The dynamical solutions exhibited by task-optimized recurrent neural networks, and their similarity to prefrontal cortex dynamics, depends strongly on the strength of neural noise and metabolic cost imposed during training.

Different glutamate receptors have specialized roles that allow cerebellar unipolar brush cells to transform realistic mossy fiber input patterns into a continuum of temporal responses.

A novel methodology, using diversity search AI algorithms, for exploring the space of possible behaviors of gene regulatory networks, from the perspective of generic problem-solving agents navigating their environment.