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Volumn 18, Issue 9, 2014, Pages 480-487

Scale-free brain activity: Past, present, and future

Author keywords

Arrhythmic; Brain dynamics; Brain oscillations; Neural field potentials; Power law distribution; Scale invariance; Scale free brain activity

Indexed keywords

BRAIN; BRAIN MAPPING; ELECTROPHYSIOLOGY; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; POWER SPECTRUM;

EID: 84906786902     PISSN: 13646613     EISSN: 1879307X     Source Type: Journal    
DOI: 10.1016/j.tics.2014.04.003     Document Type: Review
Times cited : (487)

References (87)
  • 1
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky W.R., Koch C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 1993, 13:334-350.
    • (1993) J. Neurosci. , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 2
    • 0028324928 scopus 로고
    • Power spectrum analysis of bursting cells in area MT in the behaving monkey
    • Bair W., et al. Power spectrum analysis of bursting cells in area MT in the behaving monkey. J. Neurosci. 1994, 14:2870-2892.
    • (1994) J. Neurosci. , vol.14 , pp. 2870-2892
    • Bair, W.1
  • 3
    • 65549099674 scopus 로고    scopus 로고
    • Beyond Poisson: increased spike-time regularity across primate parietal cortex
    • Maimon G., Assad J.A. Beyond Poisson: increased spike-time regularity across primate parietal cortex. Neuron 2009, 62:426-440.
    • (2009) Neuron , vol.62 , pp. 426-440
    • Maimon, G.1    Assad, J.A.2
  • 4
    • 34250548621 scopus 로고
    • Uber das Elektroenkephalogramm des Menschen
    • Berger H. Uber das Elektroenkephalogramm des Menschen. Arch. Psyhiatr. Nervenkr. 1929, 87:527-570.
    • (1929) Arch. Psyhiatr. Nervenkr. , vol.87 , pp. 527-570
    • Berger, H.1
  • 5
    • 84887011307 scopus 로고    scopus 로고
    • Scaling brain size, keeping timing: evolutionary preservation of brain rhythms
    • Buzsaki G., et al. Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Neuron 2013, 80:751-764.
    • (2013) Neuron , vol.80 , pp. 751-764
    • Buzsaki, G.1
  • 6
    • 67650264268 scopus 로고    scopus 로고
    • Neuronal gamma-band synchronization as a fundamental process in cortical computation
    • Fries P. Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annu. Rev. Neurosci. 2009, 32:209-224.
    • (2009) Annu. Rev. Neurosci. , vol.32 , pp. 209-224
    • Fries, P.1
  • 7
    • 84859105572 scopus 로고    scopus 로고
    • An oscillatory mechanism for prioritizing salient unattended stimuli
    • Jensen O., et al. An oscillatory mechanism for prioritizing salient unattended stimuli. Trends Cogn. Sci. 2012, 16:200-206.
    • (2012) Trends Cogn. Sci. , vol.16 , pp. 200-206
    • Jensen, O.1
  • 8
    • 58149522325 scopus 로고    scopus 로고
    • Low-frequency neuronal oscillations as instruments of sensory selection
    • Schroeder C.E., Lakatos P. Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci. 2009, 32:9-18.
    • (2009) Trends Neurosci. , vol.32 , pp. 9-18
    • Schroeder, C.E.1    Lakatos, P.2
  • 9
    • 77952712225 scopus 로고    scopus 로고
    • The temporal structures and functional significance of scale-free brain activity
    • He B.J., et al. The temporal structures and functional significance of scale-free brain activity. Neuron 2010, 66:353-369.
    • (2010) Neuron , vol.66 , pp. 353-369
    • He, B.J.1
  • 10
    • 0141499222 scopus 로고    scopus 로고
    • The high-conductance state of neocortical neurons in vivo
    • Destexhe A., et al. The high-conductance state of neocortical neurons in vivo. Nat. Rev. Neurosci. 2003, 4:739-751.
    • (2003) Nat. Rev. Neurosci. , vol.4 , pp. 739-751
    • Destexhe, A.1
  • 11
    • 70349667213 scopus 로고    scopus 로고
    • Network-state modulation of power-law frequency-scaling in visual cortical neurons
    • El Boustani S., et al. Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput. Biol. 2009, 5:e1000519.
    • (2009) PLoS Comput. Biol. , vol.5
    • El Boustani, S.1
  • 12
    • 84929238274 scopus 로고    scopus 로고
    • Neuronal shot noise and Brownian 1/f2 behavior in the local field potential
    • Milstein J., et al. Neuronal shot noise and Brownian 1/f2 behavior in the local field potential. PLoS ONE 2009, 4:e4338.
    • (2009) PLoS ONE , vol.4
    • Milstein, J.1
  • 13
    • 74549197623 scopus 로고    scopus 로고
    • Power-law scaling in the brain surface electric potential
    • Miller K.J., et al. Power-law scaling in the brain surface electric potential. PLoS Comput. Biol. 2009, 5:e1000609.
    • (2009) PLoS Comput. Biol. , vol.5
    • Miller, K.J.1
  • 14
    • 70350525289 scopus 로고    scopus 로고
    • Broadband shifts in local field potential power spectra are correlated with single-neuron spiking in humans
    • Manning J.R., et al. Broadband shifts in local field potential power spectra are correlated with single-neuron spiking in humans. J. Neurosci. 2009, 29:13613-13620.
    • (2009) J. Neurosci. , vol.29 , pp. 13613-13620
    • Manning, J.R.1
  • 15
    • 67349253596 scopus 로고    scopus 로고
    • Simulated power spectral density (PSD) of background electrocorticogram (ECoG)
    • Freeman W.J., Zhai J. Simulated power spectral density (PSD) of background electrocorticogram (ECoG). Cogn. Neurodyn. 2009, 3:97-103.
    • (2009) Cogn. Neurodyn. , vol.3 , pp. 97-103
    • Freeman, W.J.1    Zhai, J.2
  • 16
    • 85027938510 scopus 로고    scopus 로고
    • Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media: EEG and MEG power spectra
    • Dehghani N., et al. Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media: EEG and MEG power spectra. J. Comput. Neurosci. 2010, 29:405-421.
    • (2010) J. Comput. Neurosci. , vol.29 , pp. 405-421
    • Dehghani, N.1
  • 17
    • 80053292350 scopus 로고    scopus 로고
    • Scale-free properties of the functional magnetic resonance imaging signal during rest and task
    • He B.J. Scale-free properties of the functional magnetic resonance imaging signal during rest and task. J. Neurosci. 2011, 31:13786-13795.
    • (2011) J. Neurosci. , vol.31 , pp. 13786-13795
    • He, B.J.1
  • 18
    • 0035140147 scopus 로고    scopus 로고
    • Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains
    • Bullmore E., et al. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum. Brain Mapp. 2001, 12:61-78.
    • (2001) Hum. Brain Mapp. , vol.12 , pp. 61-78
    • Bullmore, E.1
  • 19
    • 84866402527 scopus 로고    scopus 로고
    • Scale-free and multifractal time dynamics of fMRI signals during rest and task
    • Ciuciu P., et al. Scale-free and multifractal time dynamics of fMRI signals during rest and task. Front. Physiol. 2012, 3:186.
    • (2012) Front. Physiol. , vol.3 , pp. 186
    • Ciuciu, P.1
  • 20
    • 0035866052 scopus 로고    scopus 로고
    • Long-range temporal correlations and scaling behavior in human brain oscillations
    • Linkenkaer-Hansen K., et al. Long-range temporal correlations and scaling behavior in human brain oscillations. J. Neurosci. 2001, 21:1370-1377.
    • (2001) J. Neurosci. , vol.21 , pp. 1370-1377
    • Linkenkaer-Hansen, K.1
  • 21
    • 0030836508 scopus 로고    scopus 로고
    • Quantal neurotransmitter secretion rate exhibits fractal behavior
    • Lowen S.B., et al. Quantal neurotransmitter secretion rate exhibits fractal behavior. J. Neurosci. 1997, 17:5666-5677.
    • (1997) J. Neurosci. , vol.17 , pp. 5666-5677
    • Lowen, S.B.1
  • 22
    • 0034847401 scopus 로고    scopus 로고
    • Fractal features of dark, maintained, and driven neural discharges in the cat visual system
    • Lowen S.B., et al. Fractal features of dark, maintained, and driven neural discharges in the cat visual system. Methods 2001, 24:377-394.
    • (2001) Methods , vol.24 , pp. 377-394
    • Lowen, S.B.1
  • 23
    • 0033963282 scopus 로고    scopus 로고
    • Statistics of transmitter release at nerve terminals
    • Bennett M.R., Kearns J.L. Statistics of transmitter release at nerve terminals. Prog. Neurobiol. 2000, 60:545-606.
    • (2000) Prog. Neurobiol. , vol.60 , pp. 545-606
    • Bennett, M.R.1    Kearns, J.L.2
  • 24
    • 0035234508 scopus 로고    scopus 로고
    • Cognitive emissions of 1/f noise
    • Gilden D.L. Cognitive emissions of 1/f noise. Psychol. Rev. 2001, 108:33-56.
    • (2001) Psychol. Rev. , vol.108 , pp. 33-56
    • Gilden, D.L.1
  • 25
    • 77952677475 scopus 로고    scopus 로고
    • Scaling laws in cognitive sciences
    • Kello C.T., et al. Scaling laws in cognitive sciences. Trends Cogn. Sci. 2010, 14:223-232.
    • (2010) Trends Cogn. Sci. , vol.14 , pp. 223-232
    • Kello, C.T.1
  • 26
    • 84880493615 scopus 로고    scopus 로고
    • Long-range temporal correlations in resting-state alpha oscillations predict human timing-error dynamics
    • Smit D.J., et al. Long-range temporal correlations in resting-state alpha oscillations predict human timing-error dynamics. J. Neurosci. 2013, 33:11212-11220.
    • (2013) J. Neurosci. , vol.33 , pp. 11212-11220
    • Smit, D.J.1
  • 27
    • 84874477847 scopus 로고    scopus 로고
    • Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws
    • Palva J.M., et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws. Proc. Natl. Acad. Sci. U.S.A. 2013, 110:3585-3590.
    • (2013) Proc. Natl. Acad. Sci. U.S.A. , vol.110 , pp. 3585-3590
    • Palva, J.M.1
  • 28
    • 51149086609 scopus 로고    scopus 로고
    • Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans
    • Monto S., et al. Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans. J. Neurosci. 2008, 28:8268-8272.
    • (2008) J. Neurosci. , vol.28 , pp. 8268-8272
    • Monto, S.1
  • 29
    • 80052929762 scopus 로고    scopus 로고
    • Scale-free modulation of resting-state neuronal oscillations reflects prolonged brain maturation in humans
    • Smit D.J., et al. Scale-free modulation of resting-state neuronal oscillations reflects prolonged brain maturation in humans. J. Neurosci. 2011, 31:13128-13136.
    • (2011) J. Neurosci. , vol.31 , pp. 13128-13136
    • Smit, D.J.1
  • 30
    • 84873640524 scopus 로고    scopus 로고
    • Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain
    • Fransson P., et al. Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain. Cereb. Cortex 2013, 23:638-646.
    • (2013) Cereb. Cortex , vol.23 , pp. 638-646
    • Fransson, P.1
  • 31
    • 84884327963 scopus 로고    scopus 로고
    • Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep
    • Tagliazucchi E., et al. Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep. Proc. Natl. Acad. Sci. U.S.A. 2013, 110:15419-15424.
    • (2013) Proc. Natl. Acad. Sci. U.S.A. , vol.110 , pp. 15419-15424
    • Tagliazucchi, E.1
  • 32
    • 14244263525 scopus 로고    scopus 로고
    • Fractional Gaussian noise, functional MRI and Alzheimer's disease
    • Maxim V., et al. Fractional Gaussian noise, functional MRI and Alzheimer's disease. Neuroimage 2005, 25:141-158.
    • (2005) Neuroimage , vol.25 , pp. 141-158
    • Maxim, V.1
  • 33
    • 75249098765 scopus 로고    scopus 로고
    • Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time series
    • Tolkunov D., et al. Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time series. Neuroimage 2010, 50:72-80.
    • (2010) Neuroimage , vol.50 , pp. 72-80
    • Tolkunov, D.1
  • 34
    • 60849095091 scopus 로고    scopus 로고
    • Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease
    • Montez T., et al. Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease. Proc. Natl. Acad. Sci. U.S.A. 2009, 106:1614-1619.
    • (2009) Proc. Natl. Acad. Sci. U.S.A. , vol.106 , pp. 1614-1619
    • Montez, T.1
  • 35
    • 84888293224 scopus 로고    scopus 로고
    • Identifying major depressive disorder using Hurst exponent of resting-state brain networks
    • Wei M., et al. Identifying major depressive disorder using Hurst exponent of resting-state brain networks. Psychiatry Res. 2013, 214:306-312.
    • (2013) Psychiatry Res. , vol.214 , pp. 306-312
    • Wei, M.1
  • 38
    • 33748808979 scopus 로고    scopus 로고
    • High gamma power is phase-locked to theta oscillations in human neocortex
    • Canolty R.T., et al. High gamma power is phase-locked to theta oscillations in human neocortex. Science 2006, 313:1626-1628.
    • (2006) Science , vol.313 , pp. 1626-1628
    • Canolty, R.T.1
  • 39
    • 57349194220 scopus 로고    scopus 로고
    • Electrophysiological correlates of the brain's intrinsic large-scale functional architecture
    • He B.J., et al. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture. Proc. Natl. Acad. Sci. U.S.A. 2008, 105:16039-16044.
    • (2008) Proc. Natl. Acad. Sci. U.S.A. , vol.105 , pp. 16039-16044
    • He, B.J.1
  • 40
    • 84855946379 scopus 로고    scopus 로고
    • Phase-amplitude coupling in human electrocorticography is spatially distributed and phase diverse
    • van der Meij R., et al. Phase-amplitude coupling in human electrocorticography is spatially distributed and phase diverse. J. Neurosci. 2012, 32:111-123.
    • (2012) J. Neurosci. , vol.32 , pp. 111-123
    • van der Meij, R.1
  • 41
    • 79953011851 scopus 로고    scopus 로고
    • Dynamic modulation of local population activity by rhythm phase in human occipital cortex during a visual search task
    • Miller K.J., et al. Dynamic modulation of local population activity by rhythm phase in human occipital cortex during a visual search task. Front. Hum. Neurosci. 2010, 4:197.
    • (2010) Front. Hum. Neurosci. , vol.4 , pp. 197
    • Miller, K.J.1
  • 42
    • 67649664104 scopus 로고    scopus 로고
    • The fMRI signal, slow cortical potential and consciousness
    • He B.J., Raichle M.E. The fMRI signal, slow cortical potential and consciousness. Trends Cogn. Sci. 2009, 13:302-309.
    • (2009) Trends Cogn. Sci. , vol.13 , pp. 302-309
    • He, B.J.1    Raichle, M.E.2
  • 43
    • 0025099383 scopus 로고
    • Slow potentials of the cerebral cortex and behavior
    • Birbaumer N., et al. Slow potentials of the cerebral cortex and behavior. Physiol. Rev. 1990, 70:1-41.
    • (1990) Physiol. Rev. , vol.70 , pp. 1-41
    • Birbaumer, N.1
  • 45
    • 80155148206 scopus 로고    scopus 로고
    • The laminar and temporal structure of stimulus information in the phase of field potentials of auditory cortex
    • Szymanski F.D., et al. The laminar and temporal structure of stimulus information in the phase of field potentials of auditory cortex. J. Neurosci. 2011, 31:15787-15801.
    • (2011) J. Neurosci. , vol.31 , pp. 15787-15801
    • Szymanski, F.D.1
  • 46
    • 79955506950 scopus 로고    scopus 로고
    • Different origins of gamma rhythm and high-gamma activity in macaque visual cortex
    • Ray S., Maunsell J.H. Different origins of gamma rhythm and high-gamma activity in macaque visual cortex. PLoS Biol. 2011, 9:e1000610.
    • (2011) PLoS Biol. , vol.9
    • Ray, S.1    Maunsell, J.H.2
  • 48
    • 42949129217 scopus 로고    scopus 로고
    • Finding gamma
    • Fries P., et al. Finding gamma. Neuron 2008, 58:303-305.
    • (2008) Neuron , vol.58 , pp. 303-305
    • Fries, P.1
  • 50
    • 19044362572 scopus 로고    scopus 로고
    • LFP power spectra in V1 cortex: the graded effect of stimulus contrast
    • Henrie J.A., Shapley R. LFP power spectra in V1 cortex: the graded effect of stimulus contrast. J. Neurophysiol. 2005, 94:479-490.
    • (2005) J. Neurophysiol. , vol.94 , pp. 479-490
    • Henrie, J.A.1    Shapley, R.2
  • 51
    • 63849195109 scopus 로고    scopus 로고
    • Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans
    • Miller K.J., et al. Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans. J. Neurosci. 2009, 29:3132-3137.
    • (2009) J. Neurosci. , vol.29 , pp. 3132-3137
    • Miller, K.J.1
  • 52
    • 84875370405 scopus 로고    scopus 로고
    • Functional organization of human sensorimotor cortex for speech articulation
    • Bouchard K.E., et al. Functional organization of human sensorimotor cortex for speech articulation. Nature 2013, 495:327-332.
    • (2013) Nature , vol.495 , pp. 327-332
    • Bouchard, K.E.1
  • 53
    • 84867721529 scopus 로고    scopus 로고
    • Slow cortical dynamics and the accumulation of information over long timescales
    • Honey C.J., et al. Slow cortical dynamics and the accumulation of information over long timescales. Neuron 2012, 76:423-434.
    • (2012) Neuron , vol.76 , pp. 423-434
    • Honey, C.J.1
  • 54
    • 79952606240 scopus 로고    scopus 로고
    • Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex
    • Dastjerdi M., et al. Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex. Proc. Natl. Acad. Sci. U.S.A. 2011, 108:3023-3028.
    • (2011) Proc. Natl. Acad. Sci. U.S.A. , vol.108 , pp. 3023-3028
    • Dastjerdi, M.1
  • 55
    • 80054040855 scopus 로고    scopus 로고
    • Transient suppression of broadband gamma power in the default-mode network is correlated with task complexity and subject performance
    • Ossandon T., et al. Transient suppression of broadband gamma power in the default-mode network is correlated with task complexity and subject performance. J. Neurosci. 2011, 31:14521-14530.
    • (2011) J. Neurosci. , vol.31 , pp. 14521-14530
    • Ossandon, T.1
  • 56
    • 84875273413 scopus 로고    scopus 로고
    • Infraslow LFP correlates to resting-state fMRI BOLD signals
    • Pan W.J., et al. Infraslow LFP correlates to resting-state fMRI BOLD signals. Neuroimage 2013, 74:288-297.
    • (2013) Neuroimage , vol.74 , pp. 288-297
    • Pan, W.J.1
  • 57
    • 84879843628 scopus 로고    scopus 로고
    • Optogenetic drive of neocortical pyramidal neurons generates fMRI signals that are correlated with spiking activity
    • Kahn I., et al. Optogenetic drive of neocortical pyramidal neurons generates fMRI signals that are correlated with spiking activity. Brain Res. 2013, 1511:33-45.
    • (2013) Brain Res. , vol.1511 , pp. 33-45
    • Kahn, I.1
  • 59
    • 1642580577 scopus 로고    scopus 로고
    • Stimulus-induced change in long-range temporal correlations and scaling behaviour of sensorimotor oscillations
    • Linkenkaer-Hansen K., et al. Stimulus-induced change in long-range temporal correlations and scaling behaviour of sensorimotor oscillations. Eur. J. Neurosci. 2004, 19:203-211.
    • (2004) Eur. J. Neurosci. , vol.19 , pp. 203-211
    • Linkenkaer-Hansen, K.1
  • 60
    • 0026082581 scopus 로고
    • Glutamate activation of a single NMDA receptor-channel produces a cluster of channel openings
    • Gibb A.J., Colquhoun D. Glutamate activation of a single NMDA receptor-channel produces a cluster of channel openings. Proc. Biol. Sci. 1991, 243:39-45.
    • (1991) Proc. Biol. Sci. , vol.243 , pp. 39-45
    • Gibb, A.J.1    Colquhoun, D.2
  • 61
    • 32544439341 scopus 로고    scopus 로고
    • A recurrent network mechanism of time integration in perceptual decisions
    • Wong K.F., Wang X.J. A recurrent network mechanism of time integration in perceptual decisions. J. Neurosci. 2006, 26:1314-1328.
    • (2006) J. Neurosci. , vol.26 , pp. 1314-1328
    • Wong, K.F.1    Wang, X.J.2
  • 62
    • 0029918176 scopus 로고    scopus 로고
    • A brief history of time (constants)
    • Koch C., et al. A brief history of time (constants). Cereb. Cortex 1996, 6:93-101.
    • (1996) Cereb. Cortex , vol.6 , pp. 93-101
    • Koch, C.1
  • 63
    • 0038734257 scopus 로고    scopus 로고
    • Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations
    • Brody C.D., et al. Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations. Curr. Opin. Neurobiol. 2003, 13:204-211.
    • (2003) Curr. Opin. Neurobiol. , vol.13 , pp. 204-211
    • Brody, C.D.1
  • 64
    • 9644274259 scopus 로고    scopus 로고
    • Persistent neural activity: prevalence and mechanisms
    • Major G., Tank D. Persistent neural activity: prevalence and mechanisms. Curr. Opin. Neurobiol. 2004, 14:675-684.
    • (2004) Curr. Opin. Neurobiol. , vol.14 , pp. 675-684
    • Major, G.1    Tank, D.2
  • 65
    • 77957857277 scopus 로고    scopus 로고
    • Metabotropic induction of persistent activity in layers II/III of anterior cingulate cortex
    • Zhang Z., Seguela P. Metabotropic induction of persistent activity in layers II/III of anterior cingulate cortex. Cereb. Cortex 2010, 20:2948-2957.
    • (2010) Cereb. Cortex , vol.20 , pp. 2948-2957
    • Zhang, Z.1    Seguela, P.2
  • 66
    • 38449103481 scopus 로고    scopus 로고
    • Cannabinoid-mediated disinhibition and working memory: dynamical interplay of multiple feedback mechanisms in a continuous attractor model of prefrontal cortex
    • Carter E., Wang X.J. Cannabinoid-mediated disinhibition and working memory: dynamical interplay of multiple feedback mechanisms in a continuous attractor model of prefrontal cortex. Cereb. Cortex 2007, 17(Suppl. 1):i16-i26.
    • (2007) Cereb. Cortex , vol.17 , Issue.SUPPL. 1
    • Carter, E.1    Wang, X.J.2
  • 67
    • 83555166188 scopus 로고    scopus 로고
    • A disinhibitory microcircuit for associative fear learning in the auditory cortex
    • Letzkus J.J., et al. A disinhibitory microcircuit for associative fear learning in the auditory cortex. Nature 2011, 480:331-335.
    • (2011) Nature , vol.480 , pp. 331-335
    • Letzkus, J.J.1
  • 68
    • 84855855120 scopus 로고    scopus 로고
    • Origins of 1/f2 scaling in the power spectrum of intracortical local field potential
    • Baranauskas G., et al. Origins of 1/f2 scaling in the power spectrum of intracortical local field potential. J. Neurophysiol. 2012, 107:984-994.
    • (2012) J. Neurophysiol. , vol.107 , pp. 984-994
    • Baranauskas, G.1
  • 69
    • 84868159004 scopus 로고    scopus 로고
    • Slow dynamics and high variability in balanced cortical networks with clustered connections
    • Litwin-Kumar A., Doiron B. Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat. Neurosci. 2012, 15:1498-1505.
    • (2012) Nat. Neurosci. , vol.15 , pp. 1498-1505
    • Litwin-Kumar, A.1    Doiron, B.2
  • 70
    • 84863904744 scopus 로고    scopus 로고
    • Inhibitory networks of fast-spiking interneurons generate slow population activities due to excitatory fluctuations and network multistability
    • Ho E.C., et al. Inhibitory networks of fast-spiking interneurons generate slow population activities due to excitatory fluctuations and network multistability. J. Neurosci. 2012, 32:9931-9946.
    • (2012) J. Neurosci. , vol.32 , pp. 9931-9946
    • Ho, E.C.1
  • 71
    • 78651338035 scopus 로고    scopus 로고
    • Intrinsic dendritic filtering gives low-pass power spectra of local field potentials
    • Linden H., et al. Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. J. Comput. Neurosci. 2010, 29:423-444.
    • (2010) J. Comput. Neurosci. , vol.29 , pp. 423-444
    • Linden, H.1
  • 72
    • 84886032286 scopus 로고    scopus 로고
    • Modelling and analysis of local field potentials for studying the function of cortical circuits
    • Einevoll G.T., et al. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nat. Rev. Neurosci. 2013, 14:770-785.
    • (2013) Nat. Rev. Neurosci. , vol.14 , pp. 770-785
    • Einevoll, G.T.1
  • 73
    • 0037526121 scopus 로고    scopus 로고
    • Spatial spectra of scalp EEG and EMG from awake humans
    • Freeman W.J., et al. Spatial spectra of scalp EEG and EMG from awake humans. Clin. Neurophysiol. 2003, 114:1053-1068.
    • (2003) Clin. Neurophysiol. , vol.114 , pp. 1053-1068
    • Freeman, W.J.1
  • 74
    • 34548270594 scopus 로고    scopus 로고
    • In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation
    • Logothetis N.K., et al. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron 2007, 55:809-823.
    • (2007) Neuron , vol.55 , pp. 809-823
    • Logothetis, N.K.1
  • 75
    • 0028802156 scopus 로고
    • Gamma (40-100Hz) oscillation in the hippocampus of the behaving rat
    • Bragin A., et al. Gamma (40-100Hz) oscillation in the hippocampus of the behaving rat. J. Neurosci. 1995, 15:47-60.
    • (1995) J. Neurosci. , vol.15 , pp. 47-60
    • Bragin, A.1
  • 76
    • 77958196627 scopus 로고    scopus 로고
    • The functional role of cross-frequency coupling
    • Canolty R.T., Knight R.T. The functional role of cross-frequency coupling. Trends Cogn. Sci. 2010, 14:506-515.
    • (2010) Trends Cogn. Sci. , vol.14 , pp. 506-515
    • Canolty, R.T.1    Knight, R.T.2
  • 77
    • 84863899325 scopus 로고    scopus 로고
    • Critical-state dynamics of avalanches and oscillations jointly emerge from balanced excitation/inhibition in neuronal networks
    • Poil S.S., et al. Critical-state dynamics of avalanches and oscillations jointly emerge from balanced excitation/inhibition in neuronal networks. J. Neurosci. 2012, 32:9817-9823.
    • (2012) J. Neurosci. , vol.32 , pp. 9817-9823
    • Poil, S.S.1
  • 78
    • 0348010295 scopus 로고    scopus 로고
    • Neuronal avalanches in neocortical circuits
    • Beggs J.M., Plenz D. Neuronal avalanches in neocortical circuits. J. Neurosci. 2003, 23:11167-11177.
    • (2003) J. Neurosci. , vol.23 , pp. 11167-11177
    • Beggs, J.M.1    Plenz, D.2
  • 79
    • 33847236188 scopus 로고    scopus 로고
    • The organizing principles of neuronal avalanches: cell assemblies in the cortex?
    • Plenz D., Thiagarajan T.C. The organizing principles of neuronal avalanches: cell assemblies in the cortex?. Trends Neurosci. 2007, 30:101-110.
    • (2007) Trends Neurosci. , vol.30 , pp. 101-110
    • Plenz, D.1    Thiagarajan, T.C.2
  • 80
    • 78650868298 scopus 로고    scopus 로고
    • Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches
    • Shew W.L., et al. Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches. J. Neurosci. 2011, 31:55-63.
    • (2011) J. Neurosci. , vol.31 , pp. 55-63
    • Shew, W.L.1
  • 81
    • 84861815486 scopus 로고    scopus 로고
    • Balance between excitation and inhibition controls the temporal organization of neuronal avalanches
    • Lombardi F., et al. Balance between excitation and inhibition controls the temporal organization of neuronal avalanches. Phys. Rev. Lett. 2012, 108:228703.
    • (2012) Phys. Rev. Lett. , vol.108 , pp. 228703
    • Lombardi, F.1
  • 82
    • 84856991721 scopus 로고    scopus 로고
    • Mathematics. Critical truths about power laws
    • Stumpf M.P., Porter M.A. Mathematics. Critical truths about power laws. Science 2012, 335:665-666.
    • (2012) Science , vol.335 , pp. 665-666
    • Stumpf, M.P.1    Porter, M.A.2
  • 83
    • 65549085067 scopus 로고    scopus 로고
    • Power-law distributions in empirical data
    • Clauset A., et al. Power-law distributions in empirical data. SIAM Rev. 2009, 51:661-703.
    • (2009) SIAM Rev. , vol.51 , pp. 661-703
    • Clauset, A.1
  • 84
    • 0030932272 scopus 로고    scopus 로고
    • A general model for the origin of allometric scaling laws in biology
    • West G.B., et al. A general model for the origin of allometric scaling laws in biology. Science 1997, 276:122-126.
    • (1997) Science , vol.276 , pp. 122-126
    • West, G.B.1
  • 86
    • 67650429936 scopus 로고    scopus 로고
    • The common patterns of nature
    • Frank S.A. The common patterns of nature. J. Evol. Biol. 2009, 22:1563-1585.
    • (2009) J. Evol. Biol. , vol.22 , pp. 1563-1585
    • Frank, S.A.1
  • 87
    • 44949238767 scopus 로고    scopus 로고
    • Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3
    • Gireesh E.D., Plenz D. Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3. Proc. Natl. Acad. Sci. U.S.A. 2008, 105:7576-7581.
    • (2008) Proc. Natl. Acad. Sci. U.S.A. , vol.105 , pp. 7576-7581
    • Gireesh, E.D.1    Plenz, D.2


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