This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural ...

This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, ...

Published in Lecture Notes in Computer Science by Springer Berlin Heidelberg. 2003 p427-435. Type chapter. Stage published. Year 2003.

This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural ...

This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural ...

In this paper we present a novel model based on neural networks denominated lateral interaction in accumulative computation (LIAC). This model is based on a ...

Lateral interaction in accumulative computation: a model for motion detection ... A Model of Neural Inspiration for Local Accumulative Computation · J. MiraM ...

As a brain-inspired computational model, spiking neural networks (SNNs) are well suited for processing spatiotemporal information (Maass, 1997). In ...

LIAC is the implementation for computer vision of two biologically-inspired methods denominated algorithmic lateral interaction and accumulative computation.

A neural network model is a computational structure that is built step by step by passing the output of one layer as the input of the next layer until the ...