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NIPS
2003
13 years 10 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
PC
2006
218views Management» more  PC 2006»
13 years 8 months ago
A model based on cellular automata for the parallel simulation of 3D unsaturated flow
Cellular automata (CA) are discrete dynamic systems that have been used for modeling many physical systems. CA are often used as an alternative to model and solve large-scale syst...
Gianluigi Folino, Giuseppe Mendicino, Alfonso Sena...
EMSOFT
2008
Springer
13 years 10 months ago
Automatically transforming and relating Uppaal models of embedded systems
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
Timothy Bourke, Arcot Sowmya
TAMC
2009
Springer
14 years 3 months ago
The Extended Turing Model as Contextual Tool
Computability concerns information with a causal – typically algorithmic – structure. As such, it provides a schematic analysis of many naturally occurring situations. We look ...
S. Barry Cooper
SIGGRAPH
1995
ACM
14 years 7 days ago
Interactive physically-based manipulation of discrete/continuous models
Physically-based modeling has been used in the past to support a variety of interactive modeling tasks including free-form surface design, mechanism design, constrained drawing, a...
Mikako Harada, Andrew P. Witkin, David Baraff