Optimal Signal Estimation in Neuronal Models

DOI10.1162/0899766054615653zbMath1079.62112OpenAlexW2007208966WikidataQ81072540 ScholiaQ81072540MaRDI QIDQ5703545

Prescilla E. Greenwood, Petr Lansky

Publication date: 8 November 2005

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

Full work available at URL: https://doi.org/10.1162/0899766054615653

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Related Items (8)

Stimulus reference frame and neural coding precision ⋮ Effect of spontaneous activity on stimulus detection in a simple neuronal model ⋮ Optimum signal in a diffusion leaky integrate-and-fire neuronal model ⋮ Metabolic cost of neuronal information in an empirical stimulus-response model ⋮ The effect of interspike interval statistics on the information gain under the rate coding hypothesis ⋮ Likelihood Methods for Point Processes with Refractoriness ⋮ Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding ⋮ Statistical approach in search for optimal signal in simple olfactory neuronal models

Cites Work

• Rectification of correlation by a sigmoid nonlinearity
• Information processing in a neuron ensemble with the multiplicative correlation structure
• Representational Accuracy of Stochastic Neural Populations
• Predictability, Complexity, and Learning
• A single spike suffices: the simplest form of stochastic resonance in model neurons
• Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue
• Optimal Short-Term Population Coding: When Fisher Information Fails
• Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate
• The information in the marginal law of a Markov chain

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