MEMMEA

Hybrid MEMristor-CMOS Micro Electrode Array bio-sensing platform

Partner

Catherine_Dubourdieu

Prof. Dr. Catherine Dubourdieu

Helmholtz-Zentrum Berlin für Materialien und Energie GmbH

Stephan_Menzel_transparent

Dr.-Ing. Stephan Menzel

Forschungszentrum Jülich

Roland_Thewes-transparent

Prof. Roland Thewes

FG Sensorik u. Aktuatorik, TU Berlin

Peter_Jones_transparent

Dr. Peter Jones

NMI an der Universität Tübingen

Outcome

Amorphous Gallium-Oxide-Based Non-Filamentary Memristive Device with Highly Repeatable Multiple Resistance States

Onur Toprak, Florian Maudet, Markus Wollgarten, Charlotte Van Dijck, Roland Thewes, Veeresh Deshpande, Catherine Dubourdieu

Wiley Advanced, 18 March 2025

DOI: 10.1002/aelm.202400765

Influence of Humidity on the Resistive Switching of Hexagonal Boron Nitride-Based Memristors

Lukas Völkel, Rana Walied Ahmad, Alana Bestaeva, Dennis Braun, Sofía Cruces, Jimin Lee, Sergej Pasko, Simonas Krotkus, Michael Heuken, Stephan Menzel, Max C. Lemme

arXiv:2501.16359 [cond-mat.mtrl-sci], 20 January 2025

DOI: 10.48550/arXiv.2501.16359

Variability-aware modeling of electrochemical metallization memory cells

Rana Walied Ahmad; Rainer Waser; Florian Maudet; Onur Toprak; Catherine Dubourdieu; Stephan Menzel

Neuromorph. Comput. Eng., 26 August 2024

DOI: 10.1088/2634-4386/ad57e7

MEMMEA emulator at embedded world 2024
Analysis of VMM Operations on 1S1R Crossbar Arrays and the Influence of Wire Resistances

Rana Walied Ahmad; Dirk Wouters; Christopher Bengel; Rainer Waser; Stephan Menzel

2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May 2022 – 01 June 2022, Austin, TX, USA

DOI: 10.1109/ISCAS48785.2022.9937570

INVOLVED SCIENTISTS

Onur Toprak

PhD Student

Helmholtz-Zentrum Berlin für Materialien und Energie GmbH

Rana Walied Ahmad

PhD Student

Forschungszentrum Jülich

Alex Wiemhoefer

PhD Student

FG Sensorik u. Aktuatorik, TU Berlin

Tom Stumpp

PhD Student

NMI an der Universität Tübingen

Project Description

Recording of neuronal activities provides a path to understanding brain’s functionality. Chip-based neuronal probes such as CMOS -based micro-electrode arrays (MEA) have made significant progress in recent years providing a platform to record neuronal electrical signals in vitro from multiple sites. This has tremendously progressed neuronal activity recording in real-time. However, it is essential to have low power circuit architecture capable of on-chip neuronal signal processing and electrical stimulation to enable implantable brain stimulation chips. Current CMOS-only neuronal probes have restrictions in power budget to achieve such fully implantable autonomous neuroprosthetics. Therefore, one needs research efforts bringing together energy efficient devices and novel low power circuit design techniques to develop a power efficient system.

Memristive devices with their unique characteristics of gradual resistance change, pulse summation, and thresholding behavior can enable compact circuits for neuronal data processing. Therefore, we propose to explore and develop an integrated platform of memristive devices and CMOS MEAs to enable real time power-efficient neuronal sensing probes. This proposal targets on-chip co-integration of memristive devices with CMOS MEA circuits to detect, process neural tissue activity and eventually provide ability for electrical stimulation feedback. In the proposed research, novel memristor-CMOS hybrid circuits will be developed to achieve on-chip signal processing. The development of these new circuit techniques will open doors for broader bio sensing applications.

To conduct such an ambitious project, the proposal brings together the best expertise from a broad range of areas: device fabrication and electrical characterization, physical and compact modeling, CMOS circuit design, and in vitro biological characterization. The consortium consists of researchers from HZB, TUB, FZJ, and NMI, leveraging the expertise of four partners who are internationally recognized players in their respective area. In order to demonstrate the neuronal probe platform following objectives are targeted:

Objective 1: Development of smart neuron sensors through fabrication of memristive devices on top of CMOS micro-electrode array (MEA) neuron activity sensing chips.

Objective 2: Development of a memristive device compact model based on fabricated device characteristics and utilization for circuit design.

Objective 3: Optimization of memristive device architecture to achieve power efficient and reliable processing of biological neuronal signals (spike detection in single cells and populations).

Objective 4: Characterization of memristive device response to wide range of pulse widths generated on-chip (down to ~1 ns) to advance device physics understanding as well as compact model optimization.

The ultimate vision of the proposal is to develop an energy efficient bio-sensing platform based on memristive device-CMOS hybrid circuits.

 

Further involved scientists

Onur_Toprak_transparent

Onur Toprak

Helmholtz-Zentrum Berlin für Materialien und Energie GmbH

Tom_Stumpp_transparent2

Tom Stumpp

NMI an der Universität Tübingen

Walied_Ahmad_transparent

Walied Ahmad

Forschungszentrum Jülich