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TSP
2008
121views more  TSP 2008»
15 years 3 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
ICASSP
2010
IEEE
15 years 3 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
NN
2007
Springer
15 years 2 months ago
Hierarchical approaches to understanding consciousness
There has been much discussion of what a scientific theory of consciousness would look like, and even whether such a theory is possible. Some common misunderstandings of the natur...
L. Andrew Coward, Ron Sun
KES
1998
Springer
15 years 7 months ago
Attractor systems and analog computation
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Hava T. Siegelmann, Shmuel Fishman
POPL
2006
ACM
16 years 3 months ago
Engineering with logic: HOL specification and symbolic-evaluation testing for TCP implementations
The TCP/IP protocols and Sockets API underlie much of modern computation, but their semantics have historically been very complex and ill-defined. The real standard is the de fact...
Steve Bishop, Matthew Fairbairn, Michael Norrish, ...