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Han-Lin Hsieh

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Journal Articles

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2018
[j1]
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  - journals/ploscb/HsiehS18
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  - https://dblp.org/rec/journals/ploscb/HsiehS18
Han-Lin Hsieh, Maryam M. Shanechi:
Optimizing the learning rate for adaptive estimation of neural encoding models. PLoS Comput. Biol. 14(5) (2018)

Conference and Workshop Papers

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2019
[c5]
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  - conf/ner/SongHS19
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Christian Y. Song, Han-Lin Hsieh, Maryam M. Shanechi:
Decoder for Switching State-Space Models with Spike-Field Observations. NER 2019: 199-202
2017
[c4]
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  - conf/acssc/AbbaspourazadHS17
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Hamidreza Abbaspourazad, Han-Lin Hsieh, Maryam M. Shanechi:
Multiscale modeling of dependencies between spikes and fields. ACSSC 2017: 719-723
[c3]
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  - conf/embc/HsiehWPS17
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Han-Lin Hsieh, Yan Tat Wong, Bijan Pesaran, Maryam Modir Shanechi:
Multiscale decoding for reliable brain-machine interface performance over time. EMBC 2017: 197-200
2016
[c2]
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Han-Lin Hsieh, Maryam Modir Shanechi:
Multiscale brain-machine interface decoders. EMBC 2016: 6361-6364
2015
[c1]
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Han-Lin Hsieh, Maryam Modir Shanechi:
Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfaces. EMBC 2015: 1667-1670

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