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APPINF
2003
14 years 11 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
ICIP
2010
IEEE
14 years 7 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
IJON
2006
84views more  IJON 2006»
14 years 10 months ago
Dynamic regulation of spike-timing dependent plasticity in electrosensory processing
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
Patrick D. Roberts, Gerardo Lafferriere, Nathaniel...
DATE
2006
IEEE
127views Hardware» more  DATE 2006»
15 years 4 months ago
ASIP design and synthesis for non linear filtering in image processing
This paper presents an Application Specific Instruction Set Processor (ASIP) design for the implementation of a class of nonlinear image processing algorithms, the Retinex-like fi...
Luca Fanucci, Michele Cassiano, Sergio Saponara, D...
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
15 years 3 months ago
A continuous time markov decision process based on-chip buffer allocation methodology
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
Sankalp Kallakuri, Nattawut Thepayasuwan, Alex Dob...