ArticleEntropy (Basel, Switzerland)2021
Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 13 citations in OpenAlex.
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- A Fast and Efficient Ensemble Transfer Entropy and Applications in Neural Signals.Entropy (Basel, Switzerland) · 2022Article
- Free Space Optics Transmission Performance Enhancement for Sustaining 5G High Capacity Data Services.Micromachines · 2022Article
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1 author at 1 institution in 1 country.
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Abstract
In the nervous system, information is conveyed by sequence of action potentials, called spikes-trains. As MacKay and McCulloch suggested, spike-trains can be represented as bits sequences coming from Information Sources (IS). Previously, we studied relations between spikes' Information Transmission Rates (ITR) and their correlations, and frequencies. Now, I concentrate on the problem of how spikes fluctuations affect ITR. The IS are typically modeled as stationary stochastic processes, which I consider here as two-state Markov processes. As a spike-trains' fluctuation measure, I assume the standard deviation σ, which measures the average fluctuation of spikes around the average spike frequency. I found that the character of ITR and signal fluctuations relation strongly depends on the parameter s being a sum of transitions probabilities from a no spike state to spike state. The estimate of the Information Transmission Rate was found by expressions depending on the values of signal fluctuations and parameter
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