Statistical measures on neural features plus AI Expansion
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Understanding brain information processing relies on statistical measures to decode neural activity patterns from fMRI, EEG, and single-unit recordings. Quantifying relationships between neural representations reveals similarities between brain states and stimuli. Statistical measures assess how the brain distinguishes concepts and reflects cognitive processes like attention. Advanced models handle neural data's high dimensionality and noise. Combining these statistical tools with neuroimaging techniques helps unlock the brain's code and understand the neural basis of cognition.