Effects of Neural Assembles in Causal Inference Based on an Entropy-Maximization Bayesian Neural Network
Causal inference is an important function of the nervous system. To explore causal inference, Bayesian inference performs as the possible framework, mapping neural implementation onto various cortical areas. Neural assembles participate in Bayesian inference. However, the contributions of neural ass...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10649571/ |
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