Neuronica Lab is working on Artificial Neural Networks theory applied to both academic and industrial fields.

We focus, in particular, on cerebral cellular physiology of neurons and synapses in order to understand the human mind behaviour at the cellular and cognitive level. Furthermore, we analyze events for which a cognitive approach, just as the neural one, should be better compared to a classic approach based on numerical models.

The Lab was born in the early Eighties, thanks to Professor Eros Pasero and Professor Costa, with the aim of designing silicon circuits that emulate the neuron and the synapse. Neural models have been developed starting from the study of cognitive brain capabilities. These models, suitably adapted, can be applied to the academic and industrial fields. Neural programming libraries are available to solve control problems such as non linear time series analysis, artificial sensors vision and recognition.

Starting from the Nineties, the research activity of Neuronica Lab has been focused on meteorological and medical sensors.