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A Logic Gate Model based on Neuronal Molecular Communication Engineering

Authors :
Adonias, Geoflly L
Yastrebova, Anastasia
Barros, Michael Taynnan
Balasubramaniam, Sasitharan
Koucheryavy, Yevgeni
Publication Year :
2019

Abstract

The field of Neuroengineering aims to investigate ways to proposed synthetic and controllable Boolean computing inside the brain using neuronal cells based on the existing neuronal computation abilities of the Brain. In this work, we propose the design of AND and OR logic gates using a multicellular Boolean logic operation by engineering the molecular communications of neurons and we evaluate their performance when passing data along as isolated units. The results show higher accuracy values of gate operation for mid-level inter-spike intervals when stimulated with spike trains revealing the role of the frequency of firing and how this impacts on neuronal logic gating

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..d8e76c6d7f42a0fd60288dee085d9452