Tomov P, Pena RF, Zaks MA, Roque AC. (2014). Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in computational neuroscience. 8 [PubMed]

See more from authors: Tomov P · Pena RF · Zaks MA · Roque AC

References and models cited by this paper

Abbott LF, Dayan P. (2001). Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems.

Amit DJ, Brunel N. (1997). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral cortex (New York, N.Y. : 1991). 7 [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]

Banerjee A, Seriès P, Pouget A. (2008). Dynamical constraints on using precise spike timing to compute in recurrent cortical networks. Neural computation. 20 [PubMed]

Bastos AM et al. (2012). Canonical microcircuits for predictive coding. Neuron. 76 [PubMed]

Binzegger T, Douglas RJ, Martin KA. (2004). A quantitative map of the circuit of cat primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Bringuier V, Chavane F, Glaeser L, Frégnac Y. (1999). Horizontal propagation of visual activity in the synaptic integration field of area 17 neurons. Science (New York, N.Y.). 283 [PubMed]

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]

Buzsáki G, Draguhn A. (2004). Neuronal oscillations in cortical networks. Science (New York, N.Y.). 304 [PubMed]

Connors BW, Gutnick MJ, Prince DA. (1982). Electrophysiological properties of neocortical neurons in vitro. Journal of neurophysiology. 48 [PubMed]

Contreras D. (2004). Electrophysiological classes of neocortical neurons. Neural networks : the official journal of the International Neural Network Society. 17 [PubMed]

Crutchfield JP, Kaneko K. (1988). Are attractors relevant to turbulence? Physical review letters. 60 [PubMed]

Deco G, Jirsa V, McIntosh AR, Sporns O, Kötter R. (2009). Key role of coupling, delay, and noise in resting brain fluctuations. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

Deco G, Jirsa VK, McIntosh AR. (2011). Emerging concepts for the dynamical organization of resting-state activity in the brain. Nature reviews. Neuroscience. 12 [PubMed]

Destexhe A. (2009). Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. Journal of computational neuroscience. 27 [PubMed]

Destexhe A. (2011). Intracellular and computational evidence for a dominant role of internal network activity in cortical computations. Current opinion in neurobiology. 21 [PubMed]

Douglas RJ, Martin KA. (2004). Neuronal circuits of the neocortex. Annual review of neuroscience. 27 [PubMed]

El Boustani S, Destexhe A. (2009). A master equation formalism for macroscopic modeling of asynchronous irregular activity states. Neural computation. 21 [PubMed]

Fox MD, Raichle ME. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature reviews. Neuroscience. 8 [PubMed]

Freeman WJ, Skarda CH. (1987). How brains make chaos in order to make sense of the world Behav Brain Sci. 10

Garcia GC, Lesne A, Hütt MT, Hilgetag CC. (2012). Building blocks of self-sustained activity in a simple deterministic model of excitable neural networks. Frontiers in computational neuroscience. 6 [PubMed]

Gong P, van Leeuwen C. (2009). Distributed dynamical computation in neural circuits with propagating coherent activity patterns. PLoS computational biology. 5 [PubMed]

Hahn G et al. (2010). Neuronal avalanches in spontaneous activity in vivo. Journal of neurophysiology. 104 [PubMed]

Haider B, Häusser M, Carandini M. (2013). Inhibition dominates sensory responses in the awake cortex. Nature. 493 [PubMed]

Hilgetag CC, Burns GA, O'Neill MA, Scannell JW, Young MP. (2000). Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 355 [PubMed]

Hromádka T, Deweese MR, Zador AM. (2008). Sparse representation of sounds in the unanesthetized auditory cortex. PLoS biology. 6 [PubMed]

Izhikevich EM. (2003). Simple model of spiking neurons. IEEE transactions on neural networks. 14 [PubMed]

Izhikevich EM. (2004). Which model to use for cortical spiking neurons? IEEE transactions on neural networks. 15 [PubMed]

Izhikevich EM, Edelman GM. (2008). Large-scale model of mammalian thalamocortical systems. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

Kaiser M, Hilgetag CC. (2010). Optimal hierarchical modular topologies for producing limited sustained activation of neural networks. Frontiers in neuroinformatics. 4 [PubMed]

Koch C, Gabbiani F. (1998). Principles of spike train analysis Methods In Neuronal Modeling: From Ions To Networks.

Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]

Lai Y.-C, Tél T. (2011). Transient Chaos: Complex Dynamics on Finite Time Scales. Applied Mathematical Sciences, Applied Mathematical Sciences. 173

Lakatos P, Karmos G, Mehta AD, Ulbert I, Schroeder CE. (2008). Entrainment of neuronal oscillations as a mechanism of attentional selection. Science (New York, N.Y.). 320 [PubMed]

Lewis CM, Baldassarre A, Committeri G, Romani GL, Corbetta M. (2009). Learning sculpts the spontaneous activity of the resting human brain. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

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

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]

Luczak A, Barthó P, Harris KD. (2009). Spontaneous events outline the realm of possible sensory responses in neocortical populations. Neuron. 62 [PubMed]

Maimon G, Assad JA. (2009). Beyond Poisson: increased spike-time regularity across primate parietal cortex. Neuron. 62 [PubMed]

McCormick DA, Connors BW, Lighthall JW, Prince DA. (1985). Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. Journal of neurophysiology. 54 [PubMed]

Meunier D, Lambiotte R, Bullmore ET. (2010). Modular and hierarchically modular organization of brain networks. Frontiers in neuroscience. 4 [PubMed]

Nowak LG, Azouz R, Sanchez-Vives MV, Gray CM, McCormick DA. (2003). Electrophysiological classes of cat primary visual cortical neurons in vivo as revealed by quantitative analyses. Journal of neurophysiology. 89 [PubMed]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

Rabinovich M. I., Varona P.. (2012). Transient brain dynamics Principles Of Brain Dynamics: Global State Interactions.

Roopun AK et al. (2008). Temporal Interactions between Cortical Rhythms. Frontiers in neuroscience. 2 [PubMed]

Sadaghiani S, Hesselmann G, Friston KJ, Kleinschmidt A. (2010). The relation of ongoing brain activity, evoked neural responses, and cognition. Frontiers in systems neuroscience. 4 [PubMed]

Sadovsky AJ, MacLean JN. (2013). Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Samu D, Seth AK, Nowotny T. (2014). Influence of wiring cost on the large-scale architecture of human cortical connectivity. PLoS computational biology. 10 [PubMed]

Shmuel A, Leopold DA. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest. Human brain mapping. 29 [PubMed]

Softky WR, Koch C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 13 [PubMed]

Steinke GK, Galán RF. (2011). Brain rhythms reveal a hierarchical network organization. PLoS computational biology. 7 [PubMed]

Stratton P, Wiles J. (2010). Self-sustained non-periodic activity in networks of spiking neurons: the contribution of local and long-range connections and dynamic synapses. NeuroImage. 52 [PubMed]

Tsodyks M, Kenet T, Grinvald A, Arieli A. (1999). Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science (New York, N.Y.). 286 [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]

Wang SJ, Hilgetag CC, Zhou C. (2011). Sustained activity in hierarchical modular neural networks: self-organized criticality and oscillations. Frontiers in computational neuroscience. 5 [PubMed]

Yamauchi S, Kim H, Shinomoto S. (2011). Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times. Frontiers in computational neuroscience. 5 [PubMed]

Zhou C, Zemanová L, Zamora G, Hilgetag CC, Kurths J. (2006). Hierarchical organization unveiled by functional connectivity in complex brain networks. Physical review letters. 97 [PubMed]

van Vreeswijk C, Sompolinsky H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, N.Y.). 274 [PubMed]

van Vreeswijk C, Sompolinsky H. (1998). Chaotic balanced state in a model of cortical circuits. Neural computation. 10 [PubMed]

References and models that cite this paper

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

Shimoura RO et al. (2018). [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model The ReScience Journal. 4(1)

Tomov P, Pena RF, Roque AC, Zaks MA. (2016). Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types. Frontiers in computational neuroscience. 10 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.