Neuronica Lab is developing Artificial Neural Networks theory and practice in academic and industrial field. We delve deeper into cerebral cellular physiology of human neurons and synapse to understand the mind working at the cellular and cognitive level on the one end. On the other end we analyze events for which a cognitive approach, just as neural one could be, should be better than a classic approach through numerical models. The Lab originated in the early Eighties, due to Professor Eros Pasero and Professor Costa. They put forth the aim to project silicon circuits that emulate the neuron and the synapse. Neural models have been developed from the study of cognitive brain capacities. Neural models shall be applied in academic and industrial work if conveniently adapted. Neural programming libraries are available to compete with control problems, non linear time series analysis, artificial sensor vision and recognition. Lab has been working on meteorological and medical sensors research from Nineties.