This is a basic science training grant focused on an integrative understanding of post- natal human behavioral development. The rationale for the focus on integrative training is that effective translation requires more than merely rapid movement of single-variable basic science findings to efficacy studies but a different basic science, one that embraces complex causal pathways of development, and considers processes at nested time scales and multiple levels of analysis. The training program focuses on behavioral development (and relations to brain development) because advancing research shows that post-natal behavior and experience modulates both structural and functional connectivity in the brain, tunes specialized neural systems and influences gene expression, with atypical patterns of early behavior and experiences determining the quality and opportunities of whole lifetimes. The trainees are 5 predoctoral candidates in psychology, cognitive science, and neuroscience and 3 postdoctoral fellows from various fields interested in developmental process. The training program for predoctoral trainees is 5 years (with 2 years supported by the training grant and 3 years by the participating PhD programs); the training program for postdoctoral trainees is typically 2 years. The training program emphasizes the use of cross-level methods to study the same problem, basic science that can link to translation, the collection and analysis of large data sets, open data and data sharing, and the ethical conduct of research.
The Integrative Training Program in Developmental Process trains researchers in typical and atypical patterns of behavioral and brain development, with the goal of understanding how early achievements in that process (for example, motor development, language learning) set the stage for and support later achievements (for example, in sustained attention, behavioral control, school success). By understanding how development builds on itself and the potentially multiple pathways to healthy developmental outcomes, we may foster healthy outcomes in children facing challenges from poverty, from sensory-motor disabilities, and from developmental disorders such as autism.
| Smith, Linda B; Jayaraman, Swapnaa; Clerkin, Elizabeth et al. (2018) The Developing Infant Creates a Curriculum for Statistical Learning. Trends Cogn Sci 22:325-336 |
| Borjon, Jeremy I; Schroer, Sara E; Bambach, Sven et al. (2018) A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras. J Vis Exp : |
| Slone, Lauren K; Moore, David S; Johnson, Scott P (2018) Object exploration facilitates 4-month-olds' mental rotation performance. PLoS One 13:e0200468 |
| Byrge, Lisa; Kennedy, Daniel P (2018) Identifying and characterizing systematic temporally-lagged BOLD artifacts. Neuroimage 171:376-392 |
| Carvalho, Paulo F; Vales, Catarina; Fausey, Caitlin M et al. (2018) Novel names extend for how long preschool children sample visual information. J Exp Child Psychol 168:1-18 |
| Slone, Lauren K; Johnson, Scott P (2018) When learning goes beyond statistics: Infants represent visual sequences in terms of chunks. Cognition 178:92-102 |
| Montag, Jessica L; Jones, Michael N; Smith, Linda B (2018) Quantity and Diversity: Simulating Early Word Learning Environments. Cogn Sci 42 Suppl 2:375-412 |
| Smith, Linda B; Slone, Lauren K (2017) A Developmental Approach to Machine Learning? Front Psychol 8:2124 |
| Clerkin, Elizabeth M; Hart, Elizabeth; Rehg, James M et al. (2017) Real-world visual statistics and infants' first-learned object names. Philos Trans R Soc Lond B Biol Sci 372: |
| Slone, Lauren K; Sandhofer, Catherine M (2017) Consider the category: The effect of spacing depends on individual learning histories. J Exp Child Psychol 159:34-49 |
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