人类大脑的记忆系统和生成性人工智能
Edmund T Rolls1,2,3
1Oxford Centre for Computational Neuroscience, Oxford, UK.
Heliyon
|June 6, 2024
概括
生成型人工智能创建文本令牌以令牌,不像人类大脑生成完整的记忆和思想. 人类的大脑是人类的大脑.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 像GPT这样的生成性AI模型生成顺序令牌.
- 人类的记忆回忆包括从线索中生成完整的记忆.
- 人工智能和人工智能的计算机制有很大的不同.
研究的目的:
- 将生成性人工智能 (AI) 与人类大脑智能进行比较.
- 阐明记忆生成中的不同计算过程.
- 探索对人工智能发展和神经科学的影响.
主要方法:
- 对生成性AI和人类海马体记忆系统的比较分析.
- 学习规则的检查:大脑中的局部关联学习与人工智能的反向传播.
- 分析灵长类动物和动物海马体系统之间的空间处理差异.
主要成果:
- 人类的记忆生成涉及回忆整个记忆,与AI的代币对代币方法不同.
- 人类大脑利用局部关联式学习,而人工智能采用非局部反向传播.
- 灵长类的海马体系统处理空间视图和物体/人位,不同于动物的位置细胞重点.
结论:
- 人类和人工智能生成过程在计算上从根本上有所不同.
- 人类大脑的关联和空间处理为先进的AI提供了洞察力.
- 这种比较突出了人工智能和神经科学的新研究途径.
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