The Neuron as a Controlled Toggle Circuit

John Robert Burger

ECE Department, California State University, Northridge, USA.

DOI: 10.4236/cs.2014.512032                

Abstract

This paper considers a model of a recursive neuron whose circuit the author finds interesting, not because of its financial possibility, but because of its surprising electrical behavior. Below, a recursive neuron is modeled with excitatory and inhibitory triggering, and simulated using Win Spice. This model is shown to be capable of controlled toggling, and so promises energy-efficient, massively parallel computing.

Keywords

Brain Circuits, Neural Circuits, Toggle Circuits, Recursive Neurons

Conflicts of Interest

The authors declare no conflicts of interest.

References

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[2]	Eckert, J.P. (1953) A Survey of Digital Computer Memory Systems. Proc. IRE, October.
[3]	Burger, J.R. (2013) Brain Theory from A Circuits and Systems Perspective—How Electrical Science Explains Neuro-Circuits, Neuro-Systems, and Qubits. Springer, New York, Appendix A. http://dx.doi.org/10.1007/978-1-4614-6412-9
[4]	Burger, J.R. (2009) Human Memory Modeled with Standard Analog and Digital Circuits: Inspiration for Man-Made Computers. John Wiley & Sons, Hoboken. http://dx.doi.org/10.1002/9780470464250
[5]	Burger, J.R. (2014) The Synthesis of a Neural System to Explain Consciousness: Neural Circuits, Neural Systems and Wakefulness for Non-Specialists. Luminare Press, Eugene. http://www.amazon.com/Synthesis-Neural-System-Explain-Consciousness/dp/1937303284