메뉴 건너뛰기




Volumn 16, Issue 3, 2004, Pages 477-489

Mean Instantaneous Firing Frequency is Always Higher Than the Firing Rate

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BIOPHYSICS; COMPARATIVE STUDY; HUMAN; NERVE CELL; PHYSIOLOGY; POISSON DISTRIBUTION; STATISTICS; TIME;

EID: 10744229974     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976604772744875     Document Type: Article
Times cited : (46)

References (31)
  • 3
    • 0023910684 scopus 로고
    • Continuous function determined by spike trains of a neuron subject to stimulation
    • Awiszus, F. (1988). Continuous function determined by spike trains of a neuron subject to stimulation. Biol. Cybern., 58, 321-327.
    • (1988) Biol. Cybern. , vol.58 , pp. 321-327
    • Awiszus, F.1
  • 4
    • 0035375282 scopus 로고    scopus 로고
    • Determination of response latency and its application to normalization of cross-correlation measures
    • Baker, S. N., & Gerstein, G. L. (2001). Determination of response latency and its application to normalization of cross-correlation measures. Neural Comput., 13, 1351-1378.
    • (2001) Neural Comput. , vol.13 , pp. 1351-1378
    • Baker, S.N.1    Gerstein, G.L.2
  • 5
    • 0016710821 scopus 로고
    • The self-inhibited leaky integrator: Transfer functions and steady state relations
    • Barbi, M., Carelli, V., Frediani, C., & Petracchi, D. (1975). The self-inhibited leaky integrator: Transfer functions and steady state relations. Biol. Cybern., 20, 51-59.
    • (1975) Biol. Cybern. , vol.20 , pp. 51-59
    • Barbi, M.1    Carelli, V.2    Frediani, C.3    Petracchi, D.4
  • 6
    • 0034243607 scopus 로고    scopus 로고
    • Calculation of interspike intervals for integrate-and-fire neurons with Poisson distribution of synaptic input
    • Burkitt, A. N., & Clark, G. M. (2000). Calculation of interspike intervals for integrate-and-fire neurons with Poisson distribution of synaptic input. Neural Comput., 12, 1789-1820.
    • (2000) Neural Comput. , vol.12 , pp. 1789-1820
    • Burkitt, A.N.1    Clark, G.M.2
  • 8
    • 0032186220 scopus 로고    scopus 로고
    • Linearization of F-I curves by adaptation
    • Ermentrout, E. (1998). Linearization of F-I curves by adaptation. Neural Comput., 10, 1721-1729.
    • (1998) Neural Comput. , vol.10 , pp. 1721-1729
    • Ermentrout, E.1
  • 9
    • 0032539936 scopus 로고    scopus 로고
    • Place cell discharge is extremely variable during individual passes of the rat through the firing field
    • Fenton, A. A., & Muller, R. U. (1998). Place cell discharge is extremely variable during individual passes of the rat through the firing field. Proc. Natl. Acad. Sci., USA, 95, 3182-3187.
    • (1998) Proc. Natl. Acad. Sci., USA , vol.95 , pp. 3182-3187
    • Fenton, A.A.1    Muller, R.U.2
  • 10
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of firing probability of noisy integrate-and-fire neurons
    • Fourcard, N., & Brunel, N. (2002). Dynamics of firing probability of noisy integrate-and-fire neurons. Neural Comput., 14, 2057-2110.
    • (2002) Neural Comput. , vol.14 , pp. 2057-2110
    • Fourcard, N.1    Brunel, N.2
  • 11
    • 0026481824 scopus 로고
    • Universality in neural networks: The importance of the "mean firing rate"
    • Gerstner, W., & van Hemmen, J. L. (1992). Universality in neural networks: The importance of the "mean firing rate". Biol. Cybern., 67, 195-205.
    • (1992) Biol. Cybern. , vol.67 , pp. 195-205
    • Gerstner, W.1    Van Hemmen, J.L.2
  • 13
    • 0030447513 scopus 로고    scopus 로고
    • Point process models of single-neuron discharges
    • Johnson, D. H. (1996). Point process models of single-neuron discharges. J. Comput. Neurosci., 3, 275-300.
    • (1996) J. Comput. Neurosci. , vol.3 , pp. 275-300
    • Johnson, D.H.1
  • 14
    • 0015357448 scopus 로고
    • Dynamics of encoding in a population of neurons
    • Knight, B. W. (1972). Dynamics of encoding in a population of neurons. J. Gen. Physiol., 59, 734-766.
    • (1972) J. Gen. Physiol. , vol.59 , pp. 734-766
    • Knight, B.W.1
  • 15
    • 0023130393 scopus 로고
    • Diffusion approximation of the neuronal model with synaptic reversal potentials
    • Lansky, P., & Lanska V. (1987). Diffusion approximation of the neuronal model with synaptic reversal potentials. Biol. Cybern., 56, 19-26.
    • (1987) Biol. Cybern. , vol.56 , pp. 19-26
    • Lansky, P.1    Lanska, V.2
  • 16
    • 0035796609 scopus 로고    scopus 로고
    • The Ornstein-Uhlenbeck neuronal model with the signal-dependent noise
    • Lansky, P., & Sacerdote, L. (2001). The Ornstein-Uhlenbeck neuronal model with the signal-dependent noise. Physics Letters A, 285, 132-140.
    • (2001) Physics Letters A , vol.285 , pp. 132-140
    • Lansky, P.1    Sacerdote, L.2
  • 17
    • 0029394120 scopus 로고
    • On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity
    • Lansky, P., Sacerdote, L., & Tomassetti, F. (1995). On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. Biol. Cybern., 76, 457-465.
    • (1995) Biol. Cybern. , vol.76 , pp. 457-465
    • Lansky, P.1    Sacerdote, L.2    Tomassetti, F.3
  • 18
    • 0019405994 scopus 로고
    • Voltage oscillations in the barnacle giant muscle fiber
    • Morris, C., & Lecar, H. (1981). Voltage oscillations in the barnacle giant muscle fiber. Biophys. J., 35, 193-213.
    • (1981) Biophys. J. , vol.35 , pp. 193-213
    • Morris, C.1    Lecar, H.2
  • 19
    • 17144442714 scopus 로고    scopus 로고
    • Computation of first passage time moments for stochastic diffusion processes modelling the nerve membrane depolarization
    • Musila, M., Suta, D., & Lansky, P. (1996). Computation of first passage time moments for stochastic diffusion processes modelling the nerve membrane depolarization. Comp. Meth. Prog. Biomed., 49, 19-27.
    • (1996) Comp. Meth. Prog. Biomed. , vol.49 , pp. 19-27
    • Musila, M.1    Suta, D.2    Lansky, P.3
  • 20
    • 0034154761 scopus 로고    scopus 로고
    • An accurate measure of the instantaneous discharge probability, with application to joint-event analysis
    • Pauluis Q., & Baker, S. N. (2000). An accurate measure of the instantaneous discharge probability, with application to joint-event analysis. Neural Comput., 12, 647-669.
    • (2000) Neural Comput. , vol.12 , pp. 647-669
    • Pauluis, Q.1    Baker, S.N.2
  • 22
    • 0018606356 scopus 로고
    • The Ornstein-Uhlenbeck process as a model of neuronal activity
    • Ricciardi, L. M., & Sacerdote, L. (1979). The Ornstein-Uhlenbeck process as a model of neuronal activity. Biol. Cybern., 35, 1-9.
    • (1979) Biol. Cybern. , vol.35 , pp. 1-9
    • Ricciardi, L.M.1    Sacerdote, L.2
  • 23
    • 0003313083 scopus 로고
    • Diffusion processes and first-passage-time problems
    • L. M. Ricciardi (Ed.), Manchester: Manchester University Press
    • Ricciardi, L. M., & Sato, S. (1990). Diffusion processes and first-passage-time problems. In L. M. Ricciardi (Ed.), Lectures in applied mathematics and informatics. Manchester: Manchester University Press.
    • (1990) Lectures in Applied Mathematics and Informatics
    • Ricciardi, L.M.1    Sato, S.2
  • 26
    • 0031184435 scopus 로고    scopus 로고
    • Noise adaptation in integrate-and-fire neurons
    • Rudd, M. E., & Brown, L. G. (1997). Noise adaptation in integrate-and-fire neurons. Neural Comput., 9, 1047-1069.
    • (1997) Neural Comput. , vol.9 , pp. 1047-1069
    • Rudd, M.E.1    Brown, L.G.2
  • 27
    • 0034241699 scopus 로고    scopus 로고
    • Analytical model for the effects of learning on spike count distributions
    • Settanni, G., & Treves, A. (2000). Analytical model for the effects of learning on spike count distributions. Neural Comput., 12, 1773-1788.
    • (2000) Neural Comput. , vol.12 , pp. 1773-1788
    • Settanni, G.1    Treves, A.2
  • 28
    • 36149019489 scopus 로고
    • On the first passage time probability problem
    • Siegert, A.J.F. (1951). On the first passage time probability problem. Phys. Rev., 81, 617-623.
    • (1951) Phys. Rev. , vol.81 , pp. 617-623
    • Siegert, A.J.F.1
  • 29
    • 0033109861 scopus 로고    scopus 로고
    • Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli
    • Treves, A., Panzeri, S., Rolls, E. T., Booth, M., & Wakeman E. A. (1999). Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli. Neural Comput., 11, 601-632.
    • (1999) Neural Comput. , vol.11 , pp. 601-632
    • Treves, A.1    Panzeri, S.2    Rolls, E.T.3    Booth, M.4    Wakeman, E.A.5
  • 31
    • 0035380719 scopus 로고    scopus 로고
    • Rate coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex
    • Van Rullen, R., & Thorpe, S. J. (2001). Rate coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex. Neural Comput., 13, 1255-1284.
    • (2001) Neural Comput. , vol.13 , pp. 1255-1284
    • Van Rullen, R.1    Thorpe, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.