Organic synapstor (synapse-transistor)
In 2010, we demonstrated the concept of synapstor (synapse transistor) that the main functionalities of a biological synapse are achievable with an organic hybrid transistor (organic semiconductor and gold nanoparticles) [F. Alibart et al. Adv. Func. Mater. (2010), F. Alibart et al., Adv. Func. Mater. (2012)]. Recently, we extended these results with the demonstration of the operation of these synapstors at very low voltages (50 mV), in an electrolyte-gated configuration [S. Desbief et al. Org. Electron. (2015); M. di Lauro et al., Adv. Electron. Mater. (2017)], and we demonstrated that they can be interfaced with living biological neurons [S. Desbief et al. Org. Electron. (2016)], which made these devices prone for a possible brain/neurocomputer interface.
Main coll.: C. Gamrat (CEA-LIST), F. Biscarini (Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, Modena, Italy); Y. Geerts (Lab. Chimie des Polymères, Université Libre de Bruxelles, Belgium).
Organic electrochemical transistors for reservoir computing.
We investigated iono-electronic materials and devices, in which electronic conduction is controlled by ion dynamics [S. Pecqueur et al., Org. Electron. (2018), S.Pecqueur et al. Org. Electron. (2019)]. We have demonstrated pattern recognitions in a network of OECTs (organic electrochemical transistor) interacting in a common electrolyte [S. Pecqueur et al., Adv. Electron. Mater. (2018)]. based on the concept of “reservoir computing” (i.e. a spatio-temporal data processing in a network with complex dynamics and strong non-linearities).
Main coll.: P. Blanchard, J. Roncali (CNRS, Moltech-Anjou, U. Angers); C. Gamrat (CEA-LIST, Saclay), Z. Crljen (RBI, Zagreb, Croatia).