Achard P, De Schutter E. (2006). Complex parameter landscape for a complex neuron model. PLoS computational biology. 2 [PubMed]

Bean BP. (2007). The action potential in mammalian central neurons. Nature reviews. Neuroscience. 8 [PubMed]

Burke RE. (2000). Comparison of alternative designs for reducing complex neurons to equivalent cables. Journal of computational neuroscience. 9 [PubMed]

Bush PC, Sejnowski TJ. (1993). Reduced compartmental models of neocortical pyramidal cells. Journal of neuroscience methods. 46 [PubMed]

Caporale N, Dan Y. (2008). Spike timing-dependent plasticity: a Hebbian learning rule. Annual review of neuroscience. 31 [PubMed]

Davison AP, Feng J, Brown D. (2000). A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb. Brain research bulletin. 51 [PubMed]

• Olfactory Mitral Cell (Davison et al 2000) [Model]

Destexhe A. (2001). Simplified models of neocortical pyramidal cells preserving somatodendritic voltage attenuation Neurocomputing. 38-40

Destexhe A, Neubig M, Ulrich D, Huguenard J. (1998). Dendritic low-threshold calcium currents in thalamic relay cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]
• Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian) [Model]

Destexhe A, Rudolph M, Paré D. (2003). The high-conductance state of neocortical neurons in vivo. Nature reviews. Neuroscience. 4 [PubMed]

Gauck V, Jaeger D. (2000). The control of rate and timing of spikes in the deep cerebellar nuclei by inhibition. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Golding NL, Spruston N. (1998). Dendritic sodium spikes are variable triggers of axonal action potentials in hippocampal CA1 pyramidal neurons. Neuron. 21 [PubMed]

Gulledge AT, Kampa BM, Stuart GJ. (2005). Synaptic integration in dendritic trees. Journal of neurobiology. 64 [PubMed]

Günay C, Edgerton JR, Jaeger D. (2008). Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008) [Model]

Hanson JE, Smith Y, Jaeger D. (2004). Sodium channels and dendritic spike initiation at excitatory synapses in globus pallidus neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Herz AV, Gollisch T, Machens CK, Jaeger D. (2006). Modeling single-neuron dynamics and computations: a balance of detail and abstraction. Science (New York, N.Y.). 314 [PubMed]

Holmes WR, Rall W. (1992). Estimating the electrotonic structure of neurons with compartmental models. Journal of neurophysiology. 68 [PubMed]

Holmes WR, Woody CD. (1989). Effects of uniform and non-uniform synaptic 'activation-distributions' on the cable properties of modeled cortical pyramidal neurons. Brain research. 505 [PubMed]

Huys QJ, Ahrens MB, Paninski L. (2006). Efficient estimation of detailed single-neuron models. Journal of neurophysiology. 96 [PubMed]

• Efficient estimation of detailed single-neuron models (Huys et al. 2006) [Model]

Izhikevich EM. (2004). Which model to use for cortical spiking neurons? IEEE transactions on neural networks. 15 [PubMed]

• Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]

Johnston D, Wu SMS. (1995). Foundations of Cellular Neurophysiology with simulations and illustrations by Richard Gray Foundations of Cellular Neurophysiology.

Kuznetsov AS, Kopell NJ, Wilson CJ. (2006). Transient high-frequency firing in a coupled-oscillator model of the mesencephalic dopaminergic neuron. Journal of neurophysiology. 95 [PubMed]

• Dopaminergic cell bursting model (Kuznetsov et al 2006) [Model]

Letzkus JJ, Kampa BM, Stuart GJ. (2006). Learning rules for spike timing-dependent plasticity depend on dendritic synapse location. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• STDP depends on dendritic synapse location (Letzkus et al. 2006) [Model]

London M, Häusser M. (2005). Dendritic computation. Annual review of neuroscience. 28 [PubMed]

Losonczy A, Makara JK, Magee JC. (2008). Compartmentalized dendritic plasticity and input feature storage in neurons. Nature. 452 [PubMed]

McCormick DA, Shu Y, Yu Y. (2007). Neurophysiology: Hodgkin and Huxley model--still standing? Nature. 445 [PubMed]

• AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008) [Model]

Naundorf B, Wolf F, Volgushev M. (2006). Unique features of action potential initiation in cortical neurons. Nature. 440 [PubMed]

Prinz AA, Billimoria CP, Marder E. (2003). Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. Journal of neurophysiology. 90 [PubMed]

Prinz AA, Bucher D, Marder E. (2004). Similar network activity from disparate circuit parameters. Nature neuroscience. 7 [PubMed]

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

RALL W. (1959). Branching dendritic trees and motoneuron membrane resistivity. Experimental neurology. 1 [PubMed]

Rall W. (1964). Theoretical significance of dendritic trees for neuronal input output relations Neural Theory and Modeling.

• Effects of synaptic location and timing on synaptic integration (Rall 1964) [Model]

Rall W et al. (1992). Matching dendritic neuron models to experimental data. Physiological reviews. 72 [PubMed]

Rubchinsky LL, Kopell N, Sigvardt KA. (2003). Modeling facilitation and inhibition of competing motor programs in basal ganglia subthalamic nucleus-pallidal circuits. Proceedings of the National Academy of Sciences of the United States of America. 100 [PubMed]

Schaefer AT, Larkum ME, Sakmann B, Roth A. (2003). Coincidence detection in pyramidal neurons is tuned by their dendritic branching pattern. Journal of neurophysiology. 89 [PubMed]

• Pyramidal neuron coincidence detection tuned by dendritic branching pattern (Schaefer et al 2003) [Model]

Terman D, Rubin JE, Yew AC, Wilson CJ. (2002). Activity patterns in a model for the subthalamopallidal network of the basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

• Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007) [Model]
• Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002) [Model]

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]

Traub RD et al. (2001). Gap junctions between interneuron dendrites can enhance synchrony of gamma oscillations in distributed networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

Traub RD, Wong RK, Miles R, Michelson H. (1991). A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances. Journal of neurophysiology. 66 [PubMed]

• CA3 hippocampal pyramidal neuron with voltage-clamp intrinsic conductance data (Traub et al 1991) [Model]

VanRullen R, Guyonneau R, Thorpe SJ. (2005). Spike times make sense. Trends in neurosciences. 28 [PubMed]

Vanier MC, Bower JM. (1999). A comparative survey of automated parameter-search methods for compartmental neural models. Journal of computational neuroscience. 7 [PubMed]

Ward LM. (2003). Synchronous neural oscillations and cognitive processes. Trends in cognitive sciences. 7 [PubMed]

Weaver CM, Wearne SL. (2008). Neuronal firing sensitivity to morphologic and active membrane parameters. PLoS computational biology. 4 [PubMed]

Wilson M, Bower JM. (1992). Cortical oscillations and temporal interactions in a computer simulation of piriform cortex. Journal of neurophysiology. 67 [PubMed]

• Simulations of oscillations in piriform cortex (Wilson & Bower 1992) [Model]

Allen JM, Elbasiouny SM. (2018). The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors. Journal of neural engineering. 15 [PubMed]

Alturki A, Feng F, Nair A, Guntu V, Nair SS. (2016). Distinct current modules shape cellular dynamics in model neurons. Neuroscience. 334 [PubMed]

• Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016) [Model]

Balbi P, Martinoia S, Massobrio P. (2015). Axon-somatic back-propagation in detailed models of spinal alpha motoneurons. Frontiers in computational neuroscience. 9 [PubMed]

• Axon-somatic back-propagation in a detailed model of cat spinal motoneuron (Balbi et al, 2015) [Model]

Brown SA, Moraru II, Schaff JC, Loew LM. (2011). Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling. Journal of computational neuroscience. 31 [PubMed]

• A simplified cerebellar Purkinje neuron (the PPR model) (Brown et al. 2011) [Model]

Günay C et al. (2015). Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. PLoS computational biology. 11 [PubMed]

• Drosophila 3rd instar larval aCC motoneuron (Gunay et al. 2015) [Model]

Hay E, Schürmann F, Markram H, Segev I. (2013). Preserving axosomatic spiking features despite diverse dendritic morphology. Journal of neurophysiology. 109 [PubMed]

• Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013) [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]

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]

Kim H. (2017). Impact of the localization of dendritic calcium persistent inward current on the input-output properties of spinal motoneuron pool: a computational study. Journal of applied physiology (Bethesda, Md. : 1985). 123 [PubMed]

• Locational influence of dendritic PIC on input-output properties of spinal motoneurons (Kim 2017) [Model]

Kim H, Jones KE, Heckman CJ. (2014). Asymmetry in signal propagation between the soma and dendrites plays a key role in determining dendritic excitability in motoneurons. PloS one. 9 [PubMed]

• Locational influence of dendritic PIC on input-output properties of spinal motoneurons (Kim 2017) [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]

Marasco A, Limongiello A, Migliore M. (2012). Fast and accurate low-dimensional reduction of biophysically detailed neuron models. Scientific reports. 2 [PubMed]

• Ca1 pyramidal neuron: reduction model (Marasco et al. 2012) [Model]

Marasco A, Limongiello A, Migliore M. (2013). Using Strahler's analysis to reduce up to 200-fold the run time of realistic neuron models. Scientific reports. 3 [PubMed]

• Using Strahler's analysis to reduce realistic models (Marasco et al, 2013) [Model]

Moustafa M, Mousa MH, Saad MS, Basha T, Elbasiouny SM. (2023). Bifurcation analysis of motoneuronal excitability mechanisms under normal and ALS conditions Frontiers in cellular neuroscience. 17 [PubMed]

• Relating anatomical and biophysical properties to motoneuron excitabilty (Moustafa et al. 2023) [Model]

Mäki-Marttunen T et al. (2018). A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells. Journal of neuroscience methods. 293 [PubMed]

• Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) [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]

Sætra MJ, Einevoll GT, Halnes G. (2021). An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain PLoS computational biology. 17 [PubMed]

• The electrodiffusive neuron-extracellular-glia (edNEG) model (Sætra et al. 2021) [Model]