Impaired visuo-spatial statistical learning with mathematical learning difficulties
暂无分享,去创建一个
[1] Bat-Sheva Hadad,et al. Nonsymbolic-Magnitude Deficit in Adults With Developmental Dyscalculia: Evidence of Impaired Size Discrimination but Intact Size Constancy , 2021, Psychological science.
[2] A. Perry,et al. Different neural activations for an approaching friend versus stranger: Linking personal space to numerical cognition , 2020, Brain and behavior.
[3] Dante Mantini,et al. Multi-method brain imaging reveals impaired representations of number as well as altered connectivity in adults with dyscalculia , 2019, NeuroImage.
[4] Ru Qi Yu,et al. Object representations are biased toward each other through statistical learning , 2018 .
[5] L. Girelli,et al. Commentary: From ‘sense of number’ to ‘sense of magnitude’ – The role of continuous magnitudes in numerical cognition , 2017, Front. Psychol..
[6] Robert West,et al. Using Bayes factors for testing hypotheses about intervention effectiveness in addictions research , 2016, Addiction.
[7] Jiaying Zhao,et al. Statistical regularities reduce perceived numerosity , 2016, Cognition.
[8] Aaron R Seitz,et al. Dissociable behavioural outcomes of visual statistical learning , 2015, Visual cognition.
[9] Erik D. Thiessen,et al. Impaired Statistical Learning in Developmental Dyslexia. , 2015, Journal of speech, language, and hearing research : JSLHR.
[10] Michael P. Kaschak,et al. Statistical learning is related to early literacy-related skills , 2015, Reading and writing.
[11] Ulf Träff,et al. Development of magnitude processing in children with developmental dyscalculia: space, time, and number , 2014, Front. Psychol..
[12] Amy Devine,et al. Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment☆ , 2013, Cortex.
[13] Noam Siegelman,et al. What Predicts Successful Literacy Acquisition in a Second Language? , 2013, Psychological science.
[14] Jeffrey N. Rouder,et al. Default Bayes factors for ANOVA designs , 2012 .
[15] E. Walker,et al. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[16] N. Turk-Browne,et al. Mutual Interference Between Statistical Summary Perception and Statistical Learning , 2011, Psychological science.
[17] S. Varma,et al. Dyscalculia: From Brain to Education , 2011, Science.
[18] Marcia K. Johnson,et al. Implicit Perceptual Anticipation Triggered by Statistical Learning , 2010, The Journal of Neuroscience.
[19] A. Henik,et al. A disassociation between physical and mental number bisection in developmental dyscalculia , 2010, Neuropsychologia.
[20] Michael L. Anderson. Neural reuse: A fundamental organizational principle of the brain , 2010, Behavioral and Brain Sciences.
[21] Timothy F. Brady,et al. Compression in visual working memory: using statistical regularities to form more efficient memory representations. , 2009, Journal of experimental psychology. General.
[22] S. Rotzer,et al. Dysfunctional neural network of spatial working memory contributes to developmental dyscalculia , 2009, Neuropsychologia.
[23] Marvin M. Chun,et al. Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness , 2009, Journal of Cognitive Neuroscience.
[24] Avishai Henik,et al. Developmental Dyscalculia: heterogeneity might not mean different mechanisms , 2009, Trends in Cognitive Sciences.
[25] Elizabeth M. Brannon,et al. Beyond the number domain , 2009, Trends in Cognitive Sciences.
[26] B. Scholl,et al. Flexible visual statistical learning: transfer across space and time. , 2009, Journal of experimental psychology. Human perception and performance.
[27] A. Oliva,et al. The Representation of Simple Ensemble Visual Features Outside the Focus of Attention , 2008, Psychological science.
[28] B. Scholl,et al. Multidimensional Visual Statistical Learning Visual Statistical Learning , 2005 .
[29] Dare A. Baldwin,et al. Segmenting dynamic human action via statistical structure , 2008, Cognition.
[30] Gavin R. Price,et al. Impaired parietal magnitude processing in developmental dyscalculia , 2007, Current Biology.
[31] Edgar Erdfelder,et al. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.
[32] Avishai Henik,et al. Virtual Dyscalculia Induced by Parietal-Lobe TMS Impairs Automatic Magnitude Processing , 2007, Current Biology.
[33] S. Dehaene,et al. A Magnitude Code Common to Numerosities and Number Symbols in Human Intraparietal Cortex , 2007, Neuron.
[34] Morten H. Christiansen,et al. PSYCHOLOGICAL SCIENCE Research Article Statistical Learning Within and Between Modalities Pitting Abstract Against Stimulus-Specific Representations , 2022 .
[35] G. Kavé,et al. The Development of Naming and Word Fluency: Evidence From Hebrew-Speaking Children Between Ages 8 and 17 , 2006, Developmental neuropsychology.
[36] B. Scholl,et al. The Automaticity of Visual Statistical Learning Statistical Learning , 2005 .
[37] J. B. Trobalon,et al. Statistical computations over a speech stream in a rodent , 2005, Perception & psychophysics.
[38] A. Treisman,et al. Statistical processing: computing the average size in perceptual groups , 2005, Vision Research.
[39] Orly Manor,et al. Developmental dyscalculia: a prospective six‐year follow‐up , 2005, Developmental medicine and child neurology.
[40] Philippe Pinel,et al. Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus , 2004, Neuron.
[41] Vincent Walsh. A theory of magnitude: common cortical metrics of time, space and quantity , 2003, Trends in Cognitive Sciences.
[42] S. Dehaene,et al. THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING , 2003, Cognitive neuropsychology.
[43] R. Siegler,et al. The Development of Numerical Estimation , 2003, Psychological science.
[44] R. Aslin,et al. Statistical learning of higher-order temporal structure from visual shape sequences. , 2002, Journal of experimental psychology. Learning, memory, and cognition.
[45] Scott P. Johnson,et al. Visual statistical learning in infancy: evidence for a domain general learning mechanism , 2002, Cognition.
[46] R. Aslin,et al. PSYCHOLOGICAL SCIENCE Research Article UNSUPERVISED STATISTICAL LEARNING OF HIGHER-ORDER SPATIAL STRUCTURES FROM VISUAL SCENES , 2022 .
[47] Takeo Watanabe,et al. Perceptual learning without perception , 2001, Nature.
[48] C. Gilbert,et al. The Neural Basis of Perceptual Learning , 2001, Neuron.
[49] D. Ariely. Seeing Sets: Representation by Statistical Properties , 2001, Psychological science.
[50] M. Chun,et al. Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention , 1998, Cognitive Psychology.
[51] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[52] R. Shalev,et al. Developmental Dyscalculia , 2004, Journal of child neurology.
[53] Uta Boehm,et al. What Counts How Every Brain Is Hardwired For Math , 2016 .
[54] Sharon L. Thompson-Schill,et al. Visual statistical learning is not reliably modulated by selective attention to isolated events , 2015, Attention, perception & psychophysics.
[55] D. Ansari,et al. Dyscalculia: Characteristics, Causes, and Treatments , 2013 .
[56] Mary K. Hoard,et al. First-Grade Predictors of Mathematical Learning Disability: A Latent Class Trajectory Analysis. , 2009, Cognitive development.
[57] R. Shalev,et al. Developmental dyscalculia: prevalence and prognosis , 2009, European Child & Adolescent Psychiatry.
[58] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[59] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[60] E. Newport,et al. Statistical learning by 8-month-old infants. , 1996, Science.
[61] Morten H. Christiansen,et al. The Quarterly Journal of Experimental Psychology Timing Is Everything: Changes in Presentation Rate Have opposite Effects on Auditory and Visual Implicit Statistical Learning , 2022 .