Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.

Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.
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DOI:
10.3389/fncom.2014.00141
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发表时间:
2014
影响因子:
3.2
通讯作者:
Sanger TD
Sanger TD
中科院分区:
医学4区
文献类型:
--
作者:
Niu CM;Nandyala SK;Sanger TD

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缺乏多尺度经验测量(例如,从神经元、肌肉、全身等同时记录)使对人类感觉运动功能的理解复杂化。对儿童时期发展的理解尤其如此,这需要对多年的衡量标准进行评估。我们开发了一个模拟脊椎动物感觉运动系统多尺度活动的综合平台。我们的设计得益于超大规模集成电路(VLSI)技术,提供了相当大的可扩展性和高速,比实时快365倍。我们设计的一个重要组件是本体感觉传感器,即肌梭。在这里,我们演示了一个准确和极快的肌梭和它的尖峰传入的仿真,这在计算上很昂贵,但对于反射功能来说是基本的。我们实现了一个众所周知的基于比率的纺锤体模型(Mileusnic等人)和一个简化的尖峰感觉神经元模型,使用Izhikevich近似Hodgkin-Huxley模型。我们传入感觉系统的结果行为与经典的猫比目鱼肌记录(Crowe and Matthews,;Matthews,)定性地兼容。我们的结果表明,纺锤体和传入神经元的这种简化结构足以产生生理现实行为。VLSI技术使我们可以将这一行为的实时速度提高到365倍以上。我们的目标是使用这个试验台来预测几年的疾病进展,只需几天的模拟。这是第一次对主轴传入系统进行硬件仿真,不仅可以应用于人类健康和疾病的仿真,还可以用于构建符合神经形态的机器人系统。
The lack of multi-scale empirical measurements (e.g., recording simultaneously from neurons, muscles, whole body, etc.) complicates understanding of sensorimotor function in humans. This is particularly true for the understanding of development during childhood, which requires evaluation of measurements over many years. We have developed a synthetic platform for emulating multi-scale activity of the vertebrate sensorimotor system. Our design benefits from Very Large Scale Integrated-circuit (VLSI) technology to provide considerable scalability and high-speed, as much as 365× faster than real-time. An essential component of our design is the proprioceptive sensor, or muscle spindle. Here we demonstrate an accurate and extremely fast emulation of a muscle spindle and its spiking afferents, which are computationally expensive but fundamental for reflex functions. We implemented a well-known rate-based model of the spindle (Mileusnic et al.,) and a simplified spiking sensory neuron model using the Izhikevich approximation to the Hodgkin–Huxley model. The resulting behavior of our afferent sensory system is qualitatively compatible with classic cat soleus recording (Crowe and Matthews,; Matthews,). Our results suggest that this simplified structure of the spindle and afferent neuron is sufficient to produce physiologically-realistic behavior. The VLSI technology allows us to accelerate this behavior beyond 365× real-time. Our goal is to use this testbed for predicting years of disease progression with only a few days of emulation. This is the first hardware emulation of the spindle afferent system, and it may have application not only for emulation of human health and disease, but also for the construction of compliant neuromorphic robotic systems.
DOI: 10.1113/jphysiol.1948.sp004260
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