The development of an electronic hardware that could communicate effectively with biological neural systems is a major challenge of today’s research. This objective raises both fundamental questions about the nature of the information to be processed (how to exploit it, which representation to choose) as well as the technologies to be used (how to transmit, receive this information effectively, how to store it). The IONOS project proposes a global approach to this problem by developing both an adapted electronics based on the (nano) iono-electronic components allowing an optimal transduction of the biological signals towards the artificial world, and a computational paradigm inspired by the principles of information processing and storage observed in biology (neuromorphic calculation). This interdisciplinary research, ranging from nanotechnologies and new materials to biology and cognitive sciences, will be carried out in partnership between the IEMN laboratories of Lille, the LN2 of Sherbrooke (Canada) and the JPArc laboratory of Lille, respective leaders in nanotechnologies, integration component systems and biological neural networks.
The IONOS project proposes to show how neuromorphic electronics, such as resistive memory crossbars (top), can interact effectively with biological neural networks (bottom).