In feedforward networks with random connectivity, connection motifs underlying the detection of short clusters and activity sequences are likely to converge on a subset of postsynaptic neurons purely by chance.

Default mode network and visual cortex are connected via two parallel pathways that differentially respond to the processing of visual scenes and semantic information about objects, reflecting domain-specific organisation.

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.

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.