Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems

Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems
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动态脑机接口:大脑与动力系统之间双向交互的新范例

DOI:
10.1109/iembs.2011.6091137
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发表时间:
2011
期刊:
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
A. Vato
A. Vato
中科院分区:
--
文献类型:
--
作者:
Francois D. Szymanski;M. Semprini;F. Mussa;L. Fadiga;S. Panzeri;A. Vato

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脑机接口(bmi)是大脑和人工设备之间的通信中介系统。他们的长期目标是恢复运动功能,这最终需要新一代双向脑机接口的发展,通过解码神经活动的运动命令和通过电刺激向大脑提供反馈,建立一个双向的脑-世界通信通道。从脊椎动物的脊髓如何调节大脑和四肢之间的交流中获得灵感,我们在这里提出了一个双向脑机接口模型,该模型通过产生以力场形式的控制策略与动态系统相互作用。在我们的模型中,双向通信通过两个要素发生:(a)运动接口解码从运动皮质区记录的活动,(b)感觉接口将受控设备的状态编码为传递给体感觉区域的电刺激。我们提出了一个特定的数学模型的感觉和运动界面引导一个点质量在粘性介质中移动,我们证明了它的性能,通过测试它在现实模拟的神经反应。
Brain-Machine Interfaces (BMIs) are systems which mediate communication between brains and artificial devices. Their long term goal is to restore motor functions, and this ultimately demands the development of a new generation of bidirectional brain-machine interfaces establishing a two-way brain-world communication channel, by both decoding motor commands from neural activity and providing feedback to the brain by electrical stimulation. Taking inspiration from how the spinal cord of vertebrates mediates communication between the brain and the limbs, here we present a model of a bidirectional brain-machine interface that interacts with a dynamical system by generating a control policy in the form of a force field. In our model, bidirectional communication takes place via two elements: (a) a motor interface decoding activities recorded from a motor cortical area, and (b) a sensory interface encoding the state of the controlled device into electrical stimuli delivered to a somatosensory area. We propose a specific mathematical model of the sensory and motor interfaces guiding a point mass moving in a viscous medium, and we demonstrate its performance by testing it on realistically simulated neural responses.
DOI: 10.1126/science.1857964
发表时间: 1991-07-19
期刊: SCIENCE
影响因子: 56.9
作者:
BIZZI, E;MUSSAIVALDI, FA;GISZTER, S
通讯作者: GISZTER, S