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Clinical neuroscience and neurotechnology: An amazing symbiosis

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Clinical neuroscience and neurotechnology: An amazing symbiosis

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Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Organ Neuroprosthetics: Connecting Transplanted and Artificial Organs with the Nervous System

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Non-invasive neuromodulation of the right temporoparietal junction using theta-burst stimulation in functional neurological disorder

Soft bioelectronic technologies for selective and multimodal peripheral nerve interfaces

Reconstruction of nerve functional topography using recruitment curves enables selective electrical stimulation

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Hydrogels and conductive hydrogels for implantable bioelectronics

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes