neural activity
This is a term often used in neuroscience and machine learning to refer to the firing of neurons in response to stimuli, and in AI, can describe the activation of units in neural networks as they process information during training and inference.
- BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
- CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
- Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
- Generalizable, real-time neural decoding with hybrid state-space models
- Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
- Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
- Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
- Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding