A parameter-space search algorithm tested on a Hodgkin-Huxley model

Biological Cybernetics

Volumn 96, Issue 6, 2007, Pages 625-634

  Reid, Michael S ^a,b   Brown, Edgar A ^a,b,c   DeWeerth, Stephen P ^a,b,c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c EMORY UNIVERSITY   (United States)

Author keywords

Conductance based Hodgkin Huxley model; Gradient descent; Neural modeling; Oscillatory neural behavior; Parameter space exploration

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; NEURONS; PARAMETER ESTIMATION;

CONDUCTANCE-BASED HODGKIN-HUXLEY MODELS; GRADIENT DESCENT; NEURAL MODELING; OSCILLATORY NEURAL BEHAVIOR; PARAMETER-SPACE EXPLORATION;

BIOTECHNOLOGY;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; FOURIER ANALYSIS; NERVE CELL; PHYSIOLOGY; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; FOURIER ANALYSIS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; TIME FACTORS;

EID: 34249742503     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-007-0156-2     Document Type: Article

References (14)

1. Butera R Jr, Rinzel J, Smith JC (1999) Models of respiratory rhythm generation in the Pre-Bötzinger complex. I. Bursting pacemaker neurons. J Neurophysiol 82(1):382-397
2. Foster W, Ungar L, Schwaber J (1993) Significance of conductances in Hodgkin-Huxley models. J Neurophysiol 70(6):2502-2518
3. Golowasch J, Goldman MS, Abbott L, Marder E (2002) Failure of averaging in the construction of a conductance-based neuron model. J Neurophysiol 87:1129-1131
4. Hill A, Hooser SV, Calbrese R (2002) Half-center oscillators underlying rhythmic movements. In: Arbib M (ed) The handbook of brain theory and neural networks. The MIT Press, pp 507-510
5. Hille B (2001) Ion channels of excitable membranes, 3rd edn. Sinauer Associates, Sunderland
6. Hodgkin A, Huxley A (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol (London) 117:500-544
7. Izhikevich EM (2000) Neural excitability, spiking and bursting. Int J Bifurcation Chaos 10(6): 1171-1266
8. Marder E, Calabrese RL (1996) Principles of rhythmic motor pattern generation. Physiol Rev 76(3):687-717
9. Mead CA (1989) Analog VLSI and neural systems. Addison-Wesley, Reading
10. Nelson M, Rinzel J (1998) The Hodgkin-Huxley model. In: Bower JM, Beeman D (eds) The book of genesis: exploring realistic neural models with the general neural simulation system, Chap 4. Springer, Heidelberg, pp 29-49
11. Oppenheim AV, Schafer RW, Buck JR ( 1999) Discrete-time signal processing, 2nd edn. Prentice Hall, Upper Saddle River
12. Prinz AA, Billimoria CP, Marder E (2003) Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90:3998-4015
13. Tsallis C, Stariolo DA (1996) Generalized simulated annealing. Physica A 233(1-2):395-406
14. Wolpert D, Macready W (1997) No free lunch theorems for optimization. IEEE Trans Evolut Comput 1:67-82