IEEE

Membrane Potential-Driven Adaptive Threshold Plasticity for SNNs: A Bio-Inspired Mechanism Combining Inverse Depolarization Rate and Proportional Membrane Potential Dynamics

Abstract: While spiking neural networks (SNNs) have demonstrated remarkable efficiency in neuromorphic computing by emulating biological neuronal dynamics, their learning capabilities remain ...
IEEE

Lyapunov-Based Inverse Reinforcement Learning of Vehicle-Following Dynamics From Traffic Data

Abstract: Being driving intrinsically a control task, control-oriented tools that capture how humans drive can promote trustworthy transfer of human capabilities to automated driving. This work ...
GitHub

LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

We introduce LDA-1B, a robot foundation model that scales through universal embodied data ingestion by jointly learning dynamics, policy, and visual forecasting, assigning distinct roles to data of ...
GitHub

SAM4Dcap: Training-free Biomechanical Twin System from Monocular Video

This project performs training-free biomechanics analysis from monocular video. MHRtoSMPL: Python 3.12.12; PyTorch 2.8.0+cu128; CUDA 12.8 body4d: Python 3.12.12; PyTorch 2.8.0+cu128; CUDA 12.8 opencap ...