The value of Shannon's mutual information is commonly used to describe the total amount of
information that the neural code transfers between the ensemble of stimuli and the …

Although the Shannon mutual information can be used to reveal general features of the
neural code, it cannot directly address which symbols of the code are significant. Further …

Information theory provides a powerful framework to analyse the representation of sensory
stimuli in neural population activity. However, estimating the quantities involved such as …

Any particular stimulus intensity, as a physical quantity, can be equivalently described in
different unit systems. Researchers automatically expect the methodology and the inference …

The precision of the neural code is commonly investigated using two families of statistical
measures: Shannon mutual information and derived quantities when investigating very …

Information theory is a practical and theoretical framework developed for the study of
communication over noisy channels. Its probabilistic basis and capacity to relate statistical …

Information theory is a practical and theoretical framework developed for the study of
communication over noisy channels. Its probabilistic basis and capacity to relate statistical …

The role of correlations in the activity of neural populations responding to a set of stimuli can
be studied within an information theory framework. Regardless of whether one approaches …

Fisher information is generally believed to represent a lower bound on mutual information
(Brunel & Nadal,), a result that is frequently used in the assessment of neural coding …

Information theory–in particular mutual information–has been widely used to investigate
neural processing in various brain areas. Shannon mutual information quantifies how much …