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2020 – today
- 2024
[c9]Tal Vol, Loai Danial, Nir Shlezinger:
Power-Aware Task-Based Learning of Neuromorphic ADCs. ICASSP 2024: 5850-5854- [i4]Loai Danial, Kanishka Sharma, Shahar Kvatinsky:
A Pipelined Memristive Neural Network Analog-to-Digital Converter. CoRR abs/2406.02197 (2024) - [i3]Tal Vol, Loai Danial, Nir Shlezinger:
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation. CoRR abs/2409.15300 (2024) - 2022
- [i2]Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Physical based compact model of Y-Flash memristor for neuromorphic computation. CoRR abs/2202.10228 (2022) - [i1]Wei Wang, Loai Danial, Yang Li, Eric Herbelin, Evgeny Pikhay, Yakov Roizin, Barak Hoffer, Zhongrui Wang, Shahar Kvatinsky:
Memristive deep belief neural network by silicon synapses. CoRR abs/2203.09046 (2022) - 2020
- [j3]Hanna Abo Hanna
, Loai Danial, Shahar Kvatinsky, Ramez Daniel:
Cytomorphic Electronics With Memristors for Modeling Fundamental Genetic Circuits. IEEE Trans. Biomed. Circuits Syst. 14(3): 386-401 (2020) - [c8]Loai Danial, Vasu Gupta, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing. DATE 2020: 472-477 - [c7]Loai Danial, Shahar Kvatinsky:
Breaking the Conversion Wall in Mixed-Signal Systems Using Neuromorphic Data Converters. ECCTD 2020: 1-4 - [c6]Loai Danial, Kanishka Sharma, Shahar Kvatinsky:
A Pipelined Memristive Neural Network Analog-to-Digital Converter. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c5]Loai Danial, Kanishka Sharma, Shivansh Dwivedi, Shahar Kvatinsky:
Logarithmic Neural Network Data Converters using Memristors for Biomedical Applications. BioCAS 2019: 1-4 - [c4]Loai Danial, Sidharth Thomas, Shahar Kvatinsky:
Delta-Sigma Modulation Neurons for High-Precision Training of Memristive Synapses in Deep Neural Networks. ISCAS 2019: 1-5 - 2018
- [j2]Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky:
DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 146-158 (2018) - [j1]Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky:
Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs Using a Memristive Neuromorphic Architecture. IEEE Trans. Emerg. Top. Comput. Intell. 2(5): 396-409 (2018) - [c3]Loai Danial, Shahar Kvatinsky:
Real-Time Trainable Data Converters for General Purpose Applications. NANOARCH 2018: 34-36 - 2017
- [c2]Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel:
Modeling biochemical reactions and gene networks with memristors. BioCAS 2017: 1-4 - [c1]Ramez Daniel, Luna Rizik, Loai Danial:
Design principles of data converters for building large-scale gene networks in living cells. NANOCOM 2017: 7:1-7:2
Coauthor Index
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