Abstract - Maryam Shanechi

Despite successful laboratory demonstrations, recording longevity, performance, generalizability, and robustness remain key challenges hindering clinical viability of motor brainmachine interfaces (BMI). We plan to address these by developing a closed-loopelectrocorticography (ECoG) BMI. We will use ECoG to improve longevity compared to the commonly-used single and multi-unit recordings. One main reason for the key challenges in current BMIs is that they neglect to model the control processes of the brain, which is the controller of movement in any BMI setting. We will build a control-theoretic model of brain behavior during neuroprosthetic control to better infer its intentions. We will construct stochastic observation models of ECoG in various frequency bands to relate it to the brain’s intentions. To adapt to neural non-stationarities and plasticity, we will learn the ECoG model parameters by developing an adaptive estimator that uses the predicted intentions from the control-theoretic model as the teaching signal. We will validate this BMI design in online closed-loop experiments with epilepsy patients implanted with ECoG grids at the USC center for neurorestoration, which has one of the largest patient populations and state-of-the-art electrophysiology equipment. This project will be highly interdisciplinary and conducted at the interface of stochastic control and neuroscience.

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Principal Investigator Institution Title Abstract
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Hall, Drew University of California, San Diego Magnetic Monitoring of Neural Activity using Magnetoresistive Nanosensors View
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Kubby, Joel University of California, Santa Cruz Three-Photon Microscopy with Adaptive Optics for Deep Tissue Brain Activity Imaging View
Melosh, Nicholas Stanford University Parallel Solid State Intracellular Patch-Clamping with Biomimetic Probes View
Park, B. Hyle University of California, Riverside  Label-free 4D optical detection of neural activity View
Portera-Cailliau, Carlos University of California, Los Angeles High-speed interrogation of network activity with frequency domain multiplexing View
Shanechi, Maryam University of Southern California Control-Theoretic Neuroprosthetic Design Using Electrocorticography Signals View
Smith, Will University of California, Santa Barbara Whole brain imaging in a primative chordate View
Wood, Marcelo University of California, Irvine Epigenetic PET tracer for cross-species investigation of age-related memory dysfunction View