Almog M, Korngreen A. (2014). A Quantitative Description of Dendritic Conductances and Its Application to Dendritic Excitation in Layer 5 Pyramidal Neurons The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014) [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]

Friedrich P, Vella M, Gulyás AI, Freund TF, Káli S. (2014). A flexible, interactive software tool for fitting the parameters of neuronal models. Frontiers in neuroinformatics. 8 [PubMed]

• Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014) [Model]

Guo T et al. (2016). Electrical activity of ON and OFF retinal ganglion cells: a modelling study. Journal of neural engineering. 13 [PubMed]

• Retinal ganglion cells responses and activity (Tsai et al 2012, Guo et al 2016) [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]

Huys QJ, Paninski L. (2009). Smoothing of, and parameter estimation from, noisy biophysical recordings. PLoS computational biology. 5 [PubMed]

• Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009) [Model]

Kozloski J, Wagner J. (2011). An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Frontiers in neuroinformatics. 5 [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]

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

Linaro D, Storace M, Giugliano M. (2011). Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation. PLoS computational biology. 7 [PubMed]

• Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011) [Model]

Manis PB, Campagnola L. (2018). A biophysical modelling platform of the cochlear nucleus and other auditory circuits: From channels to networks. Hearing research. 360 [PubMed]

• Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018) [Model]

Masoli S, D'Angelo E. (2017). Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites. Frontiers in cellular neuroscience. 11 [PubMed]

• Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017) [Model]

Masoli S, Solinas S, D'Angelo E. (2015). Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Frontiers in cellular neuroscience. 9 [PubMed]

• A detailed Purkinje cell model (Masoli et al 2015) [Model]

Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]

• Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]

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]

• Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016) [Model]