Peng Shi

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The ability to pattern multiple bioactive cues on a surface is valuable for understanding how neurons interact with their complex extracellular environment. In this report, we introduce a set of methods for creating such surfaces, with the goals of understanding how developing neurons integrate multiple biologically relevant signals and as a tool for(More)
Assembly of functional neural circuits relies on the ability of axons to navigate a complex landscape of guidance cues in the extracellular environment. In this report, we investigate localized cell signaling in response to these cues by combining a microfabricated compartmentalization chamber with multicomponent, protein-micropatterned surfaces; this(More)
Recreation of neural network in vitro with designed topology is a valuable tool to decipher how neurons behave when interacting in hierarchical networks. In this study, we developed a simple and effective platform to pattern primary neurons in array formats for interrogation of neural circuitry with single cell resolution. Unlike many(More)
Formation of functional motor circuits relies on the ability of distinct spinal motor neuron subtypes to project their axons with high precision to appropriate muscle targets. While guidance cues contributing to motor axon pathfinding have been identified, the intracellular pathways underlying subtype-specific responses to these cues remain poorly(More)
Control of cell migration is important in numerous key biological processes, and is implicated in pathological conditions such as cancer metastasis and inflammatory diseases. Many previous studies indicated that cell migration could be guided by micropatterns fabricated on cell culture surfaces. In this study, we designed a polydimethylsiloxane cell culture(More)
The reconstruction of neural activity across complete neural circuits, or brain activity mapping, has great potential in both fundamental and translational neuroscience research. Larval zebrafish, a vertebrate model, has recently been demonstrated to be amenable to whole brain activity mapping in behaving animals. Here we demonstrate a microfluidic array(More)
A combinatorial approach was used to present primary neurons with a large library of topographical features in the form of micropatterned substrate for high-throughput screening of physical neural-guidance cues that can effectively promote different aspects of neuronal development, including axon and dendritic outgrowth. Notably, the neuronal-guidance(More)
Modeling the dependence among multiple loss triangles has important implications for the determination of loss reserves, a critical element of risk management and capital allocation practices of property-casualty insurers. In this article, we propose a copula regression model for dependent lines of business that can be used to predict unpaid losses and(More)
It is no longer uncommon these days to find the need in actuarial practice to model claim counts from multiple types of coverage, such as the ratemaking process for bundled insurance contracts. Since di↵erent types of claims are conceivably correlated with each other, the mul-tivariate count regression models that emphasize the dependency among claim types(More)
This article examines adverse selection in insurance markets within a two-dimensional information framework, where policyholders differ in both their riskiness and degree of risk aversion. Using this setup, we first build a theoretical model to make equilibrium predictions on competitive insurance screening. We study several variations on the pattern of(More)