Aran Nayebi

A novel intrinsic motivation method based on world-model memory mismatch enables embodied agents to exhibit robust autonomous behaviors that closely match whole-brain neural data from zebrafish.

Task-optimized convolutional recurrent neural networks trained on realistic tactile inputs align with rodent somatosensory data, suggesting brain tactile processing uses temporally-precise representations shaped by categorization-driven optimization.