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Austin J Brockmeier

Showing results (1-10 of 28) with videos related to

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IEEE Transactions on Bio-Medical Engineering|November 17, 2015
Learning Recurrent Waveforms Within EEGsAustin J Brockmeier, Jose C Principe
Current Opinion in Neurobiology|August 13, 2014
Representing and decomposing neural potential signalsJose C Principe, Austin J Brockmeier
Journal of the American Medical Informatics Association : JAMIA|March 7, 2019
Quantifying risk factors in medical reports with a context-aware linear modelPiotr Przybyła, Austin J Brockmeier, Sophia Ananiadou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Shift-invariant waveform learning on epileptic ECoGCarlos H Mendoza-Cardenas, Austin J Brockmeier
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Joint optimization of algorithmic suites for EEG analysisEder Santana, Austin J Brockmeier, Jose C Principe
BMC Medical Informatics and Decision Making|December 7, 2019
Improving reference prioritisation with PICO recognitionAustin J Brockmeier, Meizhi Ju, Piotr Przybyła, et al.
Acta Neuropsychiatrica|December 9, 2024
Uncovering key predictive channels and clinical variables in the gamma band auditory steady-state response in early-stage psychosis: a longitudinal studyKristina M Holton, Amy Higgins, Austin J Brockmeier, et al.
Neuroinformatics|August 14, 2025
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage PsychosisKristina M Holton, Shi Yu Chan, Austin J Brockmeier, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 29, 2011
An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulationJohn Stephen Choi, Marcello Michael DiStasio, Austin J Brockmeier, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Spatio-temporal clustering of firing rates for neural state estimationAustin J Brockmeier, Il Park, Babak Mahmoudi, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Bio-Medical Engineering|November 17, 2015
Learning Recurrent Waveforms Within EEGsAustin J Brockmeier, Jose C Principe
Current Opinion in Neurobiology|August 13, 2014
Representing and decomposing neural potential signalsJose C Principe, Austin J Brockmeier
Journal of the American Medical Informatics Association : JAMIA|March 7, 2019
Quantifying risk factors in medical reports with a context-aware linear modelPiotr Przybyła, Austin J Brockmeier, Sophia Ananiadou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Shift-invariant waveform learning on epileptic ECoGCarlos H Mendoza-Cardenas, Austin J Brockmeier
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Joint optimization of algorithmic suites for EEG analysisEder Santana, Austin J Brockmeier, Jose C Principe
BMC Medical Informatics and Decision Making|December 7, 2019
Improving reference prioritisation with PICO recognitionAustin J Brockmeier, Meizhi Ju, Piotr Przybyła, et al.
Acta Neuropsychiatrica|December 9, 2024
Uncovering key predictive channels and clinical variables in the gamma band auditory steady-state response in early-stage psychosis: a longitudinal studyKristina M Holton, Amy Higgins, Austin J Brockmeier, et al.
Neuroinformatics|August 14, 2025
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage PsychosisKristina M Holton, Shi Yu Chan, Austin J Brockmeier, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 29, 2011
An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulationJohn Stephen Choi, Marcello Michael DiStasio, Austin J Brockmeier, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Spatio-temporal clustering of firing rates for neural state estimationAustin J Brockmeier, Il Park, Babak Mahmoudi, et al.
Pageof 3