10 papers · ranked by Valyu relevance
Rute A. Tomaz, Ekaterini D. Zacharis, Fabian Bachinger, Annabelle Wurmser + 12 more
Production of large quantities of hepatocytes remains a major challenge for a number of clinical applications in the biomedical field. Directed differentiation of human pluripotent stem cells (hPSC) into hepatocyte-like cells (HLCs) provides an advantageous solution and a number of protocols have been developed for…
Sa Dharmasastha Karthikeya, Prathiba Jonnala
Understanding how cellular identity emerges from regulatory and energetic interactions remains a central question in developmental and synthetic biology. Here, we introduce a computational framework for in silico cellular programming, enabling the simulation of lineage acquisition through gene-regulatory and functional…
Johanna S. Selvaratnam, Juliana Dutra Barbosa da Rocha, Vinothkumar Rajan, Helen Wang + 6 more
γδ T cells that produce IL-17 (γδT17) play essential roles in barrier immunity, but the gene networks that install their functions are not well understood. We previously linked T cell receptor (TCR) signal strength to the proportional upregulation of Id3 during T cell development, which antagonizes the activity of HEB…
Eric Schulz, Joshua B. Tenenbaum, David Duvenaud, Maarten Speekenbrink + 1 more
How do people recognize and learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is achieved by harnessing compositionality: complex structure is decomposed into simpler building blocks. We formalize this idea within the framework of Bayesian…
Eric Schulz, Francisco Quiroga, Samuel J. Gershman
How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one compositional…
Majd Abdallah, Valentin Iovene, Gaston Zanitti, Demian Wassermann
Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis. However, existing meta-analysis tools are limited to investigating simple neuroscience concepts and expressing a restricted range of questions. Here, we expand the scope…
Yun-Fei Liu, Marina Bedny
Programming is a cornerstone of modern society, yet its cognitive and neural basis remains poorly understood. In this study, we test the hypothesis that programming “recycles” pre-existing neural mechanisms and representations in fronto-parietal reasoning networks. Using fMRI, we scanned programming-naïve…
Kathleen S. Dreyer, Anh V. Nguyen, Gauri G. Bora, Lauren E. Redus + 6 more
Genetic programs can direct living systems to perform diverse, pre-specified functions. As the library of parts available for building such programs continues to expand, computation-guided design is increasingly helpful and necessary. Predictive models aid the challenging design process, but iterative simulation and…
Charley M. Wu, Eric Schulz, Samuel J. Gershman
From social networks to public transportation, graph structures are a ubiquitous feature of life. Yet little is known about how humans learn functions on graphs, where relationships are defined by the connectivity structure. We adapt a Bayesian framework for function learning to graph structures, and propose that…
Angela Jones, Eric Schulz, Björn Meder, Azzurra Ruggeri
How do people actively explore to learn about functional rules, that is, how continuous inputs map onto continuous outputs? We introduce a novel paradigm to investigate information search in continuous, multi-feature function learning scenarios. Participants either actively selected or passively observed information to…