SpiNNaker: Event-Based Simulation—Quantitative Behavior

Breaking the millisecond barrier on SpiNNaker: implementing asynchronous event-based plastic models with microsecond resolution

Spike-based neuromorphic sensors such as retinas and cochleas, change the way in which the world is sampled. Instead of producing data sampled at a constant rate, these sensors output spikes that are asynchronous and event driven. The event-based nature of neuromorphic sensors implies a complete paradigm shift in current perception algorithms toward those that emphasize the importance of precis...

SpiNNaker: Enhanced multicast routing

BESA: Behavior-Oriented, Event-Driven, Social-Based Agent Framework

This paper presents the BESA framework, which is intended to provide a flexible model that supports the design and implementation of MultiAgent Systems (MAS). The abstract model of BESA is based in three fundamental concepts: an event-driven control approach implementing a select like mechanism, a modular behavior-oriented agent architecture, and a social-based support for cooperation between a...

Appearance Based Behavior Recognition by Event Driven Selective Attention

Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous and missing image features and the singleobject assumption prevents us from analyzing image sequences including multiple moving objects. This paper presents a robust behavior recognition method free from these limitati...

Discovering Workflow Transactional Behavior from Event-Based Log

Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover transactional workflow that cannot be seen at the level of behavioral aspects of workflow. Their limitations mainly come from their incapacity to discover the transactional dependencies between...