Mladen Veletić
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.
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Digital Library
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- Mladen Veletić, Pål Anders Floor, Youssef Chahibi, and Ilangko Balasingham. 2016. On the Upper Bound of the Information Capacity in Neuronal Synapses. IEEE Transactions on Communications 64, 12 (December 2016), 5025--5036.Google ScholarCross Ref
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Index Terms
- Capacity estimation in MIMO synaptic channels
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