Electronic neural interfaces

M Zhang, Z Tang, X Liu, J Van der Spiegel - Nature Electronics, 2020 - nature.com
Devices such as keyboards and touchscreens allow humans to communicate with
machines. Neural interfaces, which can provide a direct, electrical bridge between analogue …

Power-saving design opportunities for wireless intracortical brain–computer interfaces

N Even-Chen, DG Muratore, SD Stavisky… - Nature biomedical …, 2020 - nature.com
The efficacy of wireless intracortical brain–computer interfaces (iBCIs) is limited in part by
the number of recording channels, which is constrained by the power budget of the …

Flexible and smart electronics for single-cell resolved brain–machine interfaces

AJ Lee, W Wang, J Liu - Applied Physics Reviews, 2023 - pubs.aip.org
Brain–machine interfaces (BMIs) offer the potential for the development of communication
tools between the brain and external devices. The current BMI technologies for recording …

Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording

P Yan, A Akhoundi, NP Shah, P Tandon… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
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 …

A data-compressive wired-OR readout for massively parallel neural recording

DG Muratore, P Tandon, M Wootters… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Neural interfaces of the future will be used to help restore lost sensory, motor, and other
capabilities. However, realizing this futuristic promise requires a major leap forward in how …

Artificial retina: a future cellular-resolution brain-machine interface

DG Muratore, EJ Chichilnisky - NANO-CHIPS 2030: On-Chip AI for an …, 2020 - Springer
Brain-machine interfaces (BMIs) of the future will be used to treat diverse neurological
disorders and augment human capabilities. However, to realize this futuristic promise will …

An energy-efficient compressed sensing-based encryption scheme for wireless neural recording

X Liu, AG Richardson… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
This paper presents a compressed sensing (CS) based encryption scheme for wireless
neural recording. An ultrahigh efficiency was achieved by leveraging CS for simultaneous …

A 16-channel neural recording system-on-chip with CHT feature extraction processor in 65-nm CMOS

A Uran, K Ture, C Aprile, A Trouillet… - IEEE Journal of Solid …, 2022 - ieeexplore.ieee.org
Next-generation invasive neural interfaces require fully implantable wireless systems that
can record from a large number of channels simultaneously. However, transferring the …

An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF

A Uran, Y Leblebici, A Emami… - IEEE Solid-State Circuits …, 2020 - ieeexplore.ieee.org
This letter presents an energy-and-area-efficient ac-coupled front-end for the multichannel
recording of wideband neural signals. The proposed unit conditions local held and action …

Anomaly detection in invasively recorded neuronal signals using deep neural network: effect of sampling frequency

M Fabietti, M Mahmud, A Lotfi - International Conference on Applied …, 2021 - Springer
Abnormality detection has advanced in recent years with the help of machine learning, in
particular with deep learning models, which can predict accurately across many types of …