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Office: Pacific
Development and Technology, LLC E-mail: ltrejo@pacdel.com Telephone: +1-650-320-8841 (voice/fax)
· Neurocognitive technology for
fatigue prevention and human-system performance optimization · Signal processing, machine
learning and pattern recognition algorithms and applications · Brain-computer interfaces and
human-computer interaction · Experimental design and analysis
for biomedical, neurological, and behavioral research
Winkler, I. Horváth,
J., Weisz, J. & Trejo, L. J. (2009). Deviance
detection in congruent audiovisual speech: Evidence for implicit integrated
audiovisual memory representations. Biological
Psychology, 82, 281–292. Trejo, L. J., Matthews, R., & Allison, B.
Z. (2007). Experimental Design and Testing of
a Multimodal Cognitive Overload Classifier. In Trejo, L. J., Knuth, K., Prado, R., Rosipal, R.,
Kubitz, K., Kochavi, R., Matthews, B., & Zhang., Y. (2007). EEG-based
estimation of mental fatigue: Convergent evidence for a three-state model. In
D.D. Schmorrow, L.M. Reeves (Eds.): Augmented Cognition, HCII 2007, LNAI
4565, pp. 201–211, 2007. © Springer-Verlag Trejo, L J., Kochavi, R., Kubitz, K., Montgomery, L.
D., Rosipal, R., & Matthews, B. (2006, October). EEG-based estimation and classification of mental fatigue. PDT Technical Report No. QGPBF0636B1403. Revised January, 2009. Trejo, L. J., Matthews, B., and Rosipal, R. (2006).
Brain-computer interfaces for 1-D and 2-D cursor control: designs using
volitional control of the EEG spectrum or steady-state visual evoked
potentials. IEEE Trans Neural Syst Rehabil Trejo, L. J., Wheeler, K.R., Jorgensen, C. C., Rosipal,
R., Clanton, S., Matthews, B, Hibbs, A. D., Matthews, R., & Krupka, M.
(2003). Multimodal
neuroelectric interface development. IEEE Transactions on Neural Systems and
Rehabilitation Engineering, 11,
199-204. Rosipal, R. & Trejo, L. J. (2001). Kernel partial least squares in
reproducing kernel Hilbert space. Journal of Machine Learning Research, 2, 97-123. Rosipal, R.,
Girolami, M. and Trejo, L.,
Cichocki, A. (2001). Kernel PCA for feature extraction and de-noising in
non-linear regression. Neural Computing & Applications, 10, 231-243. Rosipal, R., Girolami, M., & Trejo, L. J. (2000, May). Kernel PCA Feature Extraction of
Event-Related Potentials for Human Signal Detection Performance. In H.
Malmgren, M. Borsa, L. Niklasson (eds.), Perspectives in Neural Computation.
Proceedings of the ANNIMAB-1 Conference on Artificial Neural Networks in
Medicine and Biology. Trejo, L. J., & Shensa, M. J. (1999). Feature extraction of
event-related potentials using wavelets: An application to human performance
monitoring. Brain and Language 66, 89-107. Koska, M., Rosipal, R., Konig, A. & Trejo, L. J. (1997). Estimation of human signal
detection performance from event-related potentials using feed-forward neural
network models. In K. Warwick and M. Kárny (Eds.), Computer intensive methods in control and signal processing: The
curse of dimensionality. Kramer,
A. F., Trejo, L. J., &
Humphrey, D. (1996). Psychophysiological measures of human information
processing activities: Potential applications to automated systems. In R.
Parasuraman & J. Mouloua (Eds.), Automation
and Human Performance: Theory and Applications. Trejo, L.
J., Ryan-Jones, D., & Kramer, A. F. (1995). Attentional modulation of the
pitch-change mismatch negativity elicited by frequency differences between
binaurally presented tone bursts. Psychophysiology, 32, 319-328. Trejo, L.
J., Kramer, A. F., & Arnold, J. (1995). Event-related potentials as
indices of display-monitoring performance. Biological Psychology, 40,
33-71. Kramer, A. F., Trejo, L. J., & Humphrey D.
(1995). Assessment of mental workload with task-irrelevant auditory probes. Biological Psychology, 40, 83-100. Snyder, H. L., & Trejo, L. J. (1992). Research
Methods. In Widdel, H. (Ed.), Colour in
Electronic Displays. Trejo, L.
J., Rand, M. N., & Cicerone, C. M. (1989). Consensual pupillary light
reflex in the pigmented rat. Vision
Research, 29, 303-307. Trejo, L.
J., & Cicerone, C. M. (1987). Changes in visual sensitivity with age in
rats with heredity retinal degeneration. Vision
Research, 27, 915-918. Trejo, L.
J. (1985). Retinal ganglion cell loss produced by intraocular kainic acid in
cats: Variation with somal size and eccentricity. Brain Research, 355,
221-230. Trejo, L.
J., & Cicerone, C. M. (1984). Cells in the pretectal olivary nucleus are
in the pathway for the direct light reflex of the pupil in the rat. Brain Research, 300, 49-62. Trejo, L.
J., & Cicerone, C. M. (1982). Retinal sensitivity measured by the
pupillary light reflex in RCS and albino rats. Vision Research, 22,
1163-1171.
Rosipal, R., Trejo, L. J., & Nunez, P. L. (2009). Application of Multi-way EEG Decomposition
for Cognitive Workload Monitoring. In Proceedings of the 6th International Conference on Partial
Least Squares and Related Methods, Vinzi V.E, Tenenhaus M., Guan R. (eds.),
Beijing, China, pp. 145-149, 2009. Trejo,
L. J., Knuth, K., Prado, R., Rosipal, R., Kubitz, K. Kochavi, R., Matthews,
B., & Zhang., Y. (2007). EEG-based
estimation of mental fatigue: Convergent evidence for a three-state model. In Proceedings of the HCI
International 2007 and Augmented Cognition International Conference, Matthews,
R., McDonald, N. J., Anumula, H. &
Trejo, L. J. (2006). Novel hybrid
sensors for unobtrusive recording of human biopotentials. Proceedings of
2nd Annual Augmented Cognition International Conference. To be
published in 2006 by Augmented Cognition International. Marzullo, T. C., Dudley, J. R. ,
Miller, C. R., Trejo, L.
& Kipke D. R. (2005). Spikes, local field potentials, and
electrocorticogram characterization during motor learning in rats for
brain machine interface tasks. Abstract 1991, 2005 27th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society. Wallerius, J., Trejo, L. J, Matthew, R., Rosipal,
R., and Caldwell, J. A. (2005). Robust feature extraction and classification
of EEG spectra for real-time classification of cognitive state. 11th International Conference on Human
Computer Interaction jointly with 1st International Conference on Augmented
Cognition. Trejo, L.
J., Matthews, B., and Rosipal, R. (2005). Brain-Computer Interfaces for 1-D
and 2-D Cursor Control: Designs using Volitional Control of the EEG Spectrum
or Steady-State Evoked Potentials. Brain-Computer Interface Technology. Third
International Meeting, June 14-19, The Rensselaerville Institute. Trejo, L
J., Kochavi, R., Kubitz, K., Montgomery, L. D., Rosipal, R., & Matthews,
B. (2005, April). Measures and models for predicting cognitive fatigue. In
John A. Caldwell & Nancy Jo Wesensten (eds.), Biomonitoring for Physiological and Cognitive Performance During
Military Operations, Proceedings of Symposium OR05 Defense and
Security, 28 March-1 April 2005, Kissimmee, FL. Proceedings of SPIE, 5797,
105-115. Trejo, L.
J., Kochavi, R., Kubitz, K., Montgomery, L. D., Rosipal, R., & Matthews,
B. (2004, October). Measures and models for estimating and predicting
cognitive fatigue. Fourty-fourth Annual Meeting of the Society for
Psychophysiological Research, October 20-24, Santa Fe, New Mexico, USA. Rosipal, R., & Trejo, L. (2004, October). Kernel PLS
estimation of single-trial event-related potentials. Fourty-fourth Annual
Meeting of the Society for Psychophysiological Research, October 20-24, Santa
Fe, New Mexico, USA. Rosipal, R., Trejo, L. J., and Matthews, B. (2003, August). Kernel PLS-SVC for
Linear and Nonlinear Classification. In Proceedings of the Twentieth
International Conference on Machine Learning (ICML-2003), 640-647. Rosipal, R., Trejo, L. J., Matthews, B, and Wheeler, K. (2003, September).
Nonlinear kernel-based chemometrics tools: a machine learning approach.
PLS’03. Third International Symposium on PLS and Related Methods. ISEGI – Universidade Nova de Lisboa. Knuth K.H., Clanton S.T., Shah
A.S., Truccolo W.A., Ding M., Bressler S.L., Trejo L.J., Schroeder C.E. (2002, November). Multiple component
event-related potential (mcERP) estimation. Soc. Neurosci. Abstr.,
Vol. 28, Prog. No. 506.4. Trejo, L. J., Wheeler, K.R.,
Jorgensen, C. C., Rosipal, R. & Hibbs, A. D. (2002, June). Multimodal neuroelectric interface
development. Brain-Computer Interface Technology: Moving Beyond
Demonstrations, June 12-16, 2002, Rensselaerville Institute, Trejo, L. J., Johnson, T., & Hyatt, A. (2000, June). Visual-auditory interactions and
mismatch negativity: A study of the McGurk effect. Second International
Congress on Mismatch Negativity and its Clinical Applications. Rosipal, R., Girolami, M., & Trejo, L. J.
(2000, May).
Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal
Detection Performance. In H. Malmgren, M. Borsa, L. Niklasson (eds.),
Perspectives in Neural Computation. Proceedings of the ANNIMAB-1 Conference
on Artificial Neural Networks in Medicine and Biology. 321-326. Koska, M., Rosipal, R., Konig, A.
& Trejo, L. J. (1997). Estimation of human signal detection performance
from event-related potentials using feed-forward neural network models. In K.
Warwick and M. K??rny (Eds.), Computer intensive methods in control and
signal processing: The curse of dimensionality. Trejo, L. J., & Johnson, T. M.
(1996, October). The MMN is sensitive to perceptual changes in the absence of
physical changes in an auditory stimulus. Society for Psychophysiological
Research, Thirty-Seventh Annual Meeting. Koska, M., Rosipal, R., Konig, A.,
& Trejo, L. J. (1996, June). Estimation of human signal detection
performance from event-related potentials using feed-forward neural network
model. Trejo, L. J., & Kramer, A. F. (1995,
November). Psychophysiological measurement of situation awareness.
International Conference on Experimental Analysis and Measurement of
Situation Awareness. Trejo, L. J., & Mullane, M. M. (1995, October). ERPs and visual
signal detection Performance: Classification functions based on wavelet
decompositions. Society for Psychophysiological Research, Thirty-Fifth Annual
Meeting, Trejo, L. J., & Shensa, M. J.
(1993). Linear and neural network models for predicting human signal
detection performance from event-related potentials: A comparison of the
wavelet transform with other feature extraction methods. Proceedings of
the Fifth Workshop on Neural Networks: Academic/Industrial/NASA/Defense, SPIE
Volume 2204 (pp. 153-161). Trejo, L. J., & Shensa, M. J.
(1993). Pattern recognition neural networks for human event-related
potentials (ERP): A comparison of feature extraction methods. In J. I. Borack
(ed.), Applications of Artificial Neural Networks and Related Technologies
to Manpower, Personnel, and Training (Report No. AP-93-10). Trejo, L. J., Ryan-Jones, D., &
Kramer, A. F. (1992, October). Attentional modulation of the pitch-change
mismatch negativity. Society for Psychophysiological Research, Annual
Meeting, Trejo, L. J., Kramer, A. F., &
Humphrey, D. (1992, October). Differential workload sensitivity of early and
late components of the auditory probe ERP. Society for Psychophysiological
Research, Annual Meeting, Blankenship, M. H., Trejo,
L. J., Lewis, G. W., & Sorenson, R. C. (1992, October). P300 and
dual-task mental workload assessment: Increased workload sensitivity after
removing N1 covariance. Society for Psychophysiological Research, Annual
Meeting, Trejo, L. J. & Kramer, A. F. (1992,
June) ERP indices of performance quality in signal detection, running memory,
and computation. Fourth Annual Convention of the American Psychological
Society. Trejo, L. J., Lewis, G. W., &
Kramer, A. F. (1991, October). ERP indices of human performance: effects of
stimulus relevance and type of information processing. Society for
Psychophysiological Research, Annual Meeting. Kaylani, T., Mazzara, M.,
DasGupta, S., Hohenberger, M., & Trejo , L. J. (1991, February).
Classification of ERP signals using neural networks. Proceedings of the
Second Workshop on Neural Networks: Academic/Industrial/NASA/Defense, pp.
737-742. Space Power Institute: DasGupta, S., Hohenberger, M., Trejo,
L. J., & Mazzara, M. (1990, February). Effect of using peak amplitudes of
ERP signals for a class of neural network classification. Proceedings of
the First Workshop on Neural Networks: Academic/Industrial/NASA/Defense,
pp. 101-114. Space Power Institute: DasGupta, S., Hohenberger, M., Trejo,
L., & Kaylani, T. (1990, April). Effect of data compression of ERP
signals preprocessed by FWT algorithm upon a neural network classifier. Proceedings
of the 23rd Annual Simulation Symposium. Lewis, G. W., Trejo, L. J.,
Inlow, M., & Blankenship, M. H. (1989, October). Short term changes in
the neuromagnetic evoked field. 19th Annual Meeting of the Society for
Neuroscience. Trejo, L. J., & Lewis, G. W. (1989,
October). Individual differences in classification of transient, isoluminant,
chromatic signals: A behavioral and electrophysiological analysis. Annual
Meeting of the Optical Society of Lewis, G. W., Trejo, L. J.,
Naitoh, P., Blankenship, M. H., & Inlow, M. (1989). Temporal variability
of the neuromagnetic field: Implications for human performance measurement.
In Williamson, S. J., Hoke, M., Stroink, G., & Kotani, M. Advances in
Biomagnetism, pp. 217-220. Trejo, L. J., & Lewis, G. W.
(1988a). Sensitivity to hue differences measured by visual evoked potentials.
In D. Eggleson, (Ed.), First Navy Independent Research/Independent
Exploratory Development Symposium, Volume 1 (CPIA Publication 492), pp.
309-316. Lewis, G. W., Trejo, L. J.,
Nunez, P., Weinberg, H., & Naitoh, P. (1988). Evoked neuromagnetic
fields: Implications for indexing performance. In K. Atsumi, T. Katila, M.
Kotani, S. J. Williamson, & S. Ueno (Eds.), Biomagnetism 1987.
Proceedings of the Sixth International Conference on Biomagnetism. Lewis, G. W., Trejo, L. J.,
Trejo, L. J. (1983). Selective
neurotoxic effects of kainic acid upon cat retinal ganglion cells. Invest.
Ophthalmol. Vis. Sci. Suppl . 24, 261. Trejo, L. J., & Cicerone, C. M
(1981). Asymmetry of ON and OFF cell responses in pupillary light reflex
pathways of the rat. Invest. Ophthalmol. Vis. Sci. Suppl. 20,
15. Trejo, L. J., & Cicerone, C. M.
(1979). The pupillary light reflex in rats with hereditary retinal
degeneration. Optical Society of Trejo, L. J., & Cicerone, C. M.
(1978). Pupillary light reflex shows shift from photopic to scotopic spectral
sensitivity with age in rats (RCS) with retinal dystrophy. Invest.
Ophthalmol. Vis. Sci. Suppl., 114.
Rosipal R., & Trejo, L.
J. (2001, February). Kernel Partial Least Squares Regression in RKHS.
Technical report, CIS Department, Rosipal R., Trejo L.J., and Cichocki A.
(2000). Kernel
principal component regression with EM approach to nonlinear principal
components extraction. Technical report, RIKEN. Trejo, L. J., Mullane, M., &
Stewart, J. (May, 1995). Event-related potentials and
electro-encephalograms in adaptive operator training. NPRDC Technical
Report (TN-95-3). Trejo, L. J., Inlow, M., Stanny, R. R.,
Morey, W. A., Makeig, S., Kobus, D. A., & Hillyard, S. A. (1991). The
P300 component of the auditory event-related potential: Interlaboratory
consistency and test-retest reliability (NPRDC Technical Report TR-91-6).
Ryan-Jones, D. L., Lewis, G. W., Trejo,
L. J., & Hemmer, J. D. (1990). Brain activity during visual recognition.
In W. E. Montague, & C. C. Scheifers, (Eds.), Independent Research and
Exploratory Development Programs: FY89 Annual Report, (NPRDC Report AP
90-6), pp. 7-20. Trejo, L. J., Lewis, G. W., &
Blankenship, M. H. (1990). Brain Activity during decision-making: III.
Relationships between probe-evoked potentials, simulation performance, and
on-job performance (NPRDC Technical Note 90-09). Trejo, L. J., & Lewis, G. W.
(1989). Brain mechanisms for human color vision: Implications for display
systems. In W. E. Montague, & C. C. Scheifers, (Eds.), Independent
Research and Exploratory Development Programs: FY88 Annual Report, (NPRDC
Report AP 89-7), pp. 18-32. Blankenship, M. H., Trejo,
L. J., & Lewis, G. W. (1988a). Brain activity during tactical
decision-making: IV. Event-related potentials as indices of selective
attention and cognitive workload (NPRDC Technical Note 89-6). Blankenship, M. H., Trejo,
L. J., & Lewis, G. W. (1988b). Brain activity during tactical
decision-making: V. A cross-study validation of evoked potentials as indices
of cognitive workload (NPRDC Technical Note 89-7). Trejo, L. J., & Lewis, G. W.
(1988b). Brain mechanisms of human color vision-implications for display
systems. In W. E. Montague, (Ed.), Independent Research and Independent
Exploratory Development Programs, FY87 Annual Report (NPRDC Annual Report
AP 88-5). Trejo, L. H., Lewis, G. W., &
Blankenship, M. H. (1987). Brain activity during tactical decision-making:
II. Probe-evoked potentials and workload (NPRDC Tech. Note 88-12). Trejo, L. J., & Lewis G. W. (1987).
Brain mechanism for human color vision. In A. M. Crawford & M. H.
Metcalfe (Eds.), FY86 Independent Research/Independent Exploratory
Development (NPRDC Special Report 87-1). Trejo, L. J. (1986). Brain activity
during tactical decision-making: PLS Tools in Electroencephalography. (2009, September). Invited presentation. The
6th International Conference on Partial Least Squares and Related Methods.
Sept. 4th – 7th, 2009, Capacitive Sensors and Physiological Gauges for Human-Machine
Interaction
(2006, June). Invited seminar. Wadsworth Institute, Viva Technology Program (2004, May). Invited educational outreach presentation on
career development and motivation for high school students. Signal Processing and Machine-learning Algorithms for Brain-Computer
Interfaces.
(2003, July). Invited seminar. Redwood
Neuroscience Institute. Signal Processing and Machine-learning Algorithms for Brain-Computer
Interfaces.
(2003, April). Invited seminar. ERPs and EEGs for Personnel Assessment: Reality or
Fantasy? (1996, June). Invited speaker. ICON VI.
Sixth International Cognitive Neuroscience Meeting. Applications of wavelets to
on-line measurement and classification of event-related potentials. (1996, January). Invited speaker.
Physiological Measurement
Techniques (1995,
November). Invited panelist. International Conference on Experimental
Analysis and Measurement of Situation Awareness, Event-related potentials, EEG and
mental workload estimation: Bridging the gap between the laboratory and the
workplace (1995,
October). Invited panelist, Symposium on Recent Advances in the
Psychophysiology of Mental Workload. Society for Psychophysiological
Research, Thirty-Fifth Annual Meeting, Quantitative relationships between
event-related potentials and human performance (1993, November). Invited
participant, EEG in Basic and Applied Settings Meeting, Air Force Human
Engineering Laboratory, Predicting human performance from
EEG and event-related potentials (1993, November). Plenary address, 1993 International
Simulation Technology Multiconference. Wavelet analyses of brain activity
and cognition
(1993, October). Invited participant, Third Meeting on Neural Constraints on
Cognitive Architectures, Office of Naval Research and Learning Research and Applications of event-related
potentials to performance assessment (1993, April). Invited address, Department of Psychology, An overview of human performance
research at the Navy Personnel Research and Analysis of human brain electrical
activity: Towards real-time prediction of human performance (1989, October). Invited address,
Department of Electrical Engineering, Individual differences in visual
evoked potentials at isoluminance (1987, April). Invited address, Department of Psychology,
Brain mechanisms of human color
vision: Implications for display systems (1987, September). Invited address, Human-computer
interaction Group, Naval Research Laboratory, Retinal ganglion all loss produced
by intraocular kainic acid in cats; variation with somal size and
eccentricity
(1984, June). Invited address, Neurological Sciences Institute,
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