[HTML][HTML] Materials and devices for high-density, high-throughput micro-electrocorticography arrays

Y Xie, Y Peng, J Guo, M Liu, B Zhang, L Yin… - Fundamental …, 2024 - Elsevier
The pursuit of precisely recording and localizing neural activities in brain cortical regions
drives the development of advanced electrocorticography (ECoG) devices. Remarkable …

Actively multiplexed μECoG brain implant system with incremental-ΔΣ ADCs employing bulk-DACs

X Huang, H Londoño-Ramírez, M Ballini… - IEEE Journal of Solid …, 2022 - ieeexplore.ieee.org
Fundamental neuroscience research and high-performance neuro-prostheses require large-
scale brain interfaces with ever-greater spatial resolution across a large cortex coverage …

An AC-coupled 1st-order Δ-ΔΣ readout IC for area-efficient neural signal acquisition

X Yang, M Ballini, C Sawigun, WY Hsu… - IEEE journal of solid …, 2023 - ieeexplore.ieee.org
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 …

Power-Efficient LFP-Adaptive Dynamic Zoom-and-Track Incremental ΔΣ Front-End for Dual-Band Subcortical Recordings

S Oh, H Song, N Slager, JRL Ruiz… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We report a power-efficient analog front-end integrated circuit (IC) for multi-channel, dual-
band subcortical recordings. In order to achieve high-resolution multi-channel recordings …

TFT-Based Near-Sensor In-Memory Computing: Circuits and Architecture Perspectives of Large-Area eDRAM and ROM CiM Chips

J Liu, W Tang, H Li, D Chen, W Long… - … on Circuits and …, 2023 - ieeexplore.ieee.org
In the era of intelligent IoT, huge amount of sensor data is collected and then transmitted to
processor elements in edge devices or cloud servers. The latency and energy consumption …

An Energy-Efficient 12-Bit VCO-Based Incremental Zoom ADC with Fast Phase-Alignment Scheme for Multi-Channel Biomedical Applications

J Kim, SY Park - Electronics, 2024 - mdpi.com
This paper presents a low-power, energy-efficient, 12-bit incremental zoom analog-to-digital
converter (ADC) for multi-channel bio-signal acquisitions. The ADC consists of a 7-stage …

LFP-adaptive dynamic zoom-and-tracking dual-band neural recording front-end using a power-efficient incremental delta-sigma ADC

S Oh, H Song, N Slager, JRL Ruiz… - … Circuits and Systems …, 2022 - ieeexplore.ieee.org
We report a local field potential (LFP) adaptive dynamic zoom-and-tracking front-end circuit
for energy-efficient dual-band monitoring of subcortical neural signals. The proposed front …

Cross-Layer Exploration and Chip Demonstration of In-Sensor Computing for Large-Area Applications with Differential-Frame ROM-Based Compute-In-Memory

J Liu, W Tang, D Chen, C Jiang, H Yang… - Proceedings of the 61st …, 2024 - dl.acm.org
In-sensor computing has emerged as a promising approach to mitigating huge data
transmission costs between sensors and processing units. Recently, the emerging …

A servo-loop-free charge sharing technique to mitigate electrode offsets in biomedical multiplexed interfaces

MF Carlino, G Gielen - 2022 29th IEEE International …, 2022 - ieeexplore.ieee.org
Biomedical electrode readout front-ends face the challenge of reading small AC signals in
the presence of large DC electrode offsets. While recent DC-coupled front-end architectures …

Advanced Noise-Shaping SAR ADCs Utilizing Single-Capacitor Arbitrary-Resolution DACs for Miniaturized Neural Interfaces

J Xu, S Wu, H You, J De Sales Filho… - … Circuits and Systems …, 2023 - ieeexplore.ieee.org
This paper presents the development and validation of a high-performance Noise-Shaping
(NS) Successive-Approximation-Register (SAR) Analog-to-Digital Converter (ADC) …