메뉴 건너뛰기




Volumn 87, Issue 1, 2007, Pages 49-57

Sensitive dependence of the coefficient of variation of interspike intervals on the lower boundary of membrane potential for the leaky integrate-and-fire neuron model

Author keywords

Coefficient of variation; Integrate and fire neuron model; Interspike interval; Leaky integrator; Reversal potential

Indexed keywords

MEMBRANE; NERVOUS SYSTEM;

EID: 33845454835     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2006.03.003     Document Type: Article
Times cited : (10)

References (40)
  • 2
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J. Comput. Neurosci. 8 (2000) 183-208
    • (2000) J. Comput. Neurosci. , vol.8 , pp. 183-208
    • Brunel, N.1
  • 3
    • 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., and Taylor J.G. Role of temporal integration and fluctuation detection in the highly irregular firing of a leaky integrator neuron model with partial reset. Neural Comput. 9 (1997) 985-1000
    • (1997) Neural Comput. , vol.9 , pp. 985-1000
    • Bugmann, G.1    Christodoulou, C.2    Taylor, J.G.3
  • 4
    • 0035486770 scopus 로고    scopus 로고
    • Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials
    • Burkitt A.N. Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. Biol. Cybern. 85 (2001) 247-255
    • (2001) Biol. Cybern. , vol.85 , pp. 247-255
    • Burkitt, A.N.1
  • 5
    • 0034499150 scopus 로고    scopus 로고
    • Near Poisson-type firing produced by concurrent excitation and inhibition
    • Christodoulou C., and Bugmann G. Near Poisson-type firing produced by concurrent excitation and inhibition. Biosystems 58 (2000) 41-48
    • (2000) Biosystems , vol.58 , pp. 41-48
    • Christodoulou, C.1    Bugmann, G.2
  • 6
    • 0035384071 scopus 로고    scopus 로고
    • Coefficient of variation versus mean interspike interval curves: what do they tell us about the brain?
    • Christodoulou C., and Bugmann G. Coefficient of variation versus mean interspike interval curves: what do they tell us about the brain?. Neurocomputing 38-40 (2001) 1141-1149
    • (2001) Neurocomputing , vol.38-40 , pp. 1141-1149
    • Christodoulou, C.1    Bugmann, G.2
  • 7
    • 0033124335 scopus 로고    scopus 로고
    • Coefficient of variation of interspike intervals greater than 0.5. How and when?
    • Feng J., and Brown D. Coefficient of variation of interspike intervals greater than 0.5. How and when?. Biol. Cybern. 80 (1999) 291-297
    • (1999) Biol. Cybern. , vol.80 , pp. 291-297
    • Feng, J.1    Brown, D.2
  • 8
    • 0034152042 scopus 로고    scopus 로고
    • Impact of correlated inputs on the output of the integrated-and-fire model
    • Feng J., and Brown D. Impact of correlated inputs on the output of the integrated-and-fire model. Neural Comput. 12 (2000) 671-692
    • (2000) Neural Comput. , vol.12 , pp. 671-692
    • Feng, J.1    Brown, D.2
  • 9
    • 18144386904 scopus 로고    scopus 로고
    • Dynamics of the instantaneous firing rate in response to changes in input statistics
    • Fourcaud-Trocme N., and Brunel N. Dynamics of the instantaneous firing rate in response to changes in input statistics. J. Comput. Neurosci. 18 (2005) 311-321
    • (2005) J. Comput. Neurosci. , vol.18 , pp. 311-321
    • Fourcaud-Trocme, N.1    Brunel, N.2
  • 10
    • 0023939939 scopus 로고
    • Diffusion approximation and first-passage-time problem for a model neuron. III. A birth-and-death process approach
    • Giorno V., Lánský P., Nobile A.G., and Ricciardi L.M. Diffusion approximation and first-passage-time problem for a model neuron. III. A birth-and-death process approach. Biol. Cybern. 58 (1988) 387-404
    • (1988) Biol. Cybern. , vol.58 , pp. 387-404
    • Giorno, V.1    Lánský, P.2    Nobile, A.G.3    Ricciardi, L.M.4
  • 11
    • 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 B.S., and Ermentrout G.B. Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics. Neural Comput. 10 (1998) 1047-1065
    • (1998) Neural Comput. , vol.10 , pp. 1047-1065
    • Gutkin, B.S.1    Ermentrout, G.B.2
  • 12
    • 0000340275 scopus 로고
    • Diffusion approximation for neuronal activity including synaptic reversal potential
    • Hanson F.B., and Tuckwell H.C. Diffusion approximation for neuronal activity including synaptic reversal potential. J. Theor. Biol. 2 (1983) 127-153
    • (1983) J. Theor. Biol. , vol.2 , pp. 127-153
    • Hanson, F.B.1    Tuckwell, H.C.2
  • 13
    • 33845454390 scopus 로고    scopus 로고
    • Inoue, J., Sato, S., Ricciardi, L.M., 1997. A note on the moments of the first-passage time of the Ornstein-Uhlenbeck process with a reflecting boundary. Ricerche di Matematica, vol. XLVI, fasc. 1, pp. 87-99.
  • 15
    • 0038356691 scopus 로고    scopus 로고
    • Integrator or coincidence detector? The role of the cortical neuron revisited
    • Koning P., Engel A.K., and Singer W. Integrator or coincidence detector? The role of the cortical neuron revisited. Trends Neurosci. 19 (1996) 130-137
    • (1996) Trends Neurosci. , vol.19 , pp. 130-137
    • Koning, P.1    Engel, A.K.2    Singer, W.3
  • 16
    • 0028318830 scopus 로고
    • Synaptic Transmission in a diffusion model for neural activity
    • Lánská V., Lánský P., and Smith C.E. Synaptic Transmission in a diffusion model for neural activity. J. Theor. Biol. 166 (1994) 393-406
    • (1994) J. Theor. Biol. , vol.166 , pp. 393-406
    • Lánská, V.1    Lánský, P.2    Smith, C.E.3
  • 17
    • 0023130393 scopus 로고
    • Diffusion Approximation of the neuronal model with synaptic reversal potentials
    • Lánský P., and Lánská V. Diffusion Approximation of the neuronal model with synaptic reversal potentials. Biol. Cybern. 56 (1987) 19-26
    • (1987) Biol. Cybern. , vol.56 , pp. 19-26
    • Lánský, P.1    Lánská, V.2
  • 18
    • 10744229974 scopus 로고    scopus 로고
    • Mean instantaneous firing frequency is always higher than the firing rate
    • Lánský P., Rodriguez R., and Sacerdote L. Mean instantaneous firing frequency is always higher than the firing rate. Neural Comput. 16 (2004) 477-489
    • (2004) Neural Comput. , vol.16 , pp. 477-489
    • Lánský, P.1    Rodriguez, R.2    Sacerdote, L.3
  • 19
    • 0029394120 scopus 로고
    • On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity
    • Lánský P., Sacerdote L., and Tomassetti F. On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. Biol. Cybern. 73 (1995) 457-465
    • (1995) Biol. Cybern. , vol.73 , pp. 457-465
    • Lánský, P.1    Sacerdote, L.2    Tomassetti, F.3
  • 20
    • 0043009735 scopus 로고    scopus 로고
    • Analysis Expressions for rate and CV of a type I neuron driven by white gaussian noise
    • Lindner B., Longtin A., and Bulsara A. Analysis Expressions for rate and CV of a type I neuron driven by white gaussian noise. Neural Comput. 15 (2003) 1761-1788
    • (2003) Neural Comput. , vol.15 , pp. 1761-1788
    • Lindner, B.1    Longtin, A.2    Bulsara, A.3
  • 21
    • 1542501657 scopus 로고    scopus 로고
    • An analytical model for the 'large, fluctuating synaptic conductance state' typical of neocortical neurons in vivo
    • Meffin H., Burkitt A.N., and Grayden D.B. An analytical model for the 'large, fluctuating synaptic conductance state' typical of neocortical neurons in vivo. J. Comput. Neurosci. 16 (2004) 159-175
    • (2004) J. Comput. Neurosci. , vol.16 , pp. 159-175
    • Meffin, H.1    Burkitt, A.N.2    Grayden, D.B.3
  • 22
    • 0018606356 scopus 로고
    • The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
    • Ricciardi L.M., and Sacerdote L. The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time. Biol. Cybern. 35 (1979) 1-9
    • (1979) Biol. Cybern. , vol.35 , pp. 1-9
    • Ricciardi, L.M.1    Sacerdote, L.2
  • 23
    • 0000711915 scopus 로고
    • First-passage-time density and moments of the Ornstein-Uhlenbeck process
    • Ricciardi L.M., and Sato S. First-passage-time density and moments of the Ornstein-Uhlenbeck process. J. Appl. Prob. 25 (1988) 43-57
    • (1988) J. Appl. Prob. , vol.25 , pp. 43-57
    • Ricciardi, L.M.1    Sato, S.2
  • 24
    • 0038120125 scopus 로고    scopus 로고
    • The discharge variability of neocortical neurons during high-conductance states
    • Rudolph M., and Destexhe A. The discharge variability of neocortical neurons during high-conductance states. Neuroscience 119 (2003) 855-873
    • (2003) Neuroscience , vol.119 , pp. 855-873
    • Rudolph, M.1    Destexhe, A.2
  • 25
    • 0034504593 scopus 로고    scopus 로고
    • New parameter relationships determined via stochastic ordering for spike activity in a reversal potential neural model
    • Sacerdote L., and Smith C.E. New parameter relationships determined via stochastic ordering for spike activity in a reversal potential neural model. Biosystems 58 (2000) 59-65
    • (2000) Biosystems , vol.58 , pp. 59-65
    • Sacerdote, L.1    Smith, C.E.2
  • 26
    • 0034546809 scopus 로고    scopus 로고
    • A qualitative comparison of some diffusion models for neural activity via stochastic ordering
    • Sacerdote L., and Smith C.E. A qualitative comparison of some diffusion models for neural activity via stochastic ordering. Biol. Cybern. 83 (2000) 543-551
    • (2000) Biol. Cybern. , vol.83 , pp. 543-551
    • Sacerdote, L.1    Smith, C.E.2
  • 27
    • 0033213820 scopus 로고    scopus 로고
    • Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons
    • Sakai Y., Funahashi S., and Shinomoto S. Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons. Neural Networks 12 (1999) 1181-1190
    • (1999) Neural Networks , vol.12 , pp. 1181-1190
    • Sakai, Y.1    Funahashi, S.2    Shinomoto, S.3
  • 28
    • 0034663013 scopus 로고    scopus 로고
    • Impact of correlated synaptic input on output firing rate and variability in simple neuronal models
    • Salinas E., and Sejnowski T.J. Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J. Neurosci. 20 (2000) 6193-6209
    • (2000) J. Neurosci. , vol.20 , pp. 6193-6209
    • Salinas, E.1    Sejnowski, T.J.2
  • 29
    • 0028024043 scopus 로고
    • Noise, neural codes and cortical organization
    • Shadlen M.N., and Newsome W.T. Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 4 (1994) 569-579
    • (1994) Curr. Opin. Neurobiol. , vol.4 , pp. 569-579
    • Shadlen, M.N.1    Newsome, W.T.2
  • 30
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: implications for connectivity, computations, and information coding
    • Shadlen M.N., and Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computations, and information coding. J. Neurosci. 18 (1998) 3870-3896
    • (1998) J. Neurosci. , vol.18 , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 31
    • 0033561846 scopus 로고    scopus 로고
    • The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex
    • Shinomoto S., Sakai Y., and Funahashi S. The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex. Neural Comput. 11 (1999) 935-951
    • (1999) Neural Comput. , vol.11 , pp. 935-951
    • Shinomoto, S.1    Sakai, Y.2    Funahashi, S.3
  • 32
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky W.R., and Koch C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 13 (1993) 334-350
    • (1993) J. Neurosci. , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 33
    • 11844290435 scopus 로고
    • A theoretical analysis of neuronal variability
    • Stein R.B. A theoretical analysis of neuronal variability. Biophys. J. 5 (1965) 173-194
    • (1965) Biophys. J. , vol.5 , pp. 173-194
    • Stein, R.B.1
  • 34
    • 0034817330 scopus 로고    scopus 로고
    • Variability and coding efficiency of noisy neural encoders
    • Steinmetz P.N., Manwani A., and Koch C. Variability and coding efficiency of noisy neural encoders. Biosystems 62 (2001) 87
    • (2001) Biosystems , vol.62 , pp. 87
    • Steinmetz, P.N.1    Manwani, A.2    Koch, C.3
  • 35
    • 0032106255 scopus 로고    scopus 로고
    • Input synchrony and the irregular firing of cortical neurons
    • Stevens C.F., and Zador A.M. Input synchrony and the irregular firing of cortical neurons. Nat. Neurosci. 1 (1998) 210-217
    • (1998) Nat. Neurosci. , vol.1 , pp. 210-217
    • Stevens, C.F.1    Zador, A.M.2
  • 36
    • 0033883125 scopus 로고    scopus 로고
    • Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons
    • Svirskis G., and Rinzel J. Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons. Biophys. J. 79 (2000) 629-637
    • (2000) Biophys. J. , vol.79 , pp. 629-637
    • Svirskis, G.1    Rinzel, J.2
  • 37
    • 0034352129 scopus 로고    scopus 로고
    • Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels
    • Tiesinga P.H.E., Jose J.V., and Sejnowski T.J. Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels. Phys. Rev. E 62 (2000) 8413-8419
    • (2000) Phys. Rev. E , vol.62 , pp. 8413-8419
    • Tiesinga, P.H.E.1    Jose, J.V.2    Sejnowski, T.J.3
  • 38
    • 0031182938 scopus 로고    scopus 로고
    • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell
    • Troyer T.W., and Miller K.D. Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Comput. 9 (1997) 971-983
    • (1997) Neural Comput. , vol.9 , pp. 971-983
    • Troyer, T.W.1    Miller, K.D.2
  • 40
    • 14644410343 scopus 로고    scopus 로고
    • Spike trains in a stochastic Hodgkin-Huxley system
    • Tuckwell H.C. Spike trains in a stochastic Hodgkin-Huxley system. Biosystems 80 (2005) 25-36
    • (2005) Biosystems , vol.80 , pp. 25-36
    • Tuckwell, H.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.