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05/10/2023
XTab: Cross-table Pretraining for Tabular Transformers
The success of self-supervised learning in computer vision and natural l...
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08/29/2022
An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces
Spike detection plays a central role in neural data processing and brain...
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04/04/2022
Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs
Neuroscience and neurotechnology are currently being revolutionized by a...
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10/01/2021
Tree in Tree: from Decision Trees to Decision Graphs
Decision trees have been widely used as classifiers in many machine lear...
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09/13/2021
Closed-Loop Neural Prostheses with On-Chip Intelligence: A Review and A Low-Latency Machine Learning Model for Brain State Detection
The application of closed-loop approaches in systems neuroscience and th...
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02/28/2021
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection
Modern machine learning tools have shown promise in detecting symptoms o...
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10/15/2020
Closed-Loop Neural Interfaces with Embedded Machine Learning
Neural interfaces capable of multi-site electrical recording, on-site si...
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06/14/2020
