Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Amirali Amirsoleimani"'
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 10, Pp n/a-n/a (2023)
As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's low‐power and high‐speed computations, making it crucial in
Externí odkaz:
https://doaj.org/article/75d6c6fefde94c75b16af6ec37574981
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 8, Pp n/a-n/a (2023)
Herein, an efficient numerical solver for stochastic differential equations based on memristors is presented. The solver utilizes the stochastic switching effect in memristive devices to simulate the generation of a Brownian path and employs iterativ
Externí odkaz:
https://doaj.org/article/7ef982b6926c4b8ab34592e56697c4aa
Publikováno v:
Frontiers in Nanotechnology, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/dcebae71399d42bca1ec17f6a064cf6a
Publikováno v:
Memories - Materials, Devices, Circuits and Systems, Vol 4, Iss , Pp 100038- (2023)
This work presents a novel 4-bit subranging nonuniform sampling (NUS) memristive neural network-based analog-to-digital converter (ADC) with improved performance trade-off among speed, power, area, and accuracy. The proposed design preserves the memr
Externí odkaz:
https://doaj.org/article/ed44fb3fe86c4485adf21c166ac69333
Autor:
Ben Walters, Hamid Rahimian Kalatehbali, Zhengyu Cai, Roman Genov, Amirali Amirsoleimani, Jason Eshraghian, Mostafa Rahimi Azghadi
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 3, p 034005 (2024)
Auto-encoders are capable of performing input reconstruction, denoising, and classification through an encoder-decoder structure. Spiking Auto-Encoders (SAEs) can utilize asynchronous sparse spikes to improve power efficiency and processing latency o
Externí odkaz:
https://doaj.org/article/ff7678080d6d4e2c8c25be8aba5bfdce
Publikováno v:
Frontiers in Nanotechnology, Vol 4 (2022)
Externí odkaz:
https://doaj.org/article/01f3747bc2e64a47ba981ed4440ad42b
Autor:
Victor Yon, Amirali Amirsoleimani, Fabien Alibart, Roger G. Melko, Dominique Drouin, Yann Beilliard
Publikováno v:
Frontiers in Electronics, Vol 3 (2022)
Novel computing architectures based on resistive switching memories (also known as memristors or RRAMs) have been shown to be promising approaches for tackling the energy inefficiency of deep learning and spiking neural networks. However, resistive s
Externí odkaz:
https://doaj.org/article/c2d94ee91ac64b69be730a9ee34cc93c
Autor:
Amirali Amirsoleimani, Fabien Alibart, Victor Yon, Jianxiong Xu, M. Reza Pazhouhandeh, Serge Ecoffey, Yann Beilliard, Roman Genov, Dominique Drouin
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 11, Pp n/a-n/a (2020)
The low communication bandwidth between memory and processing units in conventional von Neumann machines does not support the requirements of emerging applications that rely extensively on large sets of data. More recent computing paradigms, such as
Externí odkaz:
https://doaj.org/article/d14fbf9b3a47438abc008e6c6ff5106a
Autor:
Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason K. Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 5, Pp n/a-n/a (2020)
The ever‐increasing processing power demands of digital computers cannot continue to be fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing, which takes inspiration from the highly parallel, low‐power, hig
Externí odkaz:
https://doaj.org/article/205ef7b996874345886cf99c4dd1ebfd
Autor:
Mohammad Reza Pazhouhandeh, Amirali Amirsoleimani, Iliya Weisspapir, Peter Carlen, Roman Genov
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 16:1138-1152
Responsive deep brain stimulation (DBS) requires recruiting deep brain structures without affecting the superficial neuronal population. Neurosurgeons widely use implanted electrodes, which are highly localized but invasive, to stimulate the deep bra