TY - GEN
T1 - Probabilistic gate matrix for axon-inspired communication
AU - Arotaritei, Dragos
AU - Turnea, Marius
AU - Beiu, Valeriu
AU - Rotariu, Mariana
PY - 2013
Y1 - 2013
N2 - Communication on an axon could be modeled by an array of logic gates, where each logic gate emulates a voltage-gated ion channel. In this paper the probability of correct communication is estimated using such a model and an associated reliability analysis for logic gates/circuits known as probabilistic gate matrix (PGM). Such an approach can easily be extended to other types of (regular) arrays of logic gates, and to more complex connection patterns, including even feedbacks (that could model the time dependence of neighboring voltage-gated ion channels on any given voltage-input ion channel).
AB - Communication on an axon could be modeled by an array of logic gates, where each logic gate emulates a voltage-gated ion channel. In this paper the probability of correct communication is estimated using such a model and an associated reliability analysis for logic gates/circuits known as probabilistic gate matrix (PGM). Such an approach can easily be extended to other types of (regular) arrays of logic gates, and to more complex connection patterns, including even feedbacks (that could model the time dependence of neighboring voltage-gated ion channels on any given voltage-input ion channel).
KW - Probabilistic gate matrix (PGM)
KW - axon
KW - ion channel
KW - logic circuits
KW - reliability
UR - http://www.scopus.com/inward/record.url?scp=84893718722&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893718722&partnerID=8YFLogxK
U2 - 10.1109/EHB.2013.6707255
DO - 10.1109/EHB.2013.6707255
M3 - Conference contribution
AN - SCOPUS:84893718722
SN - 9781479923731
T3 - 2013 E-Health and Bioengineering Conference, EHB 2013
BT - 2013 E-Health and Bioengineering Conference, EHB 2013
T2 - 4th IEEE International Conference on E-Health and Bioengineering, EHB 2013
Y2 - 21 November 2013 through 23 November 2013
ER -