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Volumn , Issue , 2008, Pages

Neural characterization in partially observed populations of spiking neurons

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS); NEURAL NETWORKS; SIGNAL ENCODING;

EID: 85162072974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (22)
  • 1
    • 0022960073 scopus 로고
    • The identification of nonlinear biological systems: Wiener and Hammerstein cascade models
    • I. Hunter and M. Korenberg. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models. Biological Cybernetics, 55:135-144, 1986.
    • (1986) Biological Cybernetics , vol.55 , pp. 135-144
    • Hunter, I.1    Korenberg, M.2
  • 2
    • 0033714122 scopus 로고    scopus 로고
    • Adaptive rescaling optimizes information transmission
    • N. Brenner, W. Bialek, and R. de Ruyter van Steveninck. Adaptive rescaling optimizes information transmission. Neuron, 26:695-702, 2000.
    • (2000) Neuron , vol.26 , pp. 695-702
    • Brenner, N.1    Bialek, W.2    De Van Steveninck, R.R.3
  • 3
    • 0034133323 scopus 로고    scopus 로고
    • Noise in integrate-and-fire neurons: From stochastic input to escape rates
    • H. Plesser and W. Gerstner. Noise in integrate-and-fire neurons: From stochastic input to escape rates. Neural Computation, 12:367-384, 2000.
    • (2000) Neural Computation , vol.12 , pp. 367-384
    • Plesser, H.1    Gerstner, W.2
  • 4
    • 0013028436 scopus 로고    scopus 로고
    • A simple white noise analysis of neuronal light responses
    • DOI 10.1088/0954-898X/12/2/306, PII S0954898X01232953
    • E. J. Chichilnisky. A simple white noise analysis of neuronal light responses. Network: Computation in Neural Systems, 12:199-213, 2001. (Pubitemid 33626943)
    • (2001) Network: Computation in Neural Systems , vol.12 , Issue.2 , pp. 199-213
    • Chichilnisky, E.J.1
  • 5
    • 0003436477 scopus 로고    scopus 로고
    • Characterization of neural responses with stochastic stimuli
    • M. Gazzaniga, editor. MIT Press, 3rd edition
    • E. P. Simoncelli, L. Paninski, J. Pillow, and O. Schwartz. Characterization of neural responses with stochastic stimuli. In M. Gazzaniga, editor, The Cognitive Neurosciences, pages 327-338. MIT Press, 3rd edition, 2004.
    • (2004) The Cognitive Neurosciences , pp. 327-338
    • Simoncelli, E.P.1    Paninski, L.2    Pillow, J.3    Schwartz, O.4
  • 6
    • 0032521364 scopus 로고    scopus 로고
    • Refractoriness and neural precision
    • M. Berry and M. Meister. Refractoriness and neural precision. Journal of Neuroscience, 18:2200-2211, 1998. (Pubitemid 28141424)
    • (1998) Journal of Neuroscience , vol.18 , Issue.6 , pp. 2200-2211
    • Berry II, M.J.1    Meister, M.2
  • 7
    • 0043069766 scopus 로고    scopus 로고
    • Organization of cell assemblies in the hippocampus
    • DOI 10.1038/nature01834
    • K. Harris, J. Csicsvari, H. Hirase, G. Dragoi, and G. Buzsaki. Organization of cell assemblies in the hippocampus. Nature, 424:552-556, 2003. (Pubitemid 36975776)
    • (2003) Nature , vol.424 , Issue.6948 , pp. 552-556
    • Harris, K.D.1    Csicsvari, J.2    Hirase, H.3    Dragoi, G.4    Buzsaki, G.5
  • 8
    • 12544253489 scopus 로고    scopus 로고
    • A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects
    • W. Truccolo, U. T. Eden, M. R. Fellows, J. P. Donoghue, and E. N. Brown. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiol, 93(2):1074-1089, 2004.
    • (2004) J. Neurophysiol , vol.93 , Issue.2 , pp. 1074-1089
    • Truccolo, W.1    Eden, U.T.2    Fellows, M.R.3    Donoghue, J.P.4    Brown, E.N.5
  • 9
    • 9744274025 scopus 로고    scopus 로고
    • Maximum likelihood estimation of cascade point-process neural encoding models
    • DOI 10.1088/0954-898X/15/4/002, PII S0954898X04757802
    • L. Paninski. Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems, 15:243-262, 2004. (Pubitemid 39586479)
    • (2004) Network: Computation in Neural Systems , vol.15 , Issue.4 , pp. 243-262
    • Paninski, L.1
  • 11
    • 85156234502 scopus 로고    scopus 로고
    • Reconstructing stimulus-driven neural networks from spike times
    • D. Nykamp. Reconstructing stimulus-driven neural networks from spike times. NIPS, 15:309-316, 2003.
    • (2003) NIPS , vol.15 , pp. 309-316
    • Nykamp, D.1
  • 12
    • 29144507409 scopus 로고    scopus 로고
    • Revealing pairwise coupling in linear-nonlinear networks
    • DOI 10.1137/S0036139903437072
    • D. Nykamp. Revealing pairwise coupling in linear-nonlinear networks. SIAM Journal on Applied Mathematics, 65:2005-2032, 2005. (Pubitemid 41802088)
    • (2005) SIAM Journal on Applied Mathematics , vol.65 , Issue.6 , pp. 2005-2032
    • Nykamp, D.Q.1
  • 13
    • 23044490853 scopus 로고    scopus 로고
    • Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
    • DOI 10.1162/0899766054322973
    • M. Okatan, M. Wilson, and E. Brown. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural Computation, 17:1927-1961, 2005. (Pubitemid 41057057)
    • (2005) Neural Computation , vol.17 , Issue.9 , pp. 1927-1961
    • Okatan, M.1    Wilson, M.A.2    Brown, E.N.3
  • 14
    • 33749446319 scopus 로고    scopus 로고
    • A state-space analysis for reconstruction of goal-directed movements using neural signals
    • DOI 10.1162/neco.2006.18.10.2465
    • L. Srinivasan, U. Eden, A. Willsky, and E. Brown. A state-space analysis for reconstruction of goaldirected movements using neural signals. Neural Computation, 18:2465-2494, 2006. (Pubitemid 44511771)
    • (2006) Neural Computation , vol.18 , Issue.10 , pp. 2465-2494
    • Srinivasan, L.1    Eden, U.T.2    Willsky, A.S.3    Brown, E.N.4
  • 15
    • 33845459534 scopus 로고    scopus 로고
    • A mathematical framework for inferring connectivity in probabilistic neuronal networks
    • DOI 10.1016/j.mbs.2006.08.020, PII S0025556406001556
    • D. Nykamp. A mathematical framework for inferring connectivity in probabilistic neuronal networks. Mathematical Biosciences, 205:204-251, 2007. (Pubitemid 44894450)
    • (2007) Mathematical Biosciences , vol.205 , Issue.2 , pp. 204-251
    • Nykamp, D.Q.1
  • 16
    • 35448977149 scopus 로고    scopus 로고
    • Common-input models for multiple neural spike-train data
    • J. E. Kulkarni and L Paninski. Common-input models for multiple neural spike-train data. Network: Computation in Neural Systems, 18(4):375-407, 2007.
    • (2007) Network: Computation in Neural Systems , vol.18 , Issue.4 , pp. 375-407
    • Kulkarni, J.E.1    Paninski, L.2
  • 18
    • 85161984517 scopus 로고    scopus 로고
    • Hidden Markov models applied toward the inference of neural states and the improved estimation of linear receptive fields
    • S. Escola and L. Paninski. Hidden Markov models applied toward the inference of neural states and the improved estimation of linear receptive fields. COSYNE07, 2007.
    • (2007) COSYNE07
    • Escola, S.1    Paninski, L.2
  • 20
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. Dempster, N. Laird, and R. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statistical Society, B, 39(1):1-38, 1977.
    • (1977) J. Royal Statistical Society, B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, R.3
  • 21
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, editor. MIT Press, Cambridge
    • R. Neal and G. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan, editor, Learning in Graphical Models, pages 355-368. MIT Press, Cambridge, 1999.
    • (1999) Learning in Graphical Models , pp. 355-368
    • Neal, R.1    Hinton, G.2
  • 22
    • 0029652445 scopus 로고
    • The " wake-sleep" algorithm for unsupervised neural networks
    • GE Hinton, P. Dayan, BJ Frey, and RM Neal. The" wake-sleep" algorithm for unsupervised neural networks. Science, 268(5214):1158-1161, 1995.
    • (1995) Science , vol.268 , Issue.5214 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.