Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking
Abstract
ABSTRACT Optogenetics employs light to regulate neuronal activity with exceptional spatiotemporal precision, thereby enabling the direct modulation of learning and memory processes in the human brain. This capability to externally control neuronal signaling via optical stimuli has provided profound insights into brain function and established a versatile strategy for engineering bio‐inspired information processing. Herein, a designable van der Waals (vdW) crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization. As the sequential transition from carrier transport dominance to ion transport dominance reveals the dynamic control over synaptic weight updates. Optoelectric synaptic plasticity in designable vdW crystal (long‐term potentiation and depression, paired‐pulse facilitation, and a tunable short‐term to long‐term memory transition) were conclusively observed and correlates with photo‐induced carrier trapping and ionic migration. Furthermore, learning‐forgetting‐relearning cycles achieve 34.7% increased retention efficiency compared to bulk ReSe 2 . Functional demonstrations in edge detection and CIFAR‐10 image recognition confirm the synaptic plasticity into system‐level neuromorphic computation, with a recognition accuracy of 96.24%. In conclusion, we envision that designable vdW artificial crystal will provide the versatile advances for 3D stackable neuromorphic vision architectures.
Article Details
Authors (24)
Jinhyoung Lee
Gunhyoung Kim
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Dongho Lee
Seowoo Son
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon South Korea
Hyunho Seok
Sihoon Son
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon South Korea
Hyunbin Choi
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Geonwook Kim
School of Mechanical Engineering Sungkyunkwan University (SKKU) Suwon‐si Gyeonggi‐do South Korea
Geumji Back
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Hyunkyu Kim
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon South Korea
Chaerin Park
Junmin Ahn
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Seongyun Je
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon South Korea
Chaeyoung Im
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon South Korea
Junil Cho
School of Mechanical Engineering Sungkyunkwan University (SKKU) Suwon‐si Gyeonggi‐do South Korea
Magdalena Grzeszczyk
Seongho Kim
1Karmanos Cancer Institute, Detroit, United States
Eunseo Go
Semiconductor Manufacturing Research Center Korea Institute of Machinery and Materials (KIMM) Daejeon South Korea
Hyunwoo Shim
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Donghwan Choi
Department of Semiconductor Convergence Engineering Sungkyunkwan University Suwon South Korea
Muyoung Kim
Semiconductor Manufacturing Research Center Korea Institute of Machinery and Materials (KIMM) Daejeon South Korea
Hyoeng‐U. Kim
School of Mechanical Engineering Sungkyunkwan University (SKKU) Suwon‐si Gyeonggi‐do South Korea
Won‐Jun Jang
Center For Quantum Nanoscience Institute For Basic Science (IBS) Seoul South Korea
Taesung Kim