221 citations · 470 across the 37 of their papers we have counts for
4 papers · 1 filter
An Inference and Learning Engine for Spiking Neural Networks in Computational RAM (CRAM)
Hüsrev Cılasun, Salonik Resch, Zamshed I. Chowdhury +8
Spiking Neural Networks (SNN) represent a biologically inspired computation model capable of emulating neural computation in human brain and brain-like structures. The main promise…
Molecular MUX-Based Physical Unclonable Functions
Lulu Ge, Keshab K. Parhi
Physical unclonable functions (PUFs) are small circuits that are widely used as hardware security primitives for authentication. These circuits can generate unique signatures becau…
Training DNA Perceptrons via Fractional Coding
Xingyi Liu, Keshab K. Parhi
This paper describes a novel approach to synthesize molecular reactions to train a perceptron, i.e., a single-layered neural network, with sigmoidal activation function. The approa…
Molecular and DNA Artificial Neural Networks via Fractional Coding
Xingyi Liu, Keshab K. Parhi
This paper considers implementation of artificial neural networks (ANNs) using molecular computing and DNA based on fractional coding. Prior work had addressed molecular two-layer…