Author

Stephanie Haro

Harvard UniversityORCID 0000-0002-4972-2632Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Christopher J. SmaltiD· 3 shared Thomas Francis QuatieriiD· 3 shared Alexander J. AcostaiD· 1 shared Andrea Megela SimmonsiD· 1 shared Chen MingiD· 1 shared Christine BeaucheneiD· 1 shared Daniel B. RubiniD· 1 shared David M. BrandmaniD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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3 shared papersNeuroscience

Christopher J. SmaltORCID

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5 papers

Recent·Most cited

Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome

Justin J. Jude, Stephanie Haro, Hadar Levi-Aharoni, Hiroaki Hashimoto, Alexander J. Acosta, Nicholas S. Card, Maitreyee Wairagkar, David M. Brandman, Sergey D. Stavisky, Ziv M. Williams, Sydney S. Cash, John D. Simeral, Leigh R. Hochberg, Daniel B. Rubin

This paper decodes intended speech from a person with anarthria and locked-in syndrome using an intracortical brain-computer interface, showing that phonemes, words, and higher-order language units can be decoded above chance.

bioRxiv · Aug 12, 2025 · PreprintNeuroscience

A Brain-Computer Interface for Improving Auditory Attention in Multi-Talker Environments

Stephanie Haro, Christine Beauchene, Thomas Francis Quatieri, Christopher J. Smalt

This paper develops a neurofeedback system using EEG to improve auditory attention in multi-talker environments by attenuating unattended talkers based on real-time attention decoding.

IEEE Access · Jan 1, 2025Peer-reviewedNeuroscience

EEG Alpha Power and Pupil Diameter Reflect Endogenous Auditory Attention Switching and Listening Effort

Stephanie Haro, Hrishikesh M. Rao, Thomas Francis Quatieri, Christopher J. Smalt

This paper evaluates an EEG-based attention decoder to detect attention switching and measures listening effort using EEG and pupillometry, finding significant differences in alpha power and pupil diameter during attentional switches.

European Journal of Neuroscience · Jan 31, 2022Peer-reviewedNeuroscience

A comprehensive computational model of animal biosonar signal processing

Chen Ming, Stephanie Haro, Andrea Megela Simmons, James A. Tummon Simmons

The paper develops a computational model of biosonar signal processing in bats and dolphins to replicate their target tracking and clutter rejection capabilities.

PLoS Computational Biology · Feb 17, 2021Peer-reviewedNeuroscience

Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods

Gregory A. Ciccarelli, Michael A. Nolan, Joseph Perricone, Paul Thomas Calamia, Stephanie Haro, James O’Sullivan, Nima Mesgarani, Thomas Francis Quatieri, Christopher J. Smalt

This study compares two-talker attention decoding from EEG using nonlinear neural networks and linear methods, finding that a new architecture outperforms baselines and that wet and dry EEG systems yield comparable results.

Scientific Reports · Aug 8, 2019Peer-reviewedNeuroscience