Fitting of adaptive neuron model to electrophysiological recordings using particle swarm optimization algorithm
暂无分享,去创建一个
Bin Deng | Xile Wei | Bonan Shan | Jiang Wang | Lvxia Zhang
[1] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[2] T. Sejnowski,et al. Reliability of spike timing in neocortical neurons. , 1995, Science.
[3] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[4] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[5] 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.
[6] S. Thorpe,et al. Spike times make sense , 2005, Trends in Neurosciences.
[7] Bertrand Fontaine,et al. Fitting Neuron Models to Spike Trains , 2011, Front. Neurosci..
[8] R. FitzHugh. Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.
[9] W. Gerstner,et al. Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. , 2008, Journal of neurophysiology.
[10] Shigeru Shinomoto,et al. Made-to-Order Spiking Neuron Model Equipped with a Multi-Timescale Adaptive Threshold , 2009, Front. Comput. Neurosci..
[11] Andreas V. M. Herz,et al. A Universal Model for Spike-Frequency Adaptation , 2003, Neural Computation.
[12] Yuhua Xu,et al. Adaptive synchronization of stochastic time-varying delay dynamical networks with complex-variable systems , 2015 .
[13] Wulfram Gerstner,et al. How Good Are Neuron Models? , 2009, Science.
[14] Cyrille Rossant,et al. Automatic Fitting of Spiking Neuron Models to Electrophysiological Recordings , 2010, Front. Neuroinform..
[15] Eugene M. Izhikevich,et al. Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.
[16] Tim Gollisch,et al. Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction , 2006, Science.
[17] Bin Deng,et al. Closed-Loop Control of Tremor-Predominant Parkinsonian State Based on Parameter Estimation , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[18] Henry Markram,et al. Spike frequency adaptation and neocortical rhythms. , 2002, Journal of neurophysiology.
[19] Wulfram Gerstner,et al. Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model , 1997, Neural Computation.
[20] Emmanuel Guigon,et al. Reliability of Spike Timing Is a General Property of Spiking Model Neurons , 2003, Neural Computation.
[21] Shigeru Shinomoto,et al. Fitting a stochastic spiking model to neuronal current injection data , 2010, Neural Networks.
[22] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[23] Dequan Li,et al. Synchronization of Three-Scroll Unified Chaotic System (TSUCS) and its hyper-chaotic system using active pinning control , 2013 .
[24] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[25] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[26] Bin Deng,et al. Charactering neural spiking activity evoked by acupuncture through state-space model , 2015 .
[27] Long Zhou,et al. Chaos Multiscale-Synchronization between Two Different fractional-Order hyperchaotic Systems Based on Feedback Control , 2013, Int. J. Bifurc. Chaos.
[28] Roberto Antonio Vázquez,et al. Tuning the parameters of an integrate and fire neuron via a genetic algorithm for solving pattern recognition problems , 2015, Neurocomputing.