Name
Abstract | ||
|---|---|---|
Designing novel artificial intra-body networks and/or synthetic neurons, which interact with operating cells and compensate for malfunctioning cells, requires understanding and quantifying the information transfer in neural networks. However, the latter is not studied enough in the existing literature. Here we quantify the information rate transmitted between two neurons by analyzing Poisson Multiple-Input Multiple-Output (MIMO) synaptic channels. The results provided are intuitive and prove that multiple synapses working in cooperation improve the reliability of the neuron-to-neuron communication channel. The results serve as a progressive step in the evaluation of the performance of biological neural networks and the development of artificial cells and networks. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3233188.3233195 | NANOCOM |
Keywords | Field | DocType |
Information Capacity,MIMO system,Poisson Channel,Synthetic Biology | Information transfer,Code rate,Computer science,Poisson channel,MIMO,Communication channel,Electronic engineering,Poisson distribution,Artificial neural network,Synthetic biology | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| mladen veletic | 1 | 23 | 5.35 |
| Ilangko Balasingham | 2 | 613 | 73.50 |