Searched for: subject%3A%22brain%255C-machine%255C%252Binterface%22
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Yan, Pumiao (author), Akhoundi, A. (author), Shah, Nishal P. (author), Tandon, Pulkit (author), Muratore, D.G. (author), Chichilnisky, E. J. (author), Murmann, Boris (author)
Future high-density and high channel count neural interfaces that enable simultaneous recording of tens of thousands of neurons will provide a gateway to study, restore and augment neural functions. However, building such technology within the bit-rate limit and power budget of a fully implantable device is challenging. The wired-OR...
journal article 2023
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Exalto, Marvin (author)
Brain-machine interfaces (BMI) are electronic devices that form an interconnection between the users brain and an external device through which the user can control the device and the device can apply stimulation to the users brain or nervous system. BMIs have undergone a rapid evolution in development and applications. While the first...
master thesis 2022
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Pahlavan, Saeideh (author), Shooshtari, M. (author), Jafarabadi Ashtiani, Shahin (author)
Wireless power is one of the new promising technologies for IoT applications. The use of arrays for power transfer to free-moving objects has revolutionized wireless power transmission (WPT) applications. Herein, we present an extendable platform for transmitting power to a moving object receiving power from an array. The transmitter (TX)...
journal article 2022
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Yan, Pumiao (author), Shah, Nishal P. (author), Muratore, D.G. (author), Tandon, Pulkit (author), Chichilnisky, E.J. (author), Murmann, Boris (author)
This paper investigates the efficacy of a wired-OR compressive readout architecture for neural recording, which enables simultaneous data compression of action potential signals for high channel count electrode arrays. We consider a range of wiring configurations to assess the trade-offs between compression ratio and various task-specific signal...
conference paper 2022
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Brash, Rohan (author)
Implantable epiretinal prostheses aim to restore visual capability for patients suffering from diseases such as Macular Degeneration and Retinitis Pigmentosa by bypassing damaged photoreceptors and electrically exciting Retinal Ganglion Cells (RGCs) directly. Next-generation devices will require single-cell resolution, and bidirectional...
master thesis 2021
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Steinert, S. (author), Bublitz, Christoph (author), Jox, Ralf (author), Friedrich, Orsolya (author)
Connecting human minds to various technological devices and applications through brain-computer interfaces (BCIs) affords intriguingly novel ways for humans to engage and interact with the world. Not only do BCIs play an important role in restorative medicine, they are also increasingly used outside of medical or therapeutic contexts (e.g.,...
journal article 2019
Searched for: subject%3A%22brain%255C-machine%255C%252Binterface%22
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