引用次数
引用: 782
H-指数: 15
I10-指数 : 21
出版物: 62
Spatio-temporal clustering of firing rates for neural state estimation
A J Brockmeier , Il Park , B Mahmoudi , J C Sanchez
international conference of the ieee engineering in medicine and biology society 2010 6023 -6026
2
2010
Women's health in The BMJ: a data science history.
Eva N Hamulyák , Austin J Brockmeier , Johanna D Killas , Sophia Ananiadou
BMJ Open 10 ( 10)
2020
Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex.
Salvador Dura-Bernal , Kan Li , Austin J Brockmeier , Cliff C Kerr
BMC Neuroscience 15 ( 1) 106
1
2014
Quantifying risk factors in medical reports with a context-aware linear model.
Piotr Przybyła , Austin J Brockmeier , Sophia Ananiadou
Journal of the American Medical Informatics Association 26 ( 6) 537 -546
2019
Representing and decomposing neural potential signals
Jose C Principe , Austin J Brockmeier
Current Opinion in Neurobiology 31 13 -17
10
2015
Eliciting Naturalistic Cortical Responses with a Sensory Prosthesis via Optimized Microstimulation
John S Choi , Austin J Brockmeier , David B McNiel , Lee M von Kraus
Journal of Neural Engineering 13 ( 5) 056007
15
2016
Identifying the instances associated with distribution shifts using the max-sliced bures divergence
Austin J Brockmeier , Claudio Cesar Claros-Olivares , Matthew Emigh , Luis Gonzalo Sanchez Giraldo
Smpte Journal
2
2021
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
Oscar Skean , Jhoan Keider Hoyos Osorio , Austin J Brockmeier , Luis Gonzalo Sanchez Giraldo
arXiv preprint arXiv:2301.08164
2023
Brain state advisory system using calibrated metrics and optimal time-series decomposition
Jose Principe , Austin J Brockmeier
72
2020
Learning recurrent waveforms within EEGs
Austin J Brockmeier , Jose C Principe
IEEE Transactions on Biomedical Engineering 63 ( 1) 43 -54
47
2015
Decoding algorithms for brain–machine interfaces
Austin J Brockmeier , José C Príncipe
Neural engineering 223 -257
7
2013
Metric learning for invariant feature generation in reinforcement learning
Evan Kriminger , Austin J Brockmeier , Luis G Sanchez Giraldo , Jose C Principe
RLDM 2013 68 -68
2
2013
Information-theoretic metric learning: 2-D linear projections of neural data for visualization
Austin J Brockmeier , Luis G Sanchez Giraldo , Matthew S Emigh , Jihye Bae
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE 5586 -5589
18
2013
Projentropy: using entropy to optimize spatial projections
Austin J Brockmeier , Eder Santanna , Luis G Sanchez Giraldo , Jose C Principe
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on 4538 -4542
4
2014
Max-sliced Bures Distance for Interpreting Discrepancies
Austin J Brockmeier , Claudio Cesar Claros , Carlos H Mendoza-Cardenas , Yüksel Karahan
1
2020
An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulation
John Stephen Choi , Marcello Michael DiStasio , Austin J Brockmeier , Joseph Thachil Francis
IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 ( 2) 161 -169
11
2011
Exploring the influence of functional architecture on cortical thickness networks in early psychosis–A longitudinal study
Kristina M Holton , Shi Yu Chan , Austin J Brockmeier , Dost Öngür
NeuroImage 274 120127 -120127
1
2023
Prioritising references for systematic reviews with RobotAnalyst: A user study
Piotr Przybyła , Austin J Brockmeier , Georgios Kontonatsios , Marie‐Annick Le Pogam
Research Synthesis Methods 9 ( 3) 470 -488
31
2018
Learning and exploiting recurrent patterns in neural data
Austin J Brockmeier
University of Florida
9
2014
The representation jensen-rényi divergence
Jhoan Keider Hoyos Osorio , Oscar Skean , Austin J Brockmeier , Luis Gonzalo Sanchez Giraldo
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 4313 -4317
3
2022