Wednesday, June 05 2024.
Day 1
08:00 – 09:00 Registration & Welcome Coffee
09:00 - 09:10 Opening Remarks
09:10-10:00 Keynote Speaker 1: Tom Griffiths: Bayes in the age of intelligent machines
10:00-10:40 Coffee break
10:40-11:50 Symposium 1: SL and neurobiology
10:40-11:10 (S-1.1.) Theme Speaker Laura Batterink — Towards a clearer mechanistic understanding of neural entrainment in statistical learning
11:10-11:30 (S-1.2.) Hierarchical processing among hippocampal, striatal and visual regions during implicit learning of temporal regularity
11:30-11:50 (S-1.3.) EEG frequency tagging and time-resolved decoding in visual statistical learning
11:50 - 13:10 Oral Session 1: Evolution and developmental perspectives on SL
11:50-12:10 (OS-1.1.) Electrophysiological evidence for a human-like consonant bias in dogs' perception of continuous speech.
12:10-12:30 (OS-1.2.) Using iterated learning to explore the music-language family resemblance
12:30-12:50 (OS-1.3.) Developmental shifts in the formation and representation of statistical memories
12:50-13:10 (OS-1.4) Children are Better Linguistic Statistical Learners than Adults
13:10 - 15:00 Break (Lunch on your own)
15:00 - 16:00 Oral Session 2: SL in the real world
15:00 - 15:20 (OS-2.1.) Rethinking Probabilities: Why Corpus Statistics Fail to Capture Speakers' Dynamic Linguistic Behaviour
15:20 - 15:40 (OS-2.2.) Beyond rules: Statistical learning of non-phrasal abstract language structure
15:40 - 16:00 (OS-2.3.) Statistical learning of a hierarchical center-embedded structure. Influence of two distributional biases in the input: a Zipf distribution and semantic biases.
16:00 - 16:20 Poster Blitz I
Domain-specific and domain-general statistical information supporting spelling skills
Effects of chronological age and prematurity on visual statistical learning in infancy
ERP correlates of speech segmentation in pigs and wild boars
Transitional Probabilities Modulate the Neural Dynamics During Learning of Visual Shape Sequences
16:20 - 18:00 Poster Session I & Coffee break
PS.1.3 Context-dependent efficient coding links statistical and perceptual learning
PS.1.6 Domain-specific and domain-general statistical information supporting spelling skills
PS.1.7 Effects of chronological age and prematurity on visual statistical learning in infancy
PS.1.8 Electrophysiological study of visual statistical learning in pre-school ASD children
PS.1.9 ERP correlates of speech segmentation in pigs and wild boars
PS.1.11 Hippocampal involvement in reading
PS.1.13 How underlying statistical structures modulate the neural response to rapid auditory sequences
PS.1.14 Individual Differences in Retention of Novel Wordforms Learned Through Auditory Statistical Learning
PS.1.15 Intact adult implicit probabilistic statistical learning following childhood adversity
PS.1.16 Introducing semanticity as a novel quantitative measure in Statistical Learning
PS.1.17 Language Models are Different: The Parametric Mechanics of Systematicity
PS.1.19 Mirroring time: symmetry of memory and prediction in temporal judgments
PS.1.20 Neurocognitive adaptation to syllabic timing: evidence from MEG
PS.1.22 Statistical learning decreases between 7 and 14 years of age – evidence from a longitudinal study
PS.1.23 Statistical study of the oral production of Catalan-Spanish bilingual people with aphasia
PS.1.24 The Foreign Language Effect Beyond Language
PS.1.25 The interplay between executive functions and the rewiring of implicit probabilistic representations
PS.1.26 The role of entropy in frame-based lexical categorization
PS.1.27 Transitional Probabilities Modulate the Neural Dynamics During Learning of Visual Shape Sequences