Magnetic Positioning System with CMOS Receiver for Calibrating Motion Artifacts During MRI Experiments [0.03%]
一种用于在MRI实验期间校准运动伪影的CMOS接收器磁定位系统
Boyang Cao,Qi Zhou,Shuhao Fan et al.
Boyang Cao et al.
TThis article presents the first co-designed MRI imaging and magnetic positioning system for real-time dynamic motion compensation, achieving sub-millimeter tracking accuracy while preserving diagnostic image quality. The core innovation li...
A Neural Recording IC for 64-Channel Time-Multiplexed MEA with 3.3-GΩ Total Input Impedance Using Dual Positive Feedback Loop ZIN-Boosting [0.03%]
一种用于64通道时分多址MEA的神经记录IC，采用双正反馈回路ZIN增强技术，总输入阻抗为3.3 GΩ
Christopher Santos,Dong-Hwi Choi,Sohmyung Ha et al.
Christopher Santos et al.
This paper presents a 64-channel time-domain multiplexed (TDM) neural recording IC that achieves a high total input impedance (T-ZIN) for direct interfacing with a time-multiplexed microelectrode array (MEA). Unlike conventional IC-side mul...
C2-LSM: A Storm-NoC Based Neuromorphic Processor for High-Accuracy Liquid State Machine with Cube-Cluster Topology [0.03%]
基于Cube-Cluster拓扑和Storm-NoC的高精度液态机器神经形态处理器C2-LSM
Enyi Yao,Zhibin Luo,Zongfan Wu et al.
Enyi Yao et al.
The liquid state machine (LSM), a reservoir computing variant of spiking neural networks (SNNs), has been widely adopted for its low training complexity. In this work, we propose C2-LSM, a neuromorphic processor designed through algorithm-h...
A Battery-Free Neural Implant Achieving 6cm Reading Range and 36.2pJ/bit Efficiency by PWM Passive Body-Channel Communication [0.03%]
采用脉冲调制被动体通道通信的无电池神经植入物（读取范围6cm，效率36.2pJ/bit）
Yili Shen,Changgui Yang,Weixiao Wang et al.
Yili Shen et al.
Minimally invasive wireless implants distributed in the nervous system can transfer various neural signals to an external device, offering an effective hardware tool for neuro-disorder monitoring. Battery-free wireless techniques based on w...
A Neurostimulator for Deep Brain Stimulation with Wide Load Current and Impedance Adaptation Capability [0.03%]
一种具有宽负载电流和阻抗适应能力的深度大脑刺激神经刺激器
Cheng-Jung Tsai,Kea-Tiong Tang
Cheng-Jung Tsai
In this work, a biphasic and bipolar current-controlled stimulator with high loading adaptability is proposed. The stimulator consisted of an on-chip high voltage generator, output driver and an 8-bit current DAC (Digital-to-Analog Converte...
A 40-nm 3.9mW, 200words/min Neural Signal Processor in Speech Decoding for Brain-Machine Interface [0.03%]
一种用于脑机接口语音解码的40nm 3.9mW 200wpm神经信号处理器
Tun-Yu Chang,Jeng-Bang Wang,Yu-Hsuan Tsai et al.
Tun-Yu Chang et al.
Brain-machine interface (BMI) technology enables the human brain to communicate directly with machines. This work presents a neural signal processor for real-time BMI, supporting translation from user's speech attempt to sentences. By emplo...
A Chip-based Miniature MRI Platform with Integrated Frontend Probe for In-Situ 3D Cell Culture Monitoring [0.03%]
一种集成前端探针的芯片化微型MRI平台用于现场三维细胞培养监测
Qi Zhou,Shuhao Fan,Yingying Liu et al.
Qi Zhou et al.
Three-dimensional (3D) cell culture is gaining attention for its ability to better mimic tissue environments in vitro, enhancing drug screening efficiency. Tracking biological dynamics in such a setup requires advanced monitoring technologi...
A Verilog-A-based Redox-Signal Transduction Model for Co-simulating Surface-bound Electrochemical Biosensors and Circuits [0.03%]
基于Verilog-A的红ox信号转导模型在表面结合式电化学生物传感器和电路联合仿真的应用
Wei Foo,Jun-Chau Chien
Wei Foo
Surface-bound electrochemical aptamer-based (E-AB) sensors are a promising approach for continuous in-vivo and in-vitro biomolecular monitoring because they offer high selectivity, sensitivity, and real-time detection. However, accurately c...
Common-Mode Interference in Biopotential Amplifiers: Modeling, Analysis, and Design Strategies for Various Recording Setups [0.03%]
生物电放大器中的共模干扰：各种记录设置下的建模、分析与设计策略
Seung-Gi Hyoung,Nahmil Koo
Seung-Gi Hyoung
This review provides a comprehensive overview of techniques for mitigating common-mode interference (CMI) in biopotential analog front-ends (AFEs). The mechanisms of CMI generation in various biopotential measurement scenarios, including ne...
Hardware Implementation of a Real-Time Adaptive Time-Series Segmentation Algorithm for Intracortical Implants [0.03%]
一种实时自适应时间序列分割算法的硬件实现用于皮质内植入体
Gabriel Galeote-Checa,Gabriella Panuccio,Bernabe Linares-Barranco et al.
Gabriel Galeote-Checa et al.
Epilepsy affects over 50 million people world-wide, posing a significant clinical challenge, particularly for patients unresponsive to conventional treatments. Advances in neural implants with on-device algorithms are revolutionizing epilep...