Name
Title | ||
|---|---|---|
The Channel Capacity of Channelrhodopsin and Other Intensity-Driven Signal Transduction Receptors |
Abstract | ||
|---|---|---|
Biological systems transduce signals from their surroundings through a myriad of pathways. In this paper, we describe signal transduction as a communication system: the signal transduction receptor acts as the receiver in this system, and can be modeled as a finite-state Markov chain with transition rates governed by the input signal. Using this general model, we give the mutual information under ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMBMC.2019.2895790 | IEEE Transactions on Molecular, Biological and Multi-Scale Communications |
Keywords | Field | DocType |
Ions,Mutual information,Receptor (biochemistry),Markov processes,Mathematical model,Biological system modeling | Mathematical optimization,Markov process,Biological system,Computer science,Markov chain,Mutual information,Independent and identically distributed random variables,Nicotinic acetylcholine receptor,Signal transduction,Discrete time and continuous time,Channel capacity | Journal |
Volume | Issue | Citations |
4 | 1 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew W. Eckford | 1 | 444 | 44.21 |
| Peter J. Thomas | 2 | 133 | 41.24 |