Engineering calcium signaling of astrocytes for neural–molecular computing logic gates

Abstract This paper proposes the use of astrocytes to realize Boolean logic gates, through manipulation threshold $$\hbox {Ca}^{2+}$$ Ca 2 + ion flows between cells based on input signals. Through wet-lab experiments that engineer with pcDNA3.1-hGPR17 genes as well chemical compounds, we show both AND and OR gates can be implemented by controlling signals flow population. A reinforced learning platform is also presented in optimize activated level time slot $$T_b$$ T b into gate. design caters for any size connectivity cell population, taking consideration delay noise produced from signalling cells. To validate effectiveness platform, a simulator was used simulate astrocyte The results simulation an optimum value required achieve up 90% accuracy gates. Our method basis future Neural–Molecular Computing chips, constructed engineered cells, which form new generation brain implants.