The school will address key topics in the Neuroengineering field, with a focus on “Dynamics, Computation and Learning in Neural Systems” and their technical realization in artificial systems.

All issues should be dealt with, in an interdisciplinary way, both from the biological and the IT/engineering perspective.

Key topics will include:

• Neural-network dynamics
  - Neurobiology of in-vivo and in-vitro neuronal systems;
  - Non linear dynamics and neuronal signal analysis;
  - Theoretical and experimental models.



• Neural plasticity - learning – development
  - Neurobiology of learning and memory;
  - Closed-loop system and learning;
  - Learning and plasticity in in-vitro neuronal system.



• Coding and decoding neuronal signals
  - Rate/time coding;
  - Information transmission;
  - Sensori-motor processing



• Advanced neuro-prosthetics - brain-machine interfaces
  - Technological advances in BMI;
  - Decodying of neuronal signals.



• Neuro-robotics - biologically inspired robots
  - Bi-directional neuro-robotic interfaces;
  - Cognitive neuroscience; - Biorobots