Global parameter estimation of an Hodgkin-Huxley formalism using membrane voltage recordings: Application to neuro-mimetic analog integrated circuits

Neurocomputing

Volumn 81, Issue , 2012, Pages 75-85

  Buhry, Laure ^a,b   Pace, Michele ^a   Saighi, Sylvain ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

Global optimization; Hodgkin Huxley formalism; Membrane voltage; Parameter estimation; Variant of the differential evolution (DE) algorithm

Indexed keywords

ANALOG INTEGRATED CIRCUIT; AUTOMATED TUNING; BIOLOGICAL NEURON; COMPLEX TASK; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; FAST SPIKING; HODGKIN-HUXLEY FORMALISM; INJECTED CURRENT; LOCAL MINIMUMS; MEMBRANE VOLTAGE; MODEL PARAMETERS; NEURON MODEL; OPTIMIZATION ALGORITHMS; SPIKE TIMING; WAVE FORMS;

ANALOG CIRCUITS; BIOLOGY; ESTIMATION; EVOLUTIONARY ALGORITHMS; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; LINEAR INTEGRATED CIRCUITS; MEMBRANES; OPTIMIZATION; TIMING CIRCUITS; TUNING;

PARAMETER ESTIMATION;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DIFFERENTIAL EVOLUTION ALGORITHM; HODGKIN HUXLEY EQUATION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL MEMBRANE POTENTIAL; NERVE CONDUCTION; PRIORITY JOURNAL; WAVEFORM;

EID: 84856352635     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.11.002     Document Type: Article

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