GitHub

flinkerlab/neural_speech_decoding

Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...
GitHub

DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding [ICCV 2025, Highlight]

DisCoRD can be easily built on any VQ-VAE-based motion generation model. We release checkpoints built on MoMask: Generative Masked Modeling of 3D Human Motions. Download Momask checkpoints. Detailed ...
IEEE

BDAN-SPD: A Brain Decoding Adversarial Network Guided by Spatiotemporal Pattern Differences for Cross-Subject MI-BCI

Abstract: Although advances in deep learning technologies have greatly facilitated the brain intention decoding from electroencephalogram (EEG) in motor imagery brain–computer interfaces (MI-BCIs), ...
IEEE

FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power and Connectivity Features for EEG-Based Emotion Decoding

Abstract: Electroencephalography (EEG)-based emotion recognition plays a key role in the development of affective brain-computer interfaces (BCIs). However, emotions are complex and extracting salient ...
the-decoder

Anthropic's Claude Cowork was built in under two weeks using Claude Code to write the code

Anthropic's Claude Code inventor says his tool wrote almost all the code for Claude Cowork. Claude Cowork is a newly launched AI tool from Anthropic that builds on Claude Code but adds a user-friendly ...