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ESANN
2004
13 years 6 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 6 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
SAC
2009
ACM
14 years 7 days ago
Attention driven visual processing for an interactive dialog robot
In this paper we propose an attention-based vision system for the JAST interactive dialog robot. The robotic vision system incorporates three submodules: object recognition, gestu...
Thomas Müller, Alois Knoll