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114
Voted
NPL
2000
88views more  NPL 2000»
15 years 3 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes
126
Voted
DAC
2009
ACM
15 years 10 months ago
Clock skew optimization via wiresizing for timing sign-off covering all process corners
Manufacturing process variability impacts the performance of synchronous logic circuits by means of its effect on both clock network and functional block delays. Typically, varia...
Sari Onaissi, Khaled R. Heloue, Farid N. Najm
116
Voted
PERCOM
2008
ACM
16 years 3 months ago
Environment-Awareness: Quantitative Processing of Context Changes
Comparing context of different entities is not easy at all. Since context depends on the situation of a particular entity it can be understood in different ways by various entitie...
Andreas Heil, Martin Gaedke
126
Voted
NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 3 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
120
Voted
NC
2010
150views Neural Networks» more  NC 2010»
15 years 1 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...