter-Search Methods for Compartmental Neural Models , 1999, Journal of Computational Neuroscience.
[27] H. Sebastian Seung,et al. Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC , 2007, Journal of Computational Neuroscience.
[28] Vincent A. Pieribone,et al. Single Action Potentials and Subthreshold Electrical Events Imaged in Neurons with a Fluorescent Protein Voltage Probe , 2012, Neuron.
[29] D. Perkel,et al. Multiple cell types distinguished by physiological, pharmacological, and anatomic properties in nucleus HVc of the adult zebra finch. , 1998, Journal of neurophysiology.
[30] Kevin H Hobbs,et al. Using complicated, wide dynamic range driving to develop models of single neurons in single recording sessions. , 2008, Journal of neurophysiology.
[31] Eve Marder,et al. Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. , 2003, Journal of neurophysiology.
[32] Nicholas T. Carnevale,et al. The NEURON Simulation Environment , 1997, Neural Computation.
[33] Henry D. I. Abarbanel,et al. Predicting the Future , 2013 .
[34] Mark Kostuk,et al. Data assimilation with regularized nonlinear instabilities , 2010 .
[35] Stephen P. DeWeerth,et al. A parameter-space search algorithm tested on a Hodgkin–Huxley model , 2007, Biological Cybernetics.
[36] R. Feynman,et al. Quantum Mechanics and Path Integrals , 1965 .
[37] Erik De Schutter,et al. Complex Parameter Landscape for a Complex Neuron Model , 2006, PLoS Comput. Biol..
[38] Philip E. Gill,et al. Dynamical Parameter and State Estimation in Neuron Models , 2011 .
[39] Mark Kostuk,et al. Dynamical State and Parameter Estimation , 2009, SIAM J. Appl. Dyn. Syst..
[40] R. Calabrese,et al. Using constraints on neuronal activity to reveal compensatory changes in neuronal parameters. , 2007, Journal of neurophysiology.
[41] Wulfram Gerstner,et al. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. , 2004, Journal of neurophysiology.
[42] Yonatan Sanz Perl,et al. Elemental gesture dynamics are encoded by song premotor cortical neurons , 2013, Nature.
[43] B. Bean,et al. Robustness of Burst Firing in Dissociated Purkinje Neurons with Acute or Long-Term Reductions in Sodium Conductance , 2005, The Journal of Neuroscience.
[44] G. Stuart,et al. Single Ih Channels in Pyramidal Neuron Dendrites: Properties, Distribution, and Impact on Action Potential Output , 2006, The Journal of Neuroscience.
[45] Henk Nijmeijer,et al. Nonlinear discrete-Time Synchronization via Extended observers , 2001, Int. J. Bifurc. Chaos.
[46] Robert Clewley,et al. Inferring and quantifying the role of an intrinsic current in a mechanism for a half-center bursting oscillation , 2011, Journal of biological physics.
[47] H. Brew,et al. Hyperexcitability and reduced low threshold potassium currents in auditory neurons of mice lacking the channel subunit Kv1.1 , 2003, The Journal of physiology.
[48] Thomas K. Berger,et al. Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data , 2008, Biological Cybernetics.
[49] M. Kubota,et al. Electrophysiological characteristics of classes of neuron in the HVc of the zebra finch. , 1998, Journal of neurophysiology.
[50] Rudolf A. Römer,et al. On large‐scale diagonalization techniques for the Anderson model of localization , 2005, SIAM J. Sci. Comput..
[51] Michele Pace,et al. Global parameter estimation of an Hodgkin-Huxley formalism using membrane voltage recordings: Application to neuro-mimetic analog integrated circuits , 2012, Neurocomputing.
[52] Tim Gollisch,et al. Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction , 2006, Science.
[53] Philip E. Gill,et al. Practical optimization , 1981 .
[54] B. Jouvet,et al. Quantum aspects of classical and statistical fields , 1979 .
[55] R. Mooney,et al. The HVC Microcircuit: The Synaptic Basis for Interactions between Song Motor and Vocal Plasticity Pathways , 2005, The Journal of Neuroscience.
[56] Mark Kostuk,et al. Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods , 2012, Biological Cybernetics.
[57] Stephen D. Shea,et al. Neuron-specific Cholinergic Modulation of a Forebrain Song Control Nucleus Preparation of Brain Slices , 2022 .
[58] Marguerita E Klein,et al. Telencephalic Neurons Monosynaptically Link Brainstem and Forebrain Premotor Networks Necessary for Song , 2008, The Journal of Neuroscience.
[59] Ivan G. Szendro,et al. On the problem of data assimilation by means of synchronization , 2009 .
[60] Robert Clewley,et al. Erratum to: Inferring and quantifying the role of an intrinsic current in a mechanism for a half-center bursting oscillation , 2011 .
[61] Richard Bertram,et al. Models of electrical activity: calibration and prediction testing on the same cell. , 2012, Biophysical journal.
[62] E. Marder,et al. Variable channel expression in identified single and electrically coupled neurons in different animals , 2006, Nature Neuroscience.
[63] Jianfeng Feng,et al. A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons , 2011, PLoS Comput. Biol..
[64] Wulfram Gerstner,et al. A benchmark test for a quantitative assessment of simple neuron models , 2008, Journal of Neuroscience Methods.
[65] Liam Paninski,et al. Efficient estimation of detailed single-neuron models. , 2006, Journal of neurophysiology.
[66] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[67] E. Marder,et al. Understanding circuit dynamics using the stomatogastric nervous system of lobsters and crabs. , 2007, Annual review of physiology.
[68] K. D. Punta,et al. An ultra-sparse code underlies the generation of neural sequences in a songbird , 2002 .
[69] Pierre Baldi,et al. On the Use of Bayesian Methods for Evaluating Compartmental Neural Models , 1998, Journal of Computational Neuroscience.
[70] Henry Markram,et al. Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons , 2008, Biological Cybernetics.
[71] W. R. Foster,et al. Significance of conductances in Hodgkin-Huxley models. , 1993, Journal of neurophysiology.
[72] Henry D. I. Abarbanel,et al. Effective actions for statistical data assimilation , 2009, 0908.2045.
[73] D Hochberg,et al. Effective action for stochastic partial differential equations. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[74] M. Fee,et al. Singing-related activity of identified HVC neurons in the zebra finch. , 2007, Journal of neurophysiology.
[75] R. Bertram,et al. Electrophysiological characterization and computational models of HVC neurons in the zebra finch. , 2013, Journal of neurophysiology.
[76] K. Rhodes,et al. Localization of voltage-gated ion channels in mammalian brain. , 2004, Annual review of physiology.
[77] Michael L. Hines,et al. NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail , 2010, PLoS Comput. Biol..
[78] Cengiz Günay,et al. Channel Density Distributions Explain Spiking Variability in the Globus Pallidus: A Combined Physiology and Computer Simulation Database Approach , 2008, The Journal of Neuroscience.
[79] Juan M. Restrepo,et al. A path integral method for data assimilation , 2008 .
[80] Satish S. Nair,et al. Neurons within the Same Network Independently Achieve Conserved Output by Differentially Balancing Variable Conductance Magnitudes , 2013, The Journal of Neuroscience.
[81] E. Marder,et al. Failure of averaging in the construction of a conductance-based neuron model. , 2002, Journal of neurophysiology.
[82] Kevin L. Briggman,et al. Multifunctional pattern-generating circuits. , 2008, Annual review of neuroscience.
[83] Liam Paninski,et al. Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings , 2009, PLoS Comput. Biol..
[84] Dieter Jaeger,et al. The use of automated parameter searches to improve ion channel kinetics for neural modeling , 2011, Journal of Computational Neuroscience.
[85] C. Davies,et al. Ion channels : from structure to function , 2010 .
[86] James M. Jeanne,et al. Estimation of parameters in nonlinear systems using balanced synchronization. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.