控制腿部运动的可编程硅神经元阵列

F. Tenore, R. Etienne-Cummings, M. Lewis
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引用次数: 46

摘要

大多数自然运动系统的生物学基础是中枢模式发生器(CPG)。CPG是在脊髓中发现的一组神经回路,它们被安排产生振荡的周期性波形,以协调的方式激活肌肉。第二代VLSI CPG仿真芯片-具有更多和改进的神经元,增强的灵活性和更高程度的可编程性-已经开发出来,通过集成与发射(IF)硅神经元的耦合,同步芯片产生的不同频率和相位的振荡器。这些振子通过中频神经元设置振子之间的特定相位差来控制机器人肢体的运动。详细研究了芯片的结构,并描述了产生运动所需波形的人工神经网络的构造和实现。
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A programmable array of silicon neurons for the control of legged locomotion
The biological foundation of most natural locomotory systems is the central pattern generator (CPG). The CPG is a set of neural circuits found in the spinal cord, arranged to produce oscillatory periodic waveforms that activate muscles in a coordinated manner. A 2nd generation VLSI CPG emulator chip - with more and improved neurons, enhanced flexibility, and a higher degree of programmability - has been developed to synchronize oscillators with different frequencies and phases, also produced by the chip, through the coupling of integrate-and-fire (IF) silicon neurons. These oscillators are then used to control the movement of robot's limbs by using the IF neurons to set a specific phase difference between the oscillators. The chip's architecture is examined in detail, and the construction and implementation of the artificial neural networks that produce the waveforms required for locomotion is described.
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