Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfaces. - Han-Lin Hsieh; Maryam Modir Shanechi (EMBC, 2015)

Multiscale brain-machine interface decoders. - Han-Lin Hsieh; Maryam Modir Shanechi (EMBC, 2016)

Multiscale modeling of dependencies between spikes and fields. - Hamidreza Abbaspourazad; Han-Lin Hsieh; Maryam M. Shanechi (ACSSC, 2017)

Multiscale decoding for reliable brain-machine interface performance over time. - Han-Lin Hsieh; Yan Tat Wong; Bijan Pesaran; Maryam Modir Shanechi (EMBC, 2017)

Optimizing the learning rate for adaptive estimation of neural encoding models. - Han-Lin Hsieh; Maryam M. Shanechi (PLoS Comput. Biol., 2018)

Decoder for Switching State-Space Models with Spike-Field Observations. - Christian Y. Song; Han-Lin Hsieh; Maryam M. Shanechi (NER, 2019)

Probabilistic Geometric Principal Component Analysis with application to neural data. - Han-Lin Hsieh; Maryam Shanechi (ICLR, 2025)