These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 30569631)

  • 1. What Mechanisms Underlie Implicit Statistical Learning? Transitional Probabilities Versus Chunks in Language Learning.
    Perruchet P
    Top Cogn Sci; 2019 Jul; 11(3):520-535. PubMed ID: 30569631
    [TBL] [Abstract][Full Text] [Related]  

  • 2. New evidence for chunk-based models in word segmentation.
    Perruchet P; Poulin-Charronnat B; Tillmann B; Peereman R
    Acta Psychol (Amst); 2014 Jun; 149():1-8. PubMed ID: 24632521
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TRACX: a recognition-based connectionist framework for sequence segmentation and chunk extraction.
    French RM; Addyman C; Mareschal D
    Psychol Rev; 2011 Oct; 118(4):614-36. PubMed ID: 22003842
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modelling unsupervised online-learning of artificial grammars: linking implicit and statistical learning.
    Rohrmeier MA; Cross I
    Conscious Cogn; 2014 Jul; 27():155-67. PubMed ID: 24905545
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Chunking Versus Transitional Probabilities: Differentiating Between Theories of Statistical Learning.
    Emerson SN; Conway CM
    Cogn Sci; 2023 May; 47(5):e13284. PubMed ID: 37183483
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Implicit learning and statistical learning: one phenomenon, two approaches.
    Perruchet P; Pacton S
    Trends Cogn Sci; 2006 May; 10(5):233-8. PubMed ID: 16616590
    [TBL] [Abstract][Full Text] [Related]  

  • 7. TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning.
    Mareschal D; French RM
    Philos Trans R Soc Lond B Biol Sci; 2017 Jan; 372(1711):. PubMed ID: 27872375
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Chunking or not chunking? How do we find words in artificial language learning?
    Franco A; Destrebecqz A
    Adv Cogn Psychol; 2012; 8(2):144-54. PubMed ID: 22723813
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational Modeling of Statistical Learning: Effects of Transitional Probability Versus Frequency and Links to Word Learning.
    Mirman D; Graf Estes K; Magnuson JS
    Infancy; 2010 Sep; 15(5):471-486. PubMed ID: 32693506
    [TBL] [Abstract][Full Text] [Related]  

  • 10. iMinerva: a mathematical model of distributional statistical learning.
    Thiessen ED; Pavlik PI
    Cogn Sci; 2013 Mar; 37(2):310-43. PubMed ID: 23126517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computational Investigations of Multiword Chunks in Language Learning.
    McCauley SM; Christiansen MH
    Top Cogn Sci; 2017 Jul; 9(3):637-652. PubMed ID: 28481476
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Statistical learning of an auditory sequence and reorganization of acquired knowledge: A time course of word segmentation and ordering.
    Daikoku T; Yatomi Y; Yumoto M
    Neuropsychologia; 2017 Jan; 95():1-10. PubMed ID: 27939187
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A role for backward transitional probabilities in word segmentation?
    Perruchet P; Desaulty S
    Mem Cognit; 2008 Oct; 36(7):1299-305. PubMed ID: 18927044
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Implicit Statistical Learning: A Tale of Two Literatures.
    Christiansen MH
    Top Cogn Sci; 2019 Jul; 11(3):468-481. PubMed ID: 29630770
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Taking patterns for chunks: is there any evidence of chunk learning in continuous serial reaction-time tasks?
    Jiménez L
    Psychol Res; 2008 Jul; 72(4):387-96. PubMed ID: 17647014
    [TBL] [Abstract][Full Text] [Related]  

  • 16. New insights into statistical learning and chunk learning in implicit sequence acquisition.
    Du Y; Clark JE
    Psychon Bull Rev; 2017 Aug; 24(4):1225-1233. PubMed ID: 27812961
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Statistical learning and memory.
    Endress AD; Slone LK; Johnson SP
    Cognition; 2020 Nov; 204():104346. PubMed ID: 32615468
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning.
    Soares AP; Gutiérrez-Domínguez FJ; Vasconcelos M; Oliveira HM; Tomé D; Jiménez L
    Front Hum Neurosci; 2020; 14():577991. PubMed ID: 33173474
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Transitional probabilities count more than frequency, but might not be used for memorization.
    Endress AD; Langus A
    Cogn Psychol; 2017 Feb; 92():37-64. PubMed ID: 27907807
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Effect of chunk strength on the performance of children with developmental dyslexia on artificial grammar learning task may be related to complexity.
    Schiff R; Katan P; Sasson A; Kahta S
    Ann Dyslexia; 2017 Jul; 67(2):180-199. PubMed ID: 28409401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.