Abstract
The implementation of a silicon neuron based on an OTA(operational transconductance amplifier) with a negative resistor for neuron chip is described. The proposed time-varying silicon neuron consists of a coupled oscillator representing the cell body and a current-controlled negative resistor with an input summing junction. SPICE (simulation program with integrated circuit emphasis) simulation results showed that a neuron pulse is generated above a threshold input current of 70 nA. In addition, we performed simulations of a three-neuron chain connected by two synapses to confirm signal transmission. The proposed circuit was fabricated using a 0.5μm double-poly-CMOS (complementary metal-oxide semiconductor) technology. Measurements of the fabricated single neuron and three-neuron chain were carried out by applying an input stimulus in condition of 5V DC power supply, and the results were compared to the simulations.
Similar content being viewed by others
References
Zurada, J.M. Introduction to Artificial Neural Systems. Boston, PWS (1992).
Freeman, W.J., Yao, Y. & Burke, B. Central pattern generating and recognizing in olfactory bulb: A correlation learning rule. Neural Networks 1, 227–288 (1988).
Terman, D. & Wang, D.L. Global competition and local cooperation in a network of neural. Physica D. 81, 148–176 (1995).
Hodgkin, A.L. & Huxley, A.F. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500–544 (1952).
Moon, G., Zaghloul, M. & Newcomb, R. CMOS design of pulse coded adaptive neural processing element using neural-type cells. Proceedings of the IEEE ISCAS 5, 2224–2227 (1992).
Linares-Barranco, B., Sanchez-Sinencio, E., Rodriguez-Vaquez, A. & Huertas, J.L. CMOS analog neural network systems based on oscillatory neurons. Proceedings of the IEEE ISCAS 5, 2236–2239 (1992).
Mead, C. Analog VLSI and Neural Systems. Boston, Addison Wesley (1989).
Simoni, M.F. et al. A multiconductance silicon neuron with biologically matched dynamics. IEEE TRANS. Bio. Eng. 51, 342–354 (2004).
Farquhar, E. & Hasler, P. A bio-physically inspired silicon neuron. IEEE Trans. Circuits and Systems 52, 477–488 (2005).
Aihara, K. & Toyoda, M. Chaotic neural networks. Phys. Lett. A 144, 333–340 (1990).
Hsu, C.C., Gobovic, D., Zaghloul, M.E. & Szu, H.H. Chaotic neuron model and their VLSI circuit implementations, IEEE trans. Neural Networks 7, 1339–1350 (1996).
Horio, Y., Taniguchi, T. & Aihara, K. An asynchronous spiking chaotic neuron integrated circuit, Neurocomputing 64, 447–472 (2005).
Rasche, C. & Douglas, R. An improved silicon neuron, AICSP J. 23, 227–236 (2001).
Tavares, V.M., Principe, J.C. & Harris, J.G. A silicon olfactory bulb oscillator, Proceedings of the IEEE ISCAS 5, 390–400 (2000).
Wijekoon, J.H.B. & Dudek, P. Spiking and bursting firing patterns of a compact VLSI cortical neuron circuit, Proceedings of International Joint Conference on Neural Networks 1332–1337 (2007).
Vogelstein, U., Vogelstein, J.T. & Cauwenberghs, G. Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses, IEEE Trans. Neural Networks 18, 253–265 (2007).
Song, H.J. & Harris, J.G. A CMOS neural oscillator using negative resistance, Proceedings of the IEEE ISCAS 3, 152–155 (2003).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Heo, Y., Song, H. Circuit modeling and implementation of a biological neuron using a negative resistor for neuron chip. BioChip J 6, 17–24 (2012). https://doi.org/10.1007/s13206-012-6103-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13206-012-6103-x