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Volumn 21, Issue 7, 2009, Pages 1931-1951

Estimating instantaneous irregularity of neuronal firing

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; CYTOLOGY; HUMAN; NERVE CELL; NERVE TRACT; NONLINEAR SYSTEM; PHYSIOLOGY; STATISTICAL MODEL;

EID: 68249118540     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.08-08-841     Document Type: Letter
Times cited : (48)

References (57)
  • 2
    • 0001051483 scopus 로고
    • A geometrical derivation of the fixed interval smoothing algorithm
    • Ansley, C. F., & Kohn, R. (1982). A geometrical derivation of the fixed interval smoothing algorithm. Biometrika, 69(2), 486-487.
    • (1982) Biometrika , vol.69 , Issue.2 , pp. 486-487
    • Ansley, C.F.1    Kohn, R.2
  • 3
    • 18244407989 scopus 로고    scopus 로고
    • High discharge variability in neurons driven by current noise
    • Badoual, M., Rudolph, M., Piwkowska, Z., Destexhe, A., & Bal, T. (2005). High discharge variability in neurons driven by current noise. Neurocomputing, 65-66, 493-498.
    • (2005) Neurocomputing , vol.65-66 , pp. 493-498
    • Badoual, M.1    Rudolph, M.2    Piwkowska, Z.3    Destexhe, A.4    Bal, T.5
  • 4
    • 0037092434 scopus 로고    scopus 로고
    • The timing of response onset and offset in macaque visual neurons
    • Bair, W., Cavanaugh, J. R., Smith, M. A., & Movshon, J. A. (2002). The timing of response onset and offset in macaque visual neurons. Journal of Neuroscience, 22(8), 3189-3205.
    • (2002) Journal of Neuroscience , vol.22 , Issue.8 , pp. 3189-3205
    • Bair, W.1    Cavanaugh, J.R.2    Smith, M.A.3    Movshon, J.A.4
  • 5
    • 72249115796 scopus 로고    scopus 로고
    • Response vs. temporal frequency of drifting sinusoidal gratings for V1 complex direction selective cells
    • Available online at
    • Bair, W., & Movshon, J. A. (2004a). Response vs. temporal frequency of drifting sinusoidal gratings for V1 complex direction selective cells. Neural Signal Archive, nsa2004.4. Available online at http://www.neuralsignal.org.
    • (2004) Neural Signal Archive, nsa2004.4
    • Bair, W.1    Movshon, J.A.2
  • 6
    • 7244255889 scopus 로고    scopus 로고
    • Adaptive temporal integration of motion in direction-selective neurons in macaque visual cortex
    • Bair, W., & Movshon, J. A. (2004b). Adaptive temporal integration of motion in direction-selective neurons in macaque visual cortex. Journal of Neuroscience, 24(33), 7305-7323.
    • (2004) Journal of Neuroscience , vol.24 , Issue.33 , pp. 7305-7323
    • Bair, W.1    Movshon, J.A.2
  • 7
    • 0033787498 scopus 로고    scopus 로고
    • Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels
    • Baker, S. N., & Lemon, R. N. (2000). Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels. Journal of Neurophysiology, 84(4), 1770-1780.
    • (2000) Journal of Neurophysiology , vol.84 , Issue.4 , pp. 1770-1780
    • Baker, S.N.1    Lemon, R.N.2
  • 8
    • 33846611864 scopus 로고    scopus 로고
    • Balanced inhibition and excitation drive spike activity in spinal half-centers
    • Berg, R. W., Alaburda, A., & Hounsgaard, J. (2007). Balanced inhibition and excitation drive spike activity in spinal half-centers. Science, 315(5810), 390-393.
    • (2007) Science , vol.315 , Issue.5810 , pp. 390-393
    • Berg, R.W.1    Alaburda, A.2    Hounsgaard, J.3
  • 9
    • 0001678039 scopus 로고
    • Inhomogeneous and modulated gamma processes
    • Berman, M. (1981). Inhomogeneous and modulated gamma processes. Biometrika, 68(1), 143-152.
    • (1981) Biometrika , vol.68 , Issue.1 , pp. 143-152
    • Berman, M.1
  • 10
    • 0036482863 scopus 로고    scopus 로고
    • The time-rescaling theorem and its application to neural spike train data analysis
    • Brown, E. N., Barbieri, R., Ventura, V., Kass, R. E., & Frank, L. M. (2002). The time-rescaling theorem and its application to neural spike train data analysis. Neural Comput., 14(2), 325-346.
    • (2002) Neural Comput. , vol.14 , Issue.2 , pp. 325-346
    • Brown, E.N.1    Barbieri, R.2    Ventura, V.3    Kass, R.E.4    Frank, L.M.5
  • 12
    • 85161983315 scopus 로고    scopus 로고
    • Inferring neural firing rates from spike trains using gaussian processes
    • J. C. Platt, D. Koller, Y. Singer, & S. Rowers (Eds.) Cambridge, MA: MIT Press
    • Cunningham, J. P., Yu, B. M., Shenoy, K. V., & Sahani, M. (2008). Inferring neural firing rates from spike trains using gaussian processes. In J. C. Platt, D. Koller, Y. Singer, & S. Rowers (Eds.), Advances in neural information processing systems, 20 (pp. 329-336). Cambridge, MA: MIT Press.
    • (2008) Advances in neural information processing systems , vol.20 , pp. 329-336
    • Cunningham, J.P.1    Yu, B.M.2    Shenoy, K.V.3    Sahani, M.4
  • 13
    • 33746723492 scopus 로고    scopus 로고
    • Measurement of time-dependent changes in the irregularity of neural spiking
    • Davies, R. M., Gerstein, G. L., & Baker, S. N. (2006). Measurement of time-dependent changes in the irregularity of neural spiking. Journal of Neurophysiology, 96(2), 906-918.
    • (2006) Journal of Neurophysiology , vol.96 , Issue.2 , pp. 906-918
    • Davies, R.M.1    Gerstein, G.L.2    Baker, S.N.3
  • 15
    • 0043169189 scopus 로고
    • Covariances for smoothed estimates in state space models
    • de Jong, P., & Mackinnon, M. J. (1988). Covariances for smoothed estimates in state space models. Biometrika, 75(3), 601-602.
    • (1988) Biometrika , vol.75 , Issue.3 , pp. 601-602
    • de Jong, P.1    Mackinnon, M.J.2
  • 18
    • 79051469396 scopus 로고    scopus 로고
    • Burstiness and memory in complex systems
    • Goh, K. I., & Barabási, A. L. (2008). Burstiness and memory in complex systems. Europhysics Letters, 81, 48002 (1-5).
    • (2008) Europhysics Letters , vol.81 , Issue.1-5 , pp. 48002
    • Goh, K.I.1    Barabási, A.L.2
  • 19
    • 33646833761 scopus 로고    scopus 로고
    • Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition
    • Haider, B., Duque, A., Hasenstaub, A. R., & McCormick, D. A. (2006). Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition. Journal of Neuroscience, 26(17), 4535-4545.
    • (2006) Journal of Neuroscience , vol.26 , Issue.17 , pp. 4535-4545
    • Haider, B.1    Duque, A.2    Hasenstaub, A.R.3    McCormick, D.A.4
  • 20
    • 0029894898 scopus 로고    scopus 로고
    • Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons
    • Holt, G. R., Softky, W. R., Koch, C., & Douglas, R. J. (1996). Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. Journal of Neurophysiology, 75(5), 1806-1814.
    • (1996) Journal of Neurophysiology , vol.75 , Issue.5 , pp. 1806-1814
    • Holt, G.R.1    Softky, W.R.2    Koch, C.3    Douglas, R.J.4
  • 21
    • 27144528717 scopus 로고    scopus 로고
    • Information geometry of interspike intervals in spiking neurons
    • Ikeda, K. (2005). Information geometry of interspike intervals in spiking neurons. Neural Comput., 17(12), 2719-2735.
    • (2005) Neural Comput. , vol.17 , Issue.12 , pp. 2719-2735
    • Ikeda, K.1
  • 22
    • 0030447513 scopus 로고    scopus 로고
    • Point process models of single-neuron discharges
    • Johnson, D. H. (1996). Point process models of single-neuron discharges. Journal of Computational Neuroscience, 3(4), 275-299.
    • (1996) Journal of Computational Neuroscience , vol.3 , Issue.4 , pp. 275-299
    • Johnson, D.H.1
  • 23
    • 0033695948 scopus 로고    scopus 로고
    • Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons
    • Kara, P., Reinagel, P., & Reid, R. C. (2000). Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons. Neuron, 27(3), 635-646.
    • (2000) Neuron , vol.27 , Issue.3 , pp. 635-646
    • Kara, P.1    Reinagel, P.2    Reid, R.C.3
  • 24
    • 21544439557 scopus 로고    scopus 로고
    • Statistical issues in the analysis of neuronal data
    • Kass, R. E., Ventura, V., & Brown, E. N. (2005). Statistical issues in the analysis of neuronal data. Journal of Neurophysiology, 94(1), 8-25.
    • (2005) Journal of Neurophysiology , vol.94 , Issue.1 , pp. 8-25
    • Kass, R.E.1    Ventura, V.2    Brown, E.N.3
  • 25
    • 0043022292 scopus 로고    scopus 로고
    • Neuronal adaptation to visual motion in area MT of the macaque
    • Kohn, A., & Movshon, J. A. (2003). Neuronal adaptation to visual motion in area MT of the macaque. Neuron, 39(4), 681-691.
    • (2003) Neuron , vol.39 , Issue.4 , pp. 681-691
    • Kohn, A.1    Movshon, J.A.2
  • 26
    • 72249120190 scopus 로고    scopus 로고
    • Contrast response and direction tuning in macaque MT/V5
    • Available online at
    • Kohn, A., & Movshon, J. A. (2004a). Contrast response and direction tuning in macaque MT/V5. Neural Signal Archive, nsa2004.6. Available online at http://www.neuralsignal.org.
    • (2004) Neural Signal Archive, nsa2004.6
    • Kohn, A.1    Movshon, J.A.2
  • 27
    • 84868373516 scopus 로고    scopus 로고
    • LGN responses to drifting sinusoidal gratings at various temporal frequencies
    • Available online at
    • Kohn, A., & Movshon, J. A. (2004b). LGN responses to drifting sinusoidal gratings at various temporal frequencies. Neural Signal Archive, nsa2004.3. Available online at http://www.neuralsignal.org.
    • (2004) Neural Signal Archive, nsa2004.3
    • Kohn, A.1    Movshon, J.A.2
  • 28
    • 33745785636 scopus 로고    scopus 로고
    • Classification of stationary neuronal activity according to its information rate
    • Kostal, L., & Lansky, P. (2006). Classification of stationary neuronal activity according to its information rate. Network: Computation in Neural Systems, 17(2), 193-210.
    • (2006) Network: Computation in Neural Systems , vol.17 , Issue.2 , pp. 193-210
    • Kostal, L.1    Lansky, P.2
  • 30
    • 0001087514 scopus 로고
    • Maintained activity in the cat's retina in light and darkness
    • Kuffler, S. W., Fitzhugh, R., & Barlow, H. B. (1957). Maintained activity in the cat's retina in light and darkness. JournalofGeneralPhysiology, 40(5), 683-702.
    • (1957) JournalofGeneralPhysiology , vol.40 , Issue.5 , pp. 683-702
    • Kuffler, S.W.1    Fitzhugh, R.2    Barlow, H.B.3
  • 32
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay, D. J. C. (1992). Bayesian interpolation. Neural Computation, 4(3), 415-447.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.J.C.1
  • 33
    • 53249119005 scopus 로고    scopus 로고
    • FIND-A unified framework for neural data analysis
    • Meier, R., Egert, U., Aertsen, A., & Nawrot, M. P. (2008). FIND-A unified framework for neural data analysis. Neural Networks, 21(8), 1085-1093.
    • (2008) Neural Networks , vol.21 , Issue.8 , pp. 1085-1093
    • Meier, R.1    Egert, U.2    Aertsen, A.3    Nawrot, M.P.4
  • 35
    • 34250864330 scopus 로고    scopus 로고
    • Differential attention-dependent response modulation across cell classes in macaque visual area V4
    • Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007). Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron, 55(1), 131-141.
    • (2007) Neuron , vol.55 , Issue.1 , pp. 131-141
    • Mitchell, J.F.1    Sundberg, K.A.2    Reynolds, J.H.3
  • 36
    • 33749438552 scopus 로고    scopus 로고
    • Estimating spiking irregularities under changing environments
    • Miura, K., Okada, M., & Amari, S. (2006). Estimating spiking irregularities under changing environments. Neural Comput., 18(10), 2359-2386.
    • (2006) Neural Comput. , vol.18 , Issue.10 , pp. 2359-2386
    • Miura, K.1    Okada, M.2    Amari, S.3
  • 37
    • 37249044144 scopus 로고    scopus 로고
    • Balanced excitatory and inhibitory inputs to cortical neurons decouple firing irregularity from rate modulations
    • Miura, K., Tsubo, Y., Okada, M., & Fukai, T. (2007). Balanced excitatory and inhibitory inputs to cortical neurons decouple firing irregularity from rate modulations. Journal of Neuroscience, 27(50), 13802-13812.
    • (2007) Journal of Neuroscience , vol.27 , Issue.50 , pp. 13802-13812
    • Miura, K.1    Tsubo, Y.2    Okada, M.3    Fukai, T.4
  • 39
    • 37649028546 scopus 로고    scopus 로고
    • Occam factors and model independent Bayesian learning of continuous distributions
    • Nemenman, I., & Bialek, W. (2002). Occam factors and model independent Bayesian learning of continuous distributions. Physical Review E, 65(2), 026137.
    • (2002) Physical Review E , vol.65 , Issue.2 , pp. 026137
    • Nemenman, I.1    Bialek, W.2
  • 40
    • 28044458279 scopus 로고    scopus 로고
    • Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
    • Pillow, J. W., Paninski, L., Uzzell, V. J., Simoncelli, E. P., & Chichilnisky, E. J. (2005). Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. Journal of Neuroscience, 25(47), 11003-11013.
    • (2005) Journal of Neuroscience , vol.25 , Issue.47 , pp. 11003-11013
    • Pillow, J.W.1    Paninski, L.2    Uzzell, V.J.3    Simoncelli, E.P.4    Chichilnisky, E.J.5
  • 43
    • 0032402153 scopus 로고    scopus 로고
    • The power ratio and the interval map: Spiking models and extracellular recordings
    • Reich, D. S., Victor, J. D., & Knight, B. W. (1998). The power ratio and the interval map: Spiking models and extracellular recordings. Journal of Neuroscience, 18(23), 10090-10104.
    • (1998) Journal of Neuroscience , vol.18 , Issue.23 , pp. 10090-10104
    • Reich, D.S.1    Victor, J.D.2    Knight, B.W.3
  • 44
    • 0024996720 scopus 로고
    • Temporal encoding of two-dimensional patterns by single units in primate primary visual cortex. II. Information transmission
    • Richmond, B. J., & Optican, L. M. (1990). Temporal encoding of two-dimensional patterns by single units in primate primary visual cortex. II. Information transmission. Journal of Neurophysiology, 64(2), 3021-3033.
    • (1990) Journal of Neurophysiology , vol.64 , Issue.2 , pp. 3021-3033
    • Richmond, B.J.1    Optican, L.M.2
  • 46
    • 0028024043 scopus 로고
    • Noise, neural codes and cortical organization
    • Shadlen, M. N., & Newsome, W. T. (1994). Noise, neural codes and cortical organization. Current Opinion in Neurobiology, 4(4), 569-579.
    • (1994) Current Opinion in Neurobiology , vol.4 , Issue.4 , pp. 569-579
    • Shadlen, M.N.1    Newsome, W.T.2
  • 47
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding
    • Shadlen, M. N., & Newsome, W. T. (1998). The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. Journal of Neuroscience, 18(10), 3870-3896.
    • (1998) Journal of Neuroscience , vol.18 , Issue.10 , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 48
    • 21544466431 scopus 로고    scopus 로고
    • Regional and laminar differences in in vivo firing patterns of primate cortical neurons
    • Shinomoto, S., Miyazaki, Y., Tamura, H., & Fujita, I. (2005). Regional and laminar differences in in vivo firing patterns of primate cortical neurons. Journal of Neurophysiology, 94(1), 567-575.
    • (2005) Journal of Neurophysiology , vol.94 , Issue.1 , pp. 567-575
    • Shinomoto, S.1    Miyazaki, Y.2    Tamura, H.3    Fujita, I.4
  • 49
    • 0242550879 scopus 로고    scopus 로고
    • Differences in spiking patterns among cortical neurons
    • Shinomoto, S., Shima, K., & Tanji, J. (2003). Differences in spiking patterns among cortical neurons. Neural Comput., 15(12), 2823-2842.
    • (2003) Neural Comput. , vol.15 , Issue.12 , pp. 2823-2842
    • Shinomoto, S.1    Shima, K.2    Tanji, J.3
  • 50
    • 0038688379 scopus 로고    scopus 로고
    • Turning on and off recurrent balanced cortical activity
    • Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003). Turning on and off recurrent balanced cortical activity. Nature, 423(6937), 288-293.
    • (2003) Nature , vol.423 , Issue.6937 , pp. 288-293
    • Shu, Y.1    Hasenstaub, A.2    McCormick, D.A.3
  • 51
    • 0038605051 scopus 로고    scopus 로고
    • Estimating a state-space model from point process observations
    • Smith, A. C., & Brown, E. N. (2003). Estimating a state-space model from point process observations. Neural Comput., 15(5), 965-991.
    • (2003) Neural Comput , vol.15 , Issue.5 , pp. 965-991
    • Smith, A.C.1    Brown, E.N.2
  • 52
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky, W. R., & Koch, C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. Journal of Neuroscience, 13(1), 334-350.
    • (1993) Journal of Neuroscience , vol.13 , Issue.1 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 53
    • 11844290435 scopus 로고
    • A theoretical analysis of neuronal variability
    • Stein, R. B. (1965). A theoretical analysis of neuronal variability. Biophysical Journal, 5(2), 173-194.
    • (1965) Biophysical Journal , vol.5 , Issue.2 , pp. 173-194
    • Stein, R.B.1
  • 56
    • 0027030930 scopus 로고
    • Steady discharges of X and Y retinal ganglion cells of cat under photopic illuminance
    • Troy, J. B., & Robson, J. G. (1992). Steady discharges of X and Y retinal ganglion cells of cat under photopic illuminance. Visual Neuroscience, 9(6), 535-553.
    • (1992) Visual Neuroscience , vol.9 , Issue.6 , pp. 535-553
    • Troy, J.B.1    Robson, J.G.2


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