Xiaofei Liu

This paper introduces a GPU-based framework that accelerates neuron simulations and applies it to neuroscience and AI tasks, showing significant speed improvements over traditional methods.

This paper introduces DeepDAM, a framework that improves neural connectivity inference by aligning synthetic and in vivo data domains, achieving high accuracy in rodent and other systems.

This paper introduces a general LSTM-based deep learning method, GNE, for automated parameter tuning of neuronal models and neural circuits, showing strong performance on both synthetic and experimental data.