Buracas GT, Zador AM, DeWeese MR, Albright TD. (1998). Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron. 20 [PubMed]

See more from authors: Buracas GT · Zador AM · DeWeese MR · Albright TD

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

Azouz R. (2005). Dynamic spatiotemporal synaptic integration in cortical neurons: neuronal gain, revisited. Journal of neurophysiology. 94 [PubMed]

Azouz R, Gray CM. (2000). Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo. Proceedings of the National Academy of Sciences of the United States of America. 97 [PubMed]

Brette R, Guigon E. (2003). Reliability of spike timing is a general property of spiking model neurons. Neural computation. 15 [PubMed]

Chacron MJ, Longtin A, Maler L. (2004). To burst or not to burst? Journal of computational neuroscience. 17 [PubMed]

Delorme A. (2003). Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies Journal of computational neuroscience. 15 [PubMed]

Eger M, Eckhorn R. (2002). Assessing the encoding of stimulus attributes with rapid sequences of stimulus events. Journal of computational neuroscience. 13 [PubMed]

Eger M, Eckhorn R. (2002). A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems. Journal of computational neuroscience. 12 [PubMed]

Gilson M, Masquelier T, Hugues E. (2011). STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS computational biology. 7 [PubMed]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

Kennel MB, Shlens J, Abarbanel HD, Chichilnisky EJ. (2005). Estimating entropy rates with Bayesian confidence intervals. Neural computation. 17 [PubMed]

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]

Montemurro MA, Senatore R, Panzeri S. (2007). Tight data-robust bounds to mutual information combining shuffling and model selection techniques. Neural computation. 19 [PubMed]

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

Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ. (2007). Estimating information rates with confidence intervals in neural spike trains. Neural computation. 19 [PubMed]

Singh C, Levy WB. (2017). A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PloS one. 12 [PubMed]

Talathi SS, Abarbanel HD, Ditto WL. (2008). Temporal spike pattern learning. Physical review. E, Statistical, nonlinear, and soft matter physics. 78 [PubMed]

Tiesinga PH, Fellous JM, José JV, Sejnowski TJ. (2002). Information transfer in entrained cortical neurons. Network (Bristol, England). 13 [PubMed]

Tiesinga PH, Toups JV. (2005). The possible role of spike patterns in cortical information processing. Journal of computational neuroscience. 18 [PubMed]

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