Numerical cognition / mathematical thinking

  • Fornaciai M, Park J (in press). Neural sensitivity to numerosity in early visual cortex is not sufficient for the representation of numerical magnitude. Journal of Cognitive Neuroscience.
  • Fornaciai M, Farrell A, Park J (in press). Looking for more food or more people? Task context influences basic numerosity perception. Cortex.
  • DeWind NK, Park J, Woldorff MG, Brannon EM (in press). Numerical encoding in early visual cortex. Cortex.
  • Park J (2018). A neural basis for the visual sense of number and its development: A steady-state visual evoked potential study in children and adults. Developmental Cognitive Neuroscience 30: 333-343.
  • Fornaciai M, Park J (2017). Spatiotemporal feature integration shapes approximate numerical processing. Journal of Vision. 17(13):6, 1-15.
  • Fornaciai M, Brannon EM, Woldorff MG, Park J (2017). Numerosity processing in early visual cortex. NeuroImage. 157(15): 429-438.
  • Collins E, Park J, Behrmann M (2017). Numerosity representation is encoded in human subcortex. Proceedings of the National Academy of Sciences. 114(14), E2806-E2815.
  • Fornaciai M, Park J (2017). Distinct neural signatures for very small and very large numerosities. Frontiers in Human Neuroscience. 11:21.
  • Park J, Bermudez V, Roberts RC, Brannon EM (2016). Non-symbolic approximate arithmetic training improves math performance in preschoolers. Journal of Experimental Child Psychology. 152: 278-293.
  • Park J, Brannon EM (2016). How to interpret cognitive training studies: A reply to Lindskog & Winman. Cognition. 150: 243-251.
  • Park, J, DeWind NK, Woldorff MG, Brannon EM (2016). Rapid and direct encoding of numerosity in the visual stream. Cerebral Cortex. 26: 748-763.
    ** This study was featured in National Geographic.
  • Park J, Starns JJ (2015). The approximate number system acuity redefined: A diffusion model approach. Frontiers in Psychology. 6: 1955.
  • Brannon EM, Park J (2015). “Navigator chapter for: Phylogeny and ontogeny of mathematical and numerical understanding.” In R Cohen Kadosh, A Dowker (Eds.) Oxford Handbook of Numerical Cognition.
  • Park J, Brannon EM (2014). Improving arithmetic performance with number sense training: An investigation of underlying mechanism. Cognition 133(1): 188-200.
  • Park J, Li R, Brannon EM (2014). Neural connectivity patterns underlying symbolic number processing indicate mathematical achievement in children. Developmental Science 17: 187-202.
  • Park J, Brannon EM (2013). Training the approximate number system improves math proficiency. Psychological Science 24(10): 2013-2019.
    ** This study was featured in Discover Magazine.
  • Park J, Park DC, Polk TA (2013). Parietal functional connectivity in numerical cognition. Cerebral Cortex 23: 2127-2135.

Vision (face processing / reading / serial dependence)

  • Fornaciai M, Park J (in press). Serial dependence in numerosity perception. Journal of Vision.
  • Fornaciai M, Park J (2018). Attractive serial dependence in absence of an explicit task. Psychological Science. 29(3): 437-446.
  • Park J, van den Berg B, Chiang C, Woldorff MG, Brannon EM (2018). Developmental trajectory of neural specialization for letter and number visual processing. Developmental Science 21(3): e12578.
  • Park J, Chiang C, Brannon EM, Woldorff MG (2014). Experience-dependent hemispheric specialization of letters and numbers is revealed in early visual processing. Journal of Cognitive Neuroscience 26(10): 2239-2249.
  • Park J, Carp J, Kennedy KM, Rodrigue KM, Bischof GN, Huang C-M, Rieck JR, Polk TA, Park DC (2012). Neural broadening or neural attenuation? Mechanisms underlying age-related dedifferentiation in the face network in a large lifespan sample. The Journal of Neuroscience 32(6): 2154-2158.
  • Park J, Park DC, Polk TA (2012). Investigating environmental contributions to the neural representation of written words: A monozygotic twin study. PLoS ONE 7(2): e31512.
  • Park J, Hebrank A, Polk TA, Park DC (2012). Neural dissociation of number from letter recognition and its relationship to parietal numerical processing. Journal of Cognitive Neuroscience 24(1): 39-50.
  • Carp JM, Park J, Polk TA, Park DC (2011). Age differences in neural distinctiveness revealed by multi-voxel pattern analysis. Neuroimage 56(2): 736-743.
  • Carp JM, Park J (2011). Human learning improves machine learning: Neural and computational mechanisms of perceptual training. The Journal of Neuroscience 31: 3937-3938.
  • Park J, Carp JM, Hebrank A, Park DC, Polk TA (2010). Neural specificity predicts fluid processing ability in older adults. The Journal of Neuroscience 30(27): 9253-9.
  • Berman MG, Park J, Gonzalez R, Polk TA, Gehrke A, Knaffla S, Jonides J (2010). Evaluating functional localizers: The case of the FFA. Neuroimage 50(1): 56-71.
  • Park J, Newman LI, Polk TA (2009). Face processing: The interplay of nature and nurture. The Neuroscientist 15(5): 445-9.
  • Polk TA, Park J, Smith MR, Park DC (2007). Nature versus nurture in ventral visual cortex: an fMRI study of twins. The Journal of Neuroscience 27(51): 13921-5.

Technical development

  • Park J, Shedden K, Polk TA (2012). Correlation and heritability in neuroimaging datasets: A spatial decomposition approach with application to an fMRI study of twins. NeuroImage 59: 1132-1142.
  • Park J, Zhang J (2010). Sensorimotor locus of the buildup activity in monkey lateral intraparietal area neurons. Journal of Neurophysiology 103(5): 2664-74.