59 search results - page 6 / 12 » A spiking neuron model: applications and learning |
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
ESANN
2006
13 years 9 months ago
2006
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...