Maryam Shanechi
Alexander A. Sawchuk Chair in Electrical and Computer Engineering and Professor of Electrical and Computer Engineering, Biomedical Engineering, and Computer Science
Develops machine learning and neural decoding methods for brain-machine interfaces and neural dynamics.
Maryam Shanechi's lab at USC works on neuroscience & brain-computer interfaces and interfaces & interaction techniques. 20 papers since 2023, 7 at top venues, mostly NeurIPS and ICLR. 15 PhD students. 13 alumni, most often to Amazon and Apple. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 35%
- PhD students
- 15
- MS students
- 0
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 6
- 9 papers2024 · T1 1
- 3 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS, ICLR, ICML
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces5 papers
- Interfaces & interaction techniques2 papers
- neural decoding0 papers
- brain-machine0 papers
- brain-machine interfaces0 papers
Paper list
From the lab homepage.
20261 paper
- Journal of Neural EngineeringUnsupervised learning of multiscale switching dynamical system models from multimodal neural data
20257 papers
- NeurIPS (T1)BaRISTA: Brain scale informed spatiotemporal representation of human intracranial neural activity
- ICLR (T1)BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data
- NeurIPS (T1)Cross-modal representational knowledge distillation for enhanced spike-informed LFP modeling
- ICML (T1)Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data
- NeurIPS (T1)Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
- Journal of Neural EngineeringPrioritized learning of cross-population neural dynamics
- ICLR (T1)Probabilistic geometric principal component analysis with application to neural data
20249 papers
- Nature Biomedical EngineeringAn application-based taxonomy for brain–computer interfaces
- Nature Reviews BioengineeringBrain-computer interfaces for neuropsychiatric disorders
- Nature Biomedical EngineeringChallenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation
- Nature NeuroscienceDissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks
- Nature Biomedical Engineering, 8 (1), 85-108Dynamical flexible inference of nonlinear latent factors and structures in neural population activity
- Journal of Neural Engineering, 21 (2), 026049Event detection and classification from multimodal time series with application to neural data
- Proceedings of the National Academy of Sciences (PNAS), 121 (7), e2212887121Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
- Journal of Neural Engineering,, 21 (2), 026001Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity
- NeurIPS (T1)Spectral learning of shared dynamics between generalized-linear processes
20233 papers
- Nature Neuroscience, 26, 1090-1099First-in-human prediction of chronic pain state using intracranial neural biomarkers
- Journal of Neural Engineering, 20 (5), 056012Post-stimulus encoding of decision confidence in EEG: toward a brain-computer interface for decision making
- Journal of Neural Engineering, 20 (6), 066029Unsupervised learning of stationary and switching dynamical system models from Poisson observations
Where alumni went13 listed, 50% to industry
Industry 4Academia 4
Most often to
- Amazon
- Apple
- Sony
Also to
- Brown University
- Electrical and Computer Engineering at the University of Central Florida
- Harvard University
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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- The lab homepage
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