Czanner G, Grün S, Iyengar S. (2005). Theory of the snowflake plot and its relations to higher-order analysis methods. Neural computation. 17 [PubMed]
Câteau H, Reyes AD. (2006). Relation between single neuron and population spiking statistics and effects on network activity. Physical review letters. 96 [PubMed]
Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]
Durstewitz D, Gabriel T. (2007). Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]
Hamaguchi K, Okada M, Aihara K. (2007). Variable timescales of repeated spike patterns in synfire chain with Mexican-hat connectivity. Neural computation. 19 [PubMed]
Hamaguchi K, Okada M, Yamana M, Aihara K. (2005). Correlated firing in a feedforward network with Mexican-hat-type connectivity. Neural computation. 17 [PubMed]
Hosaka R, Araki O, Ikeguchi T. (2008). STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns. Neural computation. 20 [PubMed]
Jeong HY, Gutkin B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural computation. 19 [PubMed]
Krichmar JL, Nasuto SJ, Scorcioni R, Washington SD, Ascoli GA. (2002). Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain research. 941 [PubMed]
Maass W, Natschlager T. (1997). Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding Network: Computation In Neural Systems. 8
Matsubara T, Torikai H. (2016). An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. IEEE transactions on neural networks and learning systems. 27 [PubMed]
Montemurro MA et al. (2007). Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus. Journal of neurophysiology. 98 [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]
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]
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 computation. 17 [PubMed]
Rudolph M, Destexhe A. (2003). Tuning neocortical pyramidal neurons between integrators and coincidence detectors. Journal of computational neuroscience. 14 [PubMed]
Schneider G, Havenith MN, Nikolić D. (2006). Spatiotemporal structure in large neuronal networks detected from cross-correlation. Neural computation. 18 [PubMed]
Tang AC, Bartels AM, Sejnowski TJ. (1997). Effects of cholinergic modulation on responses of neocortical neurons to fluctuating input. Cerebral cortex (New York, N.Y. : 1991). 7 [PubMed]
Tang AC, Bartels AM, Wolfe J. (1999). Cholinergic modulation of spike timing and spike rate Neurocomputing. 26-27
Tripp B, Eliasmith C. (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]
Wennekers T, Ay N. (2005). Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural computation. 17 [PubMed]
Yang CR, Seamans JK, Gorelova N. (1999). Developing a neuronal model for the pathophysiology of schizophrenia based on the nature of electrophysiological actions of dopamine in the prefrontal cortex. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 21 [PubMed]