MEMRISTIVNA IMPLEMENTACIJA PRIRODNIH NEURONA I SINAPSI
Ključne reči:
neuromorfno računarstvo, prirodni neuron, sinapsa, STDP pravilo učenja, memristor
Apstrakt
U ovom radu je opisana softverska implementacija Moris-Lekarovog memristivnog modela prirodnog neurona i Zamarenovog memristivnog modela sinapse. U Matlab-u i Simulink-u su implementirani matematički modeli memristora koji su iskorišćeni za simulaciju kalcijumovih i kalijumovih kanala Moris-Lekarovog modela neurona. Na kraju, pokazano je kako se može implementirati STDP pravilo učenja na Zamarenovom memristivnom modelu sinapse.
Reference
[1] M. Johnson and S. Chartier, “Spike neural models (part I): The Hodgkin-Huxley model,” The Quantitative Methods for Psychology, vol. 13, no. 2, pp. 105-119.
[2] L. Chua, “Memristor - The Missing Circuit Element,” IEEE Transactions on Circuit Theory, vol. 18, 5 September 1971.
[3] D. B. Strukov, G. S. Snider, D. R. Stewart and R. S. Williams, “The missing memristor found,” Nature, vol. 453, pp. 80-83, 1 May 2008.
[4] O. Krestinskaya, A. P. James and L. O. Chua, “Neuromemristive circuits for edge computing: A review,” IEEE transactions on neural networks and learning systems, vol. 31, no. 1, pp. 4-23, 2019.
[5] M. Zidan, J. Strachan and W. Lu, “The future of electronics based on memristive systems,” Nature Electronics, vol. 1, p. 22–29, 2018.
[6] C. Zamarreño-Ramos, L. A. Camuñas-Mesa, J. A. Pérez-Carrasco, T. Masquelier, T. Serrano-Gotarredona and B. Linares-Barranco, “On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex,” Frontiers in Neuroscience, vol. 5, 17 March 2011.
[7] C. Morris and H. Lecar, “Voltage oscillations in the barnacle giant muscle fiber,” Biophysical Journal, vol. 35, no. 1, pp. 193-213, 1 July 1982.
[8] L. Chua, “Everything You Wish To Know About Memristors But Are Afraid To Ask,” Radioengineering, vol. 24, no. 2, pp. 319-368, 2 June 2015.
[9] J. Sjöström and W. Gerstner, “Spike-timing dependent plasticity,” Scholarpedia, vol. 5, 2010.
[10] M. P. Sah, H. Kim, A. Eroglu and L. Chua, “Memristive Model of the Barnacle Giant Muscle Fibers,” International Journal of Bifurcation and Chaos, vol. 26, no. 1, p. 1630001, 2016.
[11] W. Gerstner and W. M. Kistler, Spiking Neuron Models, Cambridge University Press, 2002.
[12] M. M. Adnan, S. Sayyaparaju, G. S. Rose, C. D. Schuman, B. W. Ku and S. K. Lim, “A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems,” in 2018 31st IEEE International System-on-Chip Conference (SOCC), 2018 .
[13] M. P. Sah, H. Kim and L. O. Chua, “Brains Are Made of Memristors,” IEEE Circuits and Systems Magazine, vol. 14, no. 1, pp. 12-36, 2014.
[14] A. L. Hodgkin and A. F. Huxley, “A quantitative description of membrane current and its application to conduction and excitation in nerve,” The Journal of physiology, vol. 117, no. 4, pp. 500-544, 28 August 1952.
[15] L. Chua, V. Sbitnev and H. Kim, “Hodkin-Huxley Axon Is Made Of Memristors,” International Journal of Bifurcation and Chaos, vol. 22, no. 3, pp. 123011--, 2012.
[16] S. Kvatinsky, M. Ramadan, E. G. Friedman and A. Kolodny, “VTEAM - A General Model for Voltage Controlled Memristors,” IEEE Transactions on Circuits and Systems, vol. 62, no. 8, 2015.
[2] L. Chua, “Memristor - The Missing Circuit Element,” IEEE Transactions on Circuit Theory, vol. 18, 5 September 1971.
[3] D. B. Strukov, G. S. Snider, D. R. Stewart and R. S. Williams, “The missing memristor found,” Nature, vol. 453, pp. 80-83, 1 May 2008.
[4] O. Krestinskaya, A. P. James and L. O. Chua, “Neuromemristive circuits for edge computing: A review,” IEEE transactions on neural networks and learning systems, vol. 31, no. 1, pp. 4-23, 2019.
[5] M. Zidan, J. Strachan and W. Lu, “The future of electronics based on memristive systems,” Nature Electronics, vol. 1, p. 22–29, 2018.
[6] C. Zamarreño-Ramos, L. A. Camuñas-Mesa, J. A. Pérez-Carrasco, T. Masquelier, T. Serrano-Gotarredona and B. Linares-Barranco, “On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex,” Frontiers in Neuroscience, vol. 5, 17 March 2011.
[7] C. Morris and H. Lecar, “Voltage oscillations in the barnacle giant muscle fiber,” Biophysical Journal, vol. 35, no. 1, pp. 193-213, 1 July 1982.
[8] L. Chua, “Everything You Wish To Know About Memristors But Are Afraid To Ask,” Radioengineering, vol. 24, no. 2, pp. 319-368, 2 June 2015.
[9] J. Sjöström and W. Gerstner, “Spike-timing dependent plasticity,” Scholarpedia, vol. 5, 2010.
[10] M. P. Sah, H. Kim, A. Eroglu and L. Chua, “Memristive Model of the Barnacle Giant Muscle Fibers,” International Journal of Bifurcation and Chaos, vol. 26, no. 1, p. 1630001, 2016.
[11] W. Gerstner and W. M. Kistler, Spiking Neuron Models, Cambridge University Press, 2002.
[12] M. M. Adnan, S. Sayyaparaju, G. S. Rose, C. D. Schuman, B. W. Ku and S. K. Lim, “A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems,” in 2018 31st IEEE International System-on-Chip Conference (SOCC), 2018 .
[13] M. P. Sah, H. Kim and L. O. Chua, “Brains Are Made of Memristors,” IEEE Circuits and Systems Magazine, vol. 14, no. 1, pp. 12-36, 2014.
[14] A. L. Hodgkin and A. F. Huxley, “A quantitative description of membrane current and its application to conduction and excitation in nerve,” The Journal of physiology, vol. 117, no. 4, pp. 500-544, 28 August 1952.
[15] L. Chua, V. Sbitnev and H. Kim, “Hodkin-Huxley Axon Is Made Of Memristors,” International Journal of Bifurcation and Chaos, vol. 22, no. 3, pp. 123011--, 2012.
[16] S. Kvatinsky, M. Ramadan, E. G. Friedman and A. Kolodny, “VTEAM - A General Model for Voltage Controlled Memristors,” IEEE Transactions on Circuits and Systems, vol. 62, no. 8, 2015.
Objavljeno
2022-01-29
Sekcija
Elektrotehničko i računarsko inženjerstvo
