Kenneth Kreutz-Delgado

Title(s)Professor, Electrical and Computer Engineering
SchoolAcademic Aff
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Martínez-Cancino R, Heng J, Delorme A, Kreutz-Delgado K, Sotero RC, Makeig S. Measuring transient phase-amplitude coupling using local mutual information. Neuroimage. 2019 01 15; 185:361-378. PMID: 30342235.
      View in: PubMed
    2. Chen CF, Kreutz-Delgado K, Sereno MI, Huang RS. Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. Neuroimage. 2019 01 15; 185:58-71. PMID: 30315910.
      View in: PubMed
    3. Ojeda A, Kreutz-Delgado K, Mullen T. Fast and robust Block-Sparse Bayesian learning for EEG source imaging. Neuroimage. 2018 07 01; 174:449-462. PMID: 29596978.
      View in: PubMed
    4. Pion-Tonachini L, Makeig S, Kreutz-Delgado K. Crowd labeling latent Dirichlet allocation. Knowl Inf Syst. 2017 Dec; 53(3):749-765. PMID: 30416242.
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    5. Chen CF, Kreutz-Delgado K, Sereno MI, Huang RS. Validation of periodic fMRI signals in response to wearable tactile stimulation. Neuroimage. 2017 04 15; 150:99-111. PMID: 28193488.
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    6. Pedroni BU, Das S, Arthur JV, Merolla PA, Jackson BL, Modha DS, Kreutz-Delgado K, Cauwenberghs G. Mapping Generative Models onto a Network of Digital Spiking Neurons. IEEE Trans Biomed Circuits Syst. 2016 08; 10(4):837-54. PMID: 27214915.
      View in: PubMed
    7. Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G. Event-driven contrastive divergence: neural sampling foundations. Front Neurosci. 2015; 9:104. PMID: 25873857; PMCID: PMC4379871.
    8. Broccard FD, Mullen T, Chi YM, Peterson D, Iversen JR, Arnold M, Kreutz-Delgado K, Jung TP, Makeig S, Poizner H, Sejnowski T, Cauwenberghs G. Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disorders. Ann Biomed Eng. 2014 Aug; 42(8):1573-93. PMID: 24833254; PMCID: PMC4099421.
    9. Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G. Event-driven contrastive divergence for spiking neuromorphic systems. Front Neurosci. 2013; 7:272. PMID: 24574952; PMCID: PMC3922083.
    10. Balkan O, Bigdely-Shamlo N, Kreutz-Delgado K, Makeig S. Basis selection for maximally independent EEG sources. Conf Proc IEEE Eng Med Biol Soc. 2014; 2014:6639-42. PMID: 25571518.
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    11. Bigdely-Shamlo N, Mullen T, Kreutz-Delgado K, Makeig S. Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inference. Neuroimage. 2013 May 15; 72:287-303. PMID: 23370059; PMCID: PMC4082972.
    12. Burns MD, Bigdely-Shamlo N, Smith NJ, Kreutz-Delgado K, Makeig S. Comparison of averaging and regression techniques for estimating Event Related Potentials. Conf Proc IEEE Eng Med Biol Soc. 2013; 2013:1680-3. PMID: 24110028.
      View in: PubMed
    13. Bigdely-Shamlo N, Kreutz-Delgado K, Kothe C, Makeig S. EyeCatch: data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. Conf Proc IEEE Eng Med Biol Soc. 2013; 2013:5845-8. PMID: 24111068; PMCID: PMC4136453.
    14. Cao C, Akalin Acar Z, Kreutz-Delgado K, Makeig S. A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. Conf Proc IEEE Eng Med Biol Soc. 2012; 2012:1546-9. PMID: 23366198; PMCID: PMC4139402.
    15. Murray JF, Kreutz-Delgado K. Visual recognition and inference using dynamic overcomplete sparse learning. Neural Comput. 2007 Sep; 19(9):2301-52. PMID: 17650062.
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    16. Kreutz-Delgado K, Murray JF, Rao BD, Engan K, Lee TW, Sejnowski TJ. Dictionary learning algorithms for sparse representation. Neural Comput. 2003 Feb; 15(2):349-96. PMID: 12590811; PMCID: PMC2944020.
    17. Gough DA, Kreutz-Delgado K, Bremer TM. Frequency characterization of blood glucose dynamics. Ann Biomed Eng. 2003 Jan; 31(1):91-7. PMID: 12572659.
      View in: PubMed
    18. Demers D, Kreutz-Delgado K. Canonical parameterization of excess motor degrees of freedom with self-organizing maps. IEEE Trans Neural Netw. 1996; 7(1):43-55. PMID: 18255557.
      View in: PubMed