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构建一个具有多个相互连接的“大脑”的有机计算设备。

Building an organic computing device with multiple interconnected brains.

作者信息

Pais-Vieira Miguel, Chiuffa Gabriela, Lebedev Mikhail, Yadav Amol, Nicolelis Miguel A L

机构信息

Department of Neurobiology, Duke University, Durham, North Carolina 27710.

1] Department of Neurobiology, Duke University, Durham, North Carolina 27710 [2] Duke Center for Neuroengineering, Duke University, Durham, North Carolina 27710.

出版信息

Sci Rep. 2015 Jul 9;5:11869. doi: 10.1038/srep11869.

Abstract

Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains. Brainets worked by concurrently recording the extracellular electrical activity generated by populations of cortical neurons distributed across multiple rats chronically implanted with multi-electrode arrays. Cortical neuronal activity was recorded and analyzed in real time, and then delivered to the somatosensory cortices of other animals that participated in the Brainet using intracortical microstimulation (ICMS). Using this approach, different Brainet architectures solved a number of useful computational problems, such as discrete classification, image processing, storage and retrieval of tactile information, and even weather forecasting. Brainets consistently performed at the same or higher levels than single rats in these tasks. Based on these findings, we propose that Brainets could be used to investigate animal social behaviors as well as a test bed for exploring the properties and potential applications of organic computers.

摘要

最近,我们提出“脑联网”,即由多个动物大脑组成的网络,通过直接的脑对脑接口实时协作和交换信息,可以构成一种新型计算设备的核心:一台有机计算机。在此,我们描述了首个此类脑联网的实验演示,它由连接四个成年大鼠大脑构建而成。脑联网的工作方式是,通过长期植入多电极阵列,同时记录分布在多只大鼠身上的皮质神经元群体产生的细胞外电活动。实时记录并分析皮质神经元活动,然后使用皮质内微刺激(ICMS)将其传递给参与脑联网的其他动物的体感皮层。利用这种方法,不同的脑联网架构解决了一些有用的计算问题,如离散分类、图像处理、触觉信息的存储和检索,甚至天气预报。在这些任务中,脑联网的表现始终与单只大鼠相同或更高。基于这些发现,我们提出脑联网可用于研究动物社会行为,以及作为探索有机计算机特性和潜在应用的试验台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d260/4497302/4b0764110eed/srep11869-f1.jpg

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