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Dendritic arborizations of many neurons are patterned by a process called self-avoidance, in which branches arising from a single neuron repel each other. By minimizing gaps and overlaps within theExpand
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Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function
This note addresses the adaptive consensus problem of first-order and second-order linearly parameterized multi-agent systems with unknown identical control directions under the assumption that the interconnection topology is undirected and connected. Expand
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Decentralized event-triggered consensus for linear multi-agent systems under general directed graphs
We propose a decentralized event-triggered consensus controller (ETCC) for each agent to achieve consensus, without requiring continuous communication among agents. Expand
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Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays
For the first time, this paper addresses the problem of adaptive output-feedback control for a class of uncertain stochastic nonlinear strict-feedbacks with time-varying delays using neural networks. Expand
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Single-Cell Identity Generated by Combinatorial Homophilic Interactions between α, β, and γ Protocadherins
Individual mammalian neurons stochastically express distinct repertoires of α, β, and γ protocadherin (Pcdh) proteins, which function in neural circuit assembly. We report that all three subfamiliesExpand
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Identification and validation of PDGF transcriptional targets by microarray-coupled gene-trap mutagenesis
We developed a versatile, high-throughput genetic screening strategy by coupling gene mutagenesis and expression profiling technologies. Using a retroviral gene-trap vector optimized for efficientExpand
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Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections
  • W. Chen, J. Li
  • Computer Science, Medicine
  • IEEE Transactions on Systems, Man, and…
  • 1 February 2008
An adaptive backstepping neural-network control approach is extended to a class of large-scale output-feedback systems with completely unknown and mismatched interconnections. Expand
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Event-triggered zero-gradient-sum distributed consensus optimization over directed networks
This paper focuses on the event-triggered zero-gradient-sum algorithms for a distributed convex optimization problem over directed networks. Expand
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Thoracic impact testing of pediatric cadaveric subjects.
BACKGROUND This study aimed to describe the injury mechanism of children's thorax in frontal impact and provide an injury threshold. METHODS Nine unembalmed cadavers were divided into two groups. AExpand
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Finite-time stability theorem of stochastic nonlinear systems
A new concept of finite- time stability, called stochastically finite-time attractiveness, is defined for a class of stochastic nonlinear systems described by the Ito differential equation. Expand
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