Digital equivalence of biological neural AND-gate, OR-gate and MIN-Gate

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Article discussing the digital equivalence of biological neural AND-gate, OR-gate and MIN-gate.

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7 p.

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Tam, Nicoladie D. September 2013.

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Article discussing the digital equivalence of biological neural AND-gate, OR-gate and MIN-gate.

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7 p.

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Abstract: This paper provides the mathematical derivation of the equivalent logic gates for spike code processing in neurons. It derives the computational equivalence between the binary code and the spike code to illustrate the correspondence between binary and spike code logic operations theoretically. It identifies the similarities and differences between biological neural processing and binary logic gate processing. Using neural spike code for processing, a neuron can be generalized to process the equivalent of a multi-input OR-gate and a multi-input AND-gate by requiring a minimal number of m input spikes (from a set of all n inputs) before firing an output spike. A MINм-gate is introduced as the equivalent of the generalized multi-input ANDм-gate and multi-input ORм-gate that require a minimum of m inputs to fire an output spike. The MINм-gate is an equivalent of a statistical voting system that processes input spikes with a threshold of a minimum of m ≥ n/2 input spikes for a majority-rule system.

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  • International Journal of Computer and Information Technology, 2013, California: International Journal of Computer and Information Technology, pp. 822-827

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  • Publication Title: International Journal of Computer and Information Technology
  • Volume: 2
  • Issue: 5
  • Page Start: 822
  • Page End: 827
  • Pages: 7
  • Peer Reviewed: Yes

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  • September 2013

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  • July 9, 2015, 6:19 a.m.

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  • July 13, 2015, 2:28 p.m.

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Tam, Nicoladie D. Digital equivalence of biological neural AND-gate, OR-gate and MIN-Gate, article, September 2013; [California]. (digital.library.unt.edu/ark:/67531/metadc674074/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.