Event-based minimum-time control of oscillatory neuron models: Phase randomization, maximal spike rate increase, and desynchronization

Biological Cybernetics

Volumn 101, Issue 5-6, 2009, Pages 387-399

  Danzl, Per ^a   Hespanha, João ^a   Moehlis, Jeff ^a  

^a University of California   (United States)

Author keywords

Hodgkin Huxley models; Isochrons; Optimal control; Oscillatory neurons; Phase randomization

Indexed keywords

ASYMPTOTIC PHASE; BACKGROUND NOISE; CONTROL OBJECTIVES; CONTROL SCHEMES; CONTROL SIGNAL; CONTROL SYNTHESIS; COUPLED NEURONS; DESYNCHRONIZATION; EVENT-BASED; FEEDBACK CONTROL METHODS; HAMILTON-JACOBI-BELLMAN; HODGKIN-HUXLEY FORMALISM; HODGKIN-HUXLEY MODELS; ISOCHRONS; MINIMUM TIME; NEURON MODEL; OPTIMAL CONTROL; OPTIMAL CONTROLS; POPULATION LEVELS; RATE INCREASE; SPIKING NEURON MODELS; STIMULUS SIGNALS;

FEEDBACK CONTROL; LEARNING ALGORITHMS; NEURONS; OPTIMIZATION;

FEEDBACK;

ACTION POTENTIAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; FEEDBACK SYSTEM; MATHEMATICS; NERVE CELL; NERVE CELL NETWORK; PERIODICITY; PHYSIOLOGY;

ACTION POTENTIALS; COMPUTER SIMULATION; FEEDBACK; MATHEMATICS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; PERIODICITY;

EID: 72149090113     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-009-0344-3     Document Type: Article

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