2 papers
cs.LG2025
Rhythmic sharing: A bio-inspired paradigm for zero-shot adaptive learning in neural networks
Hoony Kang, Wolfgang Losert
The brain rapidly adapts to new contexts and learns from limited data, a coveted characteristic that artificial intelligence (AI) algorithms struggle to mimic. Inspired by the mech…
physics.bio-ph2024
Machine learning from limited data: Predicting biological dynamics under a time-varying external input
Hoony Kang, Keshav Srinivasan, Wolfgang Losert
Reservoir computing (RC) is known as a powerful machine learning approach for learning complex dynamics from limited data. Here, we use RC to predict highly stochastic dynamics of…