在自由移动的导航过程中,学习人工感觉与视觉的整合
Samuel J Senneka1, Maria C Dadarlat1
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907.
概括
小鼠学会了将来自大脑刺激的人工感官反与视觉融合为运动控制. 这种人工自知觉和自然视觉一样有效,并且与它相结合时提高了性能.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 感官反是一种感官反.
背景情况:
- 人类整合了自身感知和视觉反来实现精确的运动.
- 大脑计算机接口 (BCI) 需要人工自觉来控制假肢.
- 皮层内微刺激 (ICMS) 可以提供人工感官反.
研究的目的:
- 测试人工感官信息与自然视觉的学习和整合.
- 开发一个自由移动的小鼠行为任务来评估人工感官反.
- 评估ICMS作为BCI应用中的自感替代品的有效性.
主要方法:
- 一个16通道的微电线阵列植入了小鼠的主要体感皮质.
- 训练小鼠进行行为任务,使用视觉和/或ICMS反导航到目标.
- 在多模式 (视觉+ICMS),仅视觉和仅ICMS试验中评估了性能.
主要成果:
- 在1000个训练课程后,小鼠在多模式试验中获得了75%的熟练程度.
- 小鼠很快学会了单独使用ICMS,在仅使用ICMS的试验中达到75%的熟练程度.
- ICMS的性能与视觉相当或优于视觉,多模式性能明显超过单模式性能.
结论:
- 动物很快就学会了将自然视觉与来自ICMS的人工感官反结合起来.
- 人工亲感可以有效地学习并与自然视觉相结合.
- 这项研究证明了ICMS在BCI系统中增强感官反的潜力.
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