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Volumn , Issue , 2013, Pages

Robust learning of low-dimensional dynamics from large neural ensembles

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; LINEAR CONTROL SYSTEMS;

EID: 84898975566     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (29)
  • 1
    • 79251589964 scopus 로고    scopus 로고
    • How advances in neural recording affect data analysis
    • I. H. Stevenson and K. P. Kording, "How advances in neural recording affect data analysis," Nature neuroscience, vol. 14, no. 2, pp. 139-142, 2011.
    • (2011) Nature Neuroscience , vol.14 , Issue.2 , pp. 139-142
    • Stevenson, I.H.1    Kording, K.P.2
  • 3
    • 13644261674 scopus 로고    scopus 로고
    • Optical imaging of neuronal populations during decision-making
    • K. L. Briggman, H. D. I. Abarbanel, and W. B. Kristan, "Optical imaging of neuronal populations during decision-making," Science, vol. 307, no. 5711, pp. 896-901, 2005.
    • (2005) Science , vol.307 , Issue.5711 , pp. 896-901
    • Briggman, K.L.1    Abarbanel, H.D.I.2    Kristan, W.B.3
  • 4
    • 74849088855 scopus 로고    scopus 로고
    • Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex
    • C. K. Machens, R. Romo, and C. D. Brody, "Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex," The Journal of Neuroscience, vol. 30, no. 1, pp. 350-360, 2010.
    • (2010) The Journal of Neuroscience , vol.30 , Issue.1 , pp. 350-360
    • MacHens, C.K.1    Romo, R.2    Brody, C.D.3
  • 5
    • 0141852938 scopus 로고    scopus 로고
    • Intensity versus identity coding in an olfactory system
    • M. Stopfer, V. Jayaraman, and G. Laurent, "Intensity versus identity coding in an olfactory system," Neuron, vol. 39, no. 6, pp. 991-1004, 2003.
    • (2003) Neuron , vol.39 , Issue.6 , pp. 991-1004
    • Stopfer, M.1    Jayaraman, V.2    Laurent, G.3
  • 9
    • 67649610065 scopus 로고    scopus 로고
    • Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
    • B. M. Yu, J. P. Cunningham, G. Santhanam, S. I. Ryu, K. V. Shenoy, and M. Sahani, "Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity," Journal of neurophysiology, vol. 102, no. 1, pp. 614-635, 2009.
    • (2009) Journal of Neurophysiology , vol.102 , Issue.1 , pp. 614-635
    • Yu, B.M.1    Cunningham, J.P.2    Santhanam, G.3    Ryu, S.I.4    Shenoy, K.V.5    Sahani, M.6
  • 11
    • 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, vol. 18, no. 4, pp. 375-407, 2007.
    • (2007) Network: Computation in Neural Systems , vol.18 , Issue.4 , pp. 375-407
    • Kulkarni, J.E.1    Paninski, L.2
  • 12
    • 0038605051 scopus 로고    scopus 로고
    • Estimating a state-space model from point process observations
    • A. Smith and E. Brown, "Estimating a state-space model from point process observations," Neural Computation, vol. 15, no. 5, pp. 965-991, 2003.
    • (2003) Neural Computation , vol.15 , Issue.5 , pp. 965-991
    • Smith, A.1    Brown, E.2
  • 13
    • 0034853839 scopus 로고    scopus 로고
    • A rank minimization heuristic with application to minimum order system approximation
    • M. Fazel, H. Hindi, and S. P. Boyd, "A rank minimization heuristic with application to minimum order system approximation," Proceedings of the American Control Conference., vol. 6, pp. 4734-4739, 2001.
    • (2001) Proceedings of the American Control Conference , vol.6 , pp. 4734-4739
    • Fazel, M.1    Hindi, H.2    Boyd, S.P.3
  • 14
    • 72549110327 scopus 로고    scopus 로고
    • Interior-point method for nuclear norm approximation with application to system identification
    • Z. Liu and L. Vandenberghe, "Interior-point method for nuclear norm approximation with application to system identification," SIAM Journal on Matrix Analysis and Applications, vol. 31, pp. 1235-1256, 2009.
    • (2009) SIAMJournal on Matrix Analysis and Applications , vol.31 , pp. 1235-1256
    • Liu, Z.1    Vandenberghe, L.2
  • 15
    • 84878567534 scopus 로고    scopus 로고
    • Nuclear norm system identification with missing inputs and outputs
    • Z. Liu, A. Hansson, and L. Vandenberghe, "Nuclear norm system identification with missing inputs and outputs," Systems & Control Letters, vol. 62, no. 8, pp. 605-612, 2013.
    • (2013) Systems & Control Letters , vol.62 , Issue.8 , pp. 605-612
    • Liu, Z.1    Hansson, A.2    Vandenberghe, L.3
  • 16
    • 84877724293 scopus 로고    scopus 로고
    • Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
    • L. Buesing, J. Macke, and M. Sahani, "Spectral learning of linear dynamics from generalised-linear observations with application to neural population data," Advances in neural information processing systems, vol. 25, 2012.
    • (2012) Advances in Neural Information Processing Systems , vol.25
    • Buesing, L.1    MacKe, J.2    Sahani, M.3
  • 17
    • 9744239998 scopus 로고    scopus 로고
    • Maximum likelihood estimation of a stochastic integrate-andfire neural encoding model
    • L. Paninski, J. Pillow, and E. Simoncelli, "Maximum likelihood estimation of a stochastic integrate-andfire neural encoding model," Neural computation, vol. 16, no. 12, pp. 2533-2561, 2004.
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2533-2561
    • Paninski, L.1    Pillow, J.2    Simoncelli, E.3
  • 18
    • 0023688346 scopus 로고
    • Maximum likelihood identification of neural point process systems
    • E. Chornoboy, L. Schramm, and A. Karr, "Maximum likelihood identification of neural point process systems," Biological cybernetics, vol. 59, no. 4-5, pp. 265-275, 1988.
    • (1988) Biological Cybernetics , vol.59 , Issue.4-5 , pp. 265-275
    • Chornoboy, E.1    Schramm, L.2    Karr, A.3
  • 21
    • 84878183663 scopus 로고    scopus 로고
    • Point-process principal components analysis via geometric optimization
    • V. Solo and S. A. Pasha, "Point-process principal components analysis via geometric optimization," Neural Computation, vol. 25, no. 1, pp. 101-122, 2013.
    • (2013) Neural Computation , vol.25 , Issue.1 , pp. 101-122
    • Solo, V.1    Pasha, S.A.2
  • 24
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • S. P. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers," Foundations and TrendsR in Machine Learning, vol. 3, no. 1, pp. 1-122, 2011.
    • (2011) Foundations and TrendsR in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.P.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 26
    • 77953133542 scopus 로고    scopus 로고
    • Population decoding of motor cortical activity using a generalized linear model with hidden states
    • V. Lawhern, W. Wu, N. Hatsopoulos, and L. Paninski, "Population decoding of motor cortical activity using a generalized linear model with hidden states," Journal of neuroscience methods, vol. 189, no. 2, pp. 267-280, 2010.
    • (2010) Journal of Neuroscience Methods , vol.189 , Issue.2 , pp. 267-280
    • Lawhern, V.1    Wu, W.2    Hatsopoulos, N.3    Paninski, L.4
  • 28
    • 50049100348 scopus 로고    scopus 로고
    • Spatiotemporal correlations and visual signalling in a complete neuronal population
    • J. W. Pillow, J. Shlens, L. Paninski, A. Sher, A. M. Litke, E. Chichilnisky, and E. P. Simoncelli, "Spatiotemporal correlations and visual signalling in a complete neuronal population," Nature, vol. 454, no. 7207, pp. 995-999, 2008.
    • (2008) Nature , vol.454 , Issue.7207 , pp. 995-999
    • Pillow, J.W.1    Shlens, J.2    Paninski, L.3    Sher, A.4    Litke, A.M.5    Chichilnisky, E.6    Simoncelli, E.P.7
  • 29
    • 84898931360 scopus 로고    scopus 로고
    • Conditional inference for learning the network structure of cortical microcircuits
    • San Diego, CA
    • M. Harrison, "Conditional inference for learning the network structure of cortical microcircuits," in 2012 Joint Statistical Meeting, (San Diego, CA), 2012.
    • (2012) 2012 Joint Statistical Meeting
    • Harrison, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.