Topic: cortical organization

The second NeuroAI workshop at AAAI connects biological computation with adaptive multimodal AI. It examines how cortical organization, inhibitory–excitatory balance, sparse representations and context-sensitive plasticity can inform efficient learning and reduce forgetting. The reverse direction uses AI to study neural and behavioural data, circuit dynamics and biologically realistic models, with shared benchmarks connecting neuroscience and machine learning. Submissions are due 20 November 2026, with decisions on 5 December. Double-blind review follows AAAI-27 instructions. Short papers all

Background: The balance of excitation and inhibition (E-I) is a key functional property of cortical microcircuits [1] which changes through lifespan. Adolescence is considered a crucial period for the maturation of E-I balance [2,3]. This has been primarily observed in animal studies, and human in vivo evidence on adolescent maturation of the E-I balance at an individual level is limited. Here, we investigated an in vivo marker of regional E-I balance in human adolescents based on individualized biophysical network models. Methods: Regional E-I balance was estimated using large-scale simulati