Brain Model Technology and Its Implications

The complexity of the human brain creates a spectrum of sophisticated behavioral repertoires, such as language, tool use, self-awareness, symbolic thought, cultural learning, and consciousness. Understanding how the human brain achieves that has been a longstanding challenge for neuroscientists and...

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Bibliographic Details
Main Author: Muotri, Alysson R. (Author)
Format: Electronic Article
Language:English
Check availability: HBZ Gateway
Interlibrary Loan:Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany)
Published: 2023
In: Cambridge quarterly of healthcare ethics
Year: 2023, Volume: 32, Issue: 4, Pages: 597-601
Further subjects:B Neanderthal
B Stem Cells
B microgravity
B brain organoids
B Consciousness
B Evolution
Online Access: Volltext (lizenzpflichtig)
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Summary:The complexity of the human brain creates a spectrum of sophisticated behavioral repertoires, such as language, tool use, self-awareness, symbolic thought, cultural learning, and consciousness. Understanding how the human brain achieves that has been a longstanding challenge for neuroscientists and may bring insights into the evolution of human cognition and disease states. Human pluripotent stem cells could differentiate into specialized cell types and tissues in vitro. From this pluripotent state, it is possible to generate models of the human brain, such as brain organoids. The recent observation that brain organoids can spontaneously develop complex neural network activity in a dish can help one understand how neural network oscillations evolve and vary between normal and disease states. Moreover, this finding can be leveraged to other applications outside medicine, including engineering and artificial intelligence. However, as the brain model technology becomes more complex, it raises a series of ethical and moral dilemmas. This article discusses the status of this technology, some of its current limitations, and a vision of the future.
ISSN:1469-2147
Contains:Enthalten in: Cambridge quarterly of healthcare ethics
Persistent identifiers:DOI: 10.1017/S096318012300018X