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Bezzi M, Diamond ME, Treves A (2002) Redundancy and synergy arising from pairwise correlations in neuronal ensembles. J Comput Neurosci 12:165-74 [PubMed] Fellous JM, Rudolph M, Destexhe A, Sejnowski TJ (2003) Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity. Neuroscience 122:811-29 [PubMed] Jolivet R, Gerstner W (2004) Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. J Physiol Paris 98:442-51 [Journal] [PubMed] Jolivet R, Rauch A, Lüscher HR, Gerstner W (2006) Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci 21:35-49 [Journal] [PubMed]
Lestienne R (2001) Spike timing, synchronization and information processing on the sensory side of the central nervous system. Prog Neurobiol 65:545-91 [PubMed] Montemurro MA, Panzeri S, Maravall M, Alenda A, Bale MR, Brambilla M, Petersen RS (2007) Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus. J Neurophysiol 98:1871-82 [Journal] [PubMed] Montemurro MA, Senatore R, Panzeri S (2007) Tight data-robust bounds to mutual information combining shuffling and model selection techniques. Neural Comput 19:2913-57 [Journal] [PubMed] Nakahara H, Amari S, Richmond BJ (2006) A comparison of descriptive models of a single spike train by information-geometric measure. Neural Comput 18:545-68 [Journal] [PubMed] Pola G, Petersen RS, Thiele A, Young MP, Panzeri S (2005) Data-robust tight lower bounds to the information carried by spike times of a neuronal population. Neural Comput 17:1962-2005 [Journal] [PubMed] Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ (2007) Estimating information rates with confidence intervals in neural spike trains. Neural Comput 19:1683-719 [Journal] [PubMed] |