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Volumn 21, Issue 11, 2009, Pages 3079-3105

Maximum likelihood decoding of neuronal inputs from an interspike interval distribution

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; EVOKED RESPONSE; EXCITATORY POSTSYNAPTIC POTENTIAL; MONTE CARLO METHOD; NERVE CELL; PHYSIOLOGY; PROBABILITY; STATISTICAL MODEL;

EID: 77953737865     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.06-08-807     Document Type: Article
Times cited : (13)

References (33)
  • 1
    • 33644971385 scopus 로고    scopus 로고
    • Representations of the first hitting time density of an Ornstein-Uhlenbeck process
    • Alili, L., Patie, P., & Pedersen, J.L. (2005). Representations of the first hitting time density of an Ornstein-Uhlenbeck process. Stochastic Models, 21, 967-980.
    • (2005) Stochastic Models , vol.21 , pp. 967-980
    • Alili, L.1    Patie, P.2    Pedersen, J.L.3
  • 2
    • 39149096545 scopus 로고    scopus 로고
    • Dynamic I-V curves are reliable predictors of naturalistic pyramidalneuron voltage traces
    • Badel, L., Lefort, S., Brette, R., Petersen, C.C.H., Gerstner, W., & Richardson, M.J.E. (2008). Dynamic I-V curves are reliable predictors of naturalistic pyramidalneuron voltage traces. J. Neurophysiol., 99(2), 656-666.
    • (2008) J. Neurophysiol. , vol.99 , Issue.2 , pp. 656-666
    • Badel, L.1    Lefort, S.2    Brette, R.3    Petersen, C.C.H.4    Gerstner, W.5    Richardson, M.J.E.6
  • 3
    • 41549102418 scopus 로고    scopus 로고
    • Sparsely synchronized neuronal oscillations
    • Brunel, N., & Hakim, V. (2008). Sparsely synchronized neuronal oscillations. Chaos, 18, 015113.
    • (2008) Chaos , vol.18 , pp. 015113
    • Brunel, N.1    Hakim, V.2
  • 4
    • 0041360352 scopus 로고    scopus 로고
    • Firing rate of the noisy quadratic integrate-and-fire neuron
    • Brunel, N., & Latham, P.E. (2003). Firing rate of the noisy quadratic integrate-and-fire neuron. Neural Computation, 15, 2281-2306.
    • (2003) Neural Computation , vol.15 , pp. 2281-2306
    • Brunel, N.1    Latham, P.E.2
  • 5
    • 27144498986 scopus 로고    scopus 로고
    • Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
    • Brette, R., & Gerstner, W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J. Neurophysiol., 94, 3637-3642.
    • (2005) J. Neurophysiol. , vol.94 , pp. 3637-3642
    • Brette, R.1    Gerstner, W.2
  • 6
    • 84912057909 scopus 로고    scopus 로고
    • New York: Oxford University Presss
    • Buzsáki. G. (2006). Rhythms of the brain. New York: Oxford University Presss.
    • (2006) Rhythms of the brain
    • Buzsáki, G.1
  • 7
    • 33144489051 scopus 로고    scopus 로고
    • Relation between single neuron and population spiking statistics and effects on network activity
    • Cateau, H., & Reyes, A.D. (2006). Relation between single neuron and population spiking statistics and effects on network activity. Phys. Rev. Lett., 96, 058101.
    • (2006) Phys. Rev. Lett. , vol.96 , pp. 058101
    • Cateau, H.1    Reyes, A.D.2
  • 8
    • 0033360244 scopus 로고    scopus 로고
    • Reading population codes: A neural implementation of ideal observers
    • Deneve, S., Latham, P.E., & Pouget, A. (1999). Reading population codes: A neural implementation of ideal observers. Nat. Neurosci., 2, 740-745.
    • (1999) Nat. Neurosci. , vol.2 , pp. 740-745
    • Deneve, S.1    Latham, P.E.2    Pouget, A.3
  • 9
    • 33749621045 scopus 로고    scopus 로고
    • Neuronal computations with stochastic network states
    • Destexhe. A., & Contreras, D. (2006). Neuronal computations with stochastic network states. Science, 314, 85-90.
    • (2006) Science , vol.314 , pp. 85-90
    • Destexhe, A.1    Contreras, D.2
  • 10
    • 37649030460 scopus 로고    scopus 로고
    • Estimation of the input parameters in the OrnsteinUhlenbeck neuronal model
    • Ditlevsen, S., & Lansky, P. (2005). Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model. Phys. Rev. E, 71, 011907.
    • (2005) Phys. Rev. E , vol.71 , pp. 011907
    • Ditlevsen, S.1    Lansky, P.2
  • 11
    • 0041490903 scopus 로고    scopus 로고
    • Feng J.F. (Ed.), London/Boca Raton, FL: Chapman and Hall/CRC, Press
    • Feng, J.F. (Ed.). (2003). Computational neuroscience: A comprehensive approach. London/Boca Raton, FL: Chapman and Hall/CRC, Press.
    • (2003) Computational neuroscience: A comprehensive approach
  • 12
    • 0033777883 scopus 로고    scopus 로고
    • Integrate-and-fire models with nonlinear leakage
    • Feng, J.F., & Brown, D. (2000a). Integrate-and-fire models with nonlinear leakage. Bull. Math. Biol., 62(3), 467-481.
    • (2000) Bull. Math. Biol. , vol.62 , Issue.3 , pp. 467-481
    • Feng, J.F.1    Brown, D.2
  • 13
    • 0034152042 scopus 로고    scopus 로고
    • Impact of correlated inputs on the output of the integrate-and-fire models
    • Feng, J., & Brown, D. (2000b). Impact of correlated inputs on the output of the integrate-and-fire models. Neural Computation, 12, 671-692.
    • (2000) Neural Computation , vol.12 , pp. 671-692
    • Feng, J.1    Brown, D.2
  • 14
    • 2942739080 scopus 로고    scopus 로고
    • Decoding spikes in a spiking neuronal network
    • Feng, J.F., & Ding, M. (2004). Decoding spikes in a spiking neuronal network. J. Phys. A: Math. and Gen., 37, 5713-5727.
    • (2004) J. Phys. A: Math. and Gen. , vol.37 , pp. 5713-5727
    • Feng, J.F.1    Ding, M.2
  • 15
    • 0347694858 scopus 로고    scopus 로고
    • How spike generation mechanisms determine the neuronal response to fluctuating inputs
    • Fourcaud-Trocme, N., Hansel, D., van Vreeswijk, C., & Brunel, N. (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-Trocme, N.1    Hansel, D.2    van Vreeswijk, C.3    Brunel, N.4
  • 18
    • 1842665902 scopus 로고    scopus 로고
    • A clarification note about hitting times densities for Ornstein-Uhlenbeck processes
    • Göing-Jaeschke, A., & Yor, M. (2003). A clarification note about hitting times densities for Ornstein-Uhlenbeck processes. Finance Stoch., 7, 413-415.
    • (2003) Finance Stoch. , vol.7 , pp. 413-415
    • Göing-Jaeschke, A.1    Yor, M.2
  • 19
    • 27644475783 scopus 로고    scopus 로고
    • Fast readout of object identity from macaque inferior temporal
    • Hung, C.P., Kreiman, G., Poggio, T., & DiCarlo, J.J. (2005). Fast readout of object identity from macaque inferior temporal. Science, 310, 863-866.
    • (2005) Science , vol.310 , pp. 863-866
    • Hung, C.P.1    Kreiman, G.2    Poggio, T.3    DiCarlo, J.J.4
  • 20
    • 0035449976 scopus 로고    scopus 로고
    • Responses of magnocellular neurons to osmotic stimulation involves coactivation of excitatory and inhibitory input: An experimental and theoretical analysis
    • Leng, G., Brown, C.H., Bull, P.M., Brown, D., Scullion, S., Currie, J., et al. (2001). Responses of magnocellular neurons to osmotic stimulation involves coactivation of excitatory and inhibitory input: An experimental and theoretical analysis. J. Neurosci., 21, 6967-6977.
    • (2001) J. Neurosci. , vol.21 , pp. 6967-6977
    • Leng, G.1    Brown, C.H.2    Bull, P.M.3    Brown, D.4    Scullion, S.5    Currie, J.6
  • 21
    • 33750490410 scopus 로고    scopus 로고
    • Designing the dynamics of spiking neural networks
    • Memmesheimer, R.M., & Timme, M. (2006). Designing the dynamics of spiking neural networks. Phys.Rev.Lett., 97, 188101.
    • (2006) Phys. Rev. Lett. , vol.97 , pp. 188101
    • Memmesheimer, R.M.1    Timme, M.2
  • 22
    • 9744239998 scopus 로고    scopus 로고
    • Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
    • Paninski, L., Pillow, J.W., & Simoncelli, E.P. (2004). Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Computation, 16, 2533-2561.
    • (2004) Neural Computation , vol.16 , pp. 2533-2561
    • Paninski, L.1    Pillow, J.W.2    Simoncelli, E.P.3
  • 26
    • 33846869462 scopus 로고    scopus 로고
    • Decoding spike ensembles: Tracking a moving stimulus
    • Rossoni, E., & Feng, J.F. (2007). Decoding spike ensembles: Tracking a moving stimulus. Biol. Cybern., 96, 99-112.
    • (2007) Biol. Cybern. , vol.96 , pp. 99-112
    • Rossoni, E.1    Feng, J.F.2
  • 27
    • 0038396152 scopus 로고    scopus 로고
    • Neural population codes
    • Sanger, T.D. (2003). Neural population codes. Curr. Opin. Neurobiol., 13, 238-249.
    • (2003) Curr. Opin. Neurobiol. , vol.13 , pp. 238-249
    • Sanger, T.D.1
  • 28
    • 0028024043 scopus 로고
    • Noise, neural codes and cortical organization
    • Shadlen, M.N., & Newsome, W.T. (1994). Noise, neural codes and cortical organization. Curr. Opin. Neurobiol., 4(4), 569-579.
    • (1994) Curr. Opin. Neurobiol. , vol.4 , Issue.4 , pp. 569-579
    • Shadlen, M.N.1    Newsome, W.T.2
  • 29
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding
    • Shadlen, M.N., & Newsome, W.T. (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
  • 31
    • 12544253489 scopus 로고    scopus 로고
    • A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects
    • Truccolo, W., & Eden, U. (2005). A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects. J. Neurophys., 93, 1074-1089.
    • (2005) J. Neurophys. , vol.93 , pp. 1074-1089
    • Truccolo, W.1    Eden, U.2
  • 32
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe, S., Fiz, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520-522.
    • (1996) Nature , vol.381 , pp. 520-522
    • Thorpe, S.1    Fiz, D.2    Marlot, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.