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» Modeling spiking neural networks
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ICANN
2005
Springer
16 years 1 days ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
ICANN
2005
Springer
16 years 1 days ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...
IWANN
2009
Springer
16 years 1 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
ICANN
2007
Springer
16 years 21 days ago
Towards Understanding of Natural Language: Neurocognitive Inspirations
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
ISNN
2005
Springer
16 years 1 days ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...