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• Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015) [Model]

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]

• A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012) [Model]

Caplan JS, Williams AH, Marder E. (2014). Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Temperature-Dependent Pyloric Pacemaker Kernel (Caplan JS et al., 2014) [Model]

Ceballos CC, Li S, Roque AC, Tzounopoulos T, Leão RM. (2016). Ih Equalizes Membrane Input Resistance in a Heterogeneous Population of Fusiform Neurons in the Dorsal Cochlear Nucleus. Frontiers in cellular neuroscience. 10 [PubMed]

• DCN fusiform cell (Ceballos et al. 2016) [Model]

Daur N, Diehl F, Mader W, Stein W. (2012). The stomatogastric nervous system as a model for studying sensorimotor interactions in real-time closed-loop conditions. Frontiers in computational neuroscience. 6 [PubMed]

• Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015) [Model]

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]

• Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004) [Model]

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]

Iavarone E et al. (2019). Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. PLoS computational biology. 15 [PubMed]

• Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019) [Model]

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]

• Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018) [Model]

Lamb DG, Calabrese RL. (2013). Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PloS one. 8 [PubMed]

• Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013) [Model]

Lepora NF, Overton PG, Gurney K. (2012). Efficient fitting of conductance-based model neurons from somatic current clamp. Journal of computational neuroscience. 32 [PubMed]

• Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011) [Model]

Makadia HK et al. (2015). Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology. Biophysical journal. 108 [PubMed]

• Model of AngII signaling and membrane electrophysiology (Makadia, Anderson, Fey et al., 2015) [Model]

Mukunda CL, Narayanan R. (2017). Degeneracy in the regulation of short-term plasticity and synaptic filtering by presynaptic mechanisms. The Journal of physiology. 595 [PubMed]

• Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017) [Model]

Rumbell T, Kozloski J. (2019). Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons PLOS Computational Biology. 15

• Control of oscillations and spontaneous firing in dopamine neurons (Rumbell & Kozloski 2019) [Model]

Schultheiss NW, Edgerton JR, Jaeger D. (2010). Phase response curve analysis of a full morphological globus pallidus neuron model reveals distinct perisomatic and dendritic modes of synaptic integration. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• GP Neuron, somatic and dendritic phase response curves (Schultheiss et al. 2011) [Model]

Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D. (2011). Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. Journal of computational neuroscience. 30 [PubMed]

• Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010) [Model]
• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Yang J, Shakil H, Ratté S, Prescott SA. (2022). Minimal requirements for a neuron to co-regulate many properties and the implications for ion channel correlations and robustness eLife. 11 [PubMed]

• A modified Morris-Lecar model with gM and gAHP (Yang et al., 2022) [Model]

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]

• LP neuron model database (Zang and Marder 2023) [Model]