Research Projects

Neuromorphic devices, initially conceptualized four decades ago, have only recently appeared due to the promising applications of resistive switching devices (RSDs) in developing artificial neurons. The current focus of the community is on developing new materials for RSDs and algorithms for neuromorphic computing based on RSDs. Key physical effects of biological neurons include short-term plasticity (STP), long-term plasticity (LTP), spike-timing dependent plasticity (STDP), and spike-rate dependent plasticity (SRDP). The IIT Patna group has been working on bulk materials for RSDs, with published work on oxides and preliminary demonstrations on organic counterparts like Graphene oxide and its derivatives. The group proposes to extend this work beyond bulk materials, focusing on the development and testing of inorganic, organic, and inorganic-organic hybrid thin film architecture based RSDs for their use as artificial neurons for neuromorphic computing. Key demonstrations include the ability of artificial neurons based on RSDs to generate electrical spikes and leaky integrate and fire (LIF). Based on these results, crossbar architectures will be developed.