Based on a local integration between biological/statistical/computer science/cognition laboratories, scientific impacts consist of:
  1. Provide a multilevel bio-analysis of the specific networks implicated in cognitive networks (extending current competences to network analysis),
  2. Optimize the statistical analysis of biological data to enhance pertinence,
  3. Development of biologically-realistic in silico models of synapse and neuron function,
  4. Mathematize brain network-based learning.
These goals allow reaching the perspectives described by the work packages, opening new local opportunities to develop new machine learning algorithms, allow further electronic implementations, study brain diseases (as Alzheimer and epilepsy) and determine corresponding therapeutics, as well as providing new educational research-based advantages to the excellence programme UCAJEDI.