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Volumn , Issue , 2011, Pages 3-10

Fast PCA for processing calcium-imaging data from the brain of drosophila melanogaster

Author keywords

approximate pca; biological image mining; monte carlo algorithm; source separation

Indexed keywords

ANTENNAL LOBES; APPROXIMATE PCA; BIOLOGICAL SIGNALS; BRAIN ACTIVITY; DATA SIZE; DIMENSIONALITY REDUCTION; DROSOPHILA MELANOGASTER; FAST PCA; FRUIT FLIES; HIGH QUALITY; IMAGE MINING; MONTE CARLO ALGORITHM; PRIORI KNOWLEDGE; SOURCE SEPARATION;

EID: 83255176136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2064696.2064700     Document Type: Conference Paper
Times cited : (3)

References (24)
  • 2
    • 33751115359 scopus 로고    scopus 로고
    • Fast Monte Carlo algorithms for matrices I: Approximating matrix multiplication
    • DOI 10.1137/S0097539704442684
    • P. Drineas, R. Kannan, and M. W. Mahoney. Fast Monte Carlo algorithms for matrices I: Approximating matrix multiplication. SIAM J. Comput., 36(1):132-157, 2006. (Pubitemid 46374021)
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 132-157
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 3
    • 33751075906 scopus 로고    scopus 로고
    • Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix
    • DOI 10.1137/S0097539704442696
    • P. Drineas, R. Kannan, and M. W. Mahoney. Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix. SIAM J. Comput., 36(1):158-183, 2006. (Pubitemid 46374022)
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 158-183
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 4
    • 69049098131 scopus 로고    scopus 로고
    • Associative Conditioning Tunes Transient Dynamics of Early Olfactory Processing
    • P. C. Fernandez, F. F. Locatelli, N. Person-Rennell, G. Deleo, and B. H. Smith. Associative Conditioning Tunes Transient Dynamics of Early Olfactory Processing. J. Neurosci., 29(33):10191-10202, 2009.
    • (2009) J. Neurosci. , vol.29 , Issue.33 , pp. 10191-10202
    • Fernandez, P.C.1    Locatelli, F.F.2    Person-Rennell, N.3    Deleo, G.4    Smith, B.H.5
  • 5
    • 77955899174 scopus 로고    scopus 로고
    • Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome
    • C. G. Galizia, D. Münch, M. Strauch, A. Nissler, and S. Ma. Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome. Chem. Senses, 35(7):551-563, 2010.
    • (2010) Chem. Senses , vol.35 , Issue.7 , pp. 551-563
    • Galizia, C.G.1    Münch, D.2    Strauch, M.3    Nissler, A.4    Ma, S.5
  • 6
    • 0004236492 scopus 로고    scopus 로고
    • (3rd ed.). Johns Hopkins University Press, Baltimore, MD, USA
    • G. H. Golub and C. F. Van Loan. Matrix computations (3rd ed.). Johns Hopkins University Press, Baltimore, MD, USA, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 7
    • 77952238050 scopus 로고    scopus 로고
    • High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision
    • May
    • B. F. Grewe, D. Langer, H. Kasper, B. M. Kampa, and F. Helmchen. High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision. Nat Meth, 7(5):399-405, May 2010.
    • (2010) Nat Meth , vol.7 , Issue.5 , pp. 399-405
    • Grewe, B.F.1    Langer, D.2    Kasper, H.3    Kampa, B.M.4    Helmchen, F.5
  • 8
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • DOI 10.1016/S0893-6080(00)00026-5, PII S0893608000000265
    • A. Hyvärinen and E. Oja. Independent component analysis: algorithms and applications. Neural Networks, 13(4-5):411-430, 2000. (Pubitemid 30447427)
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 12
    • 38349032884 scopus 로고    scopus 로고
    • Feature selection for identifying critical variables of principal components based on k-nearest neighbor rule
    • G. Qiu, C. Leung, X. Xue, and R. Laurini, editors, VISUAL, Springer
    • Y. Li and B.-L. Lu. Feature selection for identifying critical variables of principal components based on k-nearest neighbor rule. In G. Qiu, C. Leung, X. Xue, and R. Laurini, editors, VISUAL, volume 4781 of Lecture Notes in Computer Science, pages 193-204. Springer, 2007.
    • (2007) Lecture Notes in Computer Science , vol.4781 , pp. 193-204
    • Li, Y.1    Lu, B.-L.2
  • 13
    • 17444406668 scopus 로고    scopus 로고
    • Identifying critical variables of principal components for unsupervised feature selection
    • K. Z. Mao. Identifying critical variables of principal components for unsupervised feature selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 35(2):339-344, 2005.
    • (2005) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.35 , Issue.2 , pp. 339-344
    • Mao, K.Z.1
  • 14
    • 70349129483 scopus 로고    scopus 로고
    • Automated analysis of cellular signals from large-scale calcium imaging data
    • E. A. Mukamel, A. Nimmerjahn, and M. J. Schnitzer. Automated analysis of cellular signals from large-scale calcium imaging data. Neuron, 63(6):pp.747-760, 2009.
    • (2009) Neuron , vol.63 , Issue.6 , pp. 747-760
    • Mukamel, E.A.1    Nimmerjahn, A.2    Schnitzer, M.J.3
  • 16
    • 33751091278 scopus 로고    scopus 로고
    • Independent component analysis of high-resolution imaging data identifies distinct functional domains
    • DOI 10.1016/j.neuroimage.2006.08.031, PII S105381190600872X
    • J. Reidl, J. Starke, D. Omer, A. Grinvald, and H. Spors. Independent component analysis of high-resolution imaging data identifies distinct functional domains. NeuroImage, 34(1):94-108, January 2007. (Pubitemid 44765239)
    • (2007) NeuroImage , vol.34 , Issue.1 , pp. 94-108
    • Reidl, J.1    Starke, J.2    Omer, D.B.3    Grinvald, A.4    Spors, H.5
  • 17
    • 58149396904 scopus 로고    scopus 로고
    • Olfactory information processing in the Drosophila antennal lobe: Anything goes?
    • Dec
    • A. F. Silbering, R. Okada, K. Ito, and C. G. Galizia. Olfactory information processing in the Drosophila antennal lobe: anything goes? J Neurosci, 28(49):13075-13087, Dec 2008.
    • (2008) J Neurosci , vol.28 , Issue.49 , pp. 13075-13087
    • Silbering, A.F.1    Okada, R.2    Ito, K.3    Galizia, C.G.4
  • 18
    • 0036334838 scopus 로고    scopus 로고
    • Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions
    • DOI 10.1006/nimg.2001.0986
    • J. V. Stone, J. Porrill, N. R. Porter, and I. D. Wilkinson. Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions. NeuroImage, 15(2):407-421, 2002. (Pubitemid 34852550)
    • (2002) NeuroImage , vol.15 , Issue.2 , pp. 407-421
    • Stone, J.V.1    Porrill, J.2    Porter, N.R.3    Wilkinson, I.D.4
  • 19
    • 83255187298 scopus 로고    scopus 로고
    • Registration to a neuroanatomical reference atlas - Identifying glomeruli in optical recordings of the honeybee brain
    • Proceedings of the GCB 2008, Dresden, Germany, GI
    • M. Strauch and C. G. Galizia. Registration to a neuroanatomical reference atlas - identifying glomeruli in optical recordings of the honeybee brain. In Proceedings of the GCB 2008, Dresden, Germany, volume 136 of LNI, pages 85-95. GI, 2008.
    • (2008) LNI , vol.136 , pp. 85-95
    • Strauch, M.1    Galizia, C.G.2
  • 20
    • 33646172994 scopus 로고    scopus 로고
    • Functional MRI analysis by a novel spatiotemporal ICA algorithm
    • ICANN
    • F. J. Theis, P. Gruber, I. R. Keck, and E. W. Lang. Functional MRI analysis by a novel spatiotemporal ICA algorithm. In ICANN, Lecture Notes in Computer Science, volume 3696, pages 677-682, 2005.
    • (2005) Lecture Notes in Computer Science , vol.3696 , pp. 677-682
    • Theis, F.J.1    Gruber, P.2    Keck, I.R.3    Lang, E.W.4
  • 23
    • 77957572870 scopus 로고    scopus 로고
    • Parallel Colt: A high-performance Java library for scientific computing and image processing
    • September
    • P. Wendykier and J. G. Nagy. Parallel Colt: A high-performance Java library for scientific computing and image processing. ACM Trans. Math. Softw., 37:31:1-31:22, September 2010.
    • (2010) ACM Trans. Math. Softw. , vol.37
    • Wendykier, P.1    Nagy, J.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.