TEX2022: Bringing together Predictive Processes and Statistical Learning

Session

Reading

S3

Jul 20, 2022, 2:30 PM

Aula Magna (SISSA - International School for Advanced Studies)

27. Humans and baboons, but not pigeons, use letter-sequence information during orthographic processing

Benjamin Gagl (University of Cologne)

7/20/22, 2:30 PM

Predictive Processes and Statistical Learning

Talk

Animal studies investigating orthographic processing have shown that not only humans but also baboons and pigeons can successfully perform word/non-word decisions, despite their lack of phonological or semantic representations. Here we take a comparative modeling approach and investigate the cognitive basis of this lexical decision behavior across the three species to clarify whether...

30. Sleep-dependent memory consolidation - is it time for a revision?

Dezso Nemeth (Centre de Recherche en Neurosciences de Lyon)

7/20/22, 2:50 PM

Predictive Processes and Statistical Learning

Talk

Memory consolidation is a key to stabilizing the memory traces coming from learning processes such as statistical learning. It is also crucial in building representations and models. Sleep is widely believed to be essential to learning and memory consolidation. The theory of sleep-dependent consolidation suggests that after an offline period, including sleep, performance improves more than...

16. Hierarchy as Linear Ordering in a Multidimensional Space

Arianna Compostella (University of Verona)

7/20/22, 3:10 PM

Predictive Processes and Statistical Learning

Talk

Human languages are externalized as linear sequences of atomic units.
Generativist approaches assume categorized chunks in language to stem from primitive language-specific properties of the language faculty. Usage-based approaches to language adopt a processing perspective where chunk-formation and word-recognition are strictly tied to statistical computations on the string.
We adopt a...

40. Disentangling Hierarchical and Sequential Computations during Sentence Processing

Dr Yair Lakretz (UNICOG, NeuroSpin)

Predictive Processes and Statistical Learning

Talk

Sequence processing in humans is thought to rely on two distinct mechanisms: the computation of transition probabilities between adjacent elements and the extraction of larger hierarchical structures. Previous studies indicate that both mechanisms contribute to auditory sequence processing, but whether language processing involves one or the other remains debated. To address this issue, we...