[HTML][HTML] Neural interface systems with on-device computing: machine learning and neuromorphic architectures
Highlights•Neural interfaces continue to improve in channel count and form factor.•Low-
power machine learning and neuromorphic processors can be integrated onto neural …
power machine learning and neuromorphic processors can be integrated onto neural …
Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection
The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …
stimulation holds great promise for revolutionizing our understanding of the brain and for …
A 16-Channel Fully Configurable Neural SoC With 1.52 W/Ch Signal Acquisition, 2.79 W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network …
SMA Zeinolabedin, FM Schüffny… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
With the advent of high-density micro-electrodes arrays, developing neural probes satisfying
the real-time and stringent power-efficiency requirements becomes more challenging. A …
the real-time and stringent power-efficiency requirements becomes more challenging. A …
An energy-efficient and high-data-rate IR-UWB transmitter for intracortical neural sensing interfaces
This article presents an implantable impulse-radio ultra-wideband (IR-UWB) wireless
telemetry system for intracortical neural sensing interfaces. A 3-D hybrid impulse modulation …
telemetry system for intracortical neural sensing interfaces. A 3-D hybrid impulse modulation …
A wide-dynamic-range neural-recording ic with automatic-gain-controlled AFE and CT dynamic-zoom ΔΣ ADC for saturation-free closed-loop neural interfaces
This article presents a neural-recording IC with automatic gain control (AGC) according to
the input signal level. AGC enhances the dynamic range (DR) of the recording IC by more …
the input signal level. AGC enhances the dynamic range (DR) of the recording IC by more …
Bridging the “last millimeter” gap of brain-machine interfaces via near-infrared wireless power transfer and data communications
Arrays of floating neural sensors with a high channel count that covers an area of square
centimeters and larger would be transformative for neural engineering and brain–machine …
centimeters and larger would be transformative for neural engineering and brain–machine …
An AC-coupled 1st-order Δ-ΔΣ readout IC for area-efficient neural signal acquisition
The current demand for high-channel-count neural-recording interfaces calls for more area-
and power-efficient readout architectures that do not compromise other electrical …
and power-efficient readout architectures that do not compromise other electrical …
High‐density implantable neural electrodes and chips for massive neural recordings
L Wang, Y Suo, J Wang, X Wang, K Xue, J An, X Sun… - Brain‐X, 2024 - Wiley Online Library
High‐density neural recordings with superior spatiotemporal resolution powerfully unveil
cellular‐scale neural communication, showing great promise in neural science, translational …
cellular‐scale neural communication, showing great promise in neural science, translational …
A power-efficient brain-machine interface system with a sub-mW feature extraction and decoding ASIC demonstrated in nonhuman primates
Intracortical brain-machine interfaces have shown promise for restoring function to people
with paralysis, but their translation to portable and implantable devices is hindered by their …
with paralysis, but their translation to portable and implantable devices is hindered by their …
A compact chopper stabilized Δ-ΔΣ neural readout IC with input impedance boosting
This paper presents a scalable neural recording analog front-end architecture enabling
simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and …
simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and …