A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation

A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation

Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, following a specific organization of the connectivity pattern between layers...

Full description

Bibliographic Details
Main Authors: Luis A. Camuñas-Mesa, Yaisel L. Domínguez-Cordero, Alejandro Linares-Barranco, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-02-01
Series:Frontiers in Neuroscience
Subjects:
convolutional neural networks
neuromorphic vision
Address Event Representation (AER)
event-driven processing
neural network hardware
Reconfigurable Networks
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00063/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2018.00063/full

Similar Items