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Spatial embedding promotes a specific form of modularity with low entropy and heterogeneous spectral dynamics
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience.
Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture
There is a concerted effort to build domain-general artificial intelligence in the form of universal neural network models with sufficient computational flexibility to solve a wide variety of cognitive tasks but without requiring fine-tuning on individual problem spaces and domains.
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