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The memory systems of the human brain and generative artificial intelligence
Edmund T Rolls1,2,3
1Oxford Centre for Computational Neuroscience, Oxford, UK.
Heliyon
|June 6, 2024
Summary
Generative AI creates text token by token, unlike the human brain which generates complete memories and thoughts. The human brain
Area of Science:
- Neuroscience
- Artificial Intelligence
- Cognitive Science
Background:
- Generative AI models like GPT generate sequential tokens.
- Human memory recall involves generating complete memories from cues.
- The computational mechanisms of AI and human intelligence differ significantly.
Purpose of the Study:
- To compare generative artificial intelligence (AI) with human brain intelligence.
- To elucidate the distinct computational processes in memory generation.
- To explore implications for AI development and neuroscience.
Main Methods:
- Comparative analysis of generative AI and human hippocampal memory systems.
- Examination of learning rules: local associative learning in the brain vs. backpropagation in AI.
- Analysis of spatial processing differences between primate and rodent hippocampal systems.
Main Results:
- Human memory generation involves recalling whole memories, distinct from AI's token-by-token approach.
- The human brain utilizes local associative learning, while AI employs non-local backpropagation.
- Primate hippocampal systems process spatial views and object/person locations, differing from rodent place cell emphasis.
Conclusions:
- Human and AI generative processes are fundamentally different computationally.
- The human brain's associative and spatial processing offers insights for advanced AI.
- This comparison highlights novel research avenues in both AI and neuroscience.
Keywords:
Chat-GPTEpisodic memoryGenerative Pre-trained TransformerGenerative artificial intelligenceHippocampal memory systemSemantic memoryThe brain and AIMore Related Videos
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