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» Structure-Preserving Model Reduction
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BC
2006
83views more  BC 2006»
15 years 3 months ago
An Algorithmic Method for Reducing Conductance-based Neuron Models
Although conductance-based neural models provide a realistic depiction of neuronal activity, their complexity often limits effective implementation and analysis. Neuronal model red...
Michael E. Sorensen, Stephen P. DeWeerth
SCP
2000
135views more  SCP 2000»
15 years 2 months ago
A calculus of functional BSP programs
An extension of the -calculus called BS is introduced as a formal basis for functional languages expressing bulk synchronous parallel algorithms. A con uence result is shown. The ...
Frédéric Loulergue, Gaétan Ha...
JMLR
2010
93views more  JMLR 2010»
14 years 9 months ago
Sufficient covariates and linear propensity analysis
Working within the decision-theoretic framework for causal inference, we study the properties of "sufficient covariates", which support causal inference from observation...
Hui Guo, A. Philip Dawid
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
15 years 28 days ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
BC
2010
57views more  BC 2010»
15 years 10 days ago
Mappings between a macroscopic neural-mass model and a reduced conductance-based model
We present two alternative mappings between a macroscopic neural mass model and a reduction of a conductance-based model. These provide possible explanations of the relationship b...
Serafim Rodrigues, Anton V. Chizhov, Frank Marten,...