메뉴 건너뛰기




Volumn , Issue FEB, 2011, Pages

Finite post synaptic potentials cause a fast neuronal response

Author keywords

Diffusion approximation; Leaky integrate and fire model; Non linear response; Perfect integrator; Shot noise

Indexed keywords

ACTION POTENTIAL; ARTIFACT; AUDITORY CORTEX; CELL COMMUNICATION; EXCITATORY POSTSYNAPTIC POTENTIAL; MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE POTENTIAL; NONLINEAR SYSTEM; POSTSYNAPTIC POTENTIAL; REVIEW; SIGNAL NOISE RATIO; SIMULATION; SPIKE; STOCHASTIC MODEL; SYNAPTIC TRANSMISSION; THEORETICAL MODEL; VISUAL CORTEX;

EID: 81555207064     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2011.00019     Document Type: Review
Times cited : (8)

References (85)
  • 1
    • 22244458151 scopus 로고
    • Asynchronous states in networks of pulse-coupled oscillators
    • Abbott, L. F., and van Vreeswijk, C. (1993). Asynchronous states in networks of pulse-coupled oscillators. Phys. Rev. E 48, 1483-1490.
    • (1993) Phys. Rev. E , vol.48 , pp. 1483-1490
    • Abbott, L.F.1    van Vreeswijk, C.2
  • 2
    • 0003031386 scopus 로고
    • Dynamics of activity in neuronal networks give rise to fast modula-tions of functional connectivity
    • eds R. Eckmiller, G. Hartmann, and G. Hauske (Amsterdam: Elsevier)
    • Boven, K.-H., and Aertsen, A. (1990). "Dynamics of activity in neuronal networks give rise to fast modula-tions of functional connectivity,"in Parallel Processing in Neural Systems and Computers, eds R. Eckmiller, G. Hartmann, and G. Hauske (Amsterdam: Elsevier), 53-56.
    • (1990) Parallel Processing in Neural Systems and Computers , pp. 53-56
    • Boven, K.-H.1    Aertsen, A.2
  • 4
    • 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
  • 5
    • 6644226801 scopus 로고    scopus 로고
    • Effects of synaptic noise and filtering on the frequency response of spiking neurons
    • Brunel, N., Chance, F. S., Fourcaud, N., and Abbott, L. F. (2001). Effects of synaptic noise and filtering on the frequency response of spiking neurons. Phys. Rev. Lett. 86, 2186-2189.
    • (2001) Phys. Rev. Lett. , vol.86 , pp. 2186-2189
    • Brunel, N.1    Chance, F.S.2    Fourcaud, N.3    Abbott, L.F.4
  • 6
    • 0033210816 scopus 로고    scopus 로고
    • Fast global oscillations in networks of integrate-and-fire neurons with low firing rates
    • Brunel, N., and Hakim, V. (1999). Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comput. 11, 1621-1671.
    • (1999) Neural Comput , vol.11 , pp. 1621-1671
    • Brunel, N.1    Hakim, V.2
  • 7
    • 40749088917 scopus 로고    scopus 로고
    • Lapicque's 1907 paper: from frogs to integrate-and-fire
    • Brunel, N., and van Rossum, M. C. W. (2007). Lapicque's 1907 paper: from frogs to integrate-and-fire. Biol. Cybern. 97, 337-339.
    • (2007) Biol. Cybern. , vol.97 , pp. 337-339
    • Brunel, N.1    van Rossum, M.C.W.2
  • 8
    • 38349142170 scopus 로고    scopus 로고
    • Efficient evaluation of neuron popula-tions receiving colored-noise current based on a refractory density method
    • Chizhov, A. V., and Graham, L. J. (2008). Efficient evaluation of neuron popula-tions receiving colored-noise current based on a refractory density method. Phys. Rev. E 77, 011910.
    • (2008) Phys. Rev. E , vol.77 , pp. 011910
    • Chizhov, A.V.1    Graham, L.J.2
  • 10
    • 0018701316 scopus 로고
    • Firing rates of neurons with random excitation and inhibition
    • Cope, D. K., and Tuckwell, H. C. (1979). Firing rates of neurons with random excitation and inhibition. J. Theor. Biol. 80, 1-14.
    • (1979) J. Theor. Biol. , vol.80 , pp. 1-14
    • Cope, D.K.1    Tuckwell, H.C.2
  • 12
    • 0042827510 scopus 로고    scopus 로고
    • A simple and stable numerical solution for the population density equation
    • De Kamps, M. (2003). A simple and stable numerical solution for the population density equation. Neural Comput. 15, 2129-2146.
    • (2003) Neural Comput , vol.15 , pp. 2129-2146
    • De Kamps, M.1
  • 13
    • 34547928124 scopus 로고    scopus 로고
    • Correlation between neural spike trains increases with firing rate
    • De la Rocha, J., Doiron, B., Shea-Brown, E., Kresimir, J., and Reyes, A. (2007). Correlation between neural spike trains increases with firing rate. Nature 448, 802-807.
    • (2007) Nature , vol.448 , pp. 802-807
    • De la Rocha, J.1    Doiron, B.2    Shea-Brown, E.3    Kresimir, J.4    Reyes, A.5
  • 14
    • 33751309853 scopus 로고    scopus 로고
    • Non-gaussian membrane potential dynamics imply sparse, synchronous activity in auditory cortex
    • DeWeese, M. R., and Zador, A. M. (2006). Non-gaussian membrane potential dynamics imply sparse, synchronous activity in auditory cortex. J. Neurosci. 26, 12206-12218.
    • (2006) J. Neurosci. , vol.26 , pp. 12206-12218
    • DeWeese, M.R.1    Zador, A.M.2
  • 15
    • 0027485141 scopus 로고
    • Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance
    • Douglass, J. K., Wilkens, L., Pantazelou, E., and Moss, F. (1993). Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance. Nature 365, 337-340.
    • (1993) Nature , vol.365 , pp. 337-340
    • Douglass, J.K.1    Wilkens, L.2    Pantazelou, E.3    Moss, F.4
  • 17
    • 0020642933 scopus 로고
    • Relation between shapes of postsynaptic potentials and changes in firing probability of cat motoneurones
    • Fetz, E., and Gustafsson, B. (1983). Relation between shapes of postsynaptic potentials and changes in firing probability of cat motoneurones. J. Physiol. (Lond.) 341, 387-410.
    • (1983) J. Physiol. (Lond.) , vol.341 , pp. 387-410
    • Fetz, E.1    Gustafsson, B.2
  • 18
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of the firing probability of noisy integrate-and-fire neurons
    • Fourcaud, N., and Brunel, N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput. 14, 2057-2110.
    • (2002) Neural Comput , vol.14 , pp. 2057-2110
    • Fourcaud, N.1    Brunel, N.2
  • 19
    • 0347694858 scopus 로고    scopus 로고
    • How spike generation mechanisms determine the neuronal response to fluctuating inputs
    • Fourcaud-Trocmé, N., Hansel, D., van Vreeswijk, C., and Brunel(2003). How spike generation mechanisms determine the neuronal response to fluctuating inputs. J. Neurosci. 23, 11628-11640.
    • (2003) J. Neurosci. , vol.23 , pp. 11628-11640
    • Fourcaud-Trocmé, N.1    Hansel, D.2    van Vreeswijk, C.3    Brunel4
  • 20
    • 0033110047 scopus 로고    scopus 로고
    • Collective behavior of networks with linear (vsli) integrate-and-fire neurons
    • Fusi, S., and Mattia, M. (1999). Collective behavior of networks with linear (vsli) integrate-and-fire neurons. Neural Comput. 11, 633-652.
    • (1999) Neural Comput , vol.11 , pp. 633-652
    • Fusi, S.1    Mattia, M.2
  • 21
    • 34248390965 scopus 로고    scopus 로고
    • Responses of neurons in primary visual cortex to transient changes in local contrast and lumi-nance
    • Geisler, W. S., Albrecht, D. G., and Crane, A. M. (2007). Responses of neurons in primary visual cortex to transient changes in local contrast and lumi-nance. J. Neurosci. 27, 5063-5067.
    • (2007) J. Neurosci. , vol.27 , pp. 5063-5067
    • Geisler, W.S.1    Albrecht, D.G.2    Crane, A.M.3
  • 22
    • 0002338948 scopus 로고
    • Random walk models for the spike activity of a single neuron
    • Gerstein, G. L., and Mandelbrot, B. (1964). Random walk models for the spike activity of a single neuron. Biophys. J. 71, 41-68.
    • (1964) Biophys. J. , vol.71 , pp. 41-68
    • Gerstein, G.L.1    Mandelbrot, B.2
  • 23
    • 0033630628 scopus 로고    scopus 로고
    • Population dynam-ics of spiking neurons: fast transients, asynchronous states, and locking
    • Gerstner, W. (2000). Population dynam-ics of spiking neurons: fast transients, asynchronous states, and locking. Neural Comput. 12, 43-89.
    • (2000) Neural Comput , vol.12 , pp. 43-89
    • Gerstner, W.1
  • 24
    • 43949092150 scopus 로고    scopus 로고
    • NEST (NEural simulation tool)
    • Gewaltig, M.-O., and Diesmann, M. (2007). NEST (NEural simulation tool). Scholarpedia 2, 1430.
    • (2007) Scholarpedia , vol.2 , pp. 1430
    • Gewaltig, M.-O.1    Diesmann, M.2
  • 25
    • 68949211777 scopus 로고    scopus 로고
    • Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works I. Input selectivity - strength-ening correlated input pathways
    • Gilson, M., Burkitt, A. N., Grayden, D. B., Thomas, D. A., and van Hemmen, J. L. (2009a). Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works. I. Input selectivity - strength-ening correlated input pathways. Biol. Cybern. 101, 81-102.
    • (2009) Biol. Cybern. , vol.101 , pp. 81-102
    • Gilson, M.1    Burkitt, A.N.2    Grayden, D.B.3    Thomas, D.A.4    van Hemmen, J.L.5
  • 26
    • 68949214346 scopus 로고    scopus 로고
    • Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works II. Input selectivity - symmetry breaking
    • Gilson, M., Burkitt, A. N., Grayden, D. B., Thomas, D. A., and van Hemmen, J. L. (2009b). Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works. II. Input selectivity - symmetry breaking. Biol. Cybern. 101, 103-114.
    • (2009) Biol. Cybern. , vol.101 , pp. 103-114
    • Gilson, M.1    Burkitt, A.N.2    Grayden, D.B.3    Thomas, D.A.4    van Hemmen, J.L.5
  • 27
    • 72149130262 scopus 로고    scopus 로고
    • Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works III Partially connected neurons driven by spontaneous activity
    • Gilson, M., Burkitt, A. N., Grayden, D. B., Thomas, D. A., and van Hemmen, J. L. (2009c). Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works III. Partially connected neurons driven by spontaneous activity. Biol. Cybern. 101, 411-426.
    • (2009) Biol. Cybern. , vol.101 , pp. 411-426
    • Gilson, M.1    Burkitt, A.N.2    Grayden, D.B.3    Thomas, D.A.4    van Hemmen, J.L.5
  • 28
    • 72149124488 scopus 로고    scopus 로고
    • Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works IV Structuring synaptic path-ways among recurrent connections
    • Gilson, M., Burkitt, A. N., Grayden, D. B., Thomas, D. A., and van Hemmen, J. L. (2009d). Emergence of network struc-ture due to spike-timing-dependent plasticity in recurrent neuronal net-works IV. Structuring synaptic path-ways among recurrent connections. Biol. Cybern. 101, 427-444.
    • (2009) Biol. Cybern. , vol.101 , pp. 427-444
    • Gilson, M.1    Burkitt, A.N.2    Grayden, D.B.3    Thomas, D.A.4    van Hemmen, J.L.5
  • 29
    • 45749143600 scopus 로고    scopus 로고
    • The mechanism of synchronization in feed-forward neuronal networks
    • Goedeke, S., and Diesmann, M. (2008). The mechanism of synchronization in feed-forward neuronal networks. New J. Phys. 10, 015007.
    • (2008) New J. Phys. , vol.10 , pp. 015007
    • Goedeke, S.1    Diesmann, M.2
  • 30
    • 14644401814 scopus 로고    scopus 로고
    • Disentangling sub-millisecond proc-esses within an auditory transduction chain
    • doi: 10.1371/journal.pbio.0030008
    • Gollisch, T., and Herz, A. V. M. (2005). Disentangling sub-millisecond proc-esses within an auditory transduction chain. PLoS Comput. Biol. 3, e8. doi: 10.1371/journal.pbio.0030008
    • (2005) PLoS Comput. Biol. , vol.3
    • Gollisch, T.1    Herz, A.V.M.2
  • 31
    • 4243620953 scopus 로고
    • First- passage time problems for non- Markovian processes
    • Hanggi, P., and Talkner, P. (1985). First- passage time problems for non- Markovian processes. Phys. Rev. A 32, 1934-1937.
    • (1985) Phys. Rev. A , vol.32 , pp. 1934-1937
    • Hanggi, P.1    Talkner, P.2
  • 32
    • 0032519099 scopus 로고    scopus 로고
    • On numerical simulations of integrate-and-fire neural networks
    • Hansel, D., Mato, G., Meunier, C., and Neltner, L. (1998). On numerical simulations of integrate-and-fire neural networks. Neural Comput. 10, 467-483.
    • (1998) Neural Comput , vol.10 , pp. 467-483
    • Hansel, D.1    Mato, G.2    Meunier, C.3    Neltner, L.4
  • 33
    • 79958294115 scopus 로고    scopus 로고
    • A general and efficient method for incorporat-ing precise spike times in globally time-driven simulations Front
    • doi: 10.3389/fninf.2010.00113
    • Hanuschkin, A., Kunkel, S., Morrison, A., and Diesmann, M. (2010). A general and efficient method for incorporat-ing precise spike times in globally time-driven simulations. Front. Neuroinform. 4:113. doi: 10.3389/fninf.2010.00113
    • (2010) Neuroinform , vol.4 , pp. 113
    • Hanuschkin, A.1    Kunkel, S.2    Morrison, A.3    Diesmann, M.4
  • 35
    • 78049438383 scopus 로고    scopus 로고
    • Equilibrium and response properties of the integrate- and-fire neuron in discrete time
    • doi: 10.3389/neuro.10.029.2009
    • Helias, M., Deger, M., Diesmann, M., and Rotter, S. (2010). Equilibrium and response properties of the integrate- and-fire neuron in discrete time. Front. Comput. Neurosci. 3:29. doi: 10.3389/neuro.10.029.2009
    • (2010) Front. Comput. Neurosci. , vol.3 , pp. 29
    • Helias, M.1    Deger, M.2    Diesmann, M.3    Rotter, S.4
  • 36
    • 78049437495 scopus 로고    scopus 로고
    • Instantaneous non-linear processing by pulse-cou-pled threshold units
    • doi: 10.1371/journal. pcbi.1000929
    • Helias, M., Deger, M., Rotter, S., and Diesmann, M. (2010a). Instantaneous non-linear processing by pulse-cou-pled threshold units. PLoS Comput. Biol. 6, e1000929. doi: 10.1371/journal. pcbi.1000929
    • (2010) PLoS Comput. Biol. , vol.6
    • Helias, M.1    Deger, M.2    Rotter, S.3    Diesmann, M.4
  • 38
    • 67349159604 scopus 로고    scopus 로고
    • Structural plasticity controlled by calcium based correlation detection
    • doi: 10.3389/neuro.10.007.2008
    • Helias, M., Rotter, S., Gewaltig, M., and Diesmann, M. (2008). Structural plasticity controlled by calcium based correlation detection. Front. Comput. Neurosci. 2:7. doi: 10.3389/neuro.10.007.2008
    • (2008) Front. Comput. Neurosci. , vol.2 , pp. 7
    • Helias, M.1    Rotter, S.2    Gewaltig, M.3    Diesmann, M.4
  • 39
    • 0035680305 scopus 로고    scopus 로고
    • Noise and the psth response to cur-rent transients: I. general theory and application to the integrate-and-fire neuron
    • Herrmann, A., and Gerstner, W. (2001). Noise and the psth response to cur-rent transients: I. general theory and application to the integrate-and-fire neuron. J. Comput. Neurosci. 11, 135-151.
    • (2001) J. Comput. Neurosci. , vol.11 , pp. 135-151
    • Herrmann, A.1    Gerstner, W.2
  • 40
    • 77649294393 scopus 로고    scopus 로고
    • Cross-correlations in high-conductance states of a model cortical network
    • Hertz, J. (2010). Cross-correlations in high-conductance states of a model cortical network. Neural Comput. 22, 427-447.
    • (2010) Neural Comput , vol.22 , pp. 427-447
    • Hertz, J.1
  • 41
    • 33749595018 scopus 로고    scopus 로고
    • Modeling single-neuron dynamics and compu-tations: a balance of detail and abstrac-tion
    • Herz, A. V. M., Gollisch, T., Machens, C. K., and Jaeger, D. (2006). Modeling single-neuron dynamics and compu-tations: a balance of detail and abstrac-tion. Science 314, 80-84.
    • (2006) Science , vol.314 , pp. 80-84
    • Herz, A.V.M.1    Gollisch, T.2    Machens, C.K.3    Jaeger, D.4
  • 42
    • 34447565928 scopus 로고    scopus 로고
    • Exit times for a class of piecewise exponential markov processes with two-sided jumps
    • Jacobsen, M., and Jensen, A. T. (2007). Exit times for a class of piecewise exponential markov processes with two-sided jumps. Stoch. Proc. Appl. 117, 1330-1356.
    • (2007) Stoch. Proc. Appl. , vol.117 , pp. 1330-1356
    • Jacobsen, M.1    Jensen, A.T.2
  • 43
    • 0002525530 scopus 로고
    • Diffusion models for the stochastic activity of neu-rons
    • June 1967 ed. E. R. Caianiello (Berlin: Springer-Verlag)
    • Johannesma, P. I. M. (1968). "Diffusion models for the stochastic activity of neu-rons,"in Neural Networks: Proceedings of the School on Neural Networks Ravello, June 1967 ed. E. R. Caianiello (Berlin: Springer-Verlag), 116-144.
    • (1968) Neural Networks: Proceedings of the School on Neural Networks Ravello , pp. 116-144
    • Johannesma, P.I.M.1
  • 45
    • 0000442118 scopus 로고    scopus 로고
    • Hebbian learn-ing and spiking neurons
    • Kempter, R., Gerstner, W., and van Hemmen, J. L. (1999). Hebbian learn-ing and spiking neurons. Phys. Rev. E 59, 4498-4514.
    • (1999) Phys. Rev. E , vol.59 , pp. 4498-4514
    • Kempter, R.1    Gerstner, W.2    van Hemmen, J.L.3
  • 46
    • 0015357448 scopus 로고
    • Dynamics of encod-ing in a population of neurons
    • Knight, B. W. (1972). Dynamics of encod-ing in a population of neurons. J. Gen. Physiol. 59, 734-766.
    • (1972) J. Gen. Physiol. , vol.59 , pp. 734-766
    • Knight, B.W.1
  • 47
    • 0017486356 scopus 로고
    • Correlation analysis of stimulus- evoked changes in excitability of spontaneously firing neurons
    • Knox, C. K., and Poppele, R. E. (1977). Correlation analysis of stimulus- evoked changes in excitability of spontaneously firing neurons. J. Neurophysiol. 40, 616-625.
    • (1977) J. Neurophysiol. , vol.40 , pp. 616-625
    • Knox, C.K.1    Poppele, R.E.2
  • 48
    • 4344670177 scopus 로고    scopus 로고
    • Minimal models of adapted neuronal response to in vivo-like input currents
    • La Camera, G., Rauch, A., Luscher, H., Senn, W., and Fusi, S. (2004). Minimal models of adapted neuronal response to in vivo-like input currents. Neural Comput. 10, 2101-2124.
    • (2004) Neural Comput , vol.10 , pp. 2101-2124
    • La Camera, G.1    Rauch, A.2    Luscher, H.3    Senn, W.4    Fusi, S.5
  • 49
    • 0021279321 scopus 로고
    • On approximation of stein's neuronal model
    • Lánský, P. (1984). On approximation of stein's neuronal model. J. Theor. Biol. 107, 631-647.
    • (1984) J. Theor. Biol. , vol.107 , pp. 631-647
    • Lánský, P.1
  • 50
    • 0035796609 scopus 로고    scopus 로고
    • The ornstein-uhlenbeck neuronal model with signal-dependent noise
    • Lansky, P., and Sacerdote, L. (2001). The ornstein-uhlenbeck neuronal model with signal-dependent noise. Phys. Lett. A 285, 132-140.
    • (2001) Phys. Lett. A , vol.285 , pp. 132-140
    • Lansky, P.1    Sacerdote, L.2
  • 51
    • 0001127901 scopus 로고
    • Recherches quanti-tatives sur l'excitation electrique des nerfs traitee comme une polarization
    • Lapicque, L. (1907). Recherches quanti-tatives sur l'excitation electrique des nerfs traitee comme une polarization. J. Physiol. Pathol. Gen. 9, 620-635.
    • (1907) J. Physiol. Pathol. Gen. , vol.9 , pp. 620-635
    • Lapicque, L.1
  • 52
    • 0029978336 scopus 로고    scopus 로고
    • Broadband neural encoding in the cricket cereal sensory system enhanced by stochastic resonance
    • Levin, J. E., and Miller, J. P. (1996). Broadband neural encoding in the cricket cereal sensory system enhanced by stochastic resonance. Nature 380, 165-168.
    • (1996) Nature , vol.380 , pp. 165-168
    • Levin, J.E.1    Miller, J.P.2
  • 53
    • 0035794252 scopus 로고    scopus 로고
    • Transmission of noise coded versus additive signals through a neuronal ensemble
    • Lindner, B., and Schimansky-Geier, L. (2001). Transmission of noise coded versus additive signals through a neuronal ensemble. Phys. Rev. Lett. 86, 2934-2937.
    • (2001) Phys. Rev. Lett. , vol.86 , pp. 2934-2937
    • Lindner, B.1    Schimansky-Geier, L.2
  • 54
    • 77954231844 scopus 로고    scopus 로고
    • Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cor-tex
    • London, M., Roth, A., Beeren, L., Häusser, M., and Latham, P. E. (2010). Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cor-tex. Nature 466, 123-128.
    • (2010) Nature , vol.466 , pp. 123-128
    • London, M.1    Roth, A.2    Beeren, L.3    Häusser, M.4    Latham, P.E.5
  • 56
    • 85036133906 scopus 로고    scopus 로고
    • Population dynamics of interacting spiking neurons
    • Mattia, M., and Del Guidice, P. (2002). Population dynamics of interacting spiking neurons. Phys. Rev. E 66, 051917.
    • (2002) Phys. Rev. E , vol.66 , pp. 051917
    • Mattia, M.1    Del Guidice, P.2
  • 57
    • 41349123474 scopus 로고    scopus 로고
    • Finite-size dynamics of inhibitory and excitatory interacting spiking neurons
    • Mattia, M., and Del Guidice, P. (2004). Finite-size dynamics of inhibitory and excitatory interacting spiking neurons. Phys. Rev. E 70, 052903.
    • (2004) Phys. Rev. E , vol.70 , pp. 052903
    • Mattia, M.1    Del Guidice, P.2
  • 59
    • 77949560003 scopus 로고    scopus 로고
    • Homeostatic regu-lation of neuronal excitability by k+ channels in normal and diseased brains
    • Misonou, H. (2010). Homeostatic regu-lation of neuronal excitability by k+ channels in normal and diseased brains. Neuroscientist 16, 51-64.
    • (2010) Neuroscientist , vol.16 , pp. 51-64
    • Misonou, H.1
  • 60
    • 32644485094 scopus 로고    scopus 로고
    • Auto- and crosscorrelograms for the spike response of leaky integrate-and- fire neurons with slow synapses
    • Moreno-Bote, R., and Parga, N. (2006). Auto- and crosscorrelograms for the spike response of leaky integrate-and- fire neurons with slow synapses. Phys. Rev. Lett. 96, 028101.
    • (2006) Phys. Rev. Lett. , vol.96 , pp. 028101
    • Moreno-Bote, R.1    Parga, N.2
  • 61
    • 35548937297 scopus 로고    scopus 로고
    • Maintaining causality in discrete time neuronal network simulations in Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks
    • eds P. Beim Graben, C. Zhou, M. Thiel, and J Kurths (Berlin: Springer)
    • Morrison, A., and Diesmann, M. (2008). "Maintaining causality in discrete time neuronal network simulations,"in Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks, Understanding Complex Systems, eds P. Beim Graben, C. Zhou, M. Thiel, and J. Kurths (Berlin: Springer), 267-278.
    • (2008) Understanding Complex Systems , pp. 267-278
    • Morrison, A.1    Diesmann, M.2
  • 62
    • 43949102027 scopus 로고    scopus 로고
    • Phenomenological models of synaptic plasticity based on spike- timing
    • Morrison, A., Diesmann, M., and Gerstner, W. (2008). Phenomenological models of synaptic plasticity based on spike- timing. Biol. Cybern. 98, 459-478.
    • (2008) Biol. Cybern. , vol.98 , pp. 459-478
    • Morrison, A.1    Diesmann, M.2    Gerstner, W.3
  • 63
    • 33846013910 scopus 로고    scopus 로고
    • Exact sub-threshold integration with continu-ous spike times in discrete time neural network simulations
    • Morrison, A., Straube, S., Plesser, H. E., and Diesmann, M. (2007). Exact sub-threshold integration with continu-ous spike times in discrete time neural network simulations. Neural Comput. 19, 47-79.
    • (2007) Neural Comput , vol.19 , pp. 47-79
    • Morrison, A.1    Straube, S.2    Plesser, H.E.3    Diesmann, M.4
  • 64
    • 18144427154 scopus 로고    scopus 로고
    • Action potential onset dynam-ics and the response speed of neuronal populations
    • Naundorf, B., Geisel, T., and Wolf, F. (2005). Action potential onset dynam-ics and the response speed of neuronal populations. J. Comput. Neurosci. 18, 297-309.
    • (2005) J. Comput. Neurosci. , vol.18 , pp. 297-309
    • Naundorf, B.1    Geisel, T.2    Wolf, F.3
  • 65
    • 0034083940 scopus 로고    scopus 로고
    • On the simulation of large populations of neurons
    • Omurtag, A., Knight, B. W., and Sirovich, L. (2000). On the simulation of large populations of neurons. J. Comput. Neurosci. 8, 51-63.
    • (2000) J. Comput. Neurosci. , vol.8 , pp. 51-63
    • Omurtag, A.1    Knight, B.W.2    Sirovich, L.3
  • 66
    • 0035053796 scopus 로고    scopus 로고
    • Impact of active dendrites and structural plasticity on the memory capacity of neural tissue
    • Poirazi, P., and Mel, B. W. (2001). Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. Neuron 29, 779-796.
    • (2001) Neuron , vol.29 , pp. 779-796
    • Poirazi, P.1    Mel, B.W.2
  • 67
    • 49649123252 scopus 로고    scopus 로고
    • Internal brain state regulates mem-brane potential synchrony in barrel cortex of behaving mice
    • Poulet, J., and Petersen, C. (2008). Internal brain state regulates mem-brane potential synchrony in barrel cortex of behaving mice. Nature 454, 881-885.
    • (2008) Nature , vol.454 , pp. 881-885
    • Poulet, J.1    Petersen, C.2
  • 68
    • 0141565240 scopus 로고    scopus 로고
    • Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo like input currents
    • Rauch, A., La Camera, G., Lüscher, H., Senn, W., and Fusi, S. (2003). Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo like input currents. J. Neurophysiol. 90, 1598-1612.
    • (2003) J. Neurophysiol. , vol.90 , pp. 1598-1612
    • Rauch, A.1    La Camera, G.2    Lüscher, H.3    Senn, W.4    Fusi, S.5
  • 70
    • 0001571879 scopus 로고    scopus 로고
    • An out-line of theoretical and algorithmic approaches to first passage time problems with applications to bio-logical modeling
    • Ricciardi, L. M., Di Crescenzo, A., Giorno, V., and Nobile, A. G. (1999). An out-line of theoretical and algorithmic approaches to first passage time problems with applications to bio-logical modeling. Math. Japonica 50, 247-322.
    • (1999) Math. Japonica , vol.50 , pp. 247-322
    • Ricciardi, L.M.1    Di Crescenzo, A.2    Giorno, V.3    Nobile, A.G.4
  • 71
    • 0018606356 scopus 로고
    • The Ornstein-Uhlenbeck process as a model for neuronal activity
    • Ricciardi, L. M., and Sacerdote, L. (1979). The Ornstein-Uhlenbeck process as a model for neuronal activity. Biol. Cybern. 35, 1-9.
    • (1979) Biol. Cybern. , vol.35 , pp. 1-9
    • Ricciardi, L.M.1    Sacerdote, L.2
  • 72
    • 34548099438 scopus 로고    scopus 로고
    • Firing-rate response of linear and nonlinear integrate-and-fire neurons to modu-lated current-based and conductance- based synaptic drive
    • Richardson, M. J. E. (2007). Firing-rate response of linear and nonlinear integrate-and-fire neurons to modu-lated current-based and conductance- based synaptic drive. Phys. Rev. E 76, 1-15.
    • (2007) Phys. Rev. E , vol.76 , pp. 1-15
    • Richardson, M.J.E.1
  • 73
    • 56449130455 scopus 로고    scopus 로고
    • Spike- train spectra and network response functions for non-linear integrate- and-fire neurons
    • Richardson, M. J. E. (2008). Spike- train spectra and network response functions for non-linear integrate- and-fire neurons. Biol. Cybern. 99, 381-392.
    • (2008) Biol. Cybern. , vol.99 , pp. 381-392
    • Richardson, M.J.E.1
  • 74
    • 77958128002 scopus 로고    scopus 로고
    • Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise
    • Richardson, M. J. E., and Swarbrick, R. (2010). Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise. Phys. Rev. Lett. 105, 178102.
    • (2010) Phys. Rev. Lett. , vol.105 , pp. 178102
    • Richardson, M.J.E.1    Swarbrick, R.2
  • 76
    • 79958262262 scopus 로고    scopus 로고
    • Mechanisms that modulate the trans-fer of spiking correlations
    • doi:10.1162/NECO_a_00116. [Epub ahead of print]
    • Rosenbaum, R., and Josić, K. (2011). Mechanisms that modulate the trans-fer of spiking correlations. Neural Comput. doi:10.1162/NECO_a_00116. [Epub ahead of print].
    • (2011) Neural Comput
    • Rosenbaum, R.1    Josić, K.2
  • 77
    • 40849098607 scopus 로고    scopus 로고
    • Correlation and synchrony transfer in integrate- and-fire neurons: basic properties and consequences for coding
    • Shea-Brown, E., Josic, K., de la Rocha, J., and Doiron, B. (2008). Correlation and synchrony transfer in integrate- and-fire neurons: basic properties and consequences for coding. Phys. Rev. Lett. 100, 108102.
    • (2008) Phys. Rev. Lett. , vol.100 , pp. 108102
    • Shea-Brown, E.1    Josic, K.2    de la Rocha, J.3    Doiron, B.4
  • 78
    • 0035683779 scopus 로고    scopus 로고
    • Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks
    • Shelley, M. J., and Tao, L. (2001). Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks. J. Comput. Neurosci. 11, 111-119.
    • (2001) J. Comput. Neurosci. , vol.11 , pp. 111-119
    • Shelley, M.J.1    Tao, L.2
  • 79
    • 36149019489 scopus 로고
    • On the first passage time probability problem
    • Siegert, A. J. (1951). On the first passage time probability problem. Phys. Rev. 81, 617-623.
    • (1951) Phys. Rev. , vol.81 , pp. 617-623
    • Siegert, A.J.1
  • 81
    • 0346847618 scopus 로고    scopus 로고
    • Dynamics of neu-ronal populations: eigenfunction theory; some solvable cases
    • Sirovich, L. (2003). Dynamics of neu-ronal populations: eigenfunction theory; some solvable cases. Network 14, 249-272.
    • (2003) Network , vol.14 , pp. 249-272
    • Sirovich, L.1
  • 82
    • 0034479938 scopus 로고    scopus 로고
    • Dynamics of neuronal populations: the equilibrium solution
    • Sirovich, L., Omurtag, A., and Knight, B. W. (2000). Dynamics of neuronal populations: the equilibrium solution. SIAM J. Appl. Math. 60, 2009-2028.
    • (2000) SIAM J. Appl. Math. , vol.60 , pp. 2009-2028
    • Sirovich, L.1    Omurtag, A.2    Knight, B.W.3
  • 83
    • 11844290435 scopus 로고
    • A theoretical analysis of neuronal variability
    • Stein, R. B. (1965). A theoretical analysis of neuronal variability. Biophys. J. 5, 173-194.
    • (1965) Biophys. J. , vol.5 , pp. 173-194
    • Stein, R.B.1
  • 84
    • 0037706879 scopus 로고    scopus 로고
    • The spread of rate and correlation in stationary cortical networks
    • Tetzlaff, T., Buschermöhle, M., Geisel, T., and Diesmann, M. (2003). The spread of rate and correlation in stationary cortical networks. Neurocomputing 52-54, 949-954.
    • (2003) Neurocomputing , pp. 52-54
    • Tetzlaff, T.1    Buschermöhle, M.2    Geisel, T.3    Diesmann, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.