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2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)最新文献

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Multi-Domain SystemC model of 128-channel time-multiplexed neural interface front-end 128通道时复用神经接口前端的多域系统模型
K. Wirianto, A. Zjajo, C. Galuzzi, R. V. Leuken
A SystemC Multi-Domain Virtual Prototype (MDVP) framework provides multi-domain system integration of multi-electrode neural interface and a fast validation time, offering more efficient design process. In this paper, we propose efficient neuron cell, neuron tissue, and multi-channel neural interface front-end models implemented in a SystemC MDVP framework, which supports chemical, biological, and electrical domain modeling and simulation. The proposed model offers advantages for designers not only in reducing the design time, but also regarding the system integration. We make use of 8×16-channel front-end recording circuits to implement a 128-channel time-multiplexed neural interface front-end model. These models are verified with realistic simulation settings and appropriate input signals.
SystemC多域虚拟样机(MDVP)框架提供了多电极神经接口的多域系统集成和快速的验证时间,提供了更高效的设计过程。在本文中,我们提出了在SystemC MDVP框架中实现的高效神经元细胞,神经元组织和多通道神经接口前端模型,该模型支持化学,生物和电领域建模和仿真。该模型不仅在缩短设计时间方面具有优势,而且在系统集成方面也具有优势。我们利用8×16-channel前端记录电路实现了128通道时复用神经接口前端模型。这些模型用真实的仿真设置和适当的输入信号进行了验证。
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2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)
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