Neural Computation

Robust Kernel Principal Component Analysis

Algorithms / Principal Component Analysis / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function

Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach

Data Mining / Fire History / Multidisciplinary / Information Processing / Optimization Problem / Spike train analysis / Functional Connectivity / Animals / Cluster Analysis / Synaptic Transmission / Neurons / Single Cell / Graph Cut / Spectrum / SYNAPSES / Spectral Clustering / Network Topology / Neural Computation / Large Scale / Action Potentials / Spike train analysis / Functional Connectivity / Animals / Cluster Analysis / Synaptic Transmission / Neurons / Single Cell / Graph Cut / Spectrum / SYNAPSES / Spectral Clustering / Network Topology / Neural Computation / Large Scale / Action Potentials

Bayesian Sparse Partial Least Squares

Algorithms / Electroencephalography / Multidisciplinary / Brain / Movement / Animals / Neural Computation / Bayes Theorem / Animals / Neural Computation / Bayes Theorem

Decoding a Temporal Population Code

Multidisciplinary / Visual Cortex / Humans / Cerebral Cortex / Animals / Liquid State Machine / Spatial Organization / Synaptic Transmission / Temporal Information Extraction / Neurons / Population coding / SYNAPSES / Neural Computation / Neural pathways / Action Potentials / Liquid State Machine / Spatial Organization / Synaptic Transmission / Temporal Information Extraction / Neurons / Population coding / SYNAPSES / Neural Computation / Neural pathways / Action Potentials

Bayesian Sparse Partial Least Squares

Algorithms / Electroencephalography / Multidisciplinary / Brain / Movement / Animals / Neural Computation / Bayes Theorem / Animals / Neural Computation / Bayes Theorem

Robust Kernel Principal Component Analysis

Functional Analysis / Algorithms / Principal Component Analysis / Decomposition / Neural Network / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier

Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach

Data Mining / Fire History / Multidisciplinary / Information Processing / Optimization Problem / Spike train analysis / Functional Connectivity / Animals / Cluster Analysis / Synaptic Transmission / Neurons / Single Cell / Graph Cut / Spectrum / SYNAPSES / Spectral Clustering / Network Topology / Neural Computation / Large Scale / Action Potentials / Spike train analysis / Functional Connectivity / Animals / Cluster Analysis / Synaptic Transmission / Neurons / Single Cell / Graph Cut / Spectrum / SYNAPSES / Spectral Clustering / Network Topology / Neural Computation / Large Scale / Action Potentials

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