Title

High accuracy implementation of Adaptive Exponential integrated and fire neuron model

Document Type

Conference Proceeding

Publication Date

10-31-2016

Publication Title

Proceedings of the International Joint Conference on Neural Networks

Volume

2016-October

First Page

192

Keywords

Adaptive Exponential integrated and fire model (AdEx), FPGA, High accuracy, Neuromorphic, Pipelining

Last Page

197

Abstract

It is expensive to simulate large-scale neural networks on hardware while ensuring a high resemblance to the original neurons' behavior. This paper introduces a novel technique to facilitate digital implementation and computer simulation of neuron models that contain an exponential term. This technique is applied to a biologically realistic neuron model called Adaptive Exponential integrated and fire (AdEx). Hardware synthesis and physical implementations show that the resulting model can reproduce precise neural behavior with high performance and considerably lower implementation costs compared with the original AdEx model.

DOI

10.1109/IJCNN.2016.7727198

ISBN

9781509006199

Link to Full Text

Share

COinS