Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning DOI Creative Commons
Teodóra Vékony, Ádám Takács, Felipe Pedraza

и другие.

Cerebral Cortex, Год журнала: 2023, Номер 33(12), С. 7783 - 7796

Опубликована: Март 21, 2023

Abstract Probabilistic sequence learning supports the development of skills and enables predictive processing. It remains contentious whether visuomotor is driven by representation visual (perceptual coding) or response (motor coding). Neurotypical adults performed a task. Learning occurred incidentally as it was evidenced faster responses to high-probability than low-probability targets. To uncover neurophysiology process, we conducted both univariate analyses multivariate pattern (MVPAs) on temporally decomposed EEG signal. Univariate showed that modulated amplitudes motor code signal but not in perceptual perceptual-motor signals. However, MVPA revealed all 3 codes contribute neurophysiological learnt probabilities. Source localization involvement wider network frontal parietal activations were distinctive across coding levels. These findings suggest sequential regularities rather neither–nor distinction. Moreover, modality-specific encoding worked concert with modality-independent representations, which suggests probabilistic nonunitary encompasses set principles.

Язык: Английский

Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning DOI Creative Commons
Teodóra Vékony, Ádám Takács, Felipe Pedraza

и другие.

Cerebral Cortex, Год журнала: 2023, Номер 33(12), С. 7783 - 7796

Опубликована: Март 21, 2023

Abstract Probabilistic sequence learning supports the development of skills and enables predictive processing. It remains contentious whether visuomotor is driven by representation visual (perceptual coding) or response (motor coding). Neurotypical adults performed a task. Learning occurred incidentally as it was evidenced faster responses to high-probability than low-probability targets. To uncover neurophysiology process, we conducted both univariate analyses multivariate pattern (MVPAs) on temporally decomposed EEG signal. Univariate showed that modulated amplitudes motor code signal but not in perceptual perceptual-motor signals. However, MVPA revealed all 3 codes contribute neurophysiological learnt probabilities. Source localization involvement wider network frontal parietal activations were distinctive across coding levels. These findings suggest sequential regularities rather neither–nor distinction. Moreover, modality-specific encoding worked concert with modality-independent representations, which suggests probabilistic nonunitary encompasses set principles.

Язык: Английский

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