Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..

Aviel Y, Mehring C, Abeles M, Horn D. (2003). On embedding synfire chains in a balanced network. Neural computation. 15 [PubMed]

Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (1998). Computational models of thalamocortical augmenting responses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Thalamocortical augmenting response (Bazhenov et al 1998) [Model]

Cohen S, Hindmarsh A. (1994). Cvode user guide Tech Rep.

Destexhe A, Mainen ZF, Sejnowski TJ. (1994). Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. Journal of computational neuroscience. 1 [PubMed]

• Application of a common kinetic formalism for synaptic models (Destexhe et al 1994) [Model]
• Kinetic synaptic models applicable to building networks (Destexhe et al 1998) [Model]

Hindmarsh A, Serban R. (2002). User documentation for Cvodes, an ode solver with sensitivity analysis capabilities Tech Rep.

Hines ML, Carnevale NT. (2001). NEURON: a tool for neuroscientists. The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry. 7 [PubMed]

• Spatial gridding and temporal accuracy in NEURON (Hines and Carnevale 2001) [Model]

Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM. (2004). ModelDB: A Database to Support Computational Neuroscience. Journal of computational neuroscience. 17 [PubMed]

Jones D. (1986). An empirical comparison of priority-queue and event-setimplementations Comm Acm. 4

Lytton WW. (1996). Optimizing synaptic conductance calculation for network simulations. Neural computation. 8 [PubMed]

Makino T. (2003). A discrete-event neural network simulator for general neuron models Neural Comput App. 11

Mattia M, Del Giudice P. (2000). Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses. Neural computation. 12 [PubMed]

Sejnowski TJ, Destexhe A, Mainen Z. (1994). An efficient method for computing synaptic conductances based on a kinetic model of receptor binding Neural Comput. 6

• Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994) [Model]
• Application of a common kinetic formalism for synaptic models (Destexhe et al 1994) [Model]
• Kinetic synaptic models applicable to building networks (Destexhe et al 1998) [Model]

Sleator D, Tarjan R. (1983). Self adjusting binary trees Proc ACM SIGACT Symposium on Theory of Computing.

Traub RD, Whittington MA, Jefferys GR. (1999). Fast Oscillations In Cortical Circuits.

Victor JD, Purpura KP. (1996). Nature and precision of temporal coding in visual cortex: a metric-space analysis. Journal of neurophysiology. 76 [PubMed]

Wang XJ, Buzsáki G. (1996). Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

• Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996) [Model]

Watts L. (1994). Event-driven simulation of networks of spiking neurons Advances in Neural Information Processing Systems. 6

Brette R. (2006). Exact simulation of integrate-and-fire models with synaptic conductances. Neural computation. 18 [PubMed]

Brette R et al. (2007). Simulation of networks of spiking neurons: a review of tools and strategies. Journal of computational neuroscience. 23 [PubMed]

• Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Hines ML, Markram H, Schürmann F. (2008). Fully implicit parallel simulation of single neurons. Journal of computational neuroscience. 25 [PubMed]

• Fully Implicit Parallel Simulation of Single Neurons (Hines et al. 2008) [Model]

Huang S, Hong S, De Schutter E. (2015). Non-linear leak currents affect mammalian neuron physiology. Frontiers in cellular neuroscience. 9 [PubMed]

• Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015) [Model]

Lytton WW, Omurtag A, Neymotin SA, Hines ML. (2008). Just-in-time connectivity for large spiking networks. Neural computation. 20 [PubMed]

• JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008) [Model]

Lytton WW et al. (2016). Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural computation. 28 [PubMed]

• Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]

McDougal RA, Hines ML, Lytton WW. (2013). Reaction-diffusion in the NEURON simulator. Frontiers in neuroinformatics. 7 [PubMed]

• Reaction-diffusion in the NEURON simulator (McDougal et al 2013) [Model]

Migliore M, Cannia C, Lytton WW, Markram H, Hines ML. (2006). Parallel network simulations with NEURON. Journal of computational neuroscience. 21 [PubMed]

• Parallel network simulations with NEURON (Migliore et al 2006) [Model]

Morrison A, Straube S, Plesser HE, Diesmann M. (2007). Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. Neural computation. 19 [PubMed]

Rangan AV, Cai D. (2007). Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. Journal of computational neuroscience. 22 [PubMed]

Ros E, Carrillo R, Ortigosa EM, Barbour B, Agís R. (2006). Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics. Neural computation. 18 [PubMed]

Rudolph M, Destexhe A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural computation. 18 [PubMed]