메뉴 건너뛰기




Volumn 230, Issue 4, 2011, Pages 1084-1099

A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics

Author keywords

Chang Cooper method; Deterministic simulations; Direct simulation Monte Carlo; Fokker Planck equation; Kinetic equations; Neuronal network; WENO methods

Indexed keywords

COMPUTATION THEORY; DISTRIBUTION FUNCTIONS; INTELLIGENT SYSTEMS; KINETIC ENERGY; KINETIC THEORY; KINETICS; MONTE CARLO METHODS; NEURAL NETWORKS; NEURONS; NONLINEAR EQUATIONS; NUMERICAL METHODS; PROBABILITY DENSITY FUNCTION;

EID: 78650564252     PISSN: 00219991     EISSN: 10902716     Source Type: Journal    
DOI: 10.1016/j.jcp.2010.10.027     Document Type: Article
Times cited : (46)

References (58)
  • 1
    • 22244458151 scopus 로고
    • Asynchronous states in networks of pulse-coupled oscillators
    • Abbott L., van Vreeswijk C. Asynchronous states in networks of pulse-coupled oscillators. Phys. Rev. E 1993, 48:1483-1490.
    • (1993) Phys. Rev. E , vol.48 , pp. 1483-1490
    • Abbott, L.1    van Vreeswijk, C.2
  • 2
    • 42749100321 scopus 로고    scopus 로고
    • The noisy Fitzhugh-Nagumo model: from single elements to globally coupled networks
    • Acebrón J.A., Bulsara A.R., Rappel W.-J. The noisy Fitzhugh-Nagumo model: from single elements to globally coupled networks. Phys. Rev. E 2004, 69:026202.
    • (2004) Phys. Rev. E , vol.69 , pp. 026202
    • Acebrón, J.A.1    Bulsara, A.R.2    Rappel, W.-J.3
  • 3
    • 67649841879 scopus 로고    scopus 로고
    • The encoding of alternatives in multiple-choice decision making
    • Albantakis L., Deco G. The encoding of alternatives in multiple-choice decision making. Proc. Natl. Acad. Sci. USA 2009, 106(25):10308-10313.
    • (2009) Proc. Natl. Acad. Sci. USA , vol.106 , Issue.25 , pp. 10308-10313
    • Albantakis, L.1    Deco, G.2
  • 4
    • 0034623811 scopus 로고    scopus 로고
    • The contribution of noise to contrast invariance of orientation tuning in cat visual cortex
    • Anderson J., Lampl I., Gillespie D., Ferster D. The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science 2000, 290:1968-1972.
    • (2000) Science , vol.290 , pp. 1968-1972
    • Anderson, J.1    Lampl, I.2    Gillespie, D.3    Ferster, D.4
  • 5
    • 33845394008 scopus 로고    scopus 로고
    • Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods
    • Apfaltrer F., Ly C., Tranchina D. Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods. Network: Comp. Neural Syst. 2006, 17:373-418.
    • (2006) Network: Comp. Neural Syst. , vol.17 , pp. 373-418
    • Apfaltrer, F.1    Ly, C.2    Tranchina, D.3
  • 6
    • 0032193916 scopus 로고    scopus 로고
    • Statistical model of the hippocampal ca3 region, ii. the population framework: model of rhythmic activity in ca3 slice
    • Barna G., Grobler T., Erdi P. Statistical model of the hippocampal ca3 region, ii. the population framework: model of rhythmic activity in ca3 slice. Biol. Cybern. 1998, 79:309-321.
    • (1998) Biol. Cybern. , vol.79 , pp. 309-321
    • Barna, G.1    Grobler, T.2    Erdi, P.3
  • 7
    • 0031256922 scopus 로고    scopus 로고
    • Asymptotic behavior of an initial-boundary value problem for the Vlasov-Poisson-Fokker-Planck system
    • Bonilla L.L., Carrillo J.A., Soler J. Asymptotic behavior of an initial-boundary value problem for the Vlasov-Poisson-Fokker-Planck system. SIAM J. Appl. Math. 1997, 57(5):1343-1372.
    • (1997) SIAM J. Appl. Math. , vol.57 , Issue.5 , pp. 1343-1372
    • Bonilla, L.L.1    Carrillo, J.A.2    Soler, J.3
  • 8
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking networks
    • Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking networks. J. Comp. Neurosci. 2000, 8:183-208.
    • (2000) J. Comp. Neurosci. , vol.8 , pp. 183-208
    • Brunel, N.1
  • 9
    • 0033210816 scopus 로고    scopus 로고
    • Fast global oscillations in networks of integrate-and-fire neurons with long fitting rates
    • Brunel N., Hakim V. Fast global oscillations in networks of integrate-and-fire neurons with long fitting rates. Neural Comput. 1999, 11:1621-1671.
    • (1999) Neural Comput. , vol.11 , pp. 1621-1671
    • Brunel, N.1    Hakim, V.2
  • 10
    • 0038162289 scopus 로고    scopus 로고
    • What determines the frequency of fast network oscillations with irregular neural discharge? I. synaptic dynamics and excitation-inhibition balance
    • Brunel N., Wang X.-J. What determines the frequency of fast network oscillations with irregular neural discharge? I. synaptic dynamics and excitation-inhibition balance. J. Neurophysiol. 2003, 90:415-430.
    • (2003) J. Neurophysiol. , vol.90 , pp. 415-430
    • Brunel, N.1    Wang, X.-J.2
  • 11
    • 2542635096 scopus 로고    scopus 로고
    • A conservative and entropy scheme for a simplified model of granular media
    • Buet C., Cordier S., Dos Santos V. A conservative and entropy scheme for a simplified model of granular media. Transport Theory Statist. Phys. 2004, 33(2):125-155.
    • (2004) Transport Theory Statist. Phys. , vol.33 , Issue.2 , pp. 125-155
    • Buet, C.1    Cordier, S.2    Dos Santos, V.3
  • 13
    • 4644344325 scopus 로고    scopus 로고
    • An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information
    • Cai D., Tao L., McLaughlin D.W. An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information. PNAS 2004, 101:14288-14293.
    • (2004) PNAS , vol.101 , pp. 14288-14293
    • Cai, D.1    Tao, L.2    McLaughlin, D.W.3
  • 15
    • 2442679125 scopus 로고    scopus 로고
    • An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex
    • Cai D., Tao L., Shelley M.J., McLaughlin D.W. An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex. PNAS 2004, 101:7757-7762.
    • (2004) PNAS , vol.101 , pp. 7757-7762
    • Cai, D.1    Tao, L.2    Shelley, M.J.3    McLaughlin, D.W.4
  • 16
    • 0037455598 scopus 로고    scopus 로고
    • A WENO-solver for the transients of Boltzmann-Poisson system for semiconductor devices: performance and comparisons with Monte Carlo methods
    • Carrillo J.A., Gamba I.M., Majorana A., Shu C.-W. A WENO-solver for the transients of Boltzmann-Poisson system for semiconductor devices: performance and comparisons with Monte Carlo methods. J. Comput. Phys. 2003, 184(2):498-525.
    • (2003) J. Comput. Phys. , vol.184 , Issue.2 , pp. 498-525
    • Carrillo, J.A.1    Gamba, I.M.2    Majorana, A.3    Shu, C.-W.4
  • 17
    • 33644542461 scopus 로고    scopus 로고
    • 2D semiconductor device simulations by WENO-Boltzmann schemes: efficiency, boundary conditions and comparison to Monte Carlo methods
    • Carrillo J.A., Gamba I.M., Majorana A., Shu C.-W. 2D semiconductor device simulations by WENO-Boltzmann schemes: efficiency, boundary conditions and comparison to Monte Carlo methods. J. Comput. Phys. 2006, 214(1):55-80.
    • (2006) J. Comput. Phys. , vol.214 , Issue.1 , pp. 55-80
    • Carrillo, J.A.1    Gamba, I.M.2    Majorana, A.3    Shu, C.-W.4
  • 18
    • 38849155119 scopus 로고    scopus 로고
    • A semi-lagrangian deterministic solver for the semiconductor Boltzmann-Poisson system
    • Carrillo J.A., Majorana A., Vecil F. A semi-lagrangian deterministic solver for the semiconductor Boltzmann-Poisson system. Commun. Comput. Phys. 2007, 2:1027-1054.
    • (2007) Commun. Comput. Phys. , vol.2 , pp. 1027-1054
    • Carrillo, J.A.1    Majorana, A.2    Vecil, F.3
  • 19
    • 44649190380 scopus 로고    scopus 로고
    • Nonoscillatory interpolation methods applied to Vlasov-based models
    • electronic
    • Carrillo J.A., Vecil F. Nonoscillatory interpolation methods applied to Vlasov-based models. SIAM J. Sci. Comput. 2007, 29(3):1179-1206. electronic.
    • (2007) SIAM J. Sci. Comput. , vol.29 , Issue.3 , pp. 1179-1206
    • Carrillo, J.A.1    Vecil, F.2
  • 20
    • 0027346843 scopus 로고
    • A model for feature linking via collective oscillations in the primary visual cortex
    • Chawanya T., Aoyagi A., Nishikawa T., Okuda K., Kuramoto Y. A model for feature linking via collective oscillations in the primary visual cortex. Biol. Cybern. 1993, 68:483-490.
    • (1993) Biol. Cybern. , vol.68 , pp. 483-490
    • Chawanya, T.1    Aoyagi, A.2    Nishikawa, T.3    Okuda, K.4    Kuramoto, Y.5
  • 21
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of the firing probability of noisy integrate-and-fire neurons
    • Fourcaud N., Brunel N. Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comp. 2002, 14:2057-2110.
    • (2002) Neural Comp. , vol.14 , pp. 2057-2110
    • Fourcaud, N.1    Brunel, N.2
  • 22
    • 0033630628 scopus 로고    scopus 로고
    • Population dynamics of spiking neurons: fast transients, asynchronous states, and locking
    • Gerstner W. Population dynamics of spiking neurons: fast transients, asynchronous states, and locking. Neural Comp. 2000, 12:43-89.
    • (2000) Neural Comp. , vol.12 , pp. 43-89
    • Gerstner, W.1
  • 23
    • 0024541876 scopus 로고
    • Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
    • Gray C.M., Singer W. Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. USA 1989, 86(5):1698-1702.
    • (1989) Proc. Natl. Acad. Sci. USA , vol.86 , Issue.5 , pp. 1698-1702
    • Gray, C.M.1    Singer, W.2
  • 24
    • 0042736230 scopus 로고    scopus 로고
    • Population density methods for large-scale modeling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size
    • Haskell E., Nykamp D., Tranchina D. Population density methods for large-scale modeling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size. Network: Compt. Neural Syst. 2001, 12:141-174.
    • (2001) Network: Compt. Neural Syst. , vol.12 , pp. 141-174
    • Haskell, E.1    Nykamp, D.2    Tranchina, D.3
  • 25
    • 19044362572 scopus 로고    scopus 로고
    • Lfp power spectra in v1 cortex: the graded effect of stimulus contrast
    • Henrie J.A., Shapley R. Lfp power spectra in v1 cortex: the graded effect of stimulus contrast. J. Neurophysiol. 2005, 94(1):479-490.
    • (2005) J. Neurophysiol. , vol.94 , Issue.1 , pp. 479-490
    • Henrie, J.A.1    Shapley, R.2
  • 26
    • 42149192537 scopus 로고    scopus 로고
    • Large-scale model of mammalian thalamocortical systems
    • Izhikevich E.M., Edelman G.M. Large-scale model of mammalian thalamocortical systems. Proc. Natl. Acad. Sci. USA 2008, 105(9):593-3598.
    • (2008) Proc. Natl. Acad. Sci. USA , vol.105 , Issue.9 , pp. 593-3598
    • Izhikevich, E.M.1    Edelman, G.M.2
  • 27
    • 0030161771 scopus 로고    scopus 로고
    • Efficient implementation of weighted ENO schemes
    • Jiang G.-S., Shu C.-W. Efficient implementation of weighted ENO schemes. J. Comput. Phys. 1996, 126(1):202-228.
    • (1996) J. Comput. Phys. , vol.126 , Issue.1 , pp. 202-228
    • Jiang, G.-S.1    Shu, C.-W.2
  • 28
    • 0015357448 scopus 로고
    • Dynamics of encoding in a populaton neurons
    • Knight B. Dynamics of encoding in a populaton neurons. J. Gen. Physiol. 1972, 59:734-766.
    • (1972) J. Gen. Physiol. , vol.59 , pp. 734-766
    • Knight, B.1
  • 30
    • 34548013119 scopus 로고    scopus 로고
    • Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling
    • Ly C., Tranchina D. Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling. Neural Comput. 2007, 19(8):2032-2092.
    • (2007) Neural Comput. , vol.19 , Issue.8 , pp. 2032-2092
    • Ly, C.1    Tranchina, D.2
  • 32
    • 85036133906 scopus 로고    scopus 로고
    • Population dynamics of interacting spiking neurons
    • Mattia M., Del Giudice P. Population dynamics of interacting spiking neurons. Phys. Rev. E 2002, 66:051917.
    • (2002) Phys. Rev. E , vol.66 , pp. 051917
    • Mattia, M.1    Del Giudice, P.2
  • 33
    • 0034608855 scopus 로고    scopus 로고
    • A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Cα
    • McLaughlin D., Shapley R., Shelley M., Wielaard J. A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Cα. Proc. Natl. Acad. Sci. USA 2000, 97:8087-8092.
    • (2000) Proc. Natl. Acad. Sci. USA , vol.97 , pp. 8087-8092
    • McLaughlin, D.1    Shapley, R.2    Shelley, M.3    Wielaard, J.4
  • 34
    • 34548743446 scopus 로고    scopus 로고
    • Noise-induced alternations in an attractor network model of perceptual bistability
    • Moreno-Bote R., Rinzel J., Rubin N. Noise-induced alternations in an attractor network model of perceptual bistability. J. Neurophysiol. 2007, 98:1125-1139.
    • (2007) J. Neurophysiol. , vol.98 , pp. 1125-1139
    • Moreno-Bote, R.1    Rinzel, J.2    Rubin, N.3
  • 35
    • 85190082278 scopus 로고    scopus 로고
    • Cascade-induced synchrony in stochastically-driven neuronal networks, preprint
    • K. Newhall, G. Kovačič, P. Kramer, A.V. Rangan, D. Cai, Cascade-induced synchrony in stochastically-driven neuronal networks, preprint, 2010.
    • (2010)
    • Newhall, K.1    Kovačič, G.2    Kramer, P.3    Rangan, A.V.4    Cai, D.5
  • 36
  • 37
    • 0034076273 scopus 로고    scopus 로고
    • A population density method that facilitates large-scale modeling of neural networks: analysis and application to orientation tuning
    • Nykamp D., Tranchina D. A population density method that facilitates large-scale modeling of neural networks: analysis and application to orientation tuning. J. Comput. Neurosci. 2000, 8:19-50.
    • (2000) J. Comput. Neurosci. , vol.8 , pp. 19-50
    • Nykamp, D.1    Tranchina, D.2
  • 38
    • 0035289566 scopus 로고    scopus 로고
    • A population density method that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses
    • Nykamp D., Tranchina D. A population density method that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses. Neural Comput. 2001, 13:511-546.
    • (2001) Neural Comput. , vol.13 , pp. 511-546
    • Nykamp, D.1    Tranchina, D.2
  • 39
    • 0042761933 scopus 로고    scopus 로고
    • A population approach to cortical dynamics with an application to orientation tuning
    • Omurtag A., Kaplan E., Knight B., Sirovich L. A population approach to cortical dynamics with an application to orientation tuning. Network 2000, 11:247-260.
    • (2000) Network , vol.11 , pp. 247-260
    • Omurtag, A.1    Kaplan, E.2    Knight, B.3    Sirovich, L.4
  • 40
    • 0034083940 scopus 로고    scopus 로고
    • On the simulation of large populations of neurons
    • Omurtag A., Knight B., Sirovich L. On the simulation of large populations of neurons. J. Comp. Neurosci. 2000, 8:51-63.
    • (2000) J. Comp. Neurosci. , vol.8 , pp. 51-63
    • Omurtag, A.1    Knight, B.2    Sirovich, L.3
  • 41
    • 0032053324 scopus 로고    scopus 로고
    • Activity in sparsely connected excitatory neural networks: effect of connectivity neural networks
    • Pham J., Pakdaman K., Champagnat J., Vibert J. Activity in sparsely connected excitatory neural networks: effect of connectivity neural networks. Neural Networks 1998, 11:415-434.
    • (1998) Neural Networks , vol.11 , pp. 415-434
    • Pham, J.1    Pakdaman, K.2    Champagnat, J.3    Vibert, J.4
  • 42
    • 33846354948 scopus 로고    scopus 로고
    • Maximum-entropy closures for kinetic theories of neuronal network dynamics
    • Rangan A.V., Cai D. Maximum-entropy closures for kinetic theories of neuronal network dynamics. Phys. Rev. Lett. 2006, 96:178101.
    • (2006) Phys. Rev. Lett. , vol.96 , pp. 178101
    • Rangan, A.V.1    Cai, D.2
  • 43
    • 33845912111 scopus 로고    scopus 로고
    • Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks
    • Rangan A.V., Cai D. Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. J. Comput. Neurosci. 2007, 22(1):81-100.
    • (2007) J. Comput. Neurosci. , vol.22 , Issue.1 , pp. 81-100
    • Rangan, A.V.1    Cai, D.2
  • 44
    • 30144440320 scopus 로고    scopus 로고
    • Modeling the spatiotemporal cortical activity associated with the line-motion illusion in primary visual cortex
    • Rangan A.V., Cai D., McLaughlin D.W. Modeling the spatiotemporal cortical activity associated with the line-motion illusion in primary visual cortex. PNAS 2005, 102:18793-18800.
    • (2005) PNAS , vol.102 , pp. 18793-18800
    • Rangan, A.V.1    Cai, D.2    McLaughlin, D.W.3
  • 45
    • 49449093612 scopus 로고    scopus 로고
    • Quantifying neuronal network dynamics through coarse-grained event trees
    • Rangan A.V., Cai D., McLaughlin D.W. Quantifying neuronal network dynamics through coarse-grained event trees. PNAS 2008, 105:10990-10995.
    • (2008) PNAS , vol.105 , pp. 10990-10995
    • Rangan, A.V.1    Cai, D.2    McLaughlin, D.W.3
  • 46
    • 33846367751 scopus 로고    scopus 로고
    • Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics
    • Rangan A.V., Cai D., Tao L. Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics. J. Comput. Phys. 2007, 221(2):781-798.
    • (2007) J. Comput. Phys. , vol.221 , Issue.2 , pp. 781-798
    • Rangan, A.V.1    Cai, D.2    Tao, L.3
  • 47
    • 42449108706 scopus 로고    scopus 로고
    • Kinetic theory for neuronal networks with fast and slow excitatory conductances driven by the same spike train
    • Rangan A.V., Kovačič G., Cai D. Kinetic theory for neuronal networks with fast and slow excitatory conductances driven by the same spike train. Phys. Rev. E (3) 2008, 77(4):041915.
    • (2008) Phys. Rev. E (3) , vol.77 , Issue.4 , pp. 041915
    • Rangan, A.V.1    Kovačič, G.2    Cai, D.3
  • 48
    • 0141860842 scopus 로고    scopus 로고
    • Characterization of subthreshold voltage fluctuations in neuronal membranes
    • Rudolph M., Destexhe A. Characterization of subthreshold voltage fluctuations in neuronal membranes. Neural Comp. 2003, 15:2577-2618.
    • (2003) Neural Comp. , vol.15 , pp. 2577-2618
    • Rudolph, M.1    Destexhe, A.2
  • 49
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: implications for connectivity, computation and information coding
    • Shadlen M., Newsome W. The variable discharge of cortical neurons: implications for connectivity, computation and information coding. J. Neurosci. 1998, 18:3870-3896.
    • (1998) J. Neurosci. , vol.18 , pp. 3870-3896
    • Shadlen, M.1    Newsome, W.2
  • 50
    • 0035683779 scopus 로고    scopus 로고
    • Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks
    • Shelley M., Tao L. Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks. J. Comp. Neurosci. 2001, 11:111-119.
    • (2001) J. Comp. Neurosci. , vol.11 , pp. 111-119
    • Shelley, M.1    Tao, L.2
  • 51
    • 45449125925 scopus 로고
    • Efficient implementation of essentially nonoscillatory shock-capturing schemes
    • Shu C.-W., Osher S. Efficient implementation of essentially nonoscillatory shock-capturing schemes. J. Comput. Phys. 1988, 77(2):439-471.
    • (1988) J. Comput. Phys. , vol.77 , Issue.2 , pp. 439-471
    • Shu, C.-W.1    Osher, S.2
  • 52
    • 0029160319 scopus 로고
    • An emergent model of orientation selectivity in cat visual cortical simple cells
    • Somers D.C., Nelson S.B., Sur M. An emergent model of orientation selectivity in cat visual cortical simple cells. J. Neurosci. 1995, 15(8):5448-5465.
    • (1995) J. Neurosci. , vol.15 , Issue.8 , pp. 5448-5465
    • Somers, D.C.1    Nelson, S.B.2    Sur, M.3
  • 53
    • 0030907923 scopus 로고    scopus 로고
    • Spontaneous subthreshold membrane potential fluctuations and action potential variability of rat corticostriatal and striatal neurons in vivo
    • Stern E., Kincaid A., Wilson C. Spontaneous subthreshold membrane potential fluctuations and action potential variability of rat corticostriatal and striatal neurons in vivo. J. Neurophysiol. 1997, 77:1697-1715.
    • (1997) J. Neurophysiol. , vol.77 , pp. 1697-1715
    • Stern, E.1    Kincaid, A.2    Wilson, C.3
  • 54
    • 0347088971 scopus 로고    scopus 로고
    • An egalitarian network model for the emergence of simple and complex cells in visual cortex
    • Tao L., Shelley M., McLaughlin D., Shapley R. An egalitarian network model for the emergence of simple and complex cells in visual cortex. Proc. Natl. Acad. Sci. USA 2004, 101(1):366-371.
    • (2004) Proc. Natl. Acad. Sci. USA , vol.101 , Issue.1 , pp. 366-371
    • Tao, L.1    Shelley, M.2    McLaughlin, D.3    Shapley, R.4
  • 55
    • 36149037160 scopus 로고
    • Mean field analysis of neuronal spike dynamics
    • Treves A. Mean field analysis of neuronal spike dynamics. Network 1993, 4:259-284.
    • (1993) Network , vol.4 , pp. 259-284
    • Treves, A.1
  • 56
    • 0032146788 scopus 로고    scopus 로고
    • Contrast invariant orientation tuning in cat visual cortex with feedforward tuning and correlation based intracortical connectivity
    • Troyer T., Krukowski A., Priebe N., Miller K. Contrast invariant orientation tuning in cat visual cortex with feedforward tuning and correlation based intracortical connectivity. J. Neurosci. 1998, 18:5908-5927.
    • (1998) J. Neurosci. , vol.18 , pp. 5908-5927
    • Troyer, T.1    Krukowski, A.2    Priebe, N.3    Miller, K.4
  • 57
    • 0033232525 scopus 로고    scopus 로고
    • Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory
    • Wang X. Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory. J. Neurosci. 1999, 19:9587-9603.
    • (1999) J. Neurosci. , vol.19 , pp. 9587-9603
    • Wang, X.1
  • 58
    • 0021046151 scopus 로고
    • A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions
    • Wilbur W., Rinzel J. A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions. J. Theor. Biol. 1983, 105:345-368.
    • (1983) J. Theor. Biol. , vol.105 , pp. 345-368
    • Wilbur, W.1    Rinzel, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.