Bio-inspired computing revolutionizes machine learning and artificial intelligence by mimicking the efficient biological systems. Artificial neural networks (ANNs) are inspired by the brain, in which the synaptic connectivity between neurons achieves complex classification and data processing tasks. Unlike ANNs, the biological neural relies heavily on neurochemical synaptic transmission which contributes to the stochastic computing of the brain. In biological synapses, membrane-bound neurotransmitters are released in quantal events to the extracellular space at the synaptic clefts. Toward closely mimicking the biological system, we introduce a new biohybrid synapse that produces quantal neurotransmitter secretion to relay information to the artificial postsynaptic receptor.