• Abney, D., Suanda, S., Smith, L. B. & Yu, C. (in press) What are the building blocks of parent-infant coordinated attention in free-flowing interaction? Infancy.

  • Aminmansour, F. ... Pestilli, F. et. al. (2019) Learning macroscopic brain connectomes via group-sparse factorization. 33rd Conference on Neural Information Processing Systems, Vancouver, Canada.

  • Avesani, P. ... Pestilli, F. et. al. (2019) The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Scientific Data 6, article number: 69.

  • Suarez-Rivera, C., Smith, L. B. & Yu, C. (2019) Multimodal parent behaviors within joint attention support sustained attention in infants. Developmental Psychology, 55(1), 96-109. PMID: 30489136 PMCID: PMC6296904

  • Vinci-Booher, S., Cheng, H. & James, K. H. (2019) An analysis of the brain systems involved with producing letters by hand. Journal of Cognitive Neuroscience, 31(1), 138-154.

  • Yuan, L., Xu, T. L., Yu, C. & Smith, L. B. (2019) Sustained Visual Attention is More Than Seeing. Journal of Experimental Child Psychology, 179, 324-336.

  • Kim, D.J., Davis, E.P., Sandman, C.A., Glynn, L., Sporns, O., O’Donnell, B.F. & Hetrick, W.P. (2019) Childhood poverty and the organization of the structural brain connectome. Neuroimage, 184, 409-416.

  • Kim, D.J., Schnakenberg, A.M., Shin, Y.W., Jo, H.J., Cheng, H,. Newman, S.D., Sporns, O., Hetrick, W.P., Calkins, E. & O’Donnell, B.F. (2019) Aberrant structural–functional coupling in adult cannabis users. Human Brain Mapping 40, 252-261.

  • Mannering, W. M. & Jones, M. N. (2019). Insulating distributional semantic models from catastrophic interference. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.

  • Jones, M. N., & Avery, J. E. (2019). Semantic Memory.In Oxford Bibliographies in Psychology. Dana S. Dunn (Ed). New York: Oxford University Press.

  • Jamieson, R. K., Johns, B. T., Avery, J. E., & Jones, M. N. (2018) An instance theory of semantic memory. Computational Brain & Behavior.

  • Fukushima, M. & Sporns, O. (2018) Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity. PLOS Computational Biology, 14, e1006497.

  • Faskowitz, J., Yan, X., Zuo, X.N. & Sporns, O. (2018) Weighted stochastic block models of the human connectome across the life span. Scientific Reports, 8, 12997.

  • Swanson, L.W., Hahn, J.D., Jeub, L., Fortunato, S. & Sporns, O. (2018) Subsystem organization of axonal connections within and between the right and left cerebral cortex and cerebral nuclei (endbrain). Proceedings National Academy of Sciences, 115, E6910-E6919.

  • Sporns, O. (2018) Graph theory methods: applications in brain networks. Dialogues in Clinical Neuroscience, 20, 111-121.

  • Misic, B., Betzel, R.F., Griffa, A., de Reus, M.A., He, Y., Zuo, X.N., van den Heuvel, M.P., Hagmann, P., Sporns, O. & Zatorre, R.J. (2018) Network-based asymmetry of the human auditory system. Cerebral Cortex 28, 2655-2664.

  • Rosenthal, G., Vasa, F., Griffa, A., Hagmann, P., Amico, E., Goni, J., Avidan, G. & Sporns, O. (2018) Mapping higher-order relations between brain structure and function with embedded vector representations of connectomes. Nature Communications 9, 2178.

  • He, Y., Lim, S., Fortunato, S., Sporns, O., Zhang, L., Qiu, J., Xie, P. & Zuo XN (2018) Reconfiguration of cortical networks in MDD uncovered by multiscale community detection with fMRI. Cerebral Cortex 28, 1383-1395.

  • Saggar, M., Sporns, O., Gonzalez-Castillo, J., Bandettini, P.A., Carlsson, G., Glover, G. & Reiss, A.L. (2018) Towards a new approach to reveal dynamical organization of the brain using topological data analysis. Nature Communications 9, 1399.

  • Fukushima, M., Betzel, R.F., He, Y., van den Heuvel, M.P., Zuo, X.N. & Sporns, O. (2018) Structure-function relationships during segregated and integrated network states of human brain functional connectivity. Brain Structure and Function 223, 1091-1106.

  • Avena-Koenigsberger, A., Misic, B. & Sporns, O. (2018) Communication dynamics in complex brain networks. Nature Reviews Neuroscience 19, 17-33.

  • Fukushima, M., Betzel, R.F., He, Y., de Reus, M.A., van den Heuvel, M.P., Zuo, X.N. & Sporns, O. (2018) Fluctuations between high- and low-modularity topology in time-resolved functional connectivity. Neuroimage 180B, 406-416.

  • Fan, C., Zhang, Z., & Crandall, D. (2018) Deepdiary: Lifelogging image captioning and summarization. Journal of Visual Communication and Image Representation, 55, 40-55.

  • Pena-Gomez, C., Avena-Koenigsberger, A., Sepulcre, J. & Sporns, O. (2018) Spatiotemporal network markers of individual variability in the human functional connectome. Cerebral Cortex 28, 2922-2934.

  • Motz, B.A., Carvalho, P.F., de Leeuw, J.R. & Goldstone, R.L. (2018) Embedding Experiments: Staking Causal Inference in Authentic Educational Contexts. Journal of Learning Analytics 5, no. 2, 47-59.

  • Hawkins, R.X.D., Goodman, N.D. & Goldstone, R.L. (2018) The Emergence of Social Norms and Conventions. Trends in cognitive sciences.

  • Suanda, S. H., Barnhart, M., Smith, L. B. & Yu, C. (2018) The Signal in the Noise: The Visual Ecology of Parents' Object Naming. Infancy, 1-22.

  • Jayaraman, S. & Smith, L. B. (2018) Faces in early visual environments are persistent not just frequent. Vision Research. PMID: 29852210

  • Montag, J. L., Jones, M. N., & Smith, L. B. (2018) Quantity and diversity: Simulating early word learning environments. Cognitive Science, 42 (Suppl. 2), 375-412. PMID: 29411899 PMCID: PMC5980672

  • Takemura, H., Pestilli, F. & Weiner, K. S. (2018) Comparative neuroanatomy: Integrating classic and modern methodsto understand association fibers connecting dorsal and ventralvisual cortex. Neuroscience Research.

  • Slone, L., Abney, D.H., Borjon, J., Chen, C., Franchak, J.M., Pearcy, D., Suarez-Rivera, C., Xu, L., Zhang, Y., Smith, L.B.& Yu, C. (2018) Gaze in Action: Head-mounted Eye-tracking of Children's Dynamic Visual Attention during Naturalistic Behavior Journal of Visualized Experiments, (141), e58496.

  • Borjon, J. I., Abney, D. H., Smith, L. B. & Yu, C. (2018) Developmentally Changing Attractor Dynamics of Manual Actions with Objects in Late Infancy. Complexity, 2018.

  • Borjon, J. I., Schroer, S. E., Bambach, S., Slone, L. K., Abney, D. H., Crandall, D. J., & Smith, L. B. (2018) A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras. JoVE (Journal of Visualized Experiments), (140), e58445-e58445.

  • Munoz-Rubke, F., Olsen, D., Will, R., & James, K.H. (2018) Functional fixedness in tool use: Learning modality, limitations and individual differences. Acta Psychologia, 190: 11-26.

  • Bambach, S., Crandall, D. J., Smith, L. B. & Yu, C. (2018) Toddler-Inspired Visual Object Learning. Advances in Neural Information Processing Systems, 31.

  • Pestilli, F. (2018) Human white matter and knowledge representation PLoS biology, 16(4). PMID:29698391

  • Vinci-Booher, S., Sturgeon, J., James, T. & James, K. H. (2018) The MRItab: A MR-compatible touchscreen with video-display. Journal of Neuroscience Methods, 306, 10-18.

  • Zemlock, D., Vinci-Booher, S. & James, K. H. (2018) Visual-motor symbol production facilitates letter recognition in young children. Reading and Writing, an Interdisciplinary Journal, 31:1255-1271.

  • Smith, L. B., Jayaraman, S., Clerkin, E. & Yu, C. (in press) The Developing Infant Creates a Curriculum for Statistical Learning. Trends in Cognitive Sciences.

  • Xu, M., Sharghi, A., Chen, X. & Crandall, D. (2018) Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. IEEE Winter Conference on Applications of Computer Vision (WACV).

  • Zhang, Z., Bambch, S., Yu, C., Crandall, D.J. (2018) From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video. Proceedings of British Machine Vision Conference (BMVC).

  • Tsutshui, S., Bambch, S., Crandall, D.J. & Yu, C. (2018) Estimating Head Motion from Egocentric Vision. Proceedings of the 2018 on International Conference on Multimodal Interaction (ICMI) .

  • Wakefield, E. M., Hall, C., James, K. H., & Goldin-Meadow, S. (2018) Gesture for generalization: Gesture facilitates flexible learning of words for actions on objects. Developmental Science, Advance Online Publication. doi:10.1111/desc.12656.

  • Jones, M. N. (2018) When does abstraction occur in semantic memory: Insights from distributional models. Language, Cognition and Neuroscience.

  • Dachapally, P. R., & Jones, M. N. (2018) Catastrophic interference in neural embedding models. Proceedings of the 40th Annual Meeting of the 40th Annual Meeting of the Cognitive Science Society.

  • Caron, B., Port, N. & Pestilli, F. (2018) Advanced white matter mapping in the subconcussive brain Neurology 91 (23 Supplement 1), S15-S15.

  • Glozman, T., Bruckert, L., Pestilli, F., Yecies, D. W., Guibas, L. J., & Yeom, K. W. (2018) Framework for shape analysis of white matter fiber bundles. NeuroImage, 167, 466-477.

  • Zemlock, D., Vinci-Booher, S., & James, K.H. (2018) Visual-motor symbol production facilitates letter recognition in young children. Reading & Writing, 31, 1255-1271.

  • Munoz-Rubke, F., Kafadar, K., & James, K.H. (2018) A new statistical model for analyzing rating scale data pertaining to word meaning. Psychological Research, 82(4), 787-805. doi:10.1007/s00426-017-0864-8

  • Yoshimine, S., Ogawa, S., Horiguchi, H. ... Pestilli, F. et al. (2018) Age-related macular degeneration affects the optic radiation white matter projecting to locations of retinal damage. Brain Structure and Function, 223 (8), 3889-3900.

  • Rubin, T. N., Koyejo, O., Gorgolewski, K. J., Jones, M. N., Poldrack, R. A., & Yarkoni, T. (2017) Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. PLOS Computational Biology.

  • James, K.H. (2017) The importance of handwriting experience on the development of the literate brain. Current Directions in Psychological Science, 26(6), 502-508.

  • James, K. H., & Kersey, A. J. (2017) Dorsal stream function in the young child: An fMRI investigation of visually-guided action. Developmental Science, 21(2), 1-16. doi: 10.1111/desc.12546

  • Chen, C., Zhang, Y., & Yu, C. (2017) Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics. Cognitive Science 43, 591-605.

  • Chen, C. & Yu, C. (2017) Grounding Statistical Learning in Context: The Effects of Learning and Retrieval Contexts on Cross-situational Word Learning. Psychonomic Bulletin and Review, 24(3), 920-926.

  • Kachergis, G. , Yu, C. & Shiffrin, R.M. (2017) A bootstrapping model of frequency and context effects in word learning. Cognitive Science, 41(3), 590-622.

  • Bambach, S., Crandall, D.J., Smith, L.B., & Yu, C. (2017) An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers. Proceedings of the Joint IEEE International Conference on Developmental Learning and Epigenetic Robotics.

  • Fan, C., Lee, J., Xu, M., Singh, K. K., Lee, Y. J., Crandall, D. & Ryoo, M. S. (2017) Identifying First-person Camera Wearers in Third-person Videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

  • Bambach, S., Zhang, Z., Crandall, D. & Yu, C. (2017) Exploring Inter-Observer Differences in First-Person Object Views using Deep Learning Models. IEEE International Conference on Computer Vision Workshop on Mutual Benefits of Cognitive and Computer Vision.

  • Yu, C. & Smith, L. B. (2017) Multiple Sensory-Motor Pathways Lead to Coordinated Visual Attention. Cognitive Science. PMID: 27016038

  • Caiafa, C. F., Sporns, O., Saykin, A. J. & Pestilli, F. (2017) Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. NIPS, 2017.

  • Smith, L. B. & Slone, L. K. (2017) A Developmental Approach to Machine Learning? Frontiers in Psychology, 8:2124. PMCID: PMC5723343

  • Clerkin, E. M., Hart, E., Rehg, J. M., Yu, C. & Smith, L. B. (2017) Real-World Visual Statistics and Infants' First-learned Object Names. Philosophical Transactions of the Royal Society B, 372. PMCID: PMC5124080

  • Jayaraman S., Fausey C. & Smith LB (2017) Why are faces denser in the visual experiences of younger than older infants? Developmental Psychology, 53(1), 38-49. PMCID: PMC5271576

  • Caiafa, C. F., & Pestilli, F. (2017). Multidimensional encoding of brain connectomes. Scientific Reports, 7(1), 11491.

  • Goldstone, R. L., Marghetis, T., Weitnauer, E., Ottmar, E. R., & Landy, D. (2017). Adapting perception, action and technology for mathematical reasoning. Current Directions in Psychological Science, 1-8. DOI: d1o0i.1or1g7/170/.01197673/70926134712717410747808488

  • Conference Proceedings

    Vinci-Booher, et al. (2019) The relationship between the microstructure of vertical white matter pathways and behavior in early elementary school children. Poster presented at CDS.

    Vinci-Booher, et al. (2019) Sensorimotor contingency leads to developmental changes in the neural mechanisms supporting visual recognition. Poster presented at the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, USA.

    Tsutsui, et al. (2018) Estimating Head Motion from Egocentric Vision. Presented at the ACM International Conference on Multimodal Interaction.

    Zhang, et al. (2018) From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video. Presented at the British Machine Vision Conference.

    Xu, et al. (2018) Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. Presented at the Eurpean Conference on Computer Science.

    Vinci-Booher, et al. (2018) Visual and Motor Experiences of Handwriting Contribute to Gains in Visual Recognition. Presented at the Annual Meeting of the Vision Sciences Society, St. Pete Beach, FL.

    Vinci-Booher, et al. (2017) The Development of Neural Systems Supporting Handwriting and Letter Perception from Kindergarten to Adulthood. Presented at CDS.

    Slone et al. (2017) The Burstiness of Parents’ Utterances: Classification of Vocal Temporal Structure during Parent-Child Naturalistic Interaction. Presented at bcbl

    Suanda et al. (2016) What's the Relevant Data for Toddlers' Word Learning? Presented at ICIS