3k citations · 3k across the 2 of their papers we have counts for
4 papers
Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training
Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli +1
Spiking neural networks drawing inspiration from biological constraints of the brain promise an energy-efficient paradigm for artificial intelligence. However, challenges exist in…
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance
Osama Yousuf, Brian Hoskins, Karthick Ramu +8
Artificial neural networks have advanced due to scaling dimensions, but conventional computing faces inefficiency due to the von Neumann bottleneck. In-memory computation architect…
Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays
Hussein Nili, Gina C. Adam, Mirko Prezioso +4
The rapidly expanding hardware-intrinsic security primitives are aimed at addressing significant security challenges of a massively interconnected world in the age of information t…
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors
Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins +3
Despite all the progress of semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex makes the hardware implementation of neuromorphic netwo…