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| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Sensory perception relies on fitness-maximizing codes |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Nature Human Behaviour |
| Publisher | Nature Publishing Group |
| Geographical Reach | international |
| ISSN | 2397-3374 |
| Volume | 7 |
| Number | 7 |
| Page Range | 1135 - 1151 |
| Date | 2023 |
| Abstract Text | Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perhaps counterintuitively, accurate sensory representations may not necessarily maximize the organism’s chances of survival. To test this hypothesis, we developed a unified normative framework for fitness-maximizing encoding by combining theoretical insights from neuroscience, computer science, and economics. Behavioural experiments in humans revealed that sensory encoding strategies are flexibly adapted to promote fitness maximization, a result confirmed by deep neural networks with information capacity constraints trained to solve the same task as humans. Moreover, human functional MRI data revealed that novel behavioural goals that rely on object perception induce efficient stimulus representations in early sensory structures. These results suggest that fitness-maximizing rules imposed by the environment are applied at early stages of sensory processing in humans and machines. |
| Digital Object Identifier | 10.1038/s41562-023-01584-y |
| Other Identification Number | merlin-id:24180 |
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| Keywords | Behavioral neuroscience, experimental and cognitive psychology, social psychology |