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动态传感器竞赛用于从视频中预测大规模的小鼠视觉皮层活动.

Polina Turishcheva1, Paul G Fahey2,3,4,5,6, Michaela Vystrčilová1

  • 1Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.

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|July 3, 2023
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概括

传感器2023竞赛引入了动态视觉刺激基准,用于模拟小鼠大脑. 这有助于我们更好地理解神经处理在自然,动态环境中的过程.

关键词:
动态刺激 动态刺激鼠标视觉皮层 鼠标视觉皮层神经预测的神经预测系统识别系统识别

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科学领域:

  • 计算神经科学是一种计算神经科学.
  • 系统神经科学 系统神经科学
  • 人工智能的人工智能是人工智能.

背景情况:

  • 生物视觉系统的建模是复杂的,因为神经元反应和高维输入之间的非线性.
  • 人工神经网络通过弥合生物和机器视觉来帮助理解.
  • 现有的基准以静态图像为重点,但动物处理动态环境.

研究的目的:

  • 为鼠标视觉系统的动态神经模型建立一个标准化的基准.
  • 介绍Sensorium 2023基准竞赛与动态输入.
  • 促进在动态条件下对大脑功能的研究.

主要方法:

  • 收集了从小鼠初级视觉皮层到动态刺激的神经元反应的大规模数据集.
  • 组织了一场比赛,主要和奖金曲目用于神经元反应的预测建模.
  • 提供视频刺激,行为数据,代码,教程和基线模型.

主要成果:

  • 竞赛数据集包括超过78,000个神经元对每个神经元超过2小时的动态刺激的反应.
  • 参与者将开发动态输入 (视频) 的模型,并评估域外数据的性能.
  • 该基准旨在衡量大规模神经系统识别方面的进展.

结论:

  • 传感器2023年基准竞赛解决了对动态输入模型的需求.
  • 这一举措将推动人们对在动态环境中神经处理的理解.
  • 它旨在建立一个标准工具来衡量视觉系统建模的进展.