Automated neuron model optimization techniques: A review

Biological Cybernetics

Volumn 99, Issue 4-5, 2008, Pages 241-251

  Van Geit, W ^a,b   De Schutter, E ^a,b   Achard, P ^c  

^a OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY   (Japan)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c BRANDEIS UNIVERSITY   (United States)

Author keywords

Automated tuning; Error function; Fitness function; Model; Neuron; Optimization; Parameters

Indexed keywords

ALGORITHMS; ANNEALING; COMPUTATIONAL COMPLEXITY; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; GENETIC ALGORITHMS; HEALTH; KETONES; LEARNING ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; TUNING;

AUTOMATED TUNING; COMPUTER POWERS; DIFFERENTIAL EVOLUTIONS; ERROR FUNCTION; ERROR FUNCTIONS; ESSENTIAL COMPONENTS; EVOLUTION STRATEGIES; FITNESS FUNCTION; FITNESS FUNCTIONS; FORCE METHODS; MODEL PARAMETERS; NEURON MODELS; OBJECTIVE FUNCTIONS; OPTIMIZATION ALGORITHMS; PARAMETER SETS; PARAMETER SPACES; PARAMETERS; SEARCH ALGORITHMS; SWARM OPTIMIZATIONS;

SIMULATED ANNEALING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; NERVE CELL; REVIEW;

ALGORITHMS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS;

EID: 56449130457     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0257-6     Document Type: Review

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