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Computing Motion with 3D Memristive Grid [article]

Chuan Kai Kenneth. Lim, T. Prodromakis
2013 arXiv   pre-print
In addition, a double-layered 3-D memristive network is employed for modeling the motion computations that take place in both the Outer Plexiform Layer (OPL) and Inner Plexiform Layer (IPL) that enables  ...  Computing the relative motion of objects is an important navigation task that we routinely perform by relying on inherently unreliable biological cells in the retina.  ...  The authors wish to acknowledge the financial support of the CHIST-ERA ERAnet EPSRC EP/J00801X/1 and EP/K017829/1.  ... 
arXiv:1303.3067v1 fatcat:4pnjuz4mu5gnfcrcjwsjseenae

Simulating Memristive Networks in SystemC-AMS [chapter]

Dietmar Fey, Lukas Riedersberger, Marc Reichenbach
2018 Memristor and Memristive Neural Networks  
The possible run times of the memristive network are determined in the SystemC-AMS simulation environment and are compared with an optical flow algorithm on classical hardware like a CPU and a GPU.  ...  This chapter presents a solution for the simulation of large memristive networks with SystemC-AMS.  ...  ), a version, which uses only one memristor in the fuses which is sufficient for edge detection as we found out (second left bar-optimized memristive fuses), using a hexagonal grid instead a 3 × 3 grid  ... 
doi:10.5772/intechopen.69662 fatcat:qxej3jlw4rbsvpkibeqxqknofu

Biomimetic model of the outer plexiform layer by incorporating memristive devices

A. Gelencsér, T. Prodromakis, C. Toumazou, T. Roska
2012 Physical Review E  
We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing-effect occurring at the OPL for enhancing the dynamic range of the system.  ...  networks with similar dynamics to their biological counterparts.  ...  Retinomorphic Memristive Grids.  ... 
doi:10.1103/physreve.85.041918 pmid:22680509 fatcat:djmu3safhrgghekjcofn3sclaa

A Biomimetic Model of the Outer Plexiform Layer by Incorporating Memristive Devices

Andras Gelencser, Themistoklis Prodromakis, Christofer Toumazou, Tamas Roska
2011 Nature Precedings  
cones, 92 million rods [3] and 1 million ganglion [4] .  ...  We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing-effect occurring at the OPL for enhancing the dynamic range of the system.  ...  Retinomorphic Memristive Grids.  ... 
doi:10.1038/npre.2011.6664.1 fatcat:cve3e3na2vdkhdacdci5o6crpy

A Survey of Memristive Threshold Logic Circuits

Akshay Kumar Maan, Deepthi Anirudhan Jayadevi, Alex Pappachen James
2017 IEEE Transactions on Neural Networks and Learning Systems  
processing, control systems, programmable logic, image processing, reconfigurable computing, and pattern recognition are identified as some of the potential applications of MTL systems.  ...  The physical realization of nanoscale devices with memristive behaviour from materials like TiO2, ferroelectrics, silicon, and polymers has accelerated research effort in these application areas inspiring  ...  ACKNOWLEDGEMENT We would like to thank all the reviewers for the constructive feedback and comments, that has helped us to improve the overall quality of the paper.  ... 
doi:10.1109/tnnls.2016.2547842 pmid:27164608 fatcat:eymhvqo3mfde5ehs3lu5zo2rba

Versatile Filamentary Resistive Switching Model [article]

Iosif-Angelos Fyrigos, Vasileios Ntinas, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis, Ioannis G. Karafyllidis
2020 arXiv   pre-print
More specifically, we apply quantum walks to model and compute the motion of atoms forming the filament, tight-binding Hamiltonians to capture the filament structure and the Non-Equilibrium Green's Function  ...  Furthermore, we proceeded with the parallelization of the overall model through Graphical Processing Units (GPUs) to accelerate our computations and enhance the model's performance adequately.  ...  /MIS T4∆PΩ-00030/5021467) supported by GSRT and funded by National and European funds.  ... 
arXiv:2008.07409v2 fatcat:copmg4pctjeidcvcopvw4yob3q

Advances in Memristor-Based Neural Networks

Weilin Xu, Jingjuan Wang, Xiaobing Yan
2021 Frontiers in Nanotechnology  
massive data calculation with low power consumption and small chip area.  ...  The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve  ...  output layer Convolution; Pooling Image classification; Face recognition; Video analysis CeNN Cell array with templates; 1-D, 2-D, or 3-D Dissipative non-linear cells; Lyapunov function;  ... 
doi:10.3389/fnano.2021.645995 fatcat:vosg25pqbvfa3icp74xin33rh4

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications [article]

Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 arXiv   pre-print
With the advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors, new opportunities are emerging for applying deep and Spiking Neural Network (SNN) algorithms to healthcare and  ...  In this paper, we provide a tutorial describing how various technologies ranging from emerging memristive devices, to established Field Programmable Gate Arrays (FPGAs), and mature Complementary Metal  ...  depicts some popular CNN architectures, accompanied with the total number of weights, and multiply-and-accumulate (MAC) operations that must be computed for a single image (656×468 for OpenPose, 224×224  ... 
arXiv:2007.05657v1 fatcat:amqutl3suvgq5nygna4ef36usy

Electrical control of memristance and magnetoresistance in oxide magnetic tunnel junctions

Kun Zhang, Yan-ling Cao, Yue-wen Fang, Qiang Li, Jie Zhang, Chun-gang Duan, Shi-shen Yan, Yu-feng Tian, Rong Huang, Rong-kun Zheng, Shi-shou Kang, Yan-xue Chen (+2 others)
2015 Nanoscale  
Electric-field control of magnetic and transport properties of magnetic tunnel junctions has been demonstrated.  ...  the purpose of avoiding long-range dipole interactions between periodic 45 images and reducing computing time technically.  ...  Lowmagnification and High resolution cross-section transmission electron microscopy (TEM) images of samples were performed with a JEOL 2200FS microscope.  ... 
doi:10.1039/c5nr00522a pmid:25785667 fatcat:limoltwqlfhvrmhz7rsifr4xmq

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Mostafa Rahimiazghadi, Corey Lammie, Jason Kamranr Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 IEEE Transactions on Biomedical Circuits and Systems  
With the advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors, new opportunities are emerging for applying deep and Spiking Neural Network (SNN) algorithms to healthcare and  ...  In this paper, we provide a tutorial describing how various technologies ranging from emerging memristive devices, to established Field Programmable Gate Arrays (FPGAs), and mature Complementary Metal  ...  inference ( Fig. 4(d) ).  ... 
doi:10.1109/tbcas.2020.3036081 pmid:33156792 fatcat:rjwfjd7vmvglpk762mqeyiteqq

Memristor: A New Concept in Synchronization of Coupled Neuromorphic C ircuits

Ch. K. Volos, I. M. Kyprianidis, I. N. Stouboulos, E. Tlelo - Cuautle, S. Vaidyanathan
2015 Journal of Engineering Science and Technology Review  
In this paper, the latest achievements and applications of this newly development circuit element are presented.  ...  For this reason, the circuits which are chosen realize the systems of differential equations that simulate the well-known Hindmarsh-Rose and FitzHugh-Nagumo neuron models.  ...  Image Processing: Memristive systems could be used for the edge detection which is an important computational step in early vision systems that finds application in various domains from computer vision  ... 
doi:10.25103/jestr.082.21 fatcat:vxujdekjajgyreo6k6pnnxqjvm

CMOS and Memristor-Based Neural Network Design for Position Detection

Idongesit E. Ebong, Pinaki Mazumder
2012 Proceedings of the IEEE  
There is a potential to improve upon analog computing with the adoption of MMOST designs.  ...  CMOS consumes 2:9 Â 10 À4 cm 2 area, 55-"W max power, and requires a 3-dB SNR. On the other hand, the MMOST design consumes 6 Â 10 À5 cm 2 , 15-"W max power, and requires a 4.8-dB SNR.  ...  Garegrat for his assistance with the STDP Verilog simulations.  ... 
doi:10.1109/jproc.2011.2173089 fatcat:gx3o3v6u3zcnxbxi57godwd4z4

Metastable oxygen vacancy ordering state and improved memristive behavior in TiO2 crystals

Tianyu Li, Fang Hong, Ke Yang, Binbin Yue, Nobumichi Tamura, Hua Wu, Zhenxiang Cheng, Chunchang Wang
2020 Science Bulletin  
This metastable ordering state leads to a first-order phase transition accompanied by significant enhancement of dielectric permittivity and a memristive effect featuring a low driving electric field.  ...  In this study, we identify a metastable oxygen vacancy ordering state other than the well-known Magnéli phases in TiO 2 crystals from both experimental and theoretical studies.  ...  Fang Hong, Binbin Yue, Nobumichi Tamura and Zhenxiang Cheng carried out in-situ synchrotron X-ray Laue diffraction measurements and data analysis.  ... 
doi:10.1016/j.scib.2020.02.013 fatcat:egnrmn4ifnawzfisqogkkbqt5q

A Proposal for Hybrid Memristor-CMOS Spiking Neuromorphic Learning Systems

T. Serrano-Gotarredona, T. Prodromakis, B. Linares-Barranco
2013 IEEE Circuits and Systems Magazine  
However, in the meantime, researchers are proposing and analyzing potential circuit architectures that would combine a standard CMOS substrate with a memristive nanoscale fabric on top to realize hybrid  ...  At present, the deep understanding of the internal mechanisms governing memristor operation is still an open issue, and the practical realization of very large scale and reliable "memristive fabric" for  ...  (c) Poker card deck browsed quickly, and (d) events captured during 3ms with a DVS and displayed in the (x,y) plane. Fig. 2 .Fig. 3 . 23 Illustration of synaptic action.  ... 
doi:10.1109/mcas.2013.2256271 fatcat:xixncv47prbuxajxs6bgrbb2wi

A hybrid nanomemristor/transistor logic circuit capable of self-programming

Julien Borghetti, Zhiyong Li, Joseph Straznicky, Xuema Li, Douglas A. A. Ohlberg, Wei Wu, Duncan R. Stewart, R. Stanley Williams
2009 Proceedings of the National Academy of Sciences of the United States of America  
As an illustrative demonstration, the compound Boolean logic operation (A AND B) OR (C AND D) was performed with kilohertz frequency inputs, using resistor-based logic in a memristor crossbar with FET  ...  Such conditional programming illuminates the way for a variety of self-programmed logic arrays, and for electronic synaptic computing. crossbar ͉ integrated circuit ͉ memristor ͉ nanoimprint lithography  ...  Snider, and Dmitri Strukov for valuable discussions. This work was partially supported by the Defense Advanced Research Projects Agency.  ... 
doi:10.1073/pnas.0806642106 pmid:19171903 pmcid:PMC2631082 fatcat:g7kubvahnbcandeyv7wnmh47me
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