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Interdisciplinary Advances in Statistical Learning 2019 27th Jun. - 29th Jun.

PROGRAM

Thursday, June 27th, 2019.

Miramar palace, San Sebastián

08:00 - 08:45

Registration & Welcome Coffee

08:45 - 09:00

Opening Remarks

09:00 - 09:50

Keynote 1: Lori Holt

"An active assist for statistical learning"

  
09:50 - 11:10

Oral Session 1: Neurobiological Perspectives

11:10 - 11:40

Coffe Break

11:40 - 13:10

Symposium 1: Developmental Perspectives on SL

13:10 - 15:00

Lunch Break  (Lunch on your own at one of the many nearby bars or restaurants)

15:00 - 16:20

Oral Session 2: Implicit Learning

16:20 - 16:40
16:40 - 18:30

[PS-1.1] Distributional Analysis of Sequence Learning in Manual and Speech Serial Reaction Time Tasks Erik Chang, Mei-jing Lin & Denise Wu 

[PS-1.2] Common computational principles under statistical learning of visual and auditory structures Beáta Tünde Szabó, Benjámin Márkus, Márton Nagy & József Fiser 

[PS-1.3] A neurocomputational model of unsupervised associative learning predicts successful and impaired statistical learning Ángel Tovar, Gert Westermann, Álvaro Torres, Marco Flores, Lorena Molina & Saúl Gámez 

[PS-1.4] The neural mechanisms supporting audio-visual statistical learning in infants: An fNIRS and looking time study Alice Wang, Sagi Jaffe-Dax & Lauren Emberson 

[PS-1.5] Attention mediates the positive effects of musical training on auditory learning Margarida Vasconcelos & Ana P. Pinheiro 

[PS-1.6] Attention to different statistical structures changes over the course of learning Tess Allegra Forest, Noam Siegelman & Amy S. Finn 

[PS-1.7] Statistical learning of first and second order transitional probabilities Laura Lazartigues, Arnaud Rey, Joël Fagot, Fabien Mathy & Frédéric Lavigne 

[PS-1.8] Human Information Processing in Complex Networks Christopher Lynn, Lia Papadopoulos, Ari Kahn & Danielle Bassett 

[PS-1.9] Serial Dependence in Face Recognition Odeya Guri, Ayelet Gertsovski & Merav Ahissar 

[PS-1.10] Children's statistical learning of restricted generalizations in an artificial language Anna Samara, Elizabeth Wonnacott & Ben Ambridge 

[PS-1.11] High stimulus diversity seems to optimize artificial grammar learning and transfer abilities in adults Rachel Schiff, Pesi Ashkenazi & Ayelet Sasson 

[PS-1.12] Transfer abilities in artificial grammar learning: A comparison between dyslexic and non-dyslexic adults Ayelet Sasson, Hadar Cohen, Shani Kahta & Rachel Schiff 

[PS-1.13] Chunks in Long Sequence Learning Laure Tosatto & Arnaud Rey 

[PS-1.14] Working memory training shifts processing from working-memory-based to statistics-based Tamar Malinovitch, Philippe Albouy, Robert Zatorre & Merav Ahissar 

[PS-1.15] Methodological issues in measuring (online) statistical learning Iris Broedelet, Judith Rispens & Paul Boersma 

[PS-1.16] Online and offline tests of statistical learning: comparing measures from 2AFC, SICR and syllable detections tasks Krisztina Sára Lukics, Dorottya Dobó & Ágnes Lukács 

[PS-1.17] Oculomotor anticipations in a manually controlled probabilistic sequence learning task Noémi Elteto, Péter Pajkossy, Karolina Janacsek, Mihály Racsmány & Dezs? Németh 

[PS-1.18] Do Infants Learn Words from Statistics? Jill Lany, Tianlin Wang & Jessica Hay 

[PS-1.19] A longitudinal investigation of auditory and visual statistical learning in children Evan Kidd, Michael Smithson, Morten Christiansen & Joanne Arciuli  

[PS-1.20] Infant?s statistical learning from a sequence of gestures is modulated by social interaction. Silvia Monacò, Ermanno Quadrelli, Viola Brenna, Chiara Turati & Hermann Bulf 

[PS-1.21] Aberrant Statistical Learning Impairs Sensorimotor Synchronization in Autism Spectrum Disorders Gal Vishne, Nori Jacoby, Or Frenkel & Merav Ahissar 

[PS-1.22] Discovering the Lexicon's Statistical Structure in Reading Jaroslaw Lelonkiewicz & Davide Crepaldi 

[PS-1.23] Statistical Learning shapes proficient reading: a cross-linguistic information-theoretic study Raquel G. Alhama, Noam Siegelman, Ram Frost & Blair C. Armstrong 

[PS-1.24] A Cognitive Explanation for Zipfian Distributions? Low Entropy Is Beneficial for Language Learning Ori Lavi-Rotbain & Inbal Arnon 

[PS-1.25] The effect of statistical frequency of multiple cues during infant cross-situational learning of word-referent mappings Kirsty Dunn, Rebecca Frost & Padraic Monaghan 

[PS-1.26] Statistical Learning in the Wild: What Natural Language Data Tell us about Distributional Learning in a Second Language Elma Kerz, Daniel Wiechmann & Morten Christiansen 

[PS-1.27] Personality Traits Mediate the Relationship between Statistical Learning Ability and L2 Sentence Comprehension Elma Kerz, Daniel Wiechmann & Tandis Silkens 

[PS-1.28] Distributional Properties of Bilingual Child-Directed Speech Luca Onnis & Yezhou Li 

[PS-1.29] The Picture Guessing Game: Robust Active Statistical Learning of Syntactic Regularities Fabio Trecca, Felicity Frinsel & Morten H. Christiansen 

[PS-1.30] Patterns of activity in the temporal lobe reflect sensitivity to basic stimulus statistics that is reduced in individuals with dyslexia Ayelet Gertsovski & Merav Ahissar 

[PS-1.31] Statistical learning of abstract sequences and starting small in dyslexia Dorottya Dobó, Krisztina Lukics, Kornél Németh, Ágnes Szollosi & Ágnes Lukács 

[PS-1.32] Artificial grammar learning tasks using speech stimuli reveal intact, but slower, sequence processing in dyslexia Holly Jenkins, Faye Smith, Nick Riches, Christopher Petkov & Benjamin Wilson 

[PS-1.33] The role of precise phonological representations in auditory statistical learning Amit Elazar, Louisa Bogaerts, Denise Wu & Ram Frost 

Friday, June 28th, 2019.

Miramar palace, San Sebastián

09:00 - 09:50

Keynote 2: Daphna Shohamy

"Learning to predict rewards: episodes, averages, and integration"

 
09:50 - 10:50

Oral Session 3: Chunking

10:50 - 11:20

Coffee Break

11:20 - 13:10

Symposium 2: SL and Language

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 4: Bridging across theories and methodologies

16:00 - 16:20
16:20 - 18:10

[PS-2.1] Cross-situational word learning: a decade of research Rodrigo Dal Ben, Debora Souza & Jessica Hay 

[PS-2.2] Illusory correlations and the acquisition of probabilistic linguistic variation Carmen Saldana, Jia Loy & Kenny Smith 

[PS-2.3] The contribution of individual differences in statistical learning to reading and spelling performance in children with and without dyslexia Merel van Witteloostuijn, Paul Boersma, Frank Wijnen & Judith Rispens 

[PS-2.4] Impaired statistical learning in dyslexia is manifested in a less efficient use of morphology Eva Kimel & Merav Ahissar 

[PS-2.5] Prior knowledge explains individual differences in the reading aloud of English nonwords Anastasia Ulicheva & Kathleen Rastle 

[PS-2.6] Orthographic awareness - Just another awareness? Ferenc Kemény 

[PS-2.7] Experience-driven statistical learning in bilinguals Luca Onnis & Seraphina Fong 

[PS-2.8] The effect of speaker?s reliability in adult second language cross-situational word learning (CSWL) Natalia Rivera-Vera, Padraic Monaghan, Sible Andringa & Edmundo Kronmüller 

[PS-2.9] Metacognitive processing in statistical learning is modulated by bilingualism Mikhail Ordin, Leona Polyanskaya & David Soto 

[PS-2.10] Neural adaptation underlying implicit statistical learning is slower and longer in autism Shahaf Granot , Sagi Jaffe-Dax & Merav Ahissar 

[PS-2.11] Implicit Learning in Hearing and Deaf children with CIs Ambra Fastelli, Chloë Marshall, Giovanni Mento & Barbara Arfé 

[PS-2.12] The (missing) link between statistical learning and expressive grammar knowledge: A meta-analysis Imme Lammertink, Ellen Collée, Paul Boersma, Frank Wijnen & Judith Rispens 

[PS-2.13] Indexical and Suprasegmental Specificity of Infant Statistical Learning Sara Parvanezadeh Esfahani & Jessica Hay 

[PS-2.14]A statistical model from information theory to explain Zipf's law of brevity Antoni Hernández-Fernández, Iván González-Torre, Lucas Lacasa, Christopher T. Kello & Bartolo Luque 

[PS-2.15] Log-normal distribution in acoustic linguistic units Iván González-Torre, Bartolo Luque , Lucas Lacasa, Christopher T. Kello & Antoni Hernández-Fernández 

[PS-2.16] Musical training modulates auditory statistical learning as a function of stimulus type: combined behavioral and EEG insights Margarida Fátima Vasconcelos & Ana P. Pinheiro 

[PS-2.17] Magnetoencephalographic frequency-tagged responses as markers of visual statistical learning Sara-Zohra Arrouf, Vincent Wens, Serge Goldman, Xavier De Tiège & Julie Bertels 

[PS-2.18] Bees learn temporal patterns Elisabetta Versace, Maria Bortot & Sara Peruffo 

[PS-2.19]Overnight consolidation and retention of implicit and explicit knowledge of incidentally learned auditory categories Yafit Gabay, Avi Karni & Lori Holt 

[PS-2.20]Can our ability to learn regularities be trained? Naama Schwartz, Noam Siegelman, Morten H. Christiansen & Ram Frost 

[PS-2.21] The role of variability in linguistic generalization: Evidence from a computerized language training game with 7-year-olds Elizabeth Wonnacott, Chantal Miller & Masa Vujovic 

[PS-2.22] Kindergarteners statistical learning is influenced by instruction Sybren Spit, Sible Andringa, Judith Rispens & Enoch Aboh 

[PS-2.23] Exploring the Constraints on Statistical Learning in Adult Phonological Acquisition Samuel Bond 

[PS-2.24] Less representation without expectation: The effect of regularity on stimulus encoding Henry Brice, Louisa Bogaerts, Naama Schwartz, Tomer Eisenbach & Ram Frost 

[PS-2.25] Comparing Conjunctive and Transitional Probabilities in Statistical LearningComparing Conjunctive and Transitional Probabilities in Statistical Learning Di Mo & Blair Armstrong 

[PS-2.26] Inhibitory control hinders the rewiring of implicit statistical knowledge Kata Horváth, Ábel Gergely, Anna Guttengéber, Kristóf Mikó, Péter Solymosi, Dezso Nemeth & Karolina Janacsek 

[PS-2.27] Robust source-independent biases in children's use of socially and individually acquired information Mark Atkinson, Bill Thompson, Elizabeth Renner, Gemma Mackintosh, Dongjie Xie, Yanjie Su & Christine Caldwell 

[PS-2.28] A new experimental paradigm to study statistical learning under attentional load Hannah Goh & Luca Onnis 

[PS-2.29] Commonly used statistical learning tasks do not capture stable individual differences in children: examining reliability across modalities Inbal Arnon 

[PS-2.30] Different levels of statistical information in the Alternating Serial Reaction Time Task Emese Szegedi-Hallgató, Karolina Janacsek & Dezs? Németh 

Saturday, June 29th, 2019.

Miramar palace, San Sebastián

09:00 - 09:50

Keynote 3: Simon Kirby

From Item to System: how iterated learning drives the evolution of structure?

  
09:50 - 11:00

Symposium 3: Memory

 

11:00 - 11:20

[PS-3.1]Distributional learning is both modality-sensitive and stimuli-sensitive: comparing categorization and production in the auditory, visual, and tactile domains Sabine van der Ham, Limor Raviv & Bart de Boer 

[PS-3.4] Set Size Does Not Matter. Entropy Drives Rule Induction in Non-Adjacent Dependency Learning Ileana Grama, Silvia Radulescu, Frank Wijnen & Sergey Avrutin 

[PS-3.8] Phonotactic patterns influence bilingual advantage in statistical segmentation Jose Aguasvivas, Jon Andoni Duñabeitia & Manuel Carreiras 

[PS-3.11] Learning speech cues from the input Jessie S. Nixon & Fabian Tomaschek 

[PS-3.15] Domain general statistical learning impairment in dyslexia: sensitivity of online and offline measures across modalities and domains Ágnes Lukács, Dorottya Dobó, Kornél Németh, Ágnes Szollosi & Krisztina Sára Lukics 

[PS-3.18] Behavioral and neural correlates of implicit and explicit visual statistical learning Dorota Habasinska, Rüdiger Land, Bruno Kopp & Andrej Kral 

[PS-3.19] Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences - evidence from pupillometry Sijia Zhao, Fred Dick, Peter Dayan, Shigeto Furukawa, Hsin-I Liao & Maria Chait 

[PS-3.21] Infants? brain response to predictable stimuli is weaker but more synchronized Sagi Jaffe-Dax, Vikranth Rao Bejjanki & Lauren Emberson 

[PS-3.24] Network constraints on learnability of probabilistic motor sequences Ari Kahn, Elisabeth Karuza, Jean Vettel & Danielle Bassett 

11:20 - 12:40

[PS-3.1]Distributional learning is both modality-sensitive and stimuli-sensitive: comparing categorization and production in the auditory, visual, and tactile domains Sabine van der Ham, Limor Raviv & Bart de Boer 

[PS-3.2] Structure detection in pseudorandom sequences: Implicit memory transfer of transitional statistics Andrea Kóbor, Kata Horváth, Zsófia Kardos, Zsófia Zavecz, Borbála German, Karolina Janacsek & Dezso Nemeth 

[PS-3.3] N-gram coding as a general-purpose visual learning tool Eva Viviani, Yamil Vidal Dos Santos, Davide Zoccolan & Davide Crepaldi 

[PS-3.4] Set Size Does Not Matter. Entropy Drives Rule Induction in Non-Adjacent Dependency Learning Ileana Grama, Silvia Radulescu, Frank Wijnen & Sergey Avrutin 

[PS-3.5] Inferring behaviour from partial social information and the cultural transmission of adaptive traits Mark Atkinson & Christine Caldwell 

[PS-3.6] Cross-situational statistical learning in Catalan-Spanish children with SLI: An eye-tracking study Nadia Ahufinger, Ernesto Guerra, Laura Ferinu, Mònica Sanz-Torrent & Llorenç Andreu 

[PS-3.7] Subtle differences in phonotactic probability affect speech processing in Brazilian-Portuguese adults Rodrigo Dal Ben, Debora Souza & Jessica Hay 

[PS-3.8] Phonotactic patterns influence bilingual advantage in statistical segmentation Jose Aguasvivas, Jon Andoni Duñabeitia & Manuel Carreiras 

[PS-3.9] Non-adjacent dependency learning over different segments in speech Ivonne Weyers & Jutta L. Mueller 

[PS-3.10] Investigating the link between statistical learning and language in older healthy adults and in stroke patients with aphasia Klara Schevenels, Bert De Smedt, Inge Zink & Maaike Vandermosten 

[PS-3.11] Learning speech cues from the input Jessie S. Nixon & Fabian Tomaschek 

[PS-3.12] Determiner-Noun Fusion in Haitian Creole: A Statistical Learning Perspective Chi Dat Lam 

[PS-3.13] Experience-dependent changes in structural selection and pre-verbal message planning: implicit learning or transient change? Zsofia Stefan & Agnieszka Konopka 

[PS-3.14] Statistical Learning in Pronoun Resolution Eunice Fernandes, Paula Luegi & Elisângela Teixeira 

[PS-3.15] Domain general statistical learning impairment in dyslexia: sensitivity of online and offline measures across modalities and domains Ágnes Lukács, Dorottya Dobó, Kornél Németh, Ágnes Szollosi & Krisztina Sára Lukics 

[PS-3.16] Children?s sensitivity to novel graphotactic constraints with no phonological counterpart: Evidence from an incidental learning task Daniela Singh, Dr. Anna Samara & Dr. Elizabeth Wonnacott 

[PS-3.17] Statistical learning in struggling readers: Are individual differences inherent or modifiable? Beth O'Brien, Malikka Habib & Luca Onnis 

[PS-3.18] Behavioral and neural correlates of implicit and explicit visual statistical learning Dorota Habasinska, Rüdiger Land, Bruno Kopp & Andrej Kral 

[PS-3.19] Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences - evidence from pupillometry Sijia Zhao, Fred Dick, Peter Dayan, Shigeto Furukawa, Hsin-I Liao & Maria Chait 

[PS-3.20] Tonic pupil response to predictable auditory sequences Alice E. Milne, Christina Tampakaki, Sijia Zhao & Maria Chait 

[PS-3.21] Infants? brain response to predictable stimuli is weaker but more synchronized Sagi Jaffe-Dax, Vikranth Rao Bejjanki & Lauren Emberson 

[PS-3.22] The dynamic nature of learning: Evidence from extended practice on an implicit probabilistic sequence learning task Mariann Kiss, Dezso Nemeth & Karolina Janacsek 

[PS-3.23] Speed vs. accuracy instructions in temporally distributed statistical learning: do they have an effect on competence or performance? Teodora Vekony, Hanna Marossy, Reka Sefcsik, Lucia Nemes, Soma Beres, Karolina Janacsek & Dezso Nemeth 

[PS-3.24] Network constraints on learnability of probabilistic motor sequences Ari Kahn, Elisabeth Karuza, Jean Vettel & Danielle Bassett 

[PS-3.25] Statistical Learning Is Not Age-Invariant During Childhood: Performance Improves With Age Across Modality Amir Shufaniya & Inbal Arnon 

12:40 - 14:00

Lunch Break  (Lunch on your own at one of the many nearby bars or restaurants)

14:00 - 15:40

Oral Session 5: Typical and Impaired Language Processing

15:40 - 16:10

Coffee Break

16:10 - 17:00

Keynote 4: Jay McClelland

"Is Deep Learning Statistical Learning?"

  
17:00 - 18:00

Round Table Discussion with Keynote and Theme Speakers

Directed by Dick Aslin

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