4 citations · 7 across the 3 of their papers we have counts for
3 papers
Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures
Marco Rasetto, Himanshu Akolkar, Ryad Benosman
The Hierarchy Of Time-Surfaces (HOTS) algorithm, a neuromorphic approach for feature extraction from event data, presents promising capabilities but faces challenges in accuracy an…
Building time-surfaces by exploiting the complex volatility of an ECRAM memristor
Marco Rasetto, Qingzhou Wan, Himanshu Akolkar +3
Memristors have emerged as a promising technology for efficient neuromorphic architectures owing to their ability to act as programmable synapses, combining processing and memory i…
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition
Marco Rasetto, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez +1
In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) and audio recognition. However, these efforts often translat…