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1Dejittered spike-conditioned stimulus waveforms yield improved estimates of neuronal feature selectivity and spike-timing precision of sensory interneurons
Z. Aldworth, J. Miller, T. Gedeon, G. Cummins, и A. Dimitrov. J Neurosci, 25 (22): 5323--32 (июня 2005)
15 лет назад , @fdiehl
Animals,
Theory,
Action
Invertebrate,
Female,
Neurons:
Ganglia:
Information
Afferent,
Reaction
Time,
Physical
Potentials
Stimulation,
Gryllidae,
Algorithms,
Interneurons,
Animals,Theory,ActionInvertebrate,Female,Neurons:Ganglia:InformationAfferent,ReactionTime,PhysicalPotentialsStimulation,Gryllidae,Algorithms,Interneurons,
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1Calcium modulation of single SR potassium channel currents in heart muscle.
A. Uehara, M. Yasukochi, и I. Imanaga. J. Mol. Cell. Cardiol., 26 (2): 195--202 (февраля 1994)
16 лет назад , @hake
Alternative
Ion
Biological,
Lung,
Transport,
Molecular,
Animals,
Manganese,
Fura-2,
Cobalt,
Cells,
Data,
Hypoxia,
Dose-Response
Membrane
Relationship,
Motifs,
Radioisotopes,
Cricetulus,
Binding
Channel
Membranes,
Biological
Sequence
Potentials,
Conserved
Extracellular
Cysteine,
Protein
Cations,
Cytoplasm,
Acids,
Asparagine,
Models,
Chimeric
Heart
In
Binding,
Intercellular
Cloning,
Triphosphate,
Molecular
Expression,
Competitive,
Gene
Drug,
Aspartic
Enzyme
Bilayers,
AMP-Dependent
Heart,
Sites,
Mice,
Calcium,
Electric
Animal,
Lipid
Humans,
Hamsters,
Kinases,
Junctions,
Gating,
Sequence,
Membrane,
Ventricles,
Calcium
Dogs,
Kidney
Cadmium,
Ligands,
Electrophysiology,
Vitro,
Carrier
Splicing,
Algorithms,
Cell
Biotransformation,
Fibroblasts,
Channels,
Acid,
Compounds,
Cattle,
Cyclic
Line,
Knockout,
Magnesium,
Adenosine
Lithium,
Space,
Tubules,
Acid
Aniline
Substitution,
Kinetics,
Proteins,
Inhibitors,
Lanthanu,
Arachidonic
Amino
Cultured,
Conductivity,
AlternativeIonBiological,Lung,Transport,Molecular,Animals,Manganese,Fura-2,Cobalt,Cells,Data,Hypoxia,Dose-ResponseMembraneRelationship,Motifs,Radioisotopes,Cricetulus,BindingChannelMembranes,BiologicalSequencePotentials,ConservedExtracellularCysteine,ProteinCations,Cytoplasm,Acids,Asparagine,Models,ChimericHeartInBinding,IntercellularCloning,Triphosphate,MolecularExpression,Competitive,GeneDrug,AsparticEnzymeBilayers,AMP-DependentHeart,Sites,Mice,Calcium,ElectricAnimal,LipidHumans,Hamsters,Kinases,Junctions,Gating,Sequence,Membrane,Ventricles,CalciumDogs,KidneyCadmium,Ligands,Electrophysiology,Vitro,CarrierSplicing,Algorithms,CellBiotransformation,Fibroblasts,Channels,Acid,Compounds,Cattle,CyclicLine,Knockout,Magnesium,AdenosineLithium,Space,Tubules,AcidAnilineSubstitution,Kinetics,Proteins,Inhibitors,Lanthanu,ArachidonicAminoCultured,Conductivity,
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1Rapid activation of the cardiac ryanodine receptor by submillisecond calcium stimuli.
A. Zahradn�kov�, I. Zahradn�k, I. Gy�rke, и S. Gy�rke. J. Gen. Physiol., 114 (6): 787--798 (декабря 1999)
16 лет назад , @hake
Patch-Clamp
Calcium,
Channel
Ion
Biological,
Support,
Lipid
Reticulum,
P.H.S.,
Receptor
Chelating
Microsomes,
Techniques,
Gating,
Magnesium,
Acids,
Models,
Animals,
Ryanodine
Signaling,
Calcium
In
Myocytes,
Myocardium,
Agents,
Dogs,
Acetic
Sarcoplasmic
10578015
Gov't,
Research
Cells,
Photolysis,
Kinetics,
Vitro,
Dose-Response
U.S.
Ethylenediamines,
Non-U.S.
Cardiac,
Channel,
Algorithms,
Drug,
Relationship,
Bilayers,
Cultured,
Heart,
Release
Patch-ClampCalcium,ChannelIonBiological,Support,LipidReticulum,P.H.S.,ReceptorChelatingMicrosomes,Techniques,Gating,Magnesium,Acids,Models,Animals,RyanodineSignaling,CalciumInMyocytes,Myocardium,Agents,Dogs,AceticSarcoplasmic10578015Gov't,ResearchCells,Photolysis,Kinetics,Vitro,Dose-ResponseU.S.Ethylenediamines,Non-U.S.Cardiac,Channel,Algorithms,Drug,Relationship,Bilayers,Cultured,Heart,Release
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1Activation by intracellular calcium of a potassium channel in cardiac sarcoplasmic reticulum.
A. Uehara, M. Yasukohchi, S. Ogata, и I. Imanaga. Pflugers Arch, 417 (6): 651--653 (февраля 1991)
16 лет назад , @hake
Alternative
Ion
Biological,
Lung,
Transport,
Molecular,
Animals,
Manganese,
Fura-2,
Cobalt,
Cells,
Hypoxia,
Dose-Response
Membrane
Relationship,
Motifs,
Radioisotopes,
Cricetulus,
Binding
Channel
Membranes,
Biological
Potentials,
Conserved
Extracellular
Cysteine,
Protein
Cations,
Cytoplasm,
Acids,
Asparagine,
Models,
Chimeric
Permeability,
Heart
In
Binding,
Intercellular
Cloning,
Triphosphate,
Molecular
Expression,
Competitive,
Gene
Drug,
Aspartic
Enzyme
Bilayers,
AMP-Dependent
Heart,
Sites,
Mice,
Calcium,
Electric
Animal,
Lipid
Humans,
Hamsters,
Kinases,
Junctions,
Gating,
Sequence,
Membrane,
Ventricles,
Calcium
Dogs,
Kidney
Cadmium,
Ligands,
Electrophysiology,
Vitro,
Carrier
Splicing,
Algorithms,
Cell
Biotransformation,
Fibroblasts,
Channels,
Acid,
Compounds,
Cattle,
Cyclic
Line,
Knockout,
Magnesium,
Adenosine
Lithium,
Space,
Tubules,
Acid
Aniline
Chloride,
Substitution,
Kinetics,
Proteins,
Inhibitors,
Lanthanu,
Arachidonic
Amino
Cultured,
Conductivity,
AlternativeIonBiological,Lung,Transport,Molecular,Animals,Manganese,Fura-2,Cobalt,Cells,Hypoxia,Dose-ResponseMembraneRelationship,Motifs,Radioisotopes,Cricetulus,BindingChannelMembranes,BiologicalPotentials,ConservedExtracellularCysteine,ProteinCations,Cytoplasm,Acids,Asparagine,Models,ChimericPermeability,HeartInBinding,IntercellularCloning,Triphosphate,MolecularExpression,Competitive,GeneDrug,AsparticEnzymeBilayers,AMP-DependentHeart,Sites,Mice,Calcium,ElectricAnimal,LipidHumans,Hamsters,Kinases,Junctions,Gating,Sequence,Membrane,Ventricles,CalciumDogs,KidneyCadmium,Ligands,Electrophysiology,Vitro,CarrierSplicing,Algorithms,CellBiotransformation,Fibroblasts,Channels,Acid,Compounds,Cattle,CyclicLine,Knockout,Magnesium,AdenosineLithium,Space,Tubules,AcidAnilineChloride,Substitution,Kinetics,Proteins,Inhibitors,Lanthanu,ArachidonicAminoCultured,Conductivity,
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1Computational cardiac anatomy using MRI.
M. Beg, P. Helm, E. McVeigh, M. Miller, и R. Winslow. Magn. Reson. Med., 52 (5): 1167--1174 (ноября 2004)
16 лет назад , @hake
15508155
Biology,
Reference
Support,
Imaging,
Values,
Diseases,
P.H.S.,
Male,
Resonance
Models,
Animals,
Heart
Dogs,
Gov't,
Research
Image
Magnetic
U.S.
Non-U.S.
Algorithms,
Computer-Assisted,
Diffusion
Processing,
Computational
Theoretical,
Heart,
15508155Biology,ReferenceSupport,Imaging,Values,Diseases,P.H.S.,Male,ResonanceModels,Animals,HeartDogs,Gov't,ResearchImageMagneticU.S.Non-U.S.Algorithms,Computer-Assisted,DiffusionProcessing,ComputationalTheoretical,Heart,
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1The role of luminal Ca$^2+$ in the generation of Ca$^2+$ waves in rat ventricular myocytes.
V. Lukyanenko, S. Subramanian, I. Gyorke, T. Wiesner, и S. Gyorke. J. Physiol., (июля 1999)
16 лет назад , @hake
Xanthenes,
Calcium,
Biological,
Cytosol,
Simulation,
Sprague-Dawley,
Support,
Nervous
Rats,
Lipid
Stimulants,
Compounds,
10373699
Reticulum,
P.H.S.,
ATPase,
Caffeine,
Microscopy,
Local,
Models,
Animals,
Anesthetics,
Myocardium,
Sarcoplasmic
-Transporting
Gov't,
Research
Central
Aniline
System
Electrophysiology,
U.S.
Thapsigargin,
Non-U.S.
Inhibitors,
Fluorescent
Algorithms,
Computer
Confocal,
Enzyme
{C}a$^{2+}$,
Bilayers,
Dyes,
Heart,
Xanthenes,Calcium,Biological,Cytosol,Simulation,Sprague-Dawley,Support,NervousRats,LipidStimulants,Compounds,10373699Reticulum,P.H.S.,ATPase,Caffeine,Microscopy,Local,Models,Animals,Anesthetics,Myocardium,Sarcoplasmic-TransportingGov't,ResearchCentralAnilineSystemElectrophysiology,U.S.Thapsigargin,Non-U.S.Inhibitors,FluorescentAlgorithms,ComputerConfocal,Enzyme{C}a$^{2+}$,Bilayers,Dyes,Heart,
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2Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection
Y. Zhang, и P. Rockett. GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, стр. 795--802. Washington DC, USA, ACM Press, (25-29 June 2005)
17 лет назад , @brazovayeye
genetic
detector,
design,
extractor,
algorithms,
edge
programming,
feature
Evolutionary
Optimisation,
Multiobjective
multi-objective
theory
geneticdetector,design,extractor,algorithms,edgeprogramming,featureEvolutionaryOptimisation,Multiobjectivemulti-objectivetheory
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1Discovering interesting knowledge from a science & technology database with a genetic algorithm
W. Romao, A. Freitas, и I. Gimenes. Applied Soft Computing, (2004)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
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2Inductive Genetic Programming with Decision Trees
N. Nikolaev, и V. Slavov. 9th European Conference on Machine Learning, Prague, Czech Republic, (3-26 April 1997)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1Accelerated Genetic Programming of Polynomials
N. Nikolaev, и H. Iba. Genetic Programming and Evolvable Machines, 2 (3): 231--257 (сентября 2001)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1The Tree-to-Tree Distance Problem in Inductive Genetic Programming
N. Nikolaev, и V. Slavov. Technical Report, TR 3-6-97. Computer Science, American University in Bulgaria, Bulgaria, (1997)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1A Protocol for Double-Blind Evaluation of Prognostic Models
A. Taktak, L. Antolini, M. Aung, P. Boracchi, I. Campbell, B. Damato, E. Ifeachor, N. Lama, P. Lisboa, G. Manikis и 4 other автор(ы). Proceedings of the 2nd European Workshop on the Assessment of Diagnostic and Prognostic Performance, стр. 40--49. (2006)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1Evolving Quantum Circuits using Genetic Programming
B. Rubinstein. Genetic Algorithms and Genetic Programming at Stanford 2000, Stanford Bookstore, Stanford, California, 94305-3079 USA, (июня 2000)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1Feature extraction using multi-objective genetic programming
Y. Zhang, и P. Rockett. Multi-Objective Machine Learning, том 16 из Studies in Computational Intelligence, глава 4, Springer, Invited chapter.(2006)
17 лет назад , @brazovayeye
genetic
algorithms,
Learning
programming,
Evolutionary
Optimisation,
Multi-objective
Machine
geneticalgorithms,Learningprogramming,EvolutionaryOptimisation,Multi-objectiveMachine
копироватьудалитьдобавить публикацию в буфер
1Inductive Genetic Programming with Decision Trees
N. Nikolaev, и V. Slavov. Intelligent Data Analysis, 2 (1-4): 31--44 (1998)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
2A Fast Model-Building Method for Time Series Using Genetic Programming
I. Yoshihara, T. Aoyama, и M. Yasunaga. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), стр. 537. Las Vegas, Nevada, USA, Morgan Kaufmann, (10-12 July 2000)
17 лет назад , @brazovayeye
genetic
algorithms,
programming,
Poster
geneticalgorithms,programming,Poster
копироватьудалитьдобавить публикацию в буфер
1Directing Crossover for Reduction of Bloat in GP
M. Terrio, и M. Heywood. IEEE CCECE 2003: IEEE Canadian Conference on Electrical and Computer Engineering, стр. 1111--1115. IEEE Press, (12-15 May 2002)
17 лет назад , @brazovayeye
genetic
algorithms,
Bloat
programming,
Code
geneticalgorithms,Bloatprogramming,Code
копироватьудалитьдобавить публикацию в буфер
1Solving differential equations with genetic programming
I. Tsoulos, и I. Lagaris. Genetic Programming and Evolvable Machines, 7 (1): 33--54 (марта 2006)
17 лет назад , @brazovayeye
genetic
algorithms,
evolution,
Differential
equations,
programming,
Evolutionary
modelling
Grammatical
geneticalgorithms,evolution,Differentialequations,programming,EvolutionarymodellingGrammatical
копироватьудалитьдобавить публикацию в буфер
1The Dynamics of Biased Inductive Genetic Programming
N. Nikolaev, и V. Slavov. Genetic Programming 1998: Proceedings of the Third Annual Conference, стр. 260--268. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер
1Inductive Genetic Programming with Immune Network Dynamics
N. Nikolaev, H. Iba, и V. Slavov. Advances in Genetic Programming 3, глава 15, MIT Press, Cambridge, MA, USA, (июня 1999)
17 лет назад , @brazovayeye
genetic
algorithms,
programming
geneticalgorithms,programming
копироватьудалитьдобавить публикацию в буфер

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BibSonomy

публикации (спрятать)178
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всё
только публикации
публикации на страницу
5
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1Dejittered spike-conditioned stimulus waveforms yield improved estimates of neuronal feature selectivity and spike-timing precision of sensory interneurons

1Calcium modulation of single SR potassium channel currents in heart muscle.

1Rapid activation of the cardiac ryanodine receptor by submillisecond calcium stimuli.

1Activation by intracellular calcium of a potassium channel in cardiac sarcoplasmic reticulum.

1Computational cardiac anatomy using MRI.

1The role of luminal Ca$^2+$ in the generation of Ca$^2+$ waves in rat ventricular myocytes.

2Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection

1Discovering interesting knowledge from a science & technology database with a genetic algorithm

2Inductive Genetic Programming with Decision Trees

1Accelerated Genetic Programming of Polynomials

1The Tree-to-Tree Distance Problem in Inductive Genetic Programming

1A Protocol for Double-Blind Evaluation of Prognostic Models

1Evolving Quantum Circuits using Genetic Programming

1Feature extraction using multi-objective genetic programming

1Inductive Genetic Programming with Decision Trees

2A Fast Model-Building Method for Time Series Using Genetic Programming

1Directing Crossover for Reduction of Bloat in GP

1Solving differential equations with genetic programming

1The Dynamics of Biased Inductive Genetic Programming

1Inductive Genetic Programming with Immune Network Dynamics

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публикации (спрятать)178
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