Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Alexantrou Serb"'
Publikováno v:
Frontiers in Nanotechnology, Vol 4 (2022)
Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As a result, a wide range of technologies have been
Externí odkaz:
https://doaj.org/article/8d136087f9f0426c84dd2eda3bc3a049
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 1, p 014003 (2023)
Memristors, emerging non-volatile memory devices, have shown promising potential in neuromorphic hardware designs, especially in spiking neural network (SNN) hardware implementation. Memristor-based SNNs have been successfully applied in a wide range
Externí odkaz:
https://doaj.org/article/1269888545e64f74918b43e20ab50e06
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
Conventional analogue and digital circuits are mixed at signal level yet remain technologically separate, adding complexity and cost. This work introduces a new design paradigm where the analogue and digital worlds are seamlessly fused via memristors
Externí odkaz:
https://doaj.org/article/aa50f30a7be84864a02f0956a41eb807
Autor:
Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, Themistoklis Prodromakis
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
The need for intelligent compression of big data, for example in neuroscience, has sparked interest in neuromorphic data processing. Here, Gupta et al.use memristors as event integrators to encode and compress neuronal spiking activity recorded by mu
Externí odkaz:
https://doaj.org/article/b1a38fd3a1fa4781acddf1d9e7c272a8
Autor:
Erika Covi, Stefano Brivio, Alexantrou Serb, Themis Prodromakis, Marco Fanciulli, Sabina Spiga
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Emerging brain-inspired architectures call for devices that can emulate the functionality of biological synapses in order to implement new efficient computational schemes able to solve ill-posed problems. Various devices and solutions are still under
Externí odkaz:
https://doaj.org/article/914fb284c10342bba6678b9504a6734a
Publikováno v:
2023 35th International Conference on Microelectronic Test Structure (ICMTS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50aa116b70a9be1cf9ad59d449e53b6
https://doi.org/10.1109/icmts55420.2023.10094156
https://doi.org/10.1109/icmts55420.2023.10094156
Autor:
Dhirendra Vaidya, Thomas Abbey, Spyros Stathopoulos, Shraddha Kothari, Loukas Michalas, Themis Prodromakis, Alexantrou Serb
Publikováno v:
IEEE Transactions on Electron Devices. 68:4885-4890
In the second part of this series, we propose a physics-based model for describing the temperature dependence of TiO x -based memristors, both switching and static. We show that the current–voltage ( ${I}$ – ${V}$ ) characteristics of memristor i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6b2b3a40849089160c31728d5160e36
https://doi.org/10.1109/ted.2021.3102002
https://doi.org/10.1109/ted.2021.3102002
Autor:
Themistoklis Prodromakis, Alexantrou Serb, Sachin Maheshwari, Christos Papavassiliou, Jiaqi Wang
Publikováno v:
International Journal of Circuit Theory and Applications. 49:3507-3525
Recording reliably extracellular neural activities is an essential prerequisite for the development of bioelectronics and neuroprosthetic applications. Recently, a fully differential, two-stage, integrating pre-amplifier was proposed for amplifying a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::973e55ca67fcc47ef2648a627a26b3de
https://doi.org/10.1002/cta.3101
https://doi.org/10.1002/cta.3101
Publikováno v:
IEEE Transactions on Electron Devices. 67:5166-5173
Volatility in metal-oxide resistive random access memory (RRAM) families has mostly been treated as an unwanted side-effect, although recently there are trends to interpret such behavior as an additional technological feature. To date, the field has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43ab4fe86953a1bf4e73f2c030a02bf
https://doi.org/10.1109/ted.2020.3022343
https://doi.org/10.1109/ted.2020.3022343
Publikováno v:
Maheshwari, S, Serb, A, Papavassiliou, C & Prodromakis, T 2022, ' An Adiabatic Capacitive Artificial Neuron With RRAM-Based Threshold Detection for Energy-Efficient Neuromorphic Computing ', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 9, pp. 3512-3525 . https://doi.org/10.1109/TCSI.2022.3182577
In the quest for low power, bio-inspired computation both memristive and memcapacitive-based Artificial Neural Networks (ANN) have been the subjects of increasing focus for hardware implementation of neuromorphic computing. One step further, regenera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fda212f4e9308a1a337e1a475fcf9f4
http://arxiv.org/abs/2202.01144
http://arxiv.org/abs/2202.01144
