[16p-416-1~18] 12.3 Functional Materials and Novel Devices

[16p-416-2] Axon like PEDOT:PSS wiring concentrating for neuro device

〇Wataru Hikita¹, Megumi Akai-Kasaya^1,2, Tetsuya Asai³, Yuji Kuwahara¹ (1.Osaka Univ., 2.JST PRESTO, 3.Hokkaido Univ.)

Keywords:PEDOT:PSS, electropolymerization, neuro morphic

Analog hardware neural networks constructed by nano-scale nonvolatile memristive (synaptic) devices, such as RRAM crossbars, are one of the emerging technology for hardware neural networks. We present a prototype of molecular neural networks consisting of conducting polymer wires in liquid state, where memristive devices exist at every cross point of polymer wires, forms all-to-all connections between bottom and top polymer wire layers. Through experiments, we demonstrate that the molecular networks constructed by conducting polymer PEDOT/PSS [(poly(3,4-ethylenedioxythiophene) doped with poly (styrene sulfonate) anions] acquires basic logical functions as a result of the supervised learning. As a target neural network skeleton, we selected the simplest network. The weight values are physically represented by differential conductance as where represents the conductance between the electrode and a virtually-grounded electrode. During the training phase, square growth voltage (=±15 V, 30 kHz) was applied from both side of designated electrodes, whereas during the evaluation phase, DC voltage (= 1.0 V) was applied to one of the electrode, and the other electrode was virtually grounded by opamp-based current-to-voltage converters, to measure currents between each electrodes. Through the experiments, we succeeded in constructing AND, OR, NAND and NOR logic system. These results imply that they expand variety of present neuromorphic computing architectures designed mainly for solid-state CMOS devices.