12 citations · 25 across the 4 of their papers we have counts for
4 papers
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Wentao Huang, Kechen Zhang
Although Shannon mutual information has been widely used, its effective calculation is often difficult for many practical problems, including those in neural population coding. Asy…
Information-theoretic interpretation of tuning curves for multiple motion directions
Wentao Huang, Xin Huang, Kechen Zhang
We have developed an efficient information-maximization method for computing the optimal shapes of tuning curves of sensory neurons by optimizing the parameters of the underlying f…
An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax
Wentao Huang, Kechen Zhang
A framework is presented for unsupervised learning of representations based on infomax principle for large-scale neural populations. We use an asymptotic approximation to the Shann…
Information-Theoretic Bounds and Approximations in Neural Population Coding
Wentao Huang, Kechen Zhang
While Shannon's mutual information has widespread applications in many disciplines, for practical applications it is often difficult to calculate its value accurately for high-dime…