Rosa Q. So

33 papers C 1Journal 5Unranked 27
YearRankTypeTitle / Venue / Authors
2024 J jnl
Spike-Weighted Spiking Neural Network with Spiking Long Short-Term Memory: A Biomimetic Approach to Decoding Brain Signals.
Algorithms
Kyle McMillan, Rosa Q. So, Camilo Libedinsky, Kai Keng Ang, Brian Premchand
2023 — conf
Early Prediction of Wound Healing Outcome Based on Chronic Wound Registry Database.
EMBC
Ruchir Srivastava, Ee Ping Ong, David Y. Y. Tan, Jingxian Zhang, Kyaw Kyar Toe, Priya Bishnoi, Yi Zhen Ng, Rosa Q. So
2022 — conf
Information sparseness in cortical microelectrode channels while decoding movement direction using an artificial neural network.
EMBC
Brian Premchand, Kyaw Kyar Toe, Chuanchu Wang, Camilo Libedinsky, Kai Keng Ang, Rosa Q. So
2021 — conf
Intention Estimation Based Adaptive Unscented Kalman Filter for Online Neural Decoding.
EMBC
Han Wei Ng, Brian Premchand, Kyaw Kyar Toe, Camilo Libedinsky, Rosa Q. So
2020 J jnl
A Brain-Computer Interface Framework Based on Compressive Sensing and Deep Learning.
IEEE Consumer Electron. Mag.
Ritu Ranjan Shrivastwa, Vikramkumar Pudi, Duo Chen, Rosa Q. So, Anupam Chattopadhyay, Cuntai Guan
2020 — conf
Decoding movement direction from cortical microelectrode recordings using an LSTM-based neural network.
EMBC
Brian Premchand, Kyaw Kyar Toe, Chuanchu Wang, Shoeb Shaikh, Camilo Libedinsky, Kai Keng Ang, Rosa Q. So
2020 — conf
Effects of Stimulus Spatial Resolution on SSVEP Responses under Overt and Covert Attention.
EMBC
Aung Aung Phyo Wai, Jun Cong Lee, Tao Yang, Rosa Q. So, Cuntai Guan
2020 — conf
Prefrontal Cortical Activation While Doing Mindfulness Task: a Pilot Functional Near-Infrared Spectroscopy Study.
EMBC
Juanhong Yu, Kai Keng Ang, Carol C. Choo, Cyrus S. H. Ho, Roger Ho, Rosa Q. So
2020 C conf
Towards Autonomous Intra-Cortical Brain Machine Interfaces: Applying Bandit Algorithms for Online Reinforcement Learning.
ISCAS
Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu
2019 — conf
Experimental Comparison of Hardware-Amenable Spike Detection Algorithms for iBMIs.
NER
Shoeb Shaikh, Rosa Q. So, Camilo Libedinsky, Arindam Basu
2019 — conf
Image-based Motor Imagery EEG Classification using Convolutional Neural Network.
BHI
Tao Yang, Kok Soon Phua, Juanhong Yu, Thevapriya Selvaratnam, Valerie Toh, Wai Hoe Ng, Kai Keng Ang, Rosa Q. So
2019 — conf
Improved Decoding of EEG-Based Motor Imagery Using Convolutional Neural Network and Data Space Adaptation.
BHI
Shawn Chua, Yang Tao, Rosa Q. So
2019 — conf
Intracortical Activity decoding of motor imagery based on Deep Convolutional Neural Network: a Pilot Study.
GBCIC
Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan
2019 — conf
Motor-Controlled Spindle (MCS) Detection for Primate in BCI System.
NER
Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan
2019 — conf
Rapid Detection of Inactive Channels during Multi-unit Intracranial Recordings.
BHI
Brian Premchand, Kyaw Kyar Toe, Chuanchu Wang, Camilo Libedinsky, Kai Keng Ang, Rosa Q. So
2019 — conf
Real-time Closed Loop Neural Decoding on a Neuromorphic chip.
NER
Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu
2019 J jnl
Towards Intelligent Intracortical BMI (i
IEEE Trans. Biomed. Circuits Syst.
Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu
2018 — conf
EEG Channel Selection Based on Correlation Coefficient for Motor Imagery Classification: A Study on Healthy Subjects and ALS Patient.
EMBC
Tao Yang, Kai Keng Ang, Kok Soon Phua, Juanhong Yu, Valerie Toh, Wai Hoe Ng, Rosa Q. So
2018 — conf
Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS.
EMBC
Rosa Q. So, Tao Yang, Kok Soon Phua, Juanhong Yu, Valerie Toh, Wai Hoe Ng, Kai Keng Ang
2018 J jnl
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip.
CoRR
Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu
2018 — conf
Robust Local Field Potential-based Neural Decoding by Actively Selecting Discriminative Channels.
EMBC
Huijuan Yang, Kai Keng Ang, Camilo Libedinsky, Rosa Q. So
2017 — conf
Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day data.
EMBC
Huijuan Yang, Camilo Libedinsky, Cuntai Guan, Kai Keng Ang, Rosa Q. So
2017 — conf
Cortical motor intention decoding on an analog co-processor with fast training for non-stationary data.
BioCAS
Shoeb Shaikh, Yi Chen, Arindam Basu, Rosa Q. So
2017 — conf
Reject option to reduce false prediction rates for EEG-motor imagery based BCI.
EMBC
M. Ganesh Kumar, Kai Keng Ang, Rosa Q. So
2017 — conf
Stop state classification in intracortical brain-machine-interface.
EMBC
Tze Hui Koh, Camilo Libedinsky, Cuntai Guan, Kai Keng Ang, Rosa Q. So
2017 — conf
Use of wavelet transform coefficients for spike detection for a Robust Intracortical Brain Machine Interface.
NER
Gary C. F. Lee, Camilo Libedinsky, Cuntai Guan, Rosa Q. So
2016 — conf
Adaptive decoding using local field potentials in a brain-machine interface.
EMBC
Rosa Q. So, Camilo Libedinsky, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan
2015 — conf
Combining firing rate and spike-train synchrony features in the decoding of motor cortical activity.
EMBC
Gabriel Chew, Kai Keng Ang, Rosa Q. So, Zhiming Xu, Cuntai Guan
2015 — conf
EC-PC spike detection for high performance brain-computer interface.
EMBC
Wing-Kin Tam, Rosa Q. So, Cuntai Guan, Zhi Yang
2015 — conf
Motor cortical adaptation induced by closed-loop BCI.
NER
Zhiming Xu, Cuntai Guan, Rosa Q. So, Kai Keng Ang, Kyaw Kyar Toe
2015 — conf
Neural representations of movement intentions during brain-controlled self-motion.
NER
Rosa Q. So, Zhiming Xu, Camilo Libedinsky, Kyaw Kyar Toe, Kai Keng Ang, Shih-Cheng Yen, Cuntai Guan
2014 — conf
On the asynchronously continuous control of mobile robot movement by motor cortical spiking activity.
EMBC
Zhiming Xu, Rosa Q. So, Kyaw Kyar Toe, Kai Keng Ang, Cuntai Guan
2012 J jnl
Relative contributions of local cell and passing fiber activation and silencing to changes in thalamic fidelity during deep brain stimulation and lesioning: a computational modeling study.
J. Comput. Neurosci.
Rosa Q. So, Alexander R. Kent, Warren M. Grill