Organoid intelligence (OI) – The ultimate functionality of a brain microphysiological system

类有机物 神经科学 认知 计算机科学 认知科学 功能(生物学) 计算模型 补语(音乐) 心理学 数据科学 人工智能 生物 进化生物学 生物化学 互补 基因 表型
作者
Lena Smirnova,Itzy E. Morales Pantoja,Thomas Hartung
出处
期刊:Alternatives to animal experimentation [Springer Nature]
卷期号:: 191-203 被引量:4
标识
DOI:10.14573/altex.2303261
摘要

Understanding brain function remains challenging as work with human and animal models is complicated by compensatory mechanisms, while in vitro models have been too simple until now. With the advent of human stem cells and the bioengineering of brain microphysiological systems (MPS), understanding how both cognition and long-term memory arise is now coming into reach. We suggest combining cutting-edge AI with MPS research to spearhead organoid intelligence (OI) as synthetic biological intelligence. The vision is to realize cognitive functions in brain MPS and scale them to achieve relevant short- and long-term memory capabilities and basic information processing as the ultimate functional experimental models for neurodevelopment and neurological function and as cell-based assays for drug and chemical testing. By advancing the frontiers of biological computing, we aim to (a) create models of intelligence-in-a-dish to study the basis of human cognitive functions, (b) provide models to advance the search for toxicants contributing to neurological diseases and identify remedies for neurological maladies, and (c) achieve relevant biological computational capacities to complement traditional computing. Increased understanding of brain functionality, in some respects still superior to today's supercomputers, may allow to imitate this in neuromorphic computer architectures or might even open up biological computing to complement silicon computers. At the same time, this raises ethical questions such as where sentience and consciousness start and what the relationship between a stem cell donor and the respective OI system is. Such ethical discussions will be critical for the socially acceptable advance of brain organoid models of cognition.
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