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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… 
2014
2014
Protected area management has been an area of inquiry where institutional innovations are being continually attempted… 
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
[Extract] The public and private lives of women have come under scrutiny in Queensland in the last couple of months, including in… 
2011
2011
Collective classification in relational data has become an important and active research topic in the last decade. It exploits… 
2011
2011
Having established the framework for biglobal hydrodynamic instability of an incompressible mean flowfield in Part 1 of this two… 
2008
2008
The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in… 
2007
2007
Natural Language Processing (LPN) Techiniques facilitate the automatic acquisition of some didactic resources. Using corpora as… 
1997
1997
Pilot symbol assisted modulation (PSAM) is amethod to reduce the effects of fading in mobilecommunications by periodically…