Interfacing a salamander brain with a salamander-like robot: Control of speed and direction with calcium signals from brainstem reticulospinal neurons

Dimitri Ryczko, R. Thandiackal, A. Ijspeert
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引用次数: 9

Abstract

An important topic in designing neuroprosthetic devices for animals or patients with spinal cord injury is to find the right brain regions with which to interface the device. In vertebrates, an interesting target could be the reticulospinal (RS) neurons, which play a central role in locomotor control. These brainstem cells convey the locomotor commands to the spinal locomotor circuits that in turn generate the complex patterns of muscle contractions underlying locomotor movements. The RS neurons receive direct input from the Mesencephalic Locomotor Region (MLR), which controls locomotor initiation, maintenance, and termination, as well as locomotor speed. In addition, RS neurons convey turning commands to the spinal cord. In the context of interfacing neural networks and robotic devices, we explored in the present study whether the activity of salamander RS neurons could be used to control off-line, but in real time, locomotor speed and direction of a salamander robot. Using a salamander semi-intact preparation, we first provide evidence that stimulation of the RS cells on the left or right side evokes ipsilateral body bending, a crucial parameter involved during turning. We then identified the RS activity corresponding to these steering commands using calcium (Ca2+) imaging of RS neurons in an isolated brain preparation. Then, using a salamander robot controlled by a spinal cord model, we used the ratio of RS Ca2+ signals on left and right sides to control locomotion direction by modulating body bending. Moreover, we show that the robot locomotion speed can be controlled based on the amplitude of the Ca2+ response of RS cells, which is controlled by MLR stimulation strength as recently demonstrated in salamanders.
将蝾螈大脑与类似蝾螈的机器人连接起来:用脑干网状脊髓神经元的钙信号控制速度和方向
为动物或脊髓损伤患者设计神经修复装置的一个重要课题是找到与该装置连接的右脑区域。在脊椎动物中,一个有趣的目标可能是网状脊髓(RS)神经元,它在运动控制中起着核心作用。这些脑干细胞将运动指令传递给脊髓运动回路,从而产生运动运动背后复杂的肌肉收缩模式。RS神经元接受来自中脑运动区(MLR)的直接输入,该区域控制运动的开始、维持和终止以及运动速度。此外,RS神经元向脊髓传递转向指令。在神经网络与机器人设备接口的背景下,我们探索了蝾螈RS神经元的活动是否可以用于离线但实时地控制蝾螈机器人的运动速度和方向。使用半完整的蝾螈制备,我们首先提供证据表明,刺激左侧或右侧的RS细胞会引起同侧身体弯曲,这是转弯过程中涉及的一个关键参数。然后,我们使用钙(Ca2+)成像在分离的大脑制备中识别出与这些转向命令相对应的RS活性。然后,我们利用一个由脊髓模型控制的蝾螈机器人,利用左右两侧RS Ca2+信号的比例,通过调节身体弯曲来控制运动方向。此外,我们表明机器人的运动速度可以根据RS细胞Ca2+响应的振幅来控制,这是由MLR刺激强度控制的,最近在蝾螈中得到了证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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