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塑造双向神经接口的动力学。

Shaping the dynamics of a bidirectional neural interface.

机构信息

Department of Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia, Genova, Italy.

出版信息

PLoS Comput Biol. 2012;8(7):e1002578. doi: 10.1371/journal.pcbi.1002578. Epub 2012 Jul 19.

Abstract

Progress in decoding neural signals has enabled the development of interfaces that translate cortical brain activities into commands for operating robotic arms and other devices. The electrical stimulation of sensory areas provides a means to create artificial sensory information about the state of a device. Taken together, neural activity recording and microstimulation techniques allow us to embed a portion of the central nervous system within a closed-loop system, whose behavior emerges from the combined dynamical properties of its neural and artificial components. In this study we asked if it is possible to concurrently regulate this bidirectional brain-machine interaction so as to shape a desired dynamical behavior of the combined system. To this end, we followed a well-known biological pathway. In vertebrates, the communications between brain and limb mechanics are mediated by the spinal cord, which combines brain instructions with sensory information and organizes coordinated patterns of muscle forces driving the limbs along dynamically stable trajectories. We report the creation and testing of the first neural interface that emulates this sensory-motor interaction. The interface organizes a bidirectional communication between sensory and motor areas of the brain of anaesthetized rats and an external dynamical object with programmable properties. The system includes (a) a motor interface decoding signals from a motor cortical area, and (b) a sensory interface encoding the state of the external object into electrical stimuli to a somatosensory area. The interactions between brain activities and the state of the external object generate a family of trajectories converging upon a selected equilibrium point from arbitrary starting locations. Thus, the bidirectional interface establishes the possibility to specify not only a particular movement trajectory but an entire family of motions, which includes the prescribed reactions to unexpected perturbations.

摘要

神经信号解码技术的进步使得能够开发接口,将皮质脑活动转换为操作机器人手臂和其他设备的命令。对感觉区域的电刺激提供了一种方法,可以创建关于设备状态的人工感觉信息。总的来说,神经活动记录和微刺激技术使我们能够将中枢神经系统的一部分嵌入闭环系统中,其行为源自其神经和人工组件的组合动力特性。在这项研究中,我们询问是否可以同时调节这种双向脑机交互,从而塑造组合系统的期望动态行为。为此,我们遵循了一条著名的生物学途径。在脊椎动物中,大脑和肢体力学之间的通信是由脊髓介导的,脊髓将大脑指令与感觉信息结合起来,并组织协调的肌肉力量模式,使肢体沿着动态稳定的轨迹运动。我们报告了第一个模拟这种感觉-运动相互作用的神经接口的创建和测试。该接口组织了麻醉大鼠大脑的感觉和运动区域与具有可编程特性的外部动力物体之间的双向通信。该系统包括 (a) 一个从运动皮质区域解码信号的运动接口,以及 (b) 一个将外部物体状态编码为对躯体感觉区域的电刺激的感觉接口。大脑活动与外部物体状态之间的相互作用产生了一组轨迹,从任意起始位置收敛到选定的平衡点。因此,双向接口不仅建立了指定特定运动轨迹的可能性,而且建立了整个运动族的可能性,其中包括对意外扰动的规定反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d74/3400597/f4e9de42b028/pcbi.1002578.g001.jpg

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