Enhancement of Information Transmission Efficiency by Synaptic Failures

DOI10.1162/089976604773717568zbMath1054.92010OpenAlexW2138775517WikidataQ80058514 ScholiaQ80058514MaRDI QIDQ4832463

Mark S. Goldman

Publication date: 4 January 2005

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976604773717568

zbMATH Keywords

renewal processespoint process spike trains

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (10)

Stochastic resonance in Hodgkin-Huxley neuron induced by unreliable synaptic transmission ⋮ The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability ⋮ Vibrational resonance in feedforward neuronal network with unreliable synapses ⋮ Information Maximization Explains the Sparseness of Presynaptic Neural Response ⋮ Information Rate Analysis of a Synaptic Release Site Using a Two-State Model of Short-Term Depression ⋮ Quantifying Neurotransmission Reliability Through Metrics-Based Information Analysis ⋮ How Synaptic Release Probability Shapes Neuronal Transmission: Information-Theoretic Analysis in a Cerebellar Granule Cell ⋮ Unnamed Item ⋮ Inverse stochastic resonance induced by synaptic background activity with unreliable synapses ⋮ Filtering properties of Hodgkin-Huxley neuron on different time-scale signals

Cites Work

• Information transmission by stochastic synapses with short-term depression: neural coding and optimization
• Metabolically Efficient Information Processing
• Computing the Optimally Fitted Spike Train for a Synapse
• Energy-Efficient Coding with Discrete Stochastic Events
• Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis

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