Rudolph-Lilith M, Dubois M, Destexhe A. (2012). Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies. Neural computation. 24 [PubMed]

See more from authors: Rudolph-Lilith M · Dubois M · Destexhe A

References and models cited by this paper
References and models that cite this paper

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

Beim Graben P, Rodrigues S. (2012). A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons. Frontiers in computational neuroscience. 6 [PubMed]

Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]

Susi G et al. (2021). FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency Scientific reports. 11 [PubMed]

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