66 citations · 79 across the 4 of their papers we have counts for
4 papers
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation
Tal Vol, Loai Danial, Nir Shlezinger
The ability to process signals in digital form depends on analog-to-digital converters (ADCs). Traditionally, ADCs are designed to ensure that the digital representation closely ma…
A Pipelined Memristive Neural Network Analog-to-Digital Converter
Loai Danial, Kanishka Sharma, Shahar Kvatinsky
With the advent of high-speed, high-precision, and low-power mixed-signal systems, there is an ever-growing demand for accurate, fast, and energy-efficient analog-to-digital (ADCs)…
A memristive deep belief neural network based on silicon synapses
Wei Wang, Loai Danial, Yang Li +6
Memristor-based neuromorphic computing could overcome the limitations of traditional von Neumann computing architectures -- in which data are shuffled between separate memory and p…
Physical based compact model of Y-Flash memristor for neuromorphic computation
Wei Wang, Loai Danial, Eric Herbelin +6
Y-Flash memristors utilize the mature technology of single polysilicon floating gate non-volatile memories (NVM). It can be operated in a two-terminal configuration similar to the…