Identifying the cortical algorithms that underlie brain function is a key step towards understanding the neural basis of cognition, and requires an understanding of computational processes that are shared across systems (P1,P2), their coordination between cortices (P4), and their emergence during development and learning (P3).

WP4 will identify algorithms by bringing together neural population data from WP1-3 to test, refine and develop new concepts through theoretical models of cortical circuit function.

We will develop models of (i) how activity converges on certain states (CANs) and how such states and subnetworks are coordinated (WP4A; P1, P4); (ii) mechanisms and connectivity motifs for sequence formation (WP4B; P2,P4); and (iii) optimisation of learning efficiency by plasticity and connectivity motifs (WP4C,P3).

With these models, we will be able to identify the underlying algorithms and make experimental predictions about neural responses to perturbations, which, in turn, will feed back into WPs1-3 for testing and guidance of new experiments.