34 citations · 62 across the 10 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.LG2016★ 5 cited
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…
cs.IT2016★ 12 cited
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…
q-bio.NC2016★ 2 cited
Adaptive stimulus design for dynamic recurrent neural network models
R. Ozgur Doruk, Kechen Zhang
We present a theoretical application of an optimal experiment design (OED) methodology to the development of mathematical models to describe the stimulus-response relationship of s…