most citedEfficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

5 citations · 5 across the 1 of their papers we have counts for

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cs.NE2026

A Resource-Efficient and Precision-Scalable FPGA Accelerator for Spiking Neural Networks Using Minifloat Arithmetic

Ali Mehrabi, Philip C. Jose

Spiking neural networks (SNNs) are well suited to event-driven edge intelligence, but the arithmetic complexity, memory footprint, and power consumption associated with conventiona…

cs.NE2023★ 5 cited

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

Ali Mehrabi, Yeshwanth Bethi, André van Schaik +2

This paper presents an efficient hardware implementation of the recently proposed Optimized Deep Event-driven Spiking Neural Network Architecture (ODESA). ODESA is the first networ…