Publications

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Journal Articles / Book Chapters / Proceedings (* with students)

Cesnaite, E., Algermissen, J., Vinding, M., ... Soylu, F., et al. (2026). Many Pipelines, One Dataset: Analytic Flexibility and Its Impact in EEG Research. MetaArXiv. https://osf.io/preprints/metaarxiv/wvx48_v2 [Preprint][PDF download]

Yu, Y., R. A. Abreu-Mendoza, I. Boni, ... Soylu, F. et al. (2026). ManyNumbers 3: A Multi-Lab Study of Demographic Correlates of Early Number Knowledge. Developmental Science, 29(3). https://doi.org/10.1111/desc.70184[ PDF download]

Cesnaite, E., Vitale, A., Pascarella, A., ... Soylu, F. et al. (2025). The EEGManyPipelines Dataset: Metascientific Data on 168 Independent Analyses of a Single EEG Dataset. MetaArXiv. https://doi.org/10.31222/osf.io/c4xwg_v1 [Preprint][PDF download]

Soylu, F. (2024). A new ontology for numerical cognition: Integrating evolutionary, embodied, and data informatics approaches. Acta Psychologica, 249, 104416. https://doi.org/10.1016/j.actpsy.2024.104416 [PDF download]

Soylu, F., May, K.*, & Kana, R. (2023). White and Gray Matter Correlates of Theory of Mind in Autism: A Voxel-Based Morphometry Study. Brain Structure and Function.https://doi.org/10.1007/s00429-023-02680-5 [PDF download]

Salehzadeh, R.*, Soylu, F., & Jalili, N. (2023). A comparative study of machine learning methods for classifying ERP scalp distribution. Biomedical Physics & Engineering Express, 9(4), 045027. https://doi.org/10.1088/2057-1976/acdbd0 [PDF download]

Soylu, F. (2023). Theoretical and Educational Challenges with Enactivist Approaches to Mathematical Cognition. Constructivist Foundations, 18(2), 245-247. https://constructivist.info/18/2/245 [PDF download]

Salehzadeh, R.*, Rivera, B., Man, K., Jalili, N., & Soylu, F. (2023). EEG Decoding of Finger Numeral Configurations with Machine Learning. Journal of Numerical Cognition, 9(1), 206-221. https://doi.org/10.5964/jnc.10441 [PDF download]

Webber, W.B.*, Soylu, F., & Burnham, J.J. (2023). Stereotyping among graduate students in mental health fields: An EEG study. Journal of Mental Health Counseling, 45(1), 74-92. https://doi.org/10.17744/mehc.45.1.05 [PDF download]

Anchan, M.*,& Soylu, F. (2023). Language Matters: Mathematical Learning and Cognition in Bilingual Children. In Katherine M. Robinson, Donna Kotsopoulos, & Adam Dubé (Eds.). Mathematical Learning and Cognition in Middle Childhood and Early Adolescence: Integrating Interdisciplinary Research into Practice. New York City, New York: Springer Publishing [PDF download]

Soylu, F. (2022). Eğitimsel Sinirbilim Araştırma Metodları (Educational Neuroscience Research Methods). In E. Keleş (Ed.) Eğitimsel Sinirbilim [In Turkish]. Nobel Yayıncılık [PDF download]

Rivera, B.*, & Soylu, F. (2021). Incongruity in Fraction Verification Elicits N270 And P300 ERP Effects. Neuropsychologia, 161(August), 108015. https://doi.org/10.1016/j.neuropsychologia.2021.108015 [PDF download]

Suárez Pellicioni, M., Soylu, F., & Booth, J. (2021). Gray matter volume in left inferior parietal sulcus predicts longitudinal gains in subtraction skill in elementary school. Neuroimage, 235 (April), 118021. https://doi.org/10.1016/j.neuroimage.2021.118021 [PDF download]

Newman, S., Loughery, E., Ecklund, A., You, C., Von Werder, H., & Soylu, F. (2021). Structured versus free block play: the impact on arithmetic processing. Trends in Neuroscience and Education, 100146. https://doi.org/10.1016/j.tine.2020.100146 [PDF download]

Soylu, F. (2020). Matematik Öğrenme Güçlüğünün (Diskalkulinin) Beyinsel ve Kalıtımsal Temelleri [The Neural and Hereditary Foundations of Mathematical Learning Difficulties (Dyscalculia)]. In Yilmaz Mutlu, Sinan Olkun, Levent Akgun, & Mehmet Hayri Sari (Eds.) Diskalkuli: Matematik Öğrenme Güçlüğü. Pegem Akademi, Ankara [PDF download]

Han, H., Lee, K.†, & Soylu, F.† (2020). Applying the Deep Learning Method for Simulating Outcomes of Educational Interventions. SN Computer Science, 1(2), 1-14. †Authors contributed equally. https://doi.org/10.1007/s42979-020-0075-z [PDF download]

Soylu, F.† & Newman, S. D.† (2020). Editorial: Towards an Understanding of the Relationship Between Spatial Processing Ability and Numerical and Mathematical Cognition. Frontiers in Psychology, Cognition. †Authors contributed equally. https://doi.org/10.3389/fpsyg.2020.00014 [PDF download]

Han, H.† & Soylu, F.†, & Anchan, M.* (2019). Connecting Levels of Analysis in Educational Neuroscience. Trends in Neuroscience and Education, 17. †Authors contributed equally. https://doi.org/10.1016/j.tine.2019.100113 [PDF download]

Soylu, F., Rivera, B.*, Anchan, M.*, & Shannon, N.* (2019). ERP differences in processing canonical and noncanonical finger-numeral configurations. Neuroscience Letters, 705, 74–79. https://doi.org/10.1016/j.neulet.2019.04.032 [PDF download]

Soylu, F. (2019). Public dataset: ERP differences in processing canonical and noncanonical finger-numeral configurations, Harvard Dataverse. https://doi.org/10.7910/DVN/BNNSRG

Soylu, F., Seo, R., Newman, M., & Newman, S. D. (2019). Gray Matter Correlates of Finger Gnosis in Children: A VBM Study. Neuroscience, 404, 82–90. https://doi.org/10.1016/j.neuroscience.2019.01.032 [PDF download]

Soylu, F., Lester, F., & Newman, S. (2018). You can count on your fingers: The role of fingers in early mathematical development. Journal of Numerical Cognition, 4(1), 107–135. https://doi.org/10.5964/jnc.v4i1.85 [PDF download]

Han, H., Lee, K., & Soylu, F. (2018). Simulating outcomes of interventions using a ​multipurpose simulation program based on the evolutionary causal matrices and Markov chain. Knowledge and Information Systems, 18(2), 223-227. https://doi.org/10.1007/s10115-017-1151-0 [PDF download]

Soylu, F., Raymond, D.R., Gutierrez, A.M., & Newman, S.D. (2018). The differential relationship between finger gnosis, and addition and subtraction: an fMRI study. Journal of Numerical Cognition, 3(3), 694–715. https://doi.org/10.5964/jnc.v3i3.102 [PDF download]

Mutlu, Y. & Soylu, F. (2018) Eğitsel sinirbilim ve bedenlenmiş biliş perspektifinden matematik öğrenme güçlüğü yaşayan öğrencilerde parmakla sayma [Finger counting habits of children with mathematics learning difficulty: An educational neuroscience perspective]. Bilim, Eğitim ve Sanat Araştırmaları – Fen Bilimleri ve Matematik [in Turkish]. Nobel Akademik Yayıncılık, Ankara. [PDF download]

*Rivera, B., & Soylu, F. (2018). Semantic Processing in Fraction Comparison: An ERP Study. Paper presentation at the 40th Annual Conference of the Cognitive Science Society. Madison, WI: July, 2018 [PDF download]

Soylu, F., Holbert, N., Brady, C., & Wilensky, U. (2017). Embodied perspective taking in learning about complex systems. Journal of Interactive Learning Research. 28(3), 269-303. https://www.learntechlib.org/primary/p/174886/ [PDF download]

Han, H., Lee, K., & Soylu F. (2016). Predicting long-term outcomes of educational interventions using the evolutionary causal matrices and Markov chain. Trends in Neuroscience and Education, 5(4), 157–165. https://doi.org/10.1016/j.tine.2016.11.003 [PDF download]

Soylu, F. (2016). An embodied approach to understanding: Making sense of the world through simulated bodily activity. Frontiers in Psychology, 7:1914. https://doi.org/10.3389/fpsyg.2016.01914 [PDF download]

Soylu, F., Newman, S.D. (2016). Anatomically ordered tapping interferes more with one-digit addition than two-digit – A Dual-Task fMRI Study. Cognitive Processing. 17(1), 67–77. https://doi.org/10.1007/s10339-015-0737-2 [PDF download]

Brady, C., Holbert, N., Soylu, F., Novak, M., & Wilensky, U. (2015). Sandboxes for model-based inquiry. Journal of Science Education and Technology, 24(2-3), 265-286. https://doi.org/10.1007/s10956-014-9506-8 [PDF download]

Newman, S.D., Soylu F. (2014). The impact of finger counting habits on arithmetic in adults and children. Psychological Research, 78(4), 549–56. https://doi.org/10.1007/s00426-013-0505-9 [PDF download]

Soylu, F., Brady, C., Holbert, N., Wilensky, U. (2014). The thinking hand: Embodiment of tool use, social cognition and metaphorical thinking and implications for learning design. Paper presented at the 2014 AERA (American Educational Research Association) Annual Meeting (SIG - Brain, Neurosciences, and Education), Philadelphia, PA: April, 2014. [PDF download]

Hickey, D.T., Soylu, F. (2012). Wikifolios, reflections, and exams for online engagement, understanding, and achievement. Journal of Teaching and Learning with Technology, 1(1), 64-71. https://scholarworks.iu.edu/journals/index.php/jotlt/article/view/2045 [PDF download]

Soylu, F. (2011). Mathematical cognition as embodied simulation. Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: July, 2011.[PDF download]

Soylu, F. & Newman, S. D. (2011). Is arithmetic embodied? Differential interference of sequential finger tapping on addition during a dual-task paradigm. Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: July, 2011.

Yalvac, B., Ayar, M. C., & Soylu, F. (2012). Teaching engineering with wikis. International Journal of Engineering Education, 28(3), 701. https://pdfs.semanticscholar.org/75a0/173408a96f770070d3f36785f8c04911e1e9.pdf [PDF download]

Yalvac, B., Soylu, F., & Arikan, A., (2011). Embodied cognition and education. ETHOS: Dialogues in Philosophy and Social Science, 4(1), 1-20. http://www.ethosfelsefe.com/ethosdiyaloglar/main/?page=read&id=78 [PDF download]

Millard, M., & Soylu, F. (2009). An embodied approach for engaged interaction in ubiquitous computing. In J. Jacko (Ed.), Proceedings of the 13th International Human-Computer Interaction Conference. (Vol. 5612, pp. 464-472). San Diego, CA: Springer Berlin Heidelberg. [PDF download]

Soylu, F. (2009). Academics’ views and uses of Wikipedia. Gnovis Journal, 9(2). http://www.gnovisjournal.org/2009/05/13/academics-views-and-uses-wikipedia/ [PDF download]

Soylu, F. (2009). Designing online learning communities: Lessons from Eksisözlük. European Journal of Open Distance and E–Learning, 12(2), 1–10. https://eric.ed.gov/?id=EJ911764 [PDF download]