1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of California, BerkeleyUS83 papers
- Lawrence Berkeley National LaboratoryUS59 papers
- Centre National de la Recherche ScientifiqueFR41 papers
- Al-Farabi Kazakh National UniversityKZ36 papers
- Korea Astronomy and Space Science InstituteKR23 papers
- Korea University of Science and TechnologyKR23 papers
- National Taiwan UniversityTW22 papers
- Ulugh Beg Astronomical InstituteUZ19 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR18 papers
- Fesenkov Astrophysical InstituteKZ18 papers
- Chinese Academy of SciencesCN17 papers
- Institut de Recherche en Astrophysique et PlanétologieFR17 papers
17 papers · 1 filter
Variation-aware Binarized Memristive Networks
Corey Lammie, Olga Krestinskaya, Alex James +1
The quantization of weights to binary states in Deep Neural Networks (DNNs) can replace resource-hungry multiply accumulate operations with simple accumulations. Such Binarized Neu…
Memristive LSTM network hardware architecture for time-series predictive modeling problem
Kazybek Adam, Kamilya Smagulova, Alex Pappachen James
Analysis of time-series data allows to identify long-term trends and make predictions that can help to improve our lives. With the rapid development of artificial neural networks,…
Programmable Memristive Threshold Logic Gate Array
Olga Krestinskaya, Akshay Kumar Maan, Alex Pappachen James
This paper proposes the implementation of programmable threshold logic gate (TLG) crossbar array based on modified TLG cells for high speed processing and computation. The proposed…
Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits
Olga Krestinskaya, Khaled Nabil Salama, Alex Pappachen James
The on-chip implementation of learning algorithms would speed-up the training of neural networks in crossbar arrays. The circuit level design and implementation of backpropagation…
Real-time Analog Pixel-to-pixel Dynamic Frame Differencing with Memristive Sensing Circuits
Olga Krestinskaya, Alex Pappachen James
In this paper, we propose an analog pixel differencing circuit for differentiating pixels between frames directly from CMOS pixels. The analog information processing at sensor is a…
Binary Weighted Memristive Analog Deep Neural Network for Near-Sensor Edge Processing
Olga Krestinskaya, Alex Pappachen James
The memristive crossbar aims to implement analog weighted neural network, however, the realistic implementation of such crossbar arrays is not possible due to limited switching sta…
Approximate Probabilistic Neural Networks with Gated Threshold Logic
Olga Krestinskaya, Alex Pappachen James
Probabilistic Neural Network (PNN) is a feed-forward artificial neural network developed for solving classification problems. This paper proposes a hardware implementation of an ap…
Memristor-based Synaptic Sampling Machines
Irina Dolzhikova, Khaled Salama, Vipin Kizheppatt +1
Synaptic Sampling Machine (SSM) is a type of neural network model that considers biological unreliability of the synapses. We propose the circuit design of the SSM neural network w…
Neuro-memristive Circuits for Edge Computing: A review
Olga Krestinskaya, Alex Pappachen James, Leon O. Chua
The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability…
Implementation of Chua's chaotic oscillator with an HP memristor
Muratkhan Abdirash, Irina Dolzhikova, Alex Pappachen James
This paper proposes an innovative chaotic circuit based on Chua's oscillator. It combines traditional realization of a non-linear resistor in Chua's chaotic oscillator with a promi…
CMOS-Memristive Analog Multiplier Design
Ileskhan Kalysh, Olga Krestinskaya, Alex Pappachen James
This paper proposes four quadrant analog multiplier using CMOS-memristor circuit. Currently, there are plenty of analog multipliers using resistors and CMOS transistors. They can a…
Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function
Meirambek Mukhametkhan, Olga Krestinskaya, Alex Pappachen James
The implementation of analog neural network and online analog learning circuits based on memristive crossbar has been intensively explored in recent years. The implementation of va…
Variability analysis of Memristor-based Sigmoid Function
Nursultan Kaiyrbekov, Olga Krestinskaya, Alex Pappachen James
Activation functions are widely used in neural networks to decide the activation value of the neural unit based upon linear combinations of the weighted inputs. The effective imple…
CMOS-Memristor Hybrid Integrated Pixel Sensors
Kamilya Smagulova, Aigerim Tankimanova, Alex Pappachen James
Increase in image resolution require the ability of image sensors to pack an increased number of circuit components in a given area. On the the other hand a high speed processing o…
A Survey of Memristive Threshold Logic Circuits
Akshay Kumar Maan, Deepthi Anirudhan Jayadevi, Alex Pappachen James
In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain. Br…
Memristor Load Current Mirror Circuit
Olga Krestinskaya, Irina Fedorova, Alex Pappachen James
Simple current mirrors with semiconductor resistive loads suffer from large on-chip area, leakage currents and thermal effects. In this paper, we report the feasibility of using me…
Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication
Alex Pappachen James, Dinesh S. Kumar, Arun Ajayan
Brain inspired circuits can provide an alternative solution to implement computing architectures taking advantage of fault tolerance and generalisation ability of logic gates. In t…