메뉴 건너뛰기




Volumn 16, Issue 2, 2004, Pages 159-175

An analytical model for the 'large, fluctuating synaptic conductance state' typical of neocortical neurons in vivo

Author keywords

Analytical model; Conductance based synapses; Cortical background activity; Integrate and fire neuron

Indexed keywords

NEURONS;

EID: 1542501657     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JCNS.0000014108.03012.81     Document Type: Article
Times cited : (56)

References (59)
  • 2
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
    • Amit DJ, Brunel N (1997) Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb. Cortex 7: 237-252.
    • (1997) Cereb. Cortex , vol.7 , pp. 237-252
    • Amit, D.J.1    Brunel, N.2
  • 3
    • 0029767876 scopus 로고    scopus 로고
    • Dynamics of ongoing activity: Explanation of the large varibality in evoked cortical responses
    • Arieli A, Sterkin A, Grinvald A, Aertsen A (1996) Dynamics of ongoing activity: Explanation of the large varibality in evoked cortical responses. Science 273: 1868-1871.
    • (1996) Science , vol.273 , pp. 1868-1871
    • Arieli, A.1    Sterkin, A.2    Grinvald, A.3    Aertsen, A.4
  • 5
    • 0033559399 scopus 로고    scopus 로고
    • Cellular mechanisms contribute to response variablity of cortical neurons in vivo
    • Azouz R, Gray CM (1999) Cellular mechanisms contribute to response variablity of cortical neurons in vivo. J. Neurosci. 19(6): 2209-2223.
    • (1999) J. Neurosci. , vol.19 , Issue.6 , pp. 2209-2223
    • Azouz, R.1    Gray, C.M.2
  • 6
    • 0026336425 scopus 로고
    • Synaptic background activity influences spatiotemporal integration in single pyramidal cells
    • Bernander O, Douglas RJ, Martin KAC, Koch C (1991) Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proc. Natl. Acad. Sci. USA 88: 11569-11573.
    • (1991) Proc. Natl. Acad. Sci. USA , vol.88 , pp. 11569-11573
    • Bernander, O.1    Douglas, R.J.2    Martin, K.A.C.3    Koch, C.4
  • 7
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • Brunel N (2000) Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J. Comput. Neurosci. 8: 183-208.
    • (2000) J. Comput. Neurosci. , vol.8 , pp. 183-208
    • Brunel, N.1
  • 8
    • 0033210816 scopus 로고    scopus 로고
    • Fast global oscillation in networks of integrate-and-fire N with low firing rates
    • Brunel N, Hakim V (1999) Fast global oscillation in networks of integrate-and-fire N with low firing rates. Neural. Comput. 11: 1621-1671.
    • (1999) Neural. Comput. , vol.11 , pp. 1621-1671
    • Brunel, N.1    Hakim, V.2
  • 9
    • 0032494755 scopus 로고    scopus 로고
    • Firing frequency of leaky integrate-and-fire neurons with synaptic current dynamics
    • Brunel N, Sergi S (1998) Firing frequency of leaky integrate-and-fire neurons with synaptic current dynamics. J. Theor. Neurobiol. 195: 87-95.
    • (1998) J. Theor. Neurobiol. , vol.195 , pp. 87-95
    • Brunel, N.1    Sergi, S.2
  • 10
    • 0001559694 scopus 로고    scopus 로고
    • Role of temporal integration and fluctuation detection in the highly irregular firing of a leaky integrator neuron model with partial reset
    • Bugmann G, Christodoulou C, Taylor JG (1997) Role of temporal integration and fluctuation detection in the highly irregular firing of a leaky integrator neuron model with partial reset. Neural Comput. 9: 985-1000.
    • (1997) Neural Comput. , vol.9 , pp. 985-1000
    • Bugmann, G.1    Christodoulou, C.2    Taylor, J.G.3
  • 11
    • 0035486770 scopus 로고    scopus 로고
    • Balanced neurons: Analysis of leaky integrate-and-fire neurons with reversal potential
    • Burkitt AN (2000) Balanced neurons: Analysis of leaky integrate-and-fire neurons with reversal potential. Biol. Cybern. 85: 247-255.
    • (2000) Biol. Cybern. , vol.85 , pp. 247-255
    • Burkitt, A.N.1
  • 12
    • 0141957923 scopus 로고    scopus 로고
    • Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input
    • Burkitt AN, Meffin H, Grayden DB (2003) Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern. 89: 119-125.
    • (2003) Biol. Cybern. , vol.89 , pp. 119-125
    • Burkitt, A.N.1    Meffin, H.2    Grayden, D.B.3
  • 13
    • 0034756436 scopus 로고    scopus 로고
    • Fokker-Planck approach to the pulse packet propagation in synfire chain
    • Câteau H, Fukai T (2001) Fokker-Planck approach to the pulse packet propagation in synfire chain. Neural Networks 14: 675-685.
    • (2001) Neural Networks , vol.14 , pp. 675-685
    • Câteau, H.1    Fukai, T.2
  • 14
    • 0037104631 scopus 로고    scopus 로고
    • Gain modulation from background synaptic input
    • Chance FS, Abbott LF, Reyes AD (2002) Gain modulation from background synaptic input. Neuron 35: 773-782.
    • (2002) Neuron , vol.35 , pp. 773-782
    • Chance, F.S.1    Abbott, L.F.2    Reyes, A.D.3
  • 15
    • 26744478783 scopus 로고    scopus 로고
    • Simulations of in-vivo-like activity in neocortical neurons using fluctuating synaptic conductances
    • Destexhe A (2001) Simulations of in-vivo-like activity in neocortical neurons using fluctuating synaptic conductances. http://cns.iaf.cnrs-gif.fr/alain_demos.html.
    • (2001)
    • Destexhe, A.1
  • 16
    • 0033053130 scopus 로고    scopus 로고
    • Impact of network activity on the integrative properties of neocortical pyrimidal neurons in vivo
    • Destexhe A, Paré D (1999) Impact of network activity on the integrative properties of neocortical pyrimidal neurons in vivo. J. Neurophysiol. 81: 1531-1547.
    • (1999) J. Neurophysiol. , vol.81 , pp. 1531-1547
    • Destexhe, A.1    Paré, D.2
  • 17
    • 0035834798 scopus 로고    scopus 로고
    • Fluctuating synaptic conductances recreate in-vivo-like activity in neocortical neurons
    • Destexhe A, Rudolph M, Fellous J-M, Sejnowski TJ (2001) Fluctuating synaptic conductances recreate in-vivo-like activity in neocortical neurons. Neurosci. 107: 13-24.
    • (2001) Neurosci. , vol.107 , pp. 13-24
    • Destexhe, A.1    Rudolph, M.2    Fellous, J.-M.3    Sejnowski, T.J.4
  • 19
    • 0032579119 scopus 로고    scopus 로고
    • Spike output jitter, mean firing time and coefficient of variation
    • Feng J, Brown D (1998) Spike output jitter, mean firing time and coefficient of variation. J. Phys. A. 31: 1239-1252.
    • (1998) J. Phys. A. , vol.31 , pp. 1239-1252
    • Feng, J.1    Brown, D.2
  • 20
    • 0002338948 scopus 로고
    • Random walk models for the spike activity of a single neuron
    • Gerstein GL, Mandelbrot B (1964) Random walk models for the spike activity of a single neuron. Biophys. J. 4: 41-68.
    • (1964) Biophys. J. , vol.4 , pp. 41-68
    • Gerstein, G.L.1    Mandelbrot, B.2
  • 21
    • 0032111678 scopus 로고    scopus 로고
    • Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics
    • Gutkin BS, Ermentrout GB (1998) Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics. Neural Comput. 10: 1047-1065.
    • (1998) Neural Comput. , vol.10 , pp. 1047-1065
    • Gutkin, B.S.1    Ermentrout, G.B.2
  • 22
    • 0034721728 scopus 로고    scopus 로고
    • Diversity and dynamics of dendritic signaling
    • Häusser M, Spruston N, Stuart GJ (2000) Diversity and dynamics of dendritic signaling. Science 290: 739-744.
    • (2000) Science , vol.290 , pp. 739-744
    • Häusser, M.1    Spruston, N.2    Stuart, G.J.3
  • 23
    • 0031571202 scopus 로고    scopus 로고
    • The NEURON simulation environment
    • Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput. 9: 1179-1209.
    • (1997) Neural Comput. , vol.9 , pp. 1179-1209
    • Hines, M.L.1    Carnevale, N.T.2
  • 25
    • 0033162502 scopus 로고    scopus 로고
    • The continuum of operating modes for passive model neurons
    • Kisley MA, Gerstein GL (1999) The continuum of operating modes for passive model neurons. Neural Comput. 11: 1139-1154.
    • (1999) Neural Comput. , vol.11 , pp. 1139-1154
    • Kisley, M.A.1    Gerstein, G.L.2
  • 26
    • 0033082403 scopus 로고    scopus 로고
    • Synchonous membrane potential fluctuations in neurons of the cat visual cortex
    • Lampl I, Reichova I, Ferster D (1999) Synchonous membrane potential fluctuations in neurons of the cat visual cortex. Neuron 22: 361-374.
    • (1999) Neuron , vol.22 , pp. 361-374
    • Lampl, I.1    Reichova, I.2    Ferster, D.3
  • 27
    • 0036813015 scopus 로고    scopus 로고
    • Noise-induced divisive gain control in neuron models
    • Longtin A, Doiron B, Bulsara, AR (2002) Noise-induced divisive gain control in neuron models. BioSys. 67: 147-156.
    • (2002) BioSys. , vol.67 , pp. 147-156
    • Longtin, A.1    Doiron, B.2    Bulsara, A.R.3
  • 28
    • 0003123651 scopus 로고    scopus 로고
    • Why have dendrites? A computational perspective
    • GJ Stuart, N Spruston, M Hüsser, eds. Oxford Uni. Press, NY
    • Mel BW (1999) Why have dendrites? A computational perspective. In: GJ Stuart, N Spruston, M Hüsser, eds. Dendrites. Oxford Uni. Press, NY, pp. 271-289.
    • (1999) Dendrites , pp. 271-289
    • Mel, B.W.1
  • 30
    • 0042908996 scopus 로고    scopus 로고
    • Speed of feedforward and recurrent processing in multilayer networks of integrate-and-fire neurons
    • Panzeri S, Rolls ET, Battaglia F, Lavis R (2001) Speed of feedforward and recurrent processing in multilayer networks of integrate-and-fire neurons. Network: Comput. Neural Syst. 12: 423-440.
    • (2001) Network: Comput. Neural Syst. , vol.12 , pp. 423-440
    • Panzeri, S.1    Rolls, E.T.2    Battaglia, F.3    Lavis, R.4
  • 31
    • 0031941210 scopus 로고    scopus 로고
    • Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons in vivo
    • Paré D, Shink E, Gaudreau H, Destexhe A, Lang EJ (1998) Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons in vivo. J. Neurophysiol. 79: 1450-1460.
    • (1998) J. Neurophysiol. , vol.79 , pp. 1450-1460
    • Paré, D.1    Shink, E.2    Gaudreau, H.3    Destexhe, A.4    Lang, E.J.5
  • 32
    • 0026081348 scopus 로고
    • Electrotonic structure of olafactory sensory neurons analysed by intracellular and whole cell patch techniques
    • Pongracz F, Firestein S, Shepard GM (1991) Electrotonic structure of olafactory sensory neurons analysed by intracellular and whole cell patch techniques. J. Neurophysiol. 65: 747-758.
    • (1991) J. Neurophysiol. , vol.65 , pp. 747-758
    • Pongracz, F.1    Firestein, S.2    Shepard, G.M.3
  • 34
    • 0038120125 scopus 로고    scopus 로고
    • The discharge variability of neocortical neurons during high-conductance states
    • Rudolph M, Destexhe A (2003a) The discharge variability of neocortical neurons during high-conductance states. Neurosci. 119: 855-873.
    • (2003) Neurosci. , vol.119 , pp. 855-873
    • Rudolph, M.1    Destexhe, A.2
  • 35
    • 0037444548 scopus 로고    scopus 로고
    • A fast-conducting, stochastic integrative mode for neocortical neurons in vivo
    • Rudolph M, Destexhe A (2003b) A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. J. Neurosci. 24(6): 2466-2476.
    • (2003) J. Neurosci. , vol.24 , Issue.6 , pp. 2466-2476
    • Rudolph, M.1    Destexhe, A.2
  • 36
    • 0037570830 scopus 로고    scopus 로고
    • Tuning neocortical pyramidal neurons between integrators and coincidence detectors
    • Rudolph M, Destexhe A (2003c) Tuning neocortical pyramidal neurons between integrators and coincidence detectors. J. Comput. Neurosci. 14(3): 239-251.
    • (2003) J. Comput. Neurosci. , vol.14 , Issue.3 , pp. 239-251
    • Rudolph, M.1    Destexhe, A.2
  • 37
    • 0034663013 scopus 로고    scopus 로고
    • Impact of correlated synaptic input on output firing rate and variability in simple neuronal models
    • Salinas E, Sejnowski TJ (2000) Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J. Neurosci. 20: 6193-6209.
    • (2000) J. Neurosci. , vol.20 , pp. 6193-6209
    • Salinas, E.1    Sejnowski, T.J.2
  • 38
    • 0028024043 scopus 로고
    • Noise, neural codes and cortical organization
    • Shadlen MN, Newsome WT (1994) Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 4: 569-579.
    • (1994) Curr. Opin. Neurobiol. , vol.4 , pp. 569-579
    • Shadlen, M.N.1    Newsome, W.T.2
  • 39
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding
    • Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J. Neurosci. 18: 3870-3896.
    • (1998) J. Neurosci. , vol.18 , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 40
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky WR, Koch C (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 13: 334-350.
    • (1993) J. Neurosci. , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 41
    • 0026598099 scopus 로고
    • Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons
    • Spruston N, Johnston D (1992) Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons. J. Neurophysiol. 67: 508-529.
    • (1992) J. Neurophysiol. , vol.67 , pp. 508-529
    • Spruston, N.1    Johnston, D.2
  • 42
    • 0032106255 scopus 로고    scopus 로고
    • Input synchrony and the irregular firing of cortical neurons
    • Stevens CF, Zador AM (1998) Input synchrony and the irregular firing of cortical neurons. Nature Neurosci. 1(3): 210-217.
    • (1998) Nature Neurosci. , vol.1 , Issue.3 , pp. 210-217
    • Stevens, C.F.1    Zador, A.M.2
  • 44
    • 18244424967 scopus 로고    scopus 로고
    • The ground state of cortical feedforward networks
    • Tetzlaff T, Giesel T, Diesmann M (2002) The ground state of cortical feedforward networks. Neurocomput. 44-46: 673-678.
    • (2002) Neurocomput. , vol.44-46 , pp. 673-678
    • Tetzlaff, T.1    Giesel, T.2    Diesmann, M.3
  • 45
    • 0034352129 scopus 로고    scopus 로고
    • Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels
    • Tiesinga PHE, José JV, Sejnowski TJ (2000) Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels. Phys. Rev. E 62: 8413-8419.
    • (2000) Phys. Rev. E , vol.62 , pp. 8413-8419
    • Tiesinga, P.H.E.1    José, J.V.2    Sejnowski, T.J.3
  • 47
    • 36149037160 scopus 로고
    • Mean-field analysis of neuronal spike dynamics
    • Treves A (1993) Mean-field analysis of neuronal spike dynamics. Network: Comput. Neural Syst. 4: 259-284.
    • (1993) Network: Comput. Neural Syst. , vol.4 , pp. 259-284
    • Treves, A.1
  • 48
    • 0031182938 scopus 로고    scopus 로고
    • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell
    • Troyer TW, Miller KD (1997) Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Comput. 9: 971-983.
    • (1997) Neural Comput. , vol.9 , pp. 971-983
    • Troyer, T.W.1    Miller, K.D.2
  • 49
    • 0000794781 scopus 로고
    • Rapid state switching in balanced cortical network models
    • Tsodyks MV, Sejnowski TJ (1995) Rapid state switching in balanced cortical network models. Network: Comput. Neural Sys. 6: 111-124.
    • (1995) Network: Comput. Neural Sys. , vol.6 , pp. 111-124
    • Tsodyks, M.V.1    Sejnowski, T.J.2
  • 50
    • 0033521056 scopus 로고    scopus 로고
    • Linking spontaneous activity of single cortical neurons and the underlying functional architecture
    • Tsodyks MV, Kenet T, Grinvald A, Arieli A (1999) Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science 286: 1943-1945.
    • (1999) Science , vol.286 , pp. 1943-1945
    • Tsodyks, M.V.1    Kenet, T.2    Grinvald, A.3    Arieli, A.4
  • 53
    • 0001463212 scopus 로고
    • Network amplification of local fluctuations cause high spike rate variability, fractal firing patterns and oscillatory local field potentials
    • Usher M, Stemmler M, Koch C, Olami Z (1994) Network amplification of local fluctuations cause high spike rate variability, fractal firing patterns and oscillatory local field potentials. Neural Comput. 6: 795-836.
    • (1994) Neural Comput. , vol.6 , pp. 795-836
    • Usher, M.1    Stemmler, M.2    Koch, C.3    Olami, Z.4
  • 55
    • 0036523040 scopus 로고    scopus 로고
    • Fast propagation of firing rates through layered networks of noisy neurons
    • van Rossum MCW, Turrigiano GG, Nelson SB (2002) Fast propagation of firing rates through layered networks of noisy neurons. J. Neurosci. 22: 1956-1966.
    • (2002) J. Neurosci. , vol.22 , pp. 1956-1966
    • van Rossum, M.C.W.1    Turrigiano, G.G.2    Nelson, S.B.3
  • 56
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • van Vreeswijk C, Somplinsky H (1996) Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science 274: 1724-1726.
    • (1996) Science , vol.274 , pp. 1724-1726
    • van Vreeswijk, C.1    Somplinsky, H.2
  • 57
    • 0032528729 scopus 로고    scopus 로고
    • Chaotic balanced state in a model of cortical circuits
    • van Vreeswijk C, Somplinsky H (1998) Chaotic balanced state in a model of cortical circuits. Neural Comput. 10: 1321-1371.
    • (1998) Neural Comput. , vol.10 , pp. 1321-1371
    • van Vreeswijk, C.1    Somplinsky, H.2
  • 59
    • 0037040593 scopus 로고    scopus 로고
    • Dependence of EPSP efficacy on synapse location in neocortical pyramidal neurons
    • Williams SR, Stuart GJ (2002) Dependence of EPSP efficacy on synapse location in neocortical pyramidal neurons. Science 295: 1907-1910.
    • (2002) Science , vol.295 , pp. 1907-1910
    • Williams, S.R.1    Stuart, G.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.