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» On the Power of Computing with Proteins on Membranes
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COCOON
2005
Springer
15 years 3 months ago
On Sequential and 1-Deterministic P Systems
Abstract. The original definition of P-systems calls for rules to be applied in a maximally parallel fashion. However, in some cases a sequential model may be a more reasonable as...
Oscar H. Ibarra, Sara Woodworth, Hsu-Chun Yen, Zhe...
89
Voted
BMCBI
2006
150views more  BMCBI 2006»
14 years 9 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
JCNS
2000
104views more  JCNS 2000»
14 years 9 months ago
Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes
Abstract. Voltage-gated ion channels in neuronal membranes fluctuate randomly between different conformational states due to thermal agitation. Fluctuations between conducting and ...
Peter N. Steinmetz, Amit Manwani, Christof Koch, M...
TCSB
2010
14 years 8 months ago
Modelling Self-assembly in BlenX
Abstract. The process through which disordered components spontaneously arrange themselves into patterns is called self-assembly. Molecular self-assembly describes the process by w...
Roberto Larcher, Corrado Priami, Alessandro Romane...
66
Voted
NIPS
2004
14 years 11 months ago
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...