Bio-inspired Circuits & Systems
We aim to identify the principles of neural computation and implement them in fully parallel and low-power neuromorphic very-large-scale integration (VLSI) systems that offer the opportunity to overcome the limitations of traditional digital architectures. Hereby we develop silicon implementations of neural networks with learning abilities and biologically inspired sensor systems, which allow us to validate current theories of learning and computation.
