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Linear-nonlinear-Poisson cascade model

Known as: LNP, LNP model, Linear-Nonlinear-Poisson 
The linear-nonlinear-Poisson (LNP) cascade model is a simplified functional model of neural spike responses. It has been successfully used to… 
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Papers overview

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2014
2014
The local neighborhood selection plays a crucial role for most representation based manifold learning algorithms. This paper… 
2014
2014
The smoothness hypothesis is critical for graph-based semi-supervised learning. This paper defines local smoothness, based on… 
2012
2012
The objective of the present study was to evaluate estrus and conception rates obtained with the use of progesterone (P 4 ) cream… 
2012
2012
During the last decades we have witnessed tremendous progress in the experimental and theoretical characterization of… 
2011
2011
Collective classification in relational data has become an important and active research topic in the last decade. It exploits… 
2008
2008
The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in… 
2008
2008
Community noise levels in Ilorin metropolis were measured and analyzed. The noise climate variation was observed to be a function… 
2002
2002
Nowadays life would be difficult to imagine without the ubiquitous presence of polymers. They are very important from both, the… 
1996
1996
A process for the monolithic integration of enhancement- and depletion-mode high electron mobility transistors (E/D-HEMTs) in the… 
1989
1989
Submillimeter-length, monolithic, Fabry-Perot-cavity lasers were fabricated from the stoichiometric neodymium compound, Lithium…