Fig. 4: Dendritic integration function in AOAN for robotic integration.

a Schematic illustration of spatiotemporal neural networks distributed on human fingertip. Four pre-synapses were selected for integration with OEST to emulate the spatiotemporal tactile sensory. b postsynaptic current triggered by different input types including single input, synchronous input and asynchronous input. c Neuro-inspired AOAN on robot finger, which couples four artificial mechanoreceptors with neuromorphic device, to transduce signals from mechanoreceptors to brain haptic center. The robot finger with AOAN can hold objects and achieve a motion detection. d postsynaptic current triggered by sliding objects on robot fingertip from top to bottom with different sliding speeds. Top and bottom results were collected by touch sensor and AOAN, respectively. The post-synaptic weight highly depends on the sliding speed (ν). The error bars in the plots indicate standard deviations (n = 3 independent devices).