从感知到行动:鸽子的脑际信息传递

IF 4.9 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Lifang Yang, Long Yang, Haofeng Wang, Mengmeng Li, Zhigang Shang
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引用次数: 0

摘要

随着脑机接口技术的蓬勃发展,不同生物体之间的脑-脑信息传输近年来受到高度关注。然而,具体的信息传输模式和实现技术还有待进一步研究。本文基于神经信息解码和电刺激编码技术,构建了鸽子之间的脑-脑信息传输系统。我们的系统由三部分组成:(1)"感知鸽 "学习分辨两种不同频率的视觉刺激;(2)计算机根据 "感知鸽 "记录的神经信号,通过频率识别算法对刺激进行解码(神经信息解码),并编码成不同种类的电脉冲;(3)"行动鸽 "接收皮层内微刺激(ICMS),并通过分辨学习执行相应的啄键动作(电刺激编码)。实验结果表明,我们的脑对脑系统实现了两只鸽子从感知到行动的信息传递,平均准确率约为 72%。我们的研究验证了基于神经信息解码和ICMS编码的脑间信息传输的可行性,为脑间通讯技术的发展提供了重要的技术方法和实验方案参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From Perception to Action: Brain-to-Brain Information Transmission of Pigeons

From Perception to Action: Brain-to-Brain Information Transmission of Pigeons

Along with the flourishing of brain-computer interface technology, the brain-to-brain information transmission between different organisms has received high attention in recent years. However, specific information transmission mode and implementation technology need to be further studied. In this paper, we constructed a brain-to-brain information transmission system between pigeons based on the neural information decoding and electrical stimulation encoding technologies. Our system consists of three parts: (1) the “perception pigeon” learns to distinguish different visual stimuli with two discrepant frequencies, (2) the computer decodes the stimuli based on the neural signals recorded from the “perception pigeon” through a frequency identification algorithm (neural information decoding) and encodes them into different kinds of electrical pulses, (3) the “action pigeon” receives the Intracortical Microstimulation (ICMS) and executes corresponding key-pecking actions through discriminative learning (electrical stimulation encoding). The experimental results show that our brain-to-brain system achieves information transmission from perception to action between two pigeons with the average accuracy of about 72%. Our study verifies the feasibility of information transmission between inter-brain based on neural information decoding and ICMS encoding, providing important technical methods and experimental program references for the development of brain-to-brain communication technology.

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来源期刊
Journal of Bionic Engineering
Journal of Bionic Engineering 工程技术-材料科学:生物材料
CiteScore
7.10
自引率
10.00%
发文量
162
审稿时长
10.0 months
期刊介绍: The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to: Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion. Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials. Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices. Development of bioinspired computation methods and artificial intelligence for engineering applications.
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