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Si elegans: Hardware architecture and communications protocol

机译:元素:硬件体系结构和通信协议

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The hardware layer of the Si elegans EU FP7 project is a massively parallel architecture designed to accurately emulate the C. elegans nematode in biological real-time. The C. elegans nematode is one of the simplest and well characterized Biological Nervous Systems (BNS) yet many questions related to basic functions such as movement and learning remain unanswered. The hardware layer includes a Hardware Neural Network (HNN) composed of 302 FPGAs (one per neuron), a Hardware Muscle Network (HMN) composed of 27 FPGAs (one per 5 muscles) and one Interface Manager FPGA, which is physically connected through 2 Local Area Networks (LANs) and through an innovative 3D optical connectome. Neuron structures (gap junctions and synapses) and muscles are modelled in the design environment of the software layer and their simulation data (spikes, variable values and parameters) generate data packets sent across the Local Area Networks (LAN). Furthermore, a software layer gives the user a set of design tools giving the required flexibility and high level hardware abstraction to design custom neuronal models. In this paper the authors present an overview of the hardware layer, connections infrastructure and communication protocol.
机译:Si elegans EU FP7项目的硬件层是大规模并行体系结构,旨在准确地实时模拟线虫线虫。秀丽隐杆线虫是最简单且特征充分的生物神经系统(BNS)之一,但与运动和学习等基本功能有关的许多问题仍未得到解答。硬件层包括一个由302个FPGA组成的硬件神经网络(HNN)(每个神经元一个),一个由27个FPGA组成的硬件肌肉网络(HMN)(每5个肌肉一个)和一个Interface Manager FPGA,它们通过2个物理连接局域网(LAN)和创新的3D光学连接器。在软件层的设计环境中对神经元结构(间隙连接和突触)和肌肉进行建模,它们的模拟数据(峰值,变量值和参数)生成跨局域网(LAN)发送的数据包。此外,软件层为用户提供了一组设计工具,这些工具提供了设计定制神经元模型所需的灵活性和高级硬件抽象。在本文中,作者概述了硬件层,连接基础结构和通信协议。

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