Banerjee A. (2006). On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons. Journal of computational neuroscience. 20 [PubMed]

Chance FS. (2007). Receiver operating characteristic (ROC) analysis for characterizing synaptic efficacy. Journal of neurophysiology. 97 [PubMed]

Deneve S. (2008). Bayesian spiking neurons I: inference. Neural computation. 20 [PubMed]

Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.

• Mathematics for Neuroscientists (Gabbiani and Cox 2010) [Model]

Jones PW, Gabbiani F. (2012). Impact of neural noise on a sensory-motor pathway signaling impending collision. Journal of neurophysiology. 107 [PubMed]

• LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B) [Model]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Kretzberg J, Egelhaaf M, Warzecha AK. (2001). Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study. Journal of computational neuroscience. 10 [PubMed]

Lerchner A et al. (2006). Response variability in balanced cortical networks. Neural computation. 18 [PubMed]

Lestienne R. (2001). Spike timing, synchronization and information processing on the sensory side of the central nervous system. Progress in neurobiology. 65 [PubMed]

Litwin-Kumar A, Doiron B. (2012). Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature neuroscience. 15 [PubMed]

• Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]

London M, Roth A, Beeren L, Häusser M, Latham PE. (2010). Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature. 466 [PubMed]

• Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010) [Model]

Nakahara H, Amari S, Richmond BJ. (2006). A comparison of descriptive models of a single spike train by information-geometric measure. Neural computation. 18 [PubMed]

Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]

Reeke GN, Coop AD. (2004). Estimating the temporal interval entropy of neuronal discharge. Neural computation. 16 [PubMed]

Rudolph M, Destexhe A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience. 119 [PubMed]

Shi L, Borst A. (2006). Propagation of photon noise and information transfer in visual motion detection. Journal of computational neuroscience. 20 [PubMed]

Shokhirev KN, Kumar T, Glaser DA. (2006). The influence of cortical feature maps on the encoding of the orientation of a short line. Journal of computational neuroscience. 20 [PubMed]