Halai, A. D., Woollams, A. M., & Lambon Ralph, M. A. (2017). Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics. Cortex.
Citación estilo ChicagoHalai, Ajay D., Anna M. Woollams, and Matthew A. Lambon Ralph. "Using Principal Component Analysis to Capture Individual Differences Within a Unified Neuropsychological Model of Chronic Post-stroke Aphasia: Revealing the Unique Neural Correlates of Speech Fluency, Phonology and Semantics." Cortex 2017.
Cita MLAHalai, Ajay D., Anna M. Woollams, and Matthew A. Lambon Ralph. "Using Principal Component Analysis to Capture Individual Differences Within a Unified Neuropsychological Model of Chronic Post-stroke Aphasia: Revealing the Unique Neural Correlates of Speech Fluency, Phonology and Semantics." Cortex 2017.