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The MATHESIS project has successfully ended on Jan 31, 2009.
Major results and achievements of this project are highlighted in the following links: Computational Modelling, Robotic Embodiment, Neurobiological studies and Developmental Studies.
The visitor interested in a more complete view of the project results is reffered to the project yearly reports (1st year, 2nd year, final report), as well as the publications that have resulted from MATHESIS.
Computational Modelling
A new modeling methodology has been introduced based on coevolutionary optimization that facilitates modeling of behavioral and brain-imaging data. Based on coevolutionary design, we have implemented a brain-inspired cognitive model that considers bilateral activations across cortical pathways (revealed by brain imaging studies) and accomplishes:
  • executing a range of different behaviors,
  • recognizing the same behaviors when executed by others,
  • using bilateral activity to inhibit self-action during observation.
See video: Cognitive Model Activations and pathways supporting visuo-motor interaction

Model of Observational Learning Dynamics in the Brain

Implementation of cognitive models of observational learning that:

  • handles complex paradigms regarding the mental simulation loop,
  • simulate pathologies of humans, such as autism.

Developmental Model