Neural networks with controlled topology as model systems for pharmaceutical testing.
We summarize the different approaches available for engineering neural networks.
Advances and limitations in terms of cell placement and axon guidance are discussed.
We compare the network behavior of patterned and random in vitro neuronal networks.
Their analytical value for studying the brain and neurological disorders is presented.