Aumentado-Armstrong T, Metzen MG, Sproule MK, Chacron MJ. (2015). Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. PLoS computational biology. 11 [PubMed]
Ausborn J, Stein W, Wolf H. (2007). Frequency control of motor patterning by negative sensory feedback. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]
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]
Balachandar A, Prescott SA. (2018). Origin of heterogeneous spiking patterns from continuously distributed ion channel densities: a computational study in spinal dorsal horn neurons. The Journal of physiology. 596 [PubMed]
Beer RD. (2006). Parameter space structure of continuous-time recurrent neural networks. Neural computation. 18 [PubMed]
Carlu M et al. (2020). A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models. Journal of neurophysiology. 123 [PubMed]
Golomb D et al. (2007). Mechanisms of firing patterns in fast-spiking cortical interneurons. PLoS computational biology. 3 [PubMed]
Günay C, Doloc-Mihu A, Lamb DG, Calabrese RL. (2019). Synaptic Strengths Dominate Phasing of Motor Circuit: Intrinsic Conductances of Neuron Types Need Not Vary across Animals. eNeuro. 6 [PubMed]
Günay C, Prinz AA. (2010). Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [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]
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]
Keren N, Peled N, Korngreen A. (2005). Constraining compartmental models using multiple voltage recordings and genetic algorithms. Journal of neurophysiology. 94 [PubMed]
Khaliq ZM, Gouwens NW, Raman IM. (2003). The contribution of resurgent sodium current to high-frequency firing in Purkinje neurons: an experimental and modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Lamb DG, Calabrese RL. (2013). Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PloS one. 8 [PubMed]
Lepora NF, Overton PG, Gurney K. (2012). Efficient fitting of conductance-based model neurons from somatic current clamp. Journal of computational neuroscience. 32 [PubMed]
Neymotin SA, Dura-Bernal S, Lakatos P, Sanger TD, Lytton WW. (2016). Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. Frontiers in pharmacology. 7 [PubMed]
Neymotin SA et al. (2017). Optimizing computer models of corticospinal neurons to replicate in vitro dynamics. Journal of neurophysiology. 117 [PubMed]
Nowotny T, Levi R, Selverston AI. (2008). Probing the dynamics of identified neurons with a data-driven modeling approach. PloS one. 3 [PubMed]
Ori H, Marder E, Marom S. (2018). Cellular function given parametric variation in the Hodgkin and Huxley model of excitability. Proceedings of the National Academy of Sciences of the United States of America. 115 [PubMed]
Podlaski WF et al. (2017). Mapping the function of neuronal ion channels in model and experiment. eLife. 6 [PubMed]
Pospischil M et al. (2008). Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biological cybernetics. 99 [PubMed]
Rho YA, Prescott SA. (2012). Identification of molecular pathologies sufficient to cause neuropathic excitability in primary somatosensory afferents using dynamical systems theory. PLoS computational biology. 8 [PubMed]
Rich S, Moradi Chameh H, Sekulic V, Valiante TA, Skinner FK. (2021). Modeling Reveals Human-Rodent Differences in H-Current Kinetics Influencing Resonance in Cortical Layer 5 Neurons. Cerebral cortex (New York, N.Y. : 1991). 31 [PubMed]
Roper P, Callaway J, Shevchenko T, Teruyama R, Armstrong W. (2003). AHP's, HAP's and DAP's: how potassium currents regulate the excitability of rat supraoptic neurones. Journal of computational neuroscience. 15 [PubMed]
Tobin AE, Calabrese RL. (2006). Endogenous and half-center bursting in morphologically inspired models of leech heart interneurons. Journal of neurophysiology. 96 [PubMed]
Tobin AE, Van Hooser SD, Calabrese RL. (2006). Creation and reduction of a morphologically detailed model of a leech heart interneuron. Journal of neurophysiology. 96 [PubMed]
Wang YC et al. (2022). Multimodal parameter spaces of a complex multi-channel neuron model Frontiers in systems neuroscience. 16 [PubMed]
Webster-Wood VA, Gill JP, Thomas PJ, Chiel HJ. (2020). Control for multifunctionality: bioinspired control based on feeding in Aplysia californica. Biological cybernetics. 114 [PubMed]
Zang Y, Marder E. (2023). Neuronal morphology enhances robustness to perturbations of channel densities Proceedings of the National Academy of Sciences of the United States of America. 120 [PubMed]