Biopolymer based artificial synapses enable linear conductance tuning and low-power for neuromorphic computing.

Neuromorphic computing is considered a promising method for resolving the traditional von Neumann bottleneck. Natural biomaterial-based artificial synapses are popular units for constructing neuromorphic computing systems while suffering from poor linearity and limited conduction states. In this work, a AgNO doped iota-carrageenan (ι-car) based memristor is proposed to resolve the non-linear limitation.