Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Biological Cybernetics

Volumn 99, Issue 4-5, 2008, Pages 371-379

  Druckmann, Shaul ^a   Berger, Thomas K ^b   Hill, Sean ^b   Schürmann, Felix ^b   Markram, Henry ^b   Segev, Idan ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b EPFL   (Switzerland)

Author keywords

Automated fitting; Compartmental; Firing pattern; Model; Multi objective Optimization; Neuron; Parameter constraining

Indexed keywords

EXPERIMENTS; FEATURE EXTRACTION; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; SOLUTIONS; TARGETS; TREES (MATHEMATICS);

AUTOMATED FITTING; BEST APPROXIMATIONS; COMPARTMENTAL; COMPARTMENTAL MODELS; CURRENT PULSES; DEVELOPED MODELS; DISTANCE FUNCTIONS; EXPERIMENTAL DATUMS; FIRING PATTERN; ION CHANNEL CONDUCTANCES; MODEL FITTINGS; MODEL-TO-MODEL COMPARISONS; NEURON MODELS; OPTIMIZATION PROCEDURES; PARAMETER CONSTRAINING; SEARCH SPACES; SURROGATE DATUMS;

CONSTRAINED OPTIMIZATION;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; NEOCORTEX; NERVE CELL; ORGAN CULTURE TECHNIQUE; PATCH CLAMP; PHYSIOLOGY; RAT; WISTAR RAT;

ALGORITHMS; ANIMALS; MODELS, NEUROLOGICAL; NEOCORTEX; NEURONS; ORGAN CULTURE TECHNIQUES; PATCH-CLAMP TECHNIQUES; RATS; RATS, WISTAR;

EID: 56449116939     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0269-2     Document Type: Article

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