Abeles M. (1982). Role of the cortical neuron: integrator or coincidence detector? Israel journal of medical sciences. 18 [PubMed]
Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..
Abeles M, Bergman H, Margalit E, Vaadia E. (1993). Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. Journal of neurophysiology. 70 [PubMed]
Arieli A, Shoham D, Hildesheim R, Grinvald A. (1995). Coherent spatiotemporal patterns of ongoing activity revealed by real-time optical imaging coupled with single-unit recording in the cat visual cortex. Journal of neurophysiology. 73 [PubMed]
Arieli A, Sterkin A, Grinvald A, Aertsen A. (1996). Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science (New York, N.Y.). 273 [PubMed]
Arnoldi HM, Brauer W. (1996). Synchronization without oscillatory neurons. Biological cybernetics. 74 [PubMed]
Bienenstock E. (1995). A model of nerocortex Comput Neural Syst. 6
Braitenberg V, Schuz A. (1991). Anatomy of the Cortex: Statistics and Geometry.
Calvin WH, Stevens CF. (1968). Synaptic noise and other sources of randomness in motoneuron interspike intervals. Journal of neurophysiology. 31 [PubMed]
Diesmann M. (1997). Cortical synfire activity—a two dimensional state space analysis From Membrane to Mind: Proceedings of the 25th Gottinger Neurobiology.
Diesmann M, Aertsen A, Gewaltig MO. (1995). SYNOD: An environment forneural systems simulations: Language interface and tutorial Tel Aviv:Weizmann Institute of Science.
Diesmann M, Aertsen A, Gewaltig MO. (1996). Computational Neuroscience: Trends In Research.
Fetz EE, Toyama K, Smith WS. (1991). Synaptic interactions between cortical neurons Cerebral Cortex. 9
GERSTEIN GL, MANDELBROT B. (1964). RANDOM WALK MODELS FOR THE SPIKE ACTIVITY OF A SINGLE NEURON. Biophysical journal. 4 [PubMed]
GRIFFITH JS. (1963). On the stability of brain-like structures. Biophysical journal. 3 [PubMed]
Herrmann M, Prugel-bennett A, Hertz J. (1995). Analysis of synfire chains Computation In Neural Systems. 6
Hopfield JJ. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences of the United States of America. 79 [PubMed]
Koch C, Bernander O, Usher M. (1994). The effects of synchronized inputs at the single neuron level. Neural Comput. 6
König P, Engel AK, Singer W. (1996). Integrator or coincidence detector? The role of the cortical neuron revisited. Trends in neurosciences. 19 [PubMed]
Mainen ZF, Sejnowski TJ. (1995). Reliability of spike timing in neocortical neurons. Science (New York, N.Y.). 268 [PubMed]
Marsálek P, Koch C, Maunsell J. (1997). On the relationship between synaptic input and spike output jitter in individual neurons. Proceedings of the National Academy of Sciences of the United States of America. 94 [PubMed]
Murthy VN, Fetz EE. (1994). Effects of input synchrony on the firing rate of a three-conductance cortical neuron model. Neural Comput. 6
Nowak LG, Sanchez-Vives MV, McCormick DA. (1997). Influence of low and high frequency inputs on spike timing in visual cortical neurons. Cerebral cortex (New York, N.Y. : 1991). 7 [PubMed]
Perkel DH, Gerstein GL, Moore GP. (1967). Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophysical journal. 7 [PubMed]
Prut Y et al. (1998). Spatiotemporal structure of cortical activity: properties and behavioral relevance. Journal of neurophysiology. 79 [PubMed]
Riehle A, Grün S, Diesmann M, Aertsen A. (1997). Spike synchronization and rate modulation differentially involved in motor cortical function. Science (New York, N.Y.). 278 [PubMed]
Shadlen MN, Newsome WT. (1994). Noise, neural codes and cortical organization. Current opinion in neurobiology. 4 [PubMed]
Shadlen MN, Newsome WT. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]
Tuckwell HC. (1988). Introduction To Theoretical Neurobiology: Vol 1, Linear Cable Theory And Dendritic Structure. 1
van Vreeswijk C, Sompolinsky H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, N.Y.). 274 [PubMed]
Abeles M, Hayon G, Lehmann D. (2004). Modeling compositionality by dynamic binding of synfire chains. Journal of computational neuroscience. 17 [PubMed]
Amari S, Nakahara H. (2005). Difficulty of singularity in population coding. Neural computation. 17 [PubMed]
Aoki T, Aoyagi T. (2007). Synchrony-induced switching behavior of spike pattern attractors created by spike-timing-dependent plasticity. Neural computation. 19 [PubMed]
Aviel Y, Horn D, Abeles M. (2005). Memory capacity of balanced networks. Neural computation. 17 [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]
Ben-Shalom R et al. (2022). NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs Journal of neuroscience methods. 366 [PubMed]
Câteau H, Reyes AD. (2006). Relation between single neuron and population spiking statistics and effects on network activity. Physical review letters. 96 [PubMed]
Dayhoff JE. (2007). Computational properties of networks of synchronous groups of spiking neurons. Neural computation. 19 [PubMed]
Destexhe A, Rudolph M, Paré D. (2003). The high-conductance state of neocortical neurons in vivo. Nature reviews. Neuroscience. 4 [PubMed]
Gandolfi D et al. (2022). A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits Scientific reports. 12 [PubMed]
Gutkin BS, Laing CR, Colby CL, Chow CC, Ermentrout GB. (2001). Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity. Journal of computational neuroscience. 11 [PubMed]
Günay C, Maida AS. (2003). Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural networks : the official journal of the International Neural Network Society. 16 [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]
Hayon G, Abeles M, Lehmann D. (2005). A model for representing the dynamics of a system of synfire chains. Journal of computational neuroscience. 18 [PubMed]
Hosaka R, Araki O, Ikeguchi T. (2008). STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns. Neural computation. 20 [PubMed]
Izhikevich EM. (2006). Polychronization: computation with spikes. Neural computation. 18 [PubMed]
Jaeger D. (2003). No Parallel Fiber Volleys in the Cerebellar Cortex: Evidence from Cross-Correlation Analysis between Purkinje Cells in a Computer Model and in Recordings from Anesthetized Rats Journal of computational neuroscience. 14 [PubMed]
Jaeger D et al. (2017). Robust Transmission of Rate Coding in the Inhibitory Purkinje Cell to Cerebellar Nuclei Pathway in Awake Mice PLOS Computational Biology.
Jin DZ, Ramazanoğlu FM, Seung HS. (2007). Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC. Journal of computational neuroscience. 23 [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]
Jun JK, Jin DZ. (2007). Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity. PloS one. 2 [PubMed]
Kaltenbrunner A, Gómez V, López V. (2007). Phase transition and hysteresis in an ensemble of stochastic spiking neurons. Neural computation. 19 [PubMed]
Khalil R, Moftah MZ, Moustafa AA. (2017). The effects of dynamical synapses on firing rate activity: a spiking neural network model. The European journal of neuroscience. 46 [PubMed]
Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]
Komarov M, Bazhenov M. (2016). Linking dynamics of the inhibitory network to the input structure. Journal of computational neuroscience. 41 [PubMed]
Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]
Leibold C, Kempter R. (2006). Memory capacity for sequences in a recurrent network with biological constraints. Neural computation. 18 [PubMed]
Litvak V, Sompolinsky H, Segev I, Abeles M. (2003). On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Masuda N. (2005). Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons Neural Comput. 18
Masuda N, Aihara K. (2003). Duality of rate coding and temporal coding in multilayered feedforward networks. Neural computation. 15 [PubMed]
Masuda N, Aihara K. (2004). Self-organizing dual coding based on spike-time-dependent plasticity. Neural computation. 16 [PubMed]
Masuda N, Doiron B, Longtin A, Aihara K. (2005). Coding of temporally varying signals in networks of spiking neurons with global delayed feedback. Neural computation. 17 [PubMed]
Masuda N, Kori H. (2007). Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity. Journal of computational neuroscience. 22 [PubMed]
Mikula S, Niebur E. (2005). Rate and synchrony in feedforward networks of coincidence detectors: analytical solution. Neural computation. 17 [PubMed]
Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M. (2005). Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural computation. 17 [PubMed]
Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]
Reed MC, Blum JJ, Mitchell CC. (2002). Precision of neural timing: effects of convergence and time-windowing. Journal of computational neuroscience. 13 [PubMed]
Rudolph M, Destexhe A. (2003). Tuning neocortical pyramidal neurons between integrators and coincidence detectors. Journal of computational neuroscience. 14 [PubMed]
Salinas E, Sejnowski TJ. (2001). Correlated neuronal activity and the flow of neural information. Nature reviews. Neuroscience. 2 [PubMed]
Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]
Schneider G, Havenith MN, Nikolić D. (2006). Spatiotemporal structure in large neuronal networks detected from cross-correlation. Neural computation. 18 [PubMed]
Spreizer S, Aertsen A, Kumar A. (2019). From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks. PLoS computational biology. 15 [PubMed]
Teramae JN, Fukai T. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of computational neuroscience. 22 [PubMed]
Tiesinga PH. (2005). Stimulus competition by inhibitory interference. Neural computation. 17 [PubMed]
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]
Van Rossum MC. (2001). The transient precision of integrate and fire neurons: effect of background activity and noise. Journal of computational neuroscience. 10 [PubMed]
Veredas FJ, Vico FJ, Alonso JM. (2005). Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. The Journal of physiology. 567 [PubMed]
Vogels TP, Abbott LF. (2005). Signal propagation and logic gating in networks of integrate-and-fire neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]