开放和远程可访问的神经平台,用于研究湿器计算.
Fred D Jordan1, Martin Kutter1, Jean-Marc Comby1
1FinalSpark, Rue du Clos 12, Vevey, Switzerland.
Frontiers in artificial intelligence
|May 17, 2024
概括
研究人员开发了Neuroplatform,用于使用神经器官的大型湿器计算实验. 该系统可实现24 / 7监控和自动控制,以推进有机智能研究.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 计算生物学 计算生物学
背景情况:
- 湿器计算和有机智能融合了电生理学和人工智能.
- 生物神经网络需要新的计算方法,与人工神经网络 (ANN) 不同.
- 开发这些方法需要一个可扩展的实验系统,使全球研究人员能够访问.
研究的目的:
- 介绍神经平台,用于大规模电生理实验的硬件和软件系统.
- 为了使长期 (100+天) 对神经器官进行实验.
- 为了促进远程研究和复杂的实验设计.
主要方法:
- 开发了一种简化流程,用于快速产生神经器官的过程.
- 实施了24 / 7行动潜力监测和电刺激能力.
- 集成的微流体系统用于自动介质交换,确保稳定的条件.
- 设计了一个全面的应用程序编程接口 (API),用于远程控制电生理操作,,摄像头和紫外线灯.
- 实现了复杂的24/7实验,包括闭环策略和深度/强化学习集成.
主要成果:
- 在过去的三年里,神经平台已经与1000多个大脑器官一起使用.
- 收集了超过18TB的电生理学数据.
- 该系统完全支持通过Python库和Jupyter笔记本的远程研究.
- 目前在2024年免费提供用于研究目的.
结论:
- 神经平台为神经器官有机体上的电生理学实验提供了前所未有的规模.
- 它的自动化功能和远程可访问性加速了湿器计算和有机智能的研究.
- 该系统使全球研究人员能够利用生物神经网络探索新的计算方法.
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