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… (More)
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Papers overview

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2013
2013
We describe a set of fast, tractable methods for characterizing neural responses to high-dimensional sensory stimuli using a… (More)
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Highly Cited
2012
Highly Cited
2012
Despite more than two decades of research and development on nucleic acid vaccines, there is still no commercial product for… (More)
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2011
2011
Collective classification in relational data has become an important and active research topic in the last decade. It exploits… (More)
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2009
2009
Linear-Nonlinear-Poisson (LNP) models are a popular and powerful tool for describing encoding (stimulus-response) transformations… (More)
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2008
2008
The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in… (More)
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Highly Cited
2005
Highly Cited
2005
We develop a method for decomposing countries’ observed export prices into quality versus quality-adjusted-price components using… (More)
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2004
2004
Cuttings of two similar hybrid poplar clones were planted on a drum-chopped, chip-harvested clearcut in eastern Maine. The site… (More)
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2004
2004
Tech. Dig., San Francisco, CA, USA, 2002, pp. 192-193 5 ISHII, K., MURATA. K., IDA, M., KURISHIMA, K., ENOKI, T., SHIBATA, T… (More)
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2003
2003
– We show that Kramers rate theory gives a straightforward, accurate estimate of the closing time τc of a semiflexible polymer… (More)
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2000
2000
1. Seedling relative growth rate (RGR) is often decomposed into the product of specific leaf area (leaf area per leaf mass, SLA… (More)
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