在孤立的皮质网络中编码时间信息
Zubayer Ibne Ferdous1, Saeed Omidi2, Nađa Stojanović3
1Department of Electrical and Computer Engineering, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, United States.
Cerebral cortex (New York, N.Y. : 1991)
|August 23, 2025
概括
皮层网络可以使用储存器计算来表示传感输入中的时间信息. 这项研究表明神经网络状态以毫秒的精度编码时间模式,支持在感官处理中的作用.
科学领域:
- 神经科学
- 计算神经科学
- 系统神经科学
背景情况:
- 感官刺激通常包含对感知至关重要的时间依赖特征.
- 大脑通过感官皮层中的空间和时间代码来表示刺激的时间.
- 储存器计算是一种循环神经网络模型,是时间转换为空间信息的潜在机制.
研究的目的:
- 调查孤立的皮质网络是否可以作为储存器,代表传感输入中的时间信息.
- 在这些网络中确定时间信息编码的精度和持续时间.
主要方法:
- 使用分离原始大鼠皮质培养的模式光遗传刺激.
- 提供不同时间模式的输入序列以评估网络状态表示.
- 分析网络状态以对输入序列的时间特征进行分类.
主要成果:
- 网络状态包含1秒以上的输入序列信息,精度至少为100毫秒.
- 时间信息的准确分类依赖于涉及许多神经元的人口代码.
- 网络状态的轨迹主要受到空间刺激特征的影响,而时间特征具有更微妙的影响.
- 空间信息被保留了超过2秒,相当于视觉皮层的短期记忆时间.
结论:
- 孤立的皮质网络表现出与储库计算相一致的特性.
- 这些发现表明,局部储存器计算是感官皮层中时间到空间代码转换的可信机制.
- 这项研究提供了大脑中时间信息处理的神经基础的实验证据.
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