Active learning of neural response functions with Gaussian processes

Keyphrases

• Nonlinearity 100%
• Neural Response 100%
• Gaussian Process 100%
• Active Learning 100%
• Response Function 100%
• Nonlinear Function 100%
• Histogram 50%
• Data Required 50%
• Poisson 50%
• Simulation Experiment 50%
• Highly Nonlinear 50%
• Poisson Model 50%
• Spike Rate 50%
• Gaussian Process Prior 50%
• Macaque 50%
• Neural Data 50%
• Feature Space 50%
• Gaussian Approximation 50%
• Combination Rule 50%
• Nonlinear Combination 50%
• Parametric Form 50%
• Uncertainty Sampling 50%
• Encoding Model 50%
• Bayesian Estimation 50%
• Hyperparameters 50%
• Information Theoretic Criteria 50%
• Cubic Spline 50%
• Optimal Experimental Design 50%
• Stimuli-sensitive 50%
• Nonlinear Response Function 50%
• Computational Tractability 50%
• Low-dimensional Feature Space 50%
• Cone Contrast 50%
• Linear/non-linear 50%
• Simple Cell 50%
• 3D Space 50%

Mathematics

• Gaussian Process 100%
• Response Function 100%
• Nonlinear Function 66%
• Nonlinearity 66%
• Gaussian Distribution 33%
• Experimental Data 33%
• Experimental Design 33%
• Parametric Form 33%
• Poisson Model 33%
• Nonlinear Response 33%
• Bayesian Estimate 33%
• Simulated Experiment 33%
• Feature Space 33%
• Dimensional Feature Space 33%
• Simple Cell 33%
• Optimal Design 33%
• Cubic Spline 33%
• Histogram 33%