[1] | Steriade M, Nunez A, Amzica F (1993) A novel slow (<1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. J Neurosci 13: 3252–3265.
|
[2] | Cowan R, Wilson C (1994) Spontaneous firing patterns and axonal projections of single corticostriatal neurons in the rat medial agranular cortex. J Neurophysiol 71: 17–32.
|
[3] | Sanchez-Vives MV, McCormick DA (2000) Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nat Neurosci 3: 1027–1034.
|
[4] | Shu Y, Hausenstaub A, McCormick DA (2003) Turning on and off recurrent balanced cortical activity. Nature 423: 288–293.
|
[5] | Haider B, Duque A, Hasenstaub AR, McCormick DA (2006) Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition. J Neurosci 26: 4535–4545.
|
[6] | Anderson J, Lampl I, Reichova I, Carandini M, Ferster D (2000) Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex. Nat Neurosci 3: 617–621.
|
[7] | Petersen C, Hahn T, Mehta M, Grinvald A, Sakmann B (2003) Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex. Proc Natl Acad Sci U S A 100: 13638–13643.
|
[8] | Haider B, Duque A, Hasenstaub AR, Yu Y, McCormick DA (2007) Enhancement of visual responsiveness by spontaneous local network activity in vivo. J Neurophysiol 97: 4186–4202.
|
[9] | Curto C, Sakata S, Marguet S, Itskov V, Harris KD (2009) A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex. J Neurosci 29: 10600–10612.
|
[10] | Stickgold R (2005) Sleep-dependent memory consolidation. Nature 437: 1272–1278.
|
[11] | Marshall L, Helgadottir H, Molle M, Born J (2006) Boosting slow oscillations during sleep potentiates memory. Nature 444: 610–613.
|
[12] | Hahn TT, Sakmann B, Mehta MR (2006) Phase-locking of hippocampal interneurons' membrane potential to neocortical up-down states. Nat Neurosci 9: 1359–1361.
|
[13] | Wolansky T, Clement E, Peters S, Palczak M, Dickson C (2006) Hippocampal slow oscillation: a novel EEG state and its coordination with ongoing neocortical activity. J Neurosci 26: 6213–6229.
|
[14] | Isomura Y, Sirota A, Ozen S, Montgomery S, Mizuseki K, et al. (2006) Integration and segregation of activity in entorhinal-hippocampal subregions by neocortical slow oscillations. Neuron 52: 871–882.
|
[15] | Contreras D, Steriade M (1995) Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships. J Neurosci 15: 604–622.
|
[16] | Molle M, Marshall L, Gais S, Born J (2002) Grouping of spindle activity during slow oscillations in human non-rapid eye movement sleep. J Neurosci 22: 10941–10947.
|
[17] | Battaglia FP, Sutherland GR, McNaughton BL (2004) Hippocampal sharp wave bursts coincide with neocortical “up-state” transitions. Learn Mem 11: 697–704.
|
[18] | Molle M, Yeshenko O, Marshall L, Sara SJ, Born J (2006) Hippocampal sharp wave-ripples linked to slow oscillations in rat slow-wave sleep. J Neurophysiol 96: 62–70.
|
[19] | Luczak A, Bartho P, Marguet SL, Buzsaki G, Harris KD (2007) Sequential structure of neocortical spontaneous activity in vivo. Proc Natl Acad Sci U S A 104: 347–352.
|
[20] | Ji D, Wilson MA (2007) Coordinated memory replay in the visual cortex and hippocampus during sleep. Nat Neurosci 10: 100–107.
|
[21] | Chen Z, Vijayan S, Barbieri R, Wilson MA, Brown EN (2009) Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states. Neural Comput 21: 1797–1862.
|
[22] | Tokdar S, Xi P, Kelly RC, Kass RE (2010) Detection of bursts in extracellular spike trains using hidden semi-Markov point process models. J Comput Neurosci 29: 203–212.
|
[23] | Sanchez-Vives MV, Mattia M, Compte A, Perez-Zabalza M, Winograd M, et al. (2010) Inhibitory modulation of cortical up states. J Neurophysiol 104: 1314–1324.
|
[24] | Hahn TT, Sakmann B, Mehta MR (2007) Differential responses of hippocampal subfields to cortical up-down states. Proc Natl Acad Sci U S A 104: 5169–5174.
|
[25] | Mukovski M, Chauvette S, Timofeev I, Volgushev M (2007) Detection of active and silent states in neocortical neurons from the field potential signal during slow-wave sleep. Cereb Cortex 17: 400–414.
|
[26] | Saleem AB, Chadderton P, Apergis-Schoute J, Harris KD, Schultz SR (2010) Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials. J Comput Neurosci 29: 49–62.
|
[27] | Seamari Y, Narvaez JA, Vico FJ, Lobo D, Sanchez-Vives MV (2007) Robust off- and online separation of intracellularly recorded up and down cortical states. PLoS One 2: e888.
|
[28] | Gerkin RC, Clem RL, Shruti S, Kass RE, Barth AL (2010) Cortical up state activity is enhanced after seizures: a quantitative analysis. J Clin Neurophysiol 27: 425–432.
|
[29] | Margrie T, Brecht M, Sakmann B (2002) In vivo, low-resistance, whole-cell recordings from neurons in the anaesthetized and awake mammalian brain. Pflügers Arch 444: 491–498.
|
[30] | Baum L, Petrie T (1966) Statistical for probabilistic functions of finite state Markov chains. Ann Math Stat 37: 1554–1563.
|
[31] | Rabiner LR (1989) A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 77: 257–286.
|
[32] | Baum L (1970) A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Annals of Mathematical Statistics 41: 164–171.
|
[33] | Bishop CM (2006) Pattern Recognition and Machine Learning. Springer.
|
[34] | Ferguson JD (1980) Variable duration models for speech. Symposium on the Application of Hidden Markov Models to Text and Speech 143–179.
|
[35] | Levinson S (1986) Continuosly variable duration hidden Markov models for automatic speech recognition. Computer Speech and Language 1: 29–45.
|
[36] | Yu S-Z (2010) Hidden semi-Markov models. Artificial Intelligence 174: 215–243.
|
[37] | Yu S-Z, Kobayashi H (2003) An efficient forward-backward algorithm for an explicit-duration hidden Markov model. IEEE Signal Processing Letters 10: 11–14.
|
[38] | Yu S-Z, Kobayashi H (2006) Practical implementation of an efficient forward-backward algorithm for an explicit-duration hidden Markov model. IEEE Transactions on Signal Processing 54: 1947–1951.
|
[39] | Mitchell C, Jamieson L (1993) Modeling duration in a hidden Markov model with the exponential family. IEEE International Conference on Acoustics, Speech, and Signal Processing 11331–11334.
|
[40] | Mitchell C, Harper M, Jamieson L (1995) On the complexity of explicit duration HMMs. IEEE Transactions on Speech and Audio Processing 3: 213–217.
|
[41] | Datta R, Hu J, Ray B (2008) On efficient Viterbi decoding for hidden semi-Markov models. 19th International Conference on Pattern Recognition 1–4.
|
[42] | Steriade M (2000) Corticothalamic resonance, states of vigilance and mentation. Neuroscience 101: 243–276.
|
[43] | Kasanetz F, Riquelme L, Murer M (2002) Disruption of the two-state membrane potential of striatal neurons during cortical desynchronisation in anaesthetized rats. J Physiology 532: 577–589.
|
[44] | Clement EA, Richard A, Thwaites M, Ailon J, Peters S, et al. (2008) Cyclic and sleep-like spontaneous alternations of brain state under urethane anaesthesia. PLoS One 3: e2004.
|
[45] | Terrell G (1990) The maximal smoothing principle in density estimation. J Amer Statist Assoc 85: 470–477.
|
[46] | Choi S, Wette R (1969) Maximum likelihood estimation of the parameters of the gamma distribution and their bias. Technometrics 11: 683–690.
|
[47] | Bhattacharyya A (1943) On a measure of divergence between two statistical populations defined by probability distributions. Bull Calcutta Math Soc 35: 99–109.
|
[48] | Kailath T (1967) The divergence and Bhattacharyya distance measures in signal selection. IEEE Transactions on Communication Technology 15: 52–60.
|
[49] | Bokil H, Andrews P, Kulkarni JE, Mehta S, Mitra PP (2010) Chronux: a platform for analyzing neural signals. J Neurosci Methods 192: 146–151.
|
[50] | Thomson DJ (1982) Spectrum estimation and harmonic analysis. Proceedings of the IEEE 70: 1055–1096.
|
[51] | Ephraim Y, Malah D, Juang B-H (1989) On the application of hidden Markov models for enhancing noisy speech. IEEE Transactions on Acoustics Speech and Signal Processing 37: 1846–1856.
|
[52] | Volgushev M, Chauvette S, Mukovski M, Timofeev I (2006) Precise long-range synchronization of activity and silence in neocortical neurons during slow-wave oscillations [corrected]. J Neurosci 26: 5665–5672.
|