Emilie Cornelia Maria Revol

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Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity information ...

Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

Individuals with compromised cochlear nerves are ineligible for cochlear implants and instead rely on auditory brainstem implants (ABIs). Most users of ABIs experience sound awareness, which aids in lip reading, yet not speech intelligibility. Here we engi ...

Next generation invasive neural interfaces require fully implantable wireless systems that can record from a large number of channels simultaneously. However, transferring the recorded data from the implant to an external receiver emerges as a significant ...

One of the goals of the Neural Engineering System Design (NESD) program in the United States and of similar programs around the world is to develop an interface able to read from one million neurons in parallel. This is well beyond the capabilities of trad ...

Emilie Cornelia Maria Revol

Chat with Graph Search

NeuralTree: A 256-Channel 0.227-mu J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC

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

High-resolution prosthetic hearing with a soft auditory brainstem implant in macaques

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS

First Biopotential Recordings from a Liquid Crystal Optrode