The 10 references in paper A. Chernyshev S., S. Chernyshev L., А. Чернышев С., С. Чернышев Л. (2016) “Моделирование нейронной сети с учетом биологических свойств нейрона // Neuron Network Simulation Taking into Consideration the Biological Properties of Neuron” / spz:neicon:technomag:y:2014:i:1:p:510-520

1
Burkitt A.N. A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input // Biological Cybernetics. 2006. Vol. 95, no. 1. P. 1-19. DOI: 10.1007/s00422-006-00686
(check this in PDF content)
2
Hodgkin A., Huxley A. A quantitative description of membrane current and its application to conduction and excitation in nerve // J. Physiol. 1952. Vol. 117. P. 500-544.
(check this in PDF content)
3
Hindmarsh J.L., Rose R.M. A model of neuronal bursting using three coupled first order differential equations // Proceedings of The Royal Society of London. Series B, Biological Sciences. 1984. Vol. 221, no. 1222. P. 87-102. DOI: 10.1098/rspb.1984.0024
(check this in PDF content)
4
Rall W. Core conductor theory and cable properties of neurons // In: Pollock D.M., ed. Comprehensive Physiology. Wiley, 2011. P. 39-97. DOI: 10.1002/cphy.cp010103
(check this in PDF content)
5
Хьюбел Д., Стивенс Ч., Кэнделл Э. и др. Мозг: сб. статей: пер. с англ. / Под ред. П.В. Симонова. М.: Мир, 1982. 194 с.
(check this in PDF content)
6
Маккаллок У.С., Питс У. Логическое исчисление идей, относящихся к нервной активности // Автоматы: сб.: пер. с англ. / под ред. К.Э. Шеннона, Дж. Маккарти. М.: Изд-во иностранной лит-ры, 1956. С. 362-384.
(check this in PDF content)
7
Hopfield J.J. Neural network and physical system with emergent collective computation abilities // Proceedings of the National Academy of Sciences of the United States of America. 1982. Vol. 79, no. 8. P. 2554-2558. DOI: 10.1073/pnas.79.8.2554
(check this in PDF content)
8
Rubinov M., Sporns O., Thivierge J.-P., Breakspear M. Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons // PLoS Computational Biology. 2011. Vol. 7, no. 6. Art. no. e1002038. DOI: 10.1371/journal.pcbi.1002038
(check this in PDF content)
9
Smith L.S. Implementing Neural Models in Silicon. Section 5.4: Implementing spiking neurons // In: Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies / A.Y. Zomaya, ed. Springer US, 2006. P. 459.
(check this in PDF content)
10
Лазоренко О.В., Черногор Л.Ф. Сверхширокополосные сигналы и физические процессы. 1. Основные понятия, модели и методы описания // Радиофизика и радиоастрономия. 2008. Т. 13, No. 2. С. 166-195. Science and Education of the Bauman MSTU,
(check this in PDF content)