News

Maryam Shanechi leads the Raynor Cerebellum Project AI Core

Maryam Shanechi leads the $2.4M AI Core, developing models to guide more adaptive neuromodulation for cerebellar disorders.

Three papers accepted to NeurIPS

The lab announces three paper acceptances at NeurIPS.

Cross-regional brain dynamics paper published in Journal of Neural Engineering

A new study develops methods to learn dynamics across brain regions.

Neural imaging and behavior modeling paper published at ICML

The study jointly models neural imaging and behavior data.

Two papers accepted to ICLR, including a Spotlight

Two lab papers are accepted to ICLR; one is selected as a Spotlight in the top 5%.

Maryam Shanechi joins the World Economic Forum's neurotechnology council

Maryam Shanechi joins the Global Future Council on Neurotechnology.

DPAD featured on the cover of Nature Neuroscience

Spectral learning paper accepted to NeurIPS

DPAD published in Nature Neuroscience

Maryam Shanechi appointed to the Alexander A. Sawchuk Chair

The appointment establishes the inaugural Alexander A. Sawchuk Chair in Electrical and Computer Engineering.

Review of brain-computer interfaces for neuropsychiatric disorders published

Maryam Shanechi named inaugural Alexander A. Sawchuk Chair holder

USC names Maryam Shanechi the inaugural holder of the Alexander A. Sawchuk Chair in Electrical and Computer Engineering.

Multimodal event detection paper published in Journal of Neural Engineering

IPSID paper on intrinsic and input-driven dynamics published in PNAS

DFINE featured on the cover of Nature Biomedical Engineering

Maryam Shanechi elevated to IEEE Fellow

DFINE published in Nature Biomedical Engineering

Paper on learning dynamical systems from Poisson observations published

Multimodal subspace identification paper published

Psychology Today highlights the lab's work on AI and mental health

Research on decoding confidence from human EEG

A Journal of Neural Engineering study examines decision confidence encoded in human EEG activity.

Maryam Shanechi named a Blavatnik National Awards finalist

Maryam Shanechi appointed to a Dean's Professorship

Chronic pain decoding study published in Nature Neuroscience

Maryam Shanechi promoted to Full Professor

The promotion spans Electrical and Computer Engineering, Computer Science, and Biomedical Engineering, with tenure.

MIT Technology Review highlights AI-based neurotechnology for brain disorders

Switching dynamical systems paper published in Journal of Neural Engineering

Maryam Shanechi receives the One Mind Rising Star Award

Maryam Shanechi receives Penn's MINS Rising Star Award

Maryam Shanechi speaks about neurotechnology at MARS 2022

Multiscale neural causality paper published in Journal of Neural Engineering

eLife Insight article on sensory feedback and neural rotations published

NSF CRCNS grant supports research on naturalistic movement

The new grant supports research into the neural basis of naturalistic movements.

Omid Sani receives USC Viterbi's Best Doctoral Dissertation Award

Brain stimulation modeling featured on the cover of Nature Biomedical Engineering

NIH R01 grant supports model-based brain stimulation research

The NIH/NIMH award supports research on model-based neural control of stimulation for neuropsychiatric disorders.

Maryam Shanechi promoted to Associate Professor with tenure

Dynamic brain stimulation modeling paper published

Multiscale motor dynamics paper published in Nature Communications

Maryam Shanechi selected for the Curtis W. McGraw Research Award

The 2021 award recognizes research by an assistant or associate professor across engineering disciplines.

PSID published in Nature Neuroscience

Maryam Shanechi receives the NIH Director's New Innovator Award

University of Toronto recognizes Maryam Shanechi with a Mid-Career Achievement Award

Science News names Maryam Shanechi among 10 Scientists to Watch

Perspective on brain-machine interfaces from motor to mood published

Lab research wins recognition in the 2019 international BCI Award

The recognition honors work on brain-computer interfaces for neuropsychiatric disorders by Yuxiao Yang, Omid Sani, and the team.

Population spike-train event detection paper published

IEEE Spectrum features the lab's mood decoding and stimulation research

Spike-field functional connectivity paper published

Human ECoG network modeling paper published

Unsupervised multiscale spike-field modeling paper published

Maryam Shanechi receives the USC Viterbi Junior Research Award

Multiscale causality graphs paper published

USC highlights the joint MURI and BARI research meeting

Personalized closed-loop anesthetic delivery paper published

USC hosts international MURI and BARI program meeting

More than 60 experts from academia and government labs in the US and UK meet at USC to discuss brain-machine interfaces and human-AI decision making.

Science News features the lab's work toward stimulation treatments for depression

Maryam Shanechi receives the ONR Young Investigator Award

Multiscale spike-field decoding paper published

Mood decoding featured on the cover of Nature Biotechnology

Department of Defense announces the US-UK BARI program

Electrical brain stimulation modeling framework published

Behind the Paper story explores the lab's mood decoding research

Mood decoding paper published in Nature Biotechnology

Lab receives a US-UK BARI award for AI and brain-machine interface research

The multi-institutional Bilateral Academic Research Initiative supports work at the intersection of AI and brain-machine interfaces.

Maryam Shanechi's NAS Kavli lecture on brain-machine interfaces available

IEEE's The Institute features the lab's research

Maryam Shanechi elected IEEE Senior Member

IEEE Brain podcast series features Maryam Shanechi

Adaptive neural encoding learning-rate paper published

Maryam Shanechi to chair a NAS Kavli brain-machine interfaces session

The session is scheduled for the 2018 Kavli Frontiers of Science Symposium.

Maryam Shanechi to co-chair an NAE Frontiers of Engineering session

The 2017 conference session focuses on understanding the complexity of the brain.

Army Research Office DURIP award supports brain-machine interface development

Neuroprosthetic control paper published in Nature Communications

Review of brain-machine interface control algorithms published

Closed-loop anesthesia control paper published

US-UK MURI program launches at USC

Lab receives a US-UK MURI grant for research on decision accuracy

The multi-institutional collaboration aims to develop brain-machine interfaces for enhanced decision accuracy.

Robust brain-machine interface design paper published

Popular Science names Maryam Shanechi to its Brilliant 10

Yuxiao Yang's EMBC paper wins student competition recognition

The paper is selected as the North American geographic finalist and a winner in the IEEE EMBC best student paper competition.

Maryam Shanechi selected for NAE's US Frontiers of Engineering symposium

Lab receives an inaugural Cal-BRAIN Award

Maryam Shanechi appointed to a Viterbi Early Career Chair

Maryam Shanechi receives the NSF CAREER Award

Google Solve for X selects the lab's research as a Tech Moonshot

EmTech video introduces the lab's brain-machine interface research

MIT Technology Review recognizes Maryam Shanechi as an Innovator Under 35

Medical coma control paper wins an IARS best paper award

The paper wins in Technology, Computing, and Simulation at the 2014 International Anesthesia Research Society annual meeting.

Cortical-spinal prosthesis paper published in Nature Communications

Automatic anesthesia control paper published in PLOS Computational Biology

Joint target and trajectory decoding paper published in PLOS ONE

Sequential motor function paper published in Nature Neuroscience

Goal-directed movement decoder paper published in IEEE TNSRE