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File:A-Novel-Robot-System-Integrating-Biological-and-Mechanical-Intelligence-Based-on-Dissociated-Neural-pone.0165600.s001.ogv

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English: Video of improvement process in the robot’s performance. This video of a differential robot run is running at 3 × real speed. The yellow papers in the middle of the arena are acted as the objects. In the no training phase, the robot controlled by the dissociated neural network makes no correct turn. The increase of correct turn occurs when the high frequency stimuli are added into the dissociated neural network. But there are still some mistakes existing in the first 10 minutes training phase. Further increase of correct turn is observed in the second 10 minutes training phase, which makes the robot closer to the objects as the experiment goes on. All of the improvement in the robot’s performance is independently caused by the plasticity of the dissociated neural network as demonstrated in the Fig 14.
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Source S1 Video from Li Y, Sun R, Wang Y, Li H, Zheng X (2016). "A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment". PLOS ONE. DOI:10.1371/journal.pone.0165600. PMID 27806074. PMC: 5091833.
Author Li Y, Sun R, Wang Y, Li H, Zheng X
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VP9 480P 263 kbps Completed 21:09, 15 August 2018 2 min 2 s
Streaming 480p (VP9) 259 kbps Completed 03:36, 17 December 2023 1.0 s
VP9 360P 104 kbps Completed 21:08, 15 August 2018 1 min 17 s
Streaming 360p (VP9) 100 kbps Completed 17:21, 17 December 2023 1.0 s
VP9 240P 53 kbps Completed 21:07, 15 August 2018 57 s
Streaming 240p (VP9) 50 kbps Completed 04:57, 9 December 2023 1.0 s
WebM 360P 463 kbps Completed 08:21, 31 January 2017 1 min 35 s
Streaming 144p (MJPEG) 1.58 Mbps Completed 08:20, 29 October 2023 5.0 s
Stereo (Opus) 1 kbps Completed 19:11, 12 November 2023 2.0 s
Stereo (MP3) 128 kbps Completed 01:12, 29 October 2023 2.0 s

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