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The cerebellum chip: an analog VLSI implementation of a cerebellar model of classical conditioning

机译:小脑芯片:一种模拟VLSI的古典调理模型的实现

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We present a biophysically constrained cerebellar model of classical conditioning, implemented using a neuromorphic analog VLSI (aVLSI) chip. Like its biological counterpart, our cerebellar model is able to control adaptive behavior by predicting the precise timing of events. Here we describe the functionality of the chip and present its learning performance, as evaluated in simulated conditioning experiments at the circuit level and in behavioral experiments using a mobile robot. We show that this aVLSI model supports the acquisition and extinction of adaptively timed conditioned responses under real-world conditions with ultra-low power consumption.
机译:我们介绍了使用神经形态模拟VLSI(AVLSI)芯片实施的古典调理的生物物理受约束的大脑模型。 与其生物对应物一样,我们的小脑模型能够通过预测事件的精确时间来控制自适应行为。 在这里,我们描述了芯片的功能并呈现其学习性能,如在电路电平的模拟调节实验和使用移动机器人的行为实验中评估的。 我们表明,该AVLSI模型支持采购和灭绝在具有超低功耗的现实条件下自适应定时条件响应。

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