Approximations of Shannon mutual information for discrete variables with applications to neural population coding

Mathematics

• Mutual Information 100%
• Discrete Variables 99%
• Coding 82%
• Approximation 41%
• Fisher Information 39%
• Asymptotic Formula 30%
• Kullback-Leibler Divergence 20%
• Continuous Variables 18%
• Information Theory 18%
• High Accuracy 17%
• Divergence 14%
• Numerical Simulation 12%
• Metric 10%
• Context 10%
• Derivative 10%
• Performance 9%

Physics & Astronomy

• coding 76%
• approximation 43%
• Fisher information 31%
• divergence 20%
• information theory 14%
• stimuli 11%
• performance 5%
• simulation 4%

Engineering & Materials Science

• Information theory 47%
• Derivatives 34%
• Computer simulation 22%