Fig. 5: Stretchable neuromorphic circuit utilizing LNEP as interconnects integrated with rigid electronic chips.
a Schematic illustrations of the fabricated neuromorphic circuit (top) and its working principle (bottom). b Photographs of the one-step chip integration process. c Photographs of the LNEP-based stretchable neuromorphic circuit (left) and optical microscope images of the chip interface (right), shown before stretching (top) and after stretching (bottom). d Iterative spiking characteristics of the neuron device with LNEP interconnects under 0% to 50% strain. e Spiking neural network (SNN) for touch classification. The input layer represents two artificial sensory neurons, while each output layer corresponds to the sensor being touched. f Synaptic currents were measured at both output layers (Isyn1 and Isyn2). When the frequency of Isyn1 (fI1) exceeded that of Isyn2 (fI2), the circuit identified the (B) sensor as being touched. Conversely, when fI1 was lower than fI2, the circuit identified the (A) sensor as being touched.
