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Concurrent Analysis of Neural Activity at Multiple Scales Using Mixed Vine Copulas
Arno Onken
, Stefano Panzeri
School of Informatics
Institute for Adaptive and Neural Computation
Data Science and Artificial Intelligence
Research output
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peer-review
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Dive into the research topics of 'Concurrent Analysis of Neural Activity at Multiple Scales Using Mixed Vine Copulas'. Together they form a unique fingerprint.
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Computer Science
Neural Activity
100%
Models
100%
Statistics
25%
Mutual Information
25%
Monte Carlo Integration
12%
Entropy
12%
Multivariate Data
12%
Full Advantage
12%
Networks
12%
Artificial Data
12%
Complexity
12%
Mathematics
Vine Copulas
100%
Spike Count
25%
Local Field Potential
25%
Statistics
25%
Mutual Information
25%
Number
12%
Simulator
12%
Model Fit
12%
Multivariate Data
12%
Measures
12%
Statistical Method
12%
Decoder
12%
Monte Carlo
12%
Parametric
12%
Inference
12%
Network Model
12%
Neuroscience
Mutual Information
25%
Local Field Potential
25%
Dependent Personality Disorder
25%
Brain
25%