3 papers
cs.NE2026
Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
Mo Shakiba, Rana Rokni, Mohammad Mohammadi +1
How the wiring and functional organization of cortex shape recurrent computation remains a central question in both neuroscience and machine learning. Here, we leverage data releas…
q-bio.NC2025
ODIN: Open Data In Neurophysiology: Advancements, Solutions & Challenges
Colleen J. Gillon, Cody Baker, Ryan Ly +5
Across the life sciences, an ongoing effort over the last 50 years has made data and methods more reproducible and transparent. This openness has led to transformative insights and…
q-bio.NC2024
Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence
Nima Dehghani, Michael Levin
The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of Talos to Aristotelian logic and…