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The Neuron as a Controlled Toggle Circuit

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DOI: 10.4236/cs.2014.512032    2,739 Downloads   3,114 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Burger, J. (2014) The Neuron as a Controlled Toggle Circuit. Circuits and Systems, 5, 309-316. doi: 10.4236/cs.2014.512032.

References

[1] Hodgkin, A.L. and Huxley, A.F. (1952) A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve. The Journal of Physiology, 177, 500-544.
[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

  
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