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Garett D. Johnson
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2020 – today
- 2023
- [c8]Michael Dexheimer, Garett D. Johnson, Jerry J. Shih, Christian Herff, Dean J. Krusienski:
Modeling of Perceived Musical Rhythms Using Electrocorticography. SMC 2023: 4758-4763 - 2020
- [c7]Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach. INTERSPEECH 2020: 2777-2781
2010 – 2019
- 2019
- [j1]Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings. Neurocomputing 342: 145-151 (2019) - [c6]Srdjan Lesaja, Christian Herff, Garett D. Johnson, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
Decoding Lip Movements During Continuous Speech using Electrocorticography. NER 2019: 522-525 - 2018
- [c5]Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
interpretation of convolutional neural networks for speech regression from electrocorticography. ESANN 2018 - 2016
- [c4]Yichao Yang, Garett D. Johnson, Dean J. Krusienski, Siqi Guo, Cheng Lin, Zhili Hao:
A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues. BIODEVICES 2016: 83-92 - [c3]Christian Herff, Garett D. Johnson, Lorenz Diener, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Towards direct speech synthesis from ECoG: A pilot study. EMBC 2016: 1540-1543 - 2011
- [c2]Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski:
The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control. HCI (20) 2011: 525-527
2000 – 2009
- 2009
- [c1]Garett D. Johnson, Dean J. Krusienski:
Ensemble SWLDA Classifiers for the P300 Speller. HCI (2) 2009: 551-557
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