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NECO
2010
103views more  NECO 2010»
13 years 2 months ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
JCNS
2010
104views more  JCNS 2010»
13 years 5 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
FOSSACS
2003
Springer
14 years 18 days ago
Model Checking Lossy Channels Systems Is Probably Decidable
Lossy channel systems (LCS’s) are systems of finite state automata that communicate via unreliable unbounded fifo channels. We propose a new probabilistic model for these syste...
Nathalie Bertrand, Ph. Schnoebelen
ECAL
2003
Springer
14 years 18 days ago
Pattern Recognition in a Bucket
This paper demonstrates that the waves produced on the surface of water can be used as the medium for a “Liquid State Machine” that pre-processes inputs so allowing a simple pe...
Chrisantha Fernando, Sampsa Sojakka
CORR
2002
Springer
110views Education» more  CORR 2002»
13 years 7 months ago
Long Proteins with Unique Optimal Foldings in the H-P Model
It is widely accepted that (1) the natural or folded state of proteins is a global energy minimum, and (2) in most cases proteins fold to a unique state determined by their amino ...
Oswin Aichholzer, David Bremner, Erik D. Demaine, ...