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» Evolving Complex Neural Networks
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ESANN
2006
14 years 11 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
ECAL
2007
Springer
15 years 4 months ago
The Evolution of Pain
We describe two simple simulations in which artificial organisms evolve an ability to respond to inputs from within their own body and these inputs themselves can evolve. In the fi...
Alberto Acerbi, Domenico Parisi
FCCM
2009
IEEE
147views VLSI» more  FCCM 2009»
15 years 1 months ago
FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
David Thomas, Wayne Luk
IJCNN
2000
IEEE
15 years 2 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
IPCV
2008
14 years 11 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop