In this work, we propose a compact digital design for the implementation of high-volume SNN that considers the intrinsic stochastic processes present in ...

This is an unedited version of the accepted manuscript scheduled for publication. It has been uploaded in advance for the benefit of our customers.

Mar 18, 2019 · The proposed model achieves better results compared with other recently- published SNN models configured with unsupervised STDP learning.

This publication gives a short overview of several novel digital implementation of Spiking Neural Networks on Field Programmable Gate Arrays. The emphasis is on ...

This work presents a synthesis approach based on genetic algorithms, where a set of different structures of a feed-forward stochastic network is explored.

In this work we present a simple hardware implementation of spiking neurons that considers this probabilistic nature. The advantage of the proposed ...

Fully parallel stochastic computing hardware implementation of convolutional neural networks ... Compact hardware synthesis of stochastic spiking neural networks.

This survey presents the state of the art of hardware implementations of spiking neural networks and the current trends in algorithm elaboration from model ...

The sixth section gives the state of the art of SNNs' hardware implementations, for both large scale realization and small scale targeting low power for ...

In this survey, we present the state of the art of hardware implementations of spiking neural networks and the current trends in algorithm elaboration.