Controlled hidden Markov models for dynamically adapting patch clamp experiment to estimate nernst potential of single-ion channels

IEEE Transactions on Nanobioscience

Volumn 5, Issue 2, 2006, Pages 115-124

  Krishnamurthy, Vikram ^a,b   Yin, G George ^a,c  

^a IEEE   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c WAYNE STATE UNIVERSITY   (United States)

Author keywords

Adaptive exploration; Discrete stochastic optimization; Equilibrium potential; Hidden Markov model (HMM); Ion channel; Patch clamp experiment

Indexed keywords

ADAPTIVE EXPLORATION; DISCRETE STOCHASTIC OPTIMIZATION; EQUILIBRIUM POTENTIAL; HIDDEN MARKOV MODEL (HMM); ION CHANNEL; PATCH CLAMP EXPERIMENT;

CLAMPING DEVICES; CURRENT VOLTAGE CHARACTERISTICS; ELECTROCHEMISTRY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; POTASSIUM;

MARKOV PROCESSES;

ION CHANNEL; POTASSIUM CHANNEL;

ADAPTATION; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CELL MEMBRANE POTENTIAL; COMPUTER SIMULATION; FEEDBACK SYSTEM; METHODOLOGY; PATCH CLAMP; PHYSIOLOGY; PROBABILITY;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; ION CHANNELS; MARKOV CHAINS; MEMBRANE POTENTIALS; MODELS, BIOLOGICAL; PATCH-CLAMP TECHNIQUES; POTASSIUM CHANNELS;

EID: 33746618887     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2006.875038     Document Type: Article

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