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NPL
2002
110views more  NPL 2002»
13 years 7 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
IUI
2010
ACM
14 years 4 months ago
A POMDP approach to P300-based brain-computer interfaces
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Jaeyoung Park, Kee-Eung Kim, Sungho Jo
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 2 months ago
Communication, convergence, and stochastic stability in self-assembly
Existing work on programmable self assembly has focused on deterministic performance guarantees--stability of desirable states. In particular, for any acyclic target graph a binary...
Michael J. Fox, Jeff S. Shamma
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
13 years 11 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 9 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...