2 papers
stat.ML2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
Fredrik Wrede, Robin Eriksson, Richard Jiang +4
State-of-the-art neural network-based methods for learning summary statistics have delivered promising results for simulation-based likelihood-free parameter inference. Existing ap…
cs.CE2020
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings
Yun Zhao, Richard Jiang, Zhenni Xu +3
Multi-electrode arrays (MEAs) can record extracellular action potentials (also known as 'spikes') from hundreds or thousands of neurons simultaneously. Inference of a functional ne…