Dynamic electrical compact model of GMR sensors for neuromorphically inspired applications
Source abstract
Abstract
Neuromorphism is a state-of-the-art paradigm driving the design of many novel devices, including sensors. The development of such systems, usually involving the implementation of complex mixed CMOS/sensors chips, is constrained by the lack of compact electrical models compatible with the most utilized design tools. This paper proposes a dynamic compact electrical model specifically conceived for bio-inspired applications of giant magnetoresistance (GMR) based magnetic scanning sensors. The model includes blocks for static analysis, frequency sweeps, and transient simulations. The model, written in Verilog-A high-level language, can be directly used in most of the standard CMOS design platforms, such as Cadence.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Magnetic properties of thin films · Magnetic Field Sensors Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering, Universitat de València 1 , Burjassot, Spain
Department of Computer Science, Universitat de València 2 , Burjassot, Spain
Instituto de Engenharia de Sistemas e Computadores – Microsistemas e Nanotecnologias and Physics Department Instituto Superior Tecnico, Universidade de Lisboa 3 , Lisboa, Portugal
Funding
Ministerio de Ciencia e Innovación · Fundação para a Ciência e a Tecnologia
References (19)
Show source-provided references
1. Spike-based strategies for rapid processing10.1016/s0893-6080(01)00083-1 ↗
2. Speed of processing in the human visual system10.1038/381520a0 ↗
3. Mechanics of the mammalian cochlea10.1152/physrev.2001.81.3.1305 ↗
4. Neuromorphic engineering—a paradigm shift for future IM technologies10.1109/mim.2019.8674627 ↗
5. 1992
6. Applications of event-based image sensors-review and analysis10.1002/cta.2546 ↗
7. Selective change driven imaging: A biomimetic visual sensing strategy10.3390/s111111000 ↗
8. Advanced giant magnetoresistance (GMR) sensors for selective-change driven (SCD) circuits10.1109/cde52135.2021.9455731 ↗
9. High-resolution nondestructive test probes based on magnetoresistive sensors10.1109/tie.2018.2879306 ↗
10. Highly-sensitive magnetic sensor for detecting magnetic nanoparticles based on magnetic tunnel junctions at a low static field10.1063/9.0000189 ↗
11. Detection and characterization of defects using GMR probes and artificial neural networks10.1016/j.csi.2010.06.011 ↗
12. Modeling of magnetoresistive-based electrical current sensors: A technological approach10.1109/jsen.2007.908241 ↗
13. Manufacturing, characterization, and simulation model design for a current sensor based on a spin-valve magnetoresistive microstructure10.1109/tcpmt.2022.3151952 ↗
14. Analytical compact modeling of GMR based current sensors: Application to power measurement at the IC level10.1016/j.sse.2010.07.012 ↗
15. A DC behavioral electrical model for quasi-linear spin-valve devices including thermal effects for circuit simulation10.1016/j.mejo.2010.10.005 ↗
16. An in-depth noise model for giant magnetoresistance current sensors for circuit design and complementary metal-oxide-semiconductor integration10.1063/1.4865771 ↗
17. Full wheatstone bridge spin-valve based sensors for IC currents monitoring10.1109/jsen.2009.2030880 ↗
18. Parasitic capacitances, inductive coupling, and high-frequency behavior of AMR sensors10.1109/jsen.2019.2953351 ↗
19. Optimised GMR sensors for low and high frequencies applications10.1016/j.sna.2005.11.043 ↗