Learning exact patterns of quasi-synchronization among spiking neurons from data on multi-unit recordings

Keyphrases

• Spiking Neurons 100%
• Single-unit Recording 100%
• Bayesian Approach 100%
• Interconnection Structure 100%
• Quasi-synchronization 100%
• High-order 50%
• Behaving 50%
• Hebrew University 50%
• Synthetic Data 50%
• Medical School 50%
• Posterior Probability 50%
• Frequentist Methods 50%
• Decomposable 50%
• Substructure Method 50%
• Pair Correlation 50%
• Rhesus Monkey 50%
• Spatio-temporal Correlation 50%
• Groups of Neurons 50%
• Frequentist 50%
• Correlation Detection 50%
• Neural Connectivity 50%
• Log-linear Model 50%
• Laplace Method 50%
• Markov Chain Monte Carlo Model Composition 50%
• Means of Measurement 50%

Mathematics

• Bayesian Approach 100%
• Spiking Neuron 100%
• Approximates 50%
• Probability Theory 50%
• Experimental Data 50%
• Synthetic Data 50%
• Markov Chain Monte Carlo 50%
• Frequentist 50%
• Log-Linear Model 50%
• Frequentist Method 50%
• Temporal Correlation 50%
• Laplace Method 50%
• Medical School 50%
• Monte Carlo Method 50%