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Charles F. Cadieu - Publications

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
visual system
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17/22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Issa EB, Cadieu CF, DiCarlo JJ. Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals. Elife. 7. PMID 30484773 DOI: 10.7554/eLife.42870  0.778
2018 Issa EB, Cadieu CF, DiCarlo JJ. Author response: Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals Elife. DOI: 10.7554/Elife.42870.012  0.753
2014 Cadieu CF, Hong H, Yamins DL, Pinto N, Ardila D, Solomon EA, Majaj NJ, DiCarlo JJ. Deep neural networks rival the representation of primate IT cortex for core visual object recognition. Plos Computational Biology. 10: e1003963. PMID 25521294 DOI: 10.1371/Journal.Pcbi.1003963  0.739
2014 Yamins DL, Hong H, Cadieu CF, Solomon EA, Seibert D, DiCarlo JJ. Performance-optimized hierarchical models predict neural responses in higher visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 111: 8619-24. PMID 24812127 DOI: 10.1073/Pnas.1403112111  0.78
2013 Yamins D, Hong H, Cadieu C, Dicarlo JJ. Hierarchical modular optimization of convolutional networks achieves representations similar to Macaque IT and human ventral stream Advances in Neural Information Processing Systems.  0.53
2012 Canolty RT, Cadieu CF, Koepsell K, Ganguly K, Knight RT, Carmena JM. Detecting event-related changes of multivariate phase coupling in dynamic brain networks. Journal of Neurophysiology. 107: 2020-31. PMID 22236706 DOI: 10.1152/Jn.00610.2011  0.736
2012 Cadieu CF, Olshausen BA. Learning intermediate-level representations of form and motion from natural movies. Neural Computation. 24: 827-66. PMID 22168556 DOI: 10.1162/NECO_a_00247  0.658
2012 Canolty RT, Cadieu CF, Koepsell K, Knight RT, Carmena JM. Multivariate phase-amplitude cross-frequency coupling in neurophysiological signals. Ieee Transactions On Bio-Medical Engineering. 59: 8-11. PMID 22020662 DOI: 10.1109/Tbme.2011.2172439  0.706
2010 Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM. Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies. Proceedings of the National Academy of Sciences of the United States of America. 107: 17356-61. PMID 20855620 DOI: 10.1073/Pnas.1008306107  0.719
2010 Olshausen B, Cadieu C. Learning invariant and variant components of time-varying natural images Journal of Vision. 7: 964-964. DOI: 10.1167/7.9.964  0.585
2010 Cadieu C, Kouh M, Riesenhuber M, Poggio T. Shape representation in V4: Investigating position-specific tuning for boundary conformation with the standard model of object recognition Journal of Vision. 5: 671-671. DOI: 10.1167/5.8.671  0.737
2010 Cadieu CF, Koepsell K. Phase coupling estimation from multivariate phase statistics Neural Computation. 22: 3107-3126. DOI: 10.1162/Neco_A_00048  0.716
2009 Olshausen BA, Cadieu CF, Warland DK. Learning real and complex overcomplete representations from the statistics of natural images Proceedings of Spie - the International Society For Optical Engineering. 7446. DOI: 10.1117/12.825882  0.637
2009 Cadieu CF, Olshausen BA. Learning transformational invariants from natural movies Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 209-216.  0.542
2007 Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. A quantitative theory of immediate visual recognition. Progress in Brain Research. 165: 33-56. PMID 17925239 DOI: 10.1016/S0079-6123(06)65004-8  0.729
2007 Cadieu C, Kouh M, Pasupathy A, Connor CE, Riesenhuber M, Poggio T. A model of V4 shape selectivity and invariance. Journal of Neurophysiology. 98: 1733-50. PMID 17596412 DOI: 10.1152/Jn.01265.2006  0.731
2007 Olshausen BA, Cadieu C, Culpepper J, Warland DK. Bilinear models of natural images Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.715515  0.678
Low-probability matches (unlikely to be authored by this person)
2010 Tsao DY, Livingstone MS, Cadieu CF. Object Recognition: Physiological and Computational Insights Primate Neuroethology. DOI: 10.1093/acprof:oso/9780195326598.003.0024  0.174
2021 Narang A, Bae R, Hong H, Thomas Y, Surette S, Cadieu C, Chaudhry A, Martin RP, McCarthy PM, Rubenson DS, Goldstein S, Little SH, Lang RM, Weissman NJ, Thomas JD. Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use. Jama Cardiology. PMID 33599681 DOI: 10.1001/jamacardio.2021.0185  0.143
2020 Narang A, Bae R, Hong H, Thomas Y, Surette S, Cadieu C, Chaudhry A, Martin R, Rubenson DS, Goldstein SA, Little SH, Lang R, Weissman NJ, Thomas J. ACQUISITION OF DIAGNOSTIC ECHOCARDIOGRAPHIC IMAGES BY NOVICES USING A DEEP LEARNING BASED IMAGE GUIDANCE ALGORITHM Journal of the American College of Cardiology. 75: 1564. DOI: 10.1016/s0735-1097(20)32191-4  0.123
2000 Chen L, Li B, Cadieu CF, Theodoropoulos T, Cadieu FJ. Nanophase dispersed SmCo films with high remanence and corrosion resistance Journal of Applied Physics. 87: 6128-6130.  0.01
1998 Cadieu FJ, Rani R, Qian XR, Cadieu CF, Chen L, Mendoza W, Shaheeen SA. Polycrystalline and laminated La0.7Sr0.3MnO 3 films made by pulsed laser deposition Journal of Applied Physics. 83: 7196-7197.  0.01
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