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Volumn , Issue , 2009, Pages 5006-5009

A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortex

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; NEURAL NETWORKS; OPTIMIZATION;

EID: 77950969853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334610     Document Type: Conference Paper
Times cited : (7)

References (16)
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    • Brown, E.N.1    Kass, R.E.2    Mitra, P.P.3
  • 3
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    • Maximum likelihood identification of neural point process systems
    • E. S. Chornoboy, L. P. Schramm, and A. F. Karr, "Maximum likelihood identification of neural point process systems," Biol. Cybern., vol.59, pp. 265-275, 1988.
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    • Chornoboy, E.S.1    Schramm, L.P.2    Karr, A.F.3
  • 4
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    • Correlated discharges among putative pyramidal neurons and interneurons in the primate prefrontal cortex
    • C. Constantinidis and P. S. Goldman-Rakic, "Correlated discharges among putative pyramidal neurons and interneurons in the primate prefrontal cortex," J. Neurophy., vol.88, pp. 3487-3497, 2002.
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    • Constantinidis, C.1    Goldman-Rakic, P.S.2
  • 5
    • 47549084085 scopus 로고    scopus 로고
    • Analysis of between-trial and within-trial neural spiking dynamics
    • G. Czanner, U. T. Eden, S. Wirth, M. Yanike, W. A. Suzuki, and E. N. Brown, "Analysis of between-trial and within-trial neural spiking dynamics," J. Neurophy., vol.99, pp. 2672-2693, 2008.
    • (2008) J. Neurophy. , vol.99 , pp. 2672-2693
    • Czanner, G.1    Eden, U.T.2    Wirth, S.3    Yanike, M.4    Suzuki, W.A.5    Brown, E.N.6
  • 8
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    • Common-input models for multiple neural spike-train data
    • J. Kulkarni and L. Paninski, "Common-input models for multiple neural spike-train data," Network: Computation in Neural Systems, vol.18, no.4, pp. 375-407, 2007.
    • (2007) Network: Computation in Neural Systems , vol.18 , Issue.4 , pp. 375-407
    • Kulkarni, J.1    Paninski, L.2
  • 9
    • 33845459534 scopus 로고    scopus 로고
    • A mathematical framework for inferring connectivity in probabilistic neuronal networks
    • D. Q. Nykamp, "A mathematical framework for inferring connectivity in probabilistic neuronal networks," Math. Biosci., vol.205, pp. 204-251, 2006.
    • (2006) Math. Biosci. , vol.205 , pp. 204-251
    • Nykamp, D.Q.1
  • 10
    • 23044490853 scopus 로고    scopus 로고
    • Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
    • M. Okatan, M. A. Wilson, and E. N. Brown, "Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity," Neural Comput., vol.17, pp. 1927-1961, 2005.
    • (2005) Neural Comput. , vol.17 , pp. 1927-1961
    • Okatan, M.1    Wilson, M.A.2    Brown, E.N.3
  • 16
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    • A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects
    • W. Truccolo, U. T. Eden, M. Fellow, J. D. Donoghue, and E. N. Brown, "A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects," J. Neurophy., vol.93, pp. 1074-1089, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.