Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface

no code implementations • 27 Jul 2021 • Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang

In order to identify the active neurons in brain control and track their tuning property changes, we propose a globally adaptive point process method (GaPP) to estimate the neural modulation state from spike trains, decompose the states into the hyper preferred direction and reconstruct the kinematics in a dual-model framework.

Semi-supervised Intent Discovery with Contrastive Learning

no code implementations • EMNLP (NLP4ConvAI) 2021 • Xiang Shen, Yinge Sun, Yao Zhang, Mani Najmabadi

User intent discovery is a key step in developing a Natural Language Understanding (NLU) module at the core of any modern Conversational AI system.

Clustering Contrastive Learning +2