Integrated magnetic probes for neuronal current imaging

用于神经元电流成像的集成磁探针

• 批准号: 391912302
• 负责人: Professor Dr. Jens Anders
• 金额: --
• 依托单位: Institut für Intelligente Sensorik und Theoretische Elektrotechnik (IIS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/391912302?language=en
• 关键词: Integrated; magnetic; probes; neuronal; current

Low-frequency magnetic fields pass through biological tissues without significant distortion, thus enabling efficient, remote interaction with devices inside a biological system. Previously, we have realized the first experimental proof of concept of locally recording the activity of neuronal networks in vivo with a new type of tool based on spin electronics. To realize single-event recordings at neuron scale, we need to improve the sensor sensitivity and to co-integrate the electronics with the sensor for an improved form factor and signal integrity. To achieve this, in the proposed project NeuroTMR, we will use our low-noise Tunnel Magneto Resistance sensors and incorporate all relevant electronics directly onto the probe. The resulting new tool will open the field of magnetophysiology to understand the mechanisms of neuronal information transmission by realizing a mapping of the ionic flows in the neuropil, including vectorial information and multi-neurons simultaneous recordings, paving the way for durable implants, possibly for brain-machine interface.

低频磁场通过生物组织时不会产生明显的变形，因此能够与生物系统内的设备进行有效的远程交互。在此之前，我们已经实现了第一个实验证明的概念，本地记录的活动，在体内的神经网络与一种新型的工具，基于自旋电子。为了实现神经元级的单事件记录，我们需要提高传感器的灵敏度，并将电子器件与传感器共同集成，以改善形状因子和信号完整性。为了实现这一目标，在拟议的NeuroTMR项目中，我们将使用我们的低噪声隧道磁阻传感器，并将所有相关电子设备直接集成到探头上。由此产生的新工具将打开磁生理学领域，通过实现神经元中离子流的映射来了解神经元信息传输的机制，包括矢量信息和多神经元同时记录，为持久的植入物铺平道路，可能用于脑机接口。

项目成果

Stability Analysis of Incremental ΣΔ Modulators using Mixed-Logic Dynamical Systems and Optimal Control Theory

使用混合逻辑动力系统和最优控制理论的增量式 δ 调制器的稳定性分析

• DOI: 10.1109/iscas45731.2020.9180952
• 发表时间: 2020
• 期刊: 2020 IEEE International Symposium on Circuits and Systems (ISCAS)
• 作者: A. Mohamed;J. Anders
• 通讯作者: J. Anders

A readout circuit for tunnel magnetoresistive sensors employing an ultra-low-noise current source

一种采用超低噪声电流源的隧道磁阻传感器的读出电路

• DOI: 10.1109/esscirc53450.2021.9567752
• 发表时间: 2021
• 期刊: ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC)
• 作者: A. Mohamed;H. Heidari;J. Anders
• 通讯作者: J. Anders

FIR Feedback in Continuous- Time Incremental Sigma-Delta ADCs

连续时间增量 Σ-Δ ADC 中的 FIR 反馈

• DOI: 10.1109/newcas44328.2019.8961214
• 发表时间: 2019
• 期刊: 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS)
• 作者: A. Mohamed;A. Sakr;J. Anders
• 通讯作者: J. Anders

Visual neuroscience methods for marmosets: efficient receptive field mapping and head-free eye tracking

• DOI: 10.1523/eneuro.0489-20.2021
• 发表时间: 2021-05-01
• 期刊: ENEURO
• 影响因子: 3.4
• 作者: Jendritza, Patrick;Klein, Frederike J.;Fries, Pascal
• 通讯作者: Fries, Pascal

A Low Noise CMOS Sensor Frontend for a TMR-based Biosensing Platform

用于基于 TMR 的生物传感平台的低噪声 CMOS 传感器前端

• DOI: 10.1109/sensors47125.2020.9278826
• 发表时间: 2020
• 期刊: 2020 IEEE Sensors
• 作者: A. Mohamed;M. Schmid;A. Tanwear;H. Heidari;J. Anders
• 通讯作者: J. Anders