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BCBL, Basque Center on Cognition, Brain and Language

Conference

Wednesday, June 01 2022.

 

08:00 – 8:45    Registration & Welcome Coffee

                                                                                                            

08:45 – 9:00    Opening Remarks

 

09:00 – 9:50    Keynote 1:  Adele Goldberg

When generalizing is a challenge: Language and autism

 

09:50 – 11:10  Oral Session 1: New approaches to SL

 

09:50-10:10

OS. 1.1.

Exploring adult statistical learning of several regularities at once.

Samuel Bond, Michael Pilling, Olivia Afonso & Nayeli Gonzalez-Gomez

10:10-10:30

OS. 1.2.

The Role of Feedback in Active Statistical Learning

Felicity Frinsel, Fabio Trecca & Morten Christiansen

10:30-10:50

OS. 1.3.

Artificial Grammar Learning with the Fibonacci grammar: investigating statistical and hierarchical learning in the tactile sensory domain

Arianna Compostella, Denis Delfitto & Maria Vender

10:50-11:10

OS. 1.4.

The First 1,000 Days Project

Casey Lew-Williams, Liat Hasenfratz & Uri Hasson

 

11:10 – 11:40  Coffee Break

 

11:40 – 13:10  Symposium 1: Action & Perception

 

11:40-12:10

S. 1.1.

Theme Speaker: Clare Press

The ubiquitous relationship between action, perception, and statistical learning

 

12:10-12:30

S. 1.2.

Statistics in motion: predicting actions based on their transitional probability

Tommaso Ghilardi, Marlene Meyer, Claire D. Monroy, Sarah A. Gerson & Sabine Hunnius

12:30-12:50

S. 1.3.

Human Dynamic Actions Aid Non-adjacent Dependency Learning in Both Infants and Adults

Helen Shiyang Lu & Toben Mintz

12:50-13:10

S. 1.4.

Statistical learning in vision and beyond

József Fiser & Gábor Lengyel

 

13:10 – 15:00  Lunch Break (Lunch on your own at one of the many nearby bars or restaurants)

 

15:00 – 16:00  Oral Session 2: SL & Memory

 

15:00-15:20

OS. 2.1.

Memory consolidation results in a condense representation of a probabilistic input in 5-month-old infants

Ana Fló, Chanel Varela & Ghislaine Dehaene-Lambertz

15:20-15:40

OS. 2.2.

Grammatical generalisation and statistical Learning: Contributions of implicit and explicit knowledge

Amanda Hickey, Jelena Mirkovic & Marianne E. Hayiou-Thomas

15:40-16:00

OS. 2.3.

The Effect of Consolidation on Structure Learning

Dominik Garber & József Fiser

 

16:00 – 16:20  Poster Blitz I

 

PS. 1. 1.

Procedural learning on the SRTT: Sensitivity to group level and individual differences in language and literacy

PS. 1. 2.

The Role of Pauses and Entropy in Learning Nonadjacent Dependencies

PS. 1. 3.

A grouped presentation of syntactic cues facilitates the acquisition of gender-like subclasses in 4-to 6-year-olds: Evidence from artificial language learning

PS. 1. 4.

Atypicality in Statistical Learning is Not Domain-General for Children with Autism

PS. 1. 5.

Evaluating unsupervised word segmentation in adults: a meta-analysis.

PS. 1. 6.

The human brain compresses binary sound sequences using a language of thought

 

16:20 – 18:00  Poster Session I & Coffee Break

 

PS. 1. 1.

Procedural learning on the SRTT: Sensitivity to group level and individual differences in language and literacy

PS. 1. 2.

The Role of Pauses and Entropy in Learning Nonadjacent Dependencies

PS. 1. 3.

A grouped presentation of syntactic cues facilitates the acquisition of gender-like subclasses in 4-to 6-year-olds: Evidence from artificial language learning

PS. 1. 4.

Atypicality in Statistical Learning is Not Domain-General for Children with Autism

PS. 1. 5.

Evaluating unsupervised word segmentation in adults: a meta-analysis.

PS. 1. 6.

The human brain compresses binary sound sequences using a language of thought

PS. 1. 7.

A letter is a letter and its co-occurrences: Tetsing the emergecne of location ivnariance processing

PS. 1. 8.

Learning to suppress a location does not depend on knowing which location

PS. 1. 9.

Statistical Learning in relation to ASD and ADHD traits: Further evidence for a spectrum of impairment  

PS. 1. 10.

Speed and accuracy instructions differently affect the learning of probability- and serial order-based regularities

PS. 1. 11.

A Prelinguistic Shape Bias in Categorization Emerges from Visual Statistical Learning in a Computational Model

PS. 1. 12.

Attention and Statistical Learning in Adults with Typical and Atypical Language Ability

PS. 1. 13.

Human statistical learning dynamically shapes the hippocampal processing of temporal associations

PS. 1. 14.

Visual Sequence Relearning after a One-year Delay in 7-Year-Olds and Adults

PS. 1. 15.

No substantial evidence for a high variability benefit for the learning of non native phoneme contrasts? A replication

PS. 1. 16.

The two sides of Goldilocks: Infants maximize information and avoid highly surprising stimuli

PS. 1. 17.

Different statistical learning dynamics in adults with Autism Spectrum Disorder?

PS. 1. 18.

Context-dependent distractor location regularities: learned but not always applied

PS. 1. 19.

Implicit and explicit vocabulary learning in a foreign language: A comparison between high- and low-proficiency ELLs

PS. 1. 20.

Proactive enhancement and suppression elicited by statistical regularities in visual search

PS. 1. 21.

Distinct neural circuits for tracking prosodic and statistical regularities in speech?

PS. 1. 22.

Predicting Fixation Locations in 43 Languages based on Perceptual Constraints and Information Theory

PS. 1. 23.

Implicit cross-situational word learning in children with and without developmental language disorder

 

 

 

Thursday, June 02 2022.

 

09:00 – 9:50   Keynote 2: Floris de Lange

Predictive neural representations in vision, language and music

 

09:50 – 10:50  Oral Session 3: Mechanisms of SL

 

09:50-10:10

OS. 3.1.

Pinging the brain to reveal a hidden attentional priority map

Dock Duncan, Dirk van Moorselaar & Jan Theeuwes

10:10-10:30

OS. 3.2.

Probing sensitivity to statistical structure of rapid sound sequences using deviant detection tasks

Alice Milne, Maria Chait & Christopher Conway

10:30-10:50

OS. 3.3.

Humans parsimoniously represent sequence structure by pruning and completing the underlying generative network

Lucas Benjamin, Ana Fló, Fosca Al Roumi, Stanislas Dehaene & Ghislaine Dehaene-Lambertz

 

10:50 – 11:20  Coffee Break

 

11:20 – 13:10  Symposium 2: Development

 

11:20-11:50

S. 2.1.

Theme Speaker: Natasha Kirkham

Statistical learning and development

 

11:50-12:10

S. 2.2.

Dissociated Learning Processes in the Development of Statistical Learning

Anqi Hu & Zhenghan Qi

12:10-12:30

S. 2.3.

Inverted U-shaped developmental trajectory across the lifespan in online and offline measures of verbal statistical learning

Krisztina Sára Lukics, Dorottya Dobó & Ágnes Lukács

12:30-12:50

S. 2.4.

Statistical learning shapes visual perception in infants, children, and adults

Sagi Jaffe-Dax, Christine Potter, Tiffany Leung, Lauren Emberson & Casey Lew-Williams

12:50-13:10

S. 2.5.

The Developmental Trajectories of Statistical Learning and Working Memory in Children with and without Developmental Dyslexia

Mei Zhou & Xiuli Tong

 

13:10 – 15:00  Lunch Break (Lunch on your own at one of the many nearby bars or restaurants)

 

15:00 – 16:30  Symposium 3: Reading

 

15:00-15:30

S. 3.1.

Theme Speaker: Davide Crepaldi

Statistical Learning and Learning to Read

 

15:30-15:50

S. 3.2.

Predicting L2 literacy acquisition from individual sensitivity to statistical regularities

Henry Brice, Noam Siegelman, Mark van den Bunt, Stephen J. Frost, Jay G. Rueckl, Kenneth R. Pugh & Ram Frost

15:50-16:10

S. 3.3.

Reader targeting of words is guided by the statistical structure of the lexicon

Jon Carr & Davide Crepaldi

16:10-16:30

S. 3.4.

The association between chunk sensitivity and online sentence processing: Fast and efficient or fast and shallow?

Manuel Pulido & Priscila López-Beltrán

 

16:30 – 16:50  Poster Blitz II

 

PS. 2. 1.

Can novelty detection explain grammatical deficits in children with Developmental Language Disorder?

PS. 2. 2.

Different patterns of SL impairment in Developmental Language Disorder (DLD) and in Attention Deficit Hyperactivity Disorder (ADHD)

PS. 2. 3.

Can Adults Track Transitional Probabilities in an Unfamiliar Natural Language?

PS. 2. 4.

Investigating the Extent to which Distributional Semantics Models Capture a Broad Range of Semantic Relations

PS. 2. 5.

Statistical learning of spatiotemporal regularities dynamically guide visual attention across space

PS. 2. 6.

Encoding of AB structures in human and nonhuman primates: sequences or pairs?

PS. 2. 7.

Cue Predictiveness and Uncertainty Determine Cue Perception During Statistical Learning

 

16:50 – 18:30  Poster Session II & Coffee Break

 

PS. 2. 1.

Can novelty detection explain grammatical deficits in children with Developmental Language Disorder?

PS. 2. 2.

Different patterns of SL impairment in Developmental Language Disorder (DLD) and in Attention Deficit Hyperactivity Disorder (ADHD)

PS. 2. 3.

Can Adults Track Transitional Probabilities in an Unfamiliar Natural Language?

PS. 2. 4.

Investigating the Extent to which Distributional Semantics Models Capture a Broad Range of Semantic Relations

PS. 2. 5.

Statistical learning of spatiotemporal regularities dynamically guide visual attention across space

PS. 2. 6.

Encoding of AB structures in human and nonhuman primates: sequences or pairs?

PS. 2. 7.

Cue Predictiveness and Uncertainty Determine Cue Perception During Statistical Learning

PS. 2. 8.

Learning and Memorization of a Multi-modality and Multi-cue Sequence

PS. 2. 9.

If both are present, auditory or visual cues drive the perception of bistable visual stimuli in a volatile environment?

PS. 2. 10.

Domain-general mechanisms and agreement learning in an artificial grammar

PS. 2. 11.

Predictive Eye Movements Reveal Sensitivity to Regularities across Different Levels of Noise

PS. 2. 12.

Bilingualism selectively affects complex linguistic statistical learning

PS. 2. 13.

Is statistical learning error-driven?

PS. 2. 14.

Statistical learning of across-trial regularities during serial search

PS. 2. 15.

Novel word learning, morphology and statistical learning

PS. 2. 16.

Infants learn complex visual structures and then what?

PS. 2. 17.

Probabilistic model using HDP producing vocabularies of Japanese children

PS. 2. 18.

Differential use of Transitional Probabilities and Frequency in Statistical Learning of Pseudowords

PS. 2. 19.

Statistical Learning of spatial and temporal contingencies in readers of two writing systems.

PS. 2. 20.

Crossmodal statistical learning is modulated by modality predictability

PS. 2. 21.

Signatures of information compression in a large-scale naturalistic memory data set

PS. 2. 22.

How does the duration of short rest periods between learning blocks affect statistical learning?

PS. 2. 23.

Auditory Statistical Learning of Suprasegmental Speech Features Is Associated with Lexical Tone Perception Deficits in Hong Kong Chinese Children with Developmental Dyslexia

PS. 2. 24.

Infant-Directed Communication: Examining the multimodal structure of infants’ everyday interactions with caregivers

PS. 2. 25.

Applying discriminative learning to the cross-situational learning paradigm

PS. 2. 26.

To Chunk or Not to Chunk: Statistical Learning of High-Frequency Word-Marker Pairs

Friday, June 03 2022.

 

9:00 – 9:50       Keynote 3: James Magnuson

Forms, formalisms, and emergence

 

09:50 – 11:00  Symposium 4: SL in other species

 

09:50-10:20

S. 4.1.

Theme Speaker: Christopher Petkov

Evolution of Language and Cognition: Perspectives from Primate Statistical Learning and Neural Systems

 

10:20-10:40

S. 4.2.

The Evolution of Chunks in Sequence Learning

Laure Tosatto, Joël Fagot, Dezso Nemeth & Arnaud Rey

10:40-11:00

S. 4.3.

Statistical learning from a speech stream in dogs revealed by EEG and fMRI

Marianna Boros, Lilla Magyari, Boglárka Morvai, Dávid Török, Anett Bozsik, Andrea Deme & Attila Andics

 

11:00 – 11:20  Poster Blitz III

 

PS. 3. 1.

Paradigmatic cues in morphology learning

PS. 3. 2.

The role of statistical learning ability in acquisition of formulaic sequences through audiovisual input

PS. 3. 3.

Modelling Word Segmentation in Auditory Statistical Learning as Syntactic Parsing

PS. 3. 4.

Exploring adult learners discrimination of non-native speech contrasts under an error-driven learning account

PS. 3. 5.

Improved word segmentation in skewed distributions with language-like unigram entropy

PS. 3. 6.

Predictable pitch improves listeners’ ability to track patterns in other acoustic features within rapidly unfolding sound sequences

PS. 3. 7.

Rapid expectation adaptation for rare cadences in music

 

11:20 – 13:10  Poster Session III & Coffee Break

 

PS. 3. 1.

Paradigmatic cues in morphology learning

PS. 3. 2.

The role of statistical learning ability in acquisition of formulaic sequences through audiovisual input

PS. 3. 3.

Modelling Word Segmentation in Auditory Statistical Learning as Syntactic Parsing

PS. 3. 4.

Exploring adult learners discrimination of non-native speech contrasts under an error-driven learning account

PS. 3. 5.

Improved word segmentation in skewed distributions with language-like unigram entropy

PS. 3. 6.

Predictable pitch improves listeners’ ability to track patterns in other acoustic features within rapidly unfolding sound sequences

PS. 3. 7.

Rapid expectation adaptation for rare cadences in music

PS. 3. 8.

Prior linguistic experience affects statistical learning of orthographic regularities

PS. 3. 9.

Statistical and prosodic cues for word segmentation: evidence from Russian

PS. 3. 10.

Valenced context helps toddlers learn emotion labels

PS. 3. 11.

Age-invariant retention of statistical knowledge across the lifespan

PS. 3. 12.

The Role of Effort in Novel Word and Grammar Learning

PS. 3. 13.

Inter-Trial Phase Coherence as a Neural Measure of Online Statistical Word-Learning: A Scoping Review

PS. 3. 14.

Temporal Constraints on the Learning of Multi-Word Chunks?

PS. 3. 15.

Neural entrainment of natural language in a large-scale sample of school-aged children

PS. 3. 16.

Temporally evolving probabilistic segmentation of sequential auditory information

PS. 3. 17.

The role of prediction and statistical learning in reading

PS. 3. 18.

The contribution of different forms of verbal statistical learning to language processing

PS. 3. 19.

S-shaped frequency effects in word recognition do not require serial search

PS. 3. 20.

Statistical learning of language: A meta-analysis into 25 years of research

PS. 3. 21.

Statistical learning of sequence-specific conditions in typical adults

PS. 3. 22.

The dynamics of multiword sequence extraction

PS. 3. 23.

Predicting the Predictable: Cross-Linguistic Differences in the Impact of Letter-Transition Uncertainty on Word Fixation Times During Natural Text Reading

PS. 3. 24.

Learnability Effects in Children: Are Languages with more systematic structure Easier to Learn?

PS. 3. 25.

Spacing of repetitions in statistical learning

PS. 3. 26.

Alpha-band oscillations reflect tactile attention via the engagement of occipital regions in early blindness

PS. 3. 27.

The heterogeneous engagement of the language network during statistical learning

 

13:10 – 15:00  Lunch Break (Lunch on your own at one of the many nearby bars or restaurants)

 

15:00 – 16:40  Oral Session 4: Learning linguistic regularities

 

15:00-15:20

OS. 4.1.

Individual differences in artificial and natural language statistical learning

Erin Isbilen & Stewart McCauley

15:20-15:40

OS. 4.2.

Individual word and phrase frequency effects in collocational processing: Evidence from typologically different languages, English and Turkish

Dogus Can Oksuz, Patrick Rebuschat & Padraic Monaghan

15:40-16:00

OS. 4.3.

A cognitive bias for Zipfian distributions? Uniform distributions become more skewed via cultural transmission

Amir Shufaniya & Inbal Arnon

16:00-16:20

OS. 4.4.

Atypical bias towards statistical processing in speakers with Williams syndrome: Explaining the appearance of preserved language capacities

Vitor Zimmerer, Ioana Sederias, Ariane Krakovitch & Vesna Stojanovik

16:20-16:40

OS. 4.5.

Statistical learning mechanisms support initial word form learning in a natural language learning context

Laura Batterink, Elise Alexander & Stephen Van Hedger

 

16:40 – 17:10  Coffee Break

 

17:10 – 18:00  Early career talk: Lauren Emberson

Statistical learning research in a developmental cognitive neuroscience context: My past and our future

 

18:00 – 18:30  Round table/ Closing remarks

………………………………………………………

20:00 – 20:20  Bus transfer San Sebastian – Conference Dinner

20:30 – 23:00  CONFERENCE DINNER

23:00 – 23:20  Bus transfer to San Sebastian

November 30 1999.

Natasha Kirkham *Birbeck*

November 30 1999.

Davide Crepaldi *SISSA*

November 30 1999.

Clare Press * Birkbeck*

November 30 1999.

Chris Petkov * Newcastle University*

November 30 1999.

Manuel Carreiras

BCBL Director. Ikerbasque Research Professor. Group Leader

m.carreiras@bcbl.eu

November 30 1999.

Ram Frost

Senior Scientist. Group Leader

ram.frost@mail.huji.ac.il

November 30 1999.

Louisa Bogaerts

Assistant Professor & Principle investigator,

louisa.bogaerts@ugent.be

November 30 1999.

Information about conference venue

The conference will take place at the Palacio Miramar in Donostia - San Sebastián, the Basque Country, which is located adjacent to the sea and just a short 5-10 minute walk from the city center.

 

How to get there

November 30 1999.

Information about accommodation

ACCOMMODATION

Please notice that San Sebastian is one of the most popular and touristic cities of Northern Spain, so we recommend to book the hotel as soon as possible in order to avoid availability issues.

For accommodation options you can check the Accommodation official website of San Sebastián (http://www.sansebastianreservas.com/), where you can find the full list of hotels, hostels, student hostels as Olarain (http://www.olarain.com/) and also last minute offers.

You can see the location of the venues and hotels on this map

HOW TO GET HERE

Its strategic situation and the fact that it\'s well provided with infrastructures have made San Sebastian an easily accessible place, connected by every kind of transport to the rest of the world. Choose the one that suits you best and begin your journey to San Sebastian!

GETTING TO SAN SEBASTIAN BY PLANE

Within a radius of barely 100 kilometres San Sebastian lays claim to 5 airports, 3 of them international.

San Sebastian lays claim to one airport 20 minutes from the city centre. It has a shuttle service to the main Spanish cities: Madrid and Barcelona.

Not far away are the airports of Bilbao, connected to the whole of Europe; and Biarritz, served by French, international and low-cost airlines.

San Sebastian Airport (EAS) - 20 kms.
Bilbao Airport (BIO) - 105 kms.
Vitoria-Gasteiz Airport (VIT) - 120 kms.
Pamplona Airport (PNA) - 90 kms.
Biarritz Airport (BIQ) - 40 kms.

www.aena.es

www.biarritz.aeroport.fr

Shuttle service Bilbao Airport <> San Sebastián

Shuttle service San Sebastian airport <> city centre

GETTING TO SAN SEBASTIAN BY TRAIN

Situated right in the centre of the city, San Sebastian\'s train station, known as the Estación del Norte (Northern Station), is connected to a large number of Spanish cities, including Madrid and Barcelona, and also international destinations, such as Paris and Lisbon.

Getting to and from San Sebastian by train is going to be much quicker thanks to the new High-Speed Train, which will connect the city with numerous destinations in the near future.

There is also a narrow-gauge railway that runs to Bilbao and different Basque coastal towns such as Zarautz, plus a line on which a train called the \"Topo\" runs to Hendaye in France.

http://www.renfe.es
http://www.euskotren.es
http://www.sncf.com

CAR PARKS

Getting to San Sebastian by car is very simple. The city is connected to the rest of Spain and to France by National Road N1/AP1 (Madrid-Irún), the A-8 (Bilbao-Irún) and A-63 (Paris-Irún) motorways, and the A-15 trunk road (Pamplona-San Sebastian).
Nearly all areas of the city can be accessed on one of these highways.

If you come to San Sebastian by car, there are more than 6,000 parking places available to you at different points in the city.

Check the state of the REAL TIME parkings, by click here.

PARKING FOR MOTORHOME

20 parking places approximately.
Marks between parking places.
Lighting.
Water outlet.
Waste disposal area.

Motorhome parking rules:

It is allowed to park but not to camp.
Using awning is not allowed.
Tables and chairs are not allowed in the parking area.
Wedges are allowed.
Please respect the neighbourhood.

GETTING TO SAN SEBASTIAN BY BUS

San Sebastian has a sizeable bus station that connects the city with others throughout Spain and part of the European continent.

Main bus lines companies from San Sebastian:

Eurolines
Alsa
Vibasa
Pesa
Conda

November 30 1999.

Oihana Vadillo

Lab Manager

o.vadillo@bcbl.eu

November 30 1999.

Leire Arietaleanizbeascoa

Personal Assistant

l.arieta@bcbl.eu

November 30 1999.

Miguel Arocena

General Manager

m.arocena@bcbl.eu

November 30 1999.

Floris de Lange *Donders Institute, Radboud University *

Predictive Brain Lab

 

 

 

 

 

November 30 1999.

Adele Goldberg *Princeton University*

Princeton Universtity

 

 

 

 

 

November 30 1999.

James Magnuson *University of Connecticut & Basque Center on Cognition Brain and Language*

Basque Center on Cognition Brain and Language

 

 

 

 

 

November 30 1999.

Early Career Talk: Lauren Emberson * The Univesity of British Columbia*

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