Oxide-Based Bionic Hetero-Dendritic Neuron with Capabilities of Bienenstock-Cooper-Munro Learning Activities

Abstract

The close replication of synaptic function is critically important for achieving cognitive computing based on neuromorphic devices. As an advanced neural learning rule, Bienenstock–Cooper–Munro (BCM) learning rules have been attracted great attention in neuromorphic electronics. With rich ion dynamics processes, ionic/electronic hybrid devices pose great potentials in hardware based neuromorphic systems. Here, sodium alginate/graphene oxide hybrid based electrolyte gated indium tin oxide (ITO) hetero-dendritic neuron with multi-gate configuration was fabricated. Thanks to the unique interfacial protonic hybrid effect, the device exhibits basic synaptic functions. With proton related temporal facilitation, the device demonstrates high-pass filter activities, showing potentials in image sharpening. It also exhibits ultra-low power consumption of ~93.4 aJ for a single synaptic responses. Paired-pulse facilitation behavior is mimicked on such a low power consumption. Symmetrical Hebbian spike-timing-dependent-plasticity and BCM learning rule with regulatory frequency threshold were simulated. Interestingly, a heterosynapstic model was constructed by integrating coplanar gates. Due to the protonic lateral coupling effects, the BCM learning rules could be modulated under heterosynaptic mechanism. These results indicate great potentials of the present oxide hetero-dendritic neuron in neuromorphic electronics and brain inspired cognitive platforms.