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Debadatta Dash

Showing results (1-10 of 12) with videos related to

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Frontiers in Neuroscience|April 23, 2020
Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) SignalsDebadatta Dash, Paul Ferrari, Jun Wang
Journal of Speech, Language, and Hearing Research : JSLHR|August 6, 2024
Neural Decoding of Spontaneous Overt and Intended SpeechDebadatta Dash, Paul Ferrari, Jun Wang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Decoding Speech from Single Trial MEG Signals Using Convolutional Neural Networks and Transfer LearningDebadatta Dash, Paul Ferrari, Daragh Heitzman, et al.
Sensors (Basel, Switzerland)|April 23, 2020
NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic SignalsDebadatta Dash, Paul Ferrari, Satwik Dutta, et al.
IEEE Access : Practical Innovations, Open Solutions|November 18, 2020
MEG Sensor Selection for Neural Speech DecodingDebadatta Dash, Alan Wisler, Paul Ferrari, et al.
Brain Informatics : International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. International Conference on Brain Informatics (2018 : Arlington, Tex.)|November 27, 2019
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding PerspectiveDebadatta Dash, Paul Ferrari, Saleem Malik, et al.
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
Magnetometers vs Gradiometers for Neural Speech DecodingDebadatta Dash, Paul Ferrari, Abbas Babajani-Feremi, et al.
Elife|September 12, 2025
Sequence action representations contextualize during early skill learningDebadatta Dash, Fumiaki Iwane, William Hayward, et al.
Current Biology : CB|July 13, 2023
Combined low-frequency brain oscillatory activity and behavior predict future errors in human motor skillFumiaki Iwane, Debadatta Dash, Roberto F Salamanca-Giron, et al.
Frontiers in Psychology|June 21, 2024
Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot studyDebadatta Dash, Kristin Teplansky, Paul Ferrari, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|April 23, 2020
Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) SignalsDebadatta Dash, Paul Ferrari, Jun Wang
Journal of Speech, Language, and Hearing Research : JSLHR|August 6, 2024
Neural Decoding of Spontaneous Overt and Intended SpeechDebadatta Dash, Paul Ferrari, Jun Wang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Decoding Speech from Single Trial MEG Signals Using Convolutional Neural Networks and Transfer LearningDebadatta Dash, Paul Ferrari, Daragh Heitzman, et al.
Sensors (Basel, Switzerland)|April 23, 2020
NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic SignalsDebadatta Dash, Paul Ferrari, Satwik Dutta, et al.
IEEE Access : Practical Innovations, Open Solutions|November 18, 2020
MEG Sensor Selection for Neural Speech DecodingDebadatta Dash, Alan Wisler, Paul Ferrari, et al.
Brain Informatics : International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. International Conference on Brain Informatics (2018 : Arlington, Tex.)|November 27, 2019
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding PerspectiveDebadatta Dash, Paul Ferrari, Saleem Malik, et al.
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
Magnetometers vs Gradiometers for Neural Speech DecodingDebadatta Dash, Paul Ferrari, Abbas Babajani-Feremi, et al.
Elife|September 12, 2025
Sequence action representations contextualize during early skill learningDebadatta Dash, Fumiaki Iwane, William Hayward, et al.
Current Biology : CB|July 13, 2023
Combined low-frequency brain oscillatory activity and behavior predict future errors in human motor skillFumiaki Iwane, Debadatta Dash, Roberto F Salamanca-Giron, et al.
Frontiers in Psychology|June 21, 2024
Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot studyDebadatta Dash, Kristin Teplansky, Paul Ferrari, et al.
Pageof 2