Sequence learning attenuates cortical responses in both frontal and perceptual cortices in early infancy
Jaffe-Dax, S.; Herbolzheimer, A.; Bejjanki, V. R.; Emberson, L. L.
Show abstract
Prior work has found that the frontal lobe is involved in higher-order sequential and statistical learning in young infants. Separate lines of work have found evidence of modulation of posterior sensory cortices during and after learning tasks. How do these processes relate? Here, we build evidence the infant frontal lobe was modulated during sequential learning and ask whether posterior perceptual cortices show corresponding modulation. First, replicating and extending past work, we found evidence of frontal lobe involvement in this task. Second, consistent with our hypotheses, we found that there is a corresponding attenuation of neural responses in the posterior perceptual cortices (temporal and occipital) to predictable compared to unpredictable audiovisual sequences. This study provides convergent evidence that the frontal lobe is crucial for higher-level learning in young infants but that it likely works as part of a large, distributed network of regions to modulate infant neural responses during learning. Overall, this work challenges the view that the infant brain is not dynamic and disconnected, lacking in long-range neural connections. Instead, this paper reveals patterns of a highly dynamic and interconnected infant brain that change rapidly as a result of new, learnable experiences.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Naturalistic audio-movies reveal common spatial organization across "visual" cortices of different blind individuals 95%
- Dissociable neural information dynamics of perceptual integration and differentiation during bistable perception 94%
- Visual periodicity reveals distinct attentional signatures for face and non-face categories 94%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.