Artificial stimulus-response system capable of conscious response-Reference-Cited by-同舟云学术

Artificial stimulus-response system capable of conscious response

Published:2021-04-09 Issue:15 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Kim Seongchan¹^ORCID,Roe Dong Gue²^ORCID,Choi Yoon Young³^ORCID,Woo Hwije¹^ORCID,Park Joongpill⁴^ORCID,Lee Jong Ik⁵^ORCID,Choi Yongsuk³^ORCID,Jo Sae Byeok³^ORCID,Kang Moon Sung⁵⁶^ORCID,Song Young Jae¹^ORCID,Jeong Sohee⁴^ORCID,Cho Jeong Ho³^ORCID

Affiliation:

1. SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.

2. School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.

3. Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Korea.

4. Department of Energy Science and Center for Artificial Atoms, Sungkyunkwan University, Suwon 16419, Korea.

5. Department of Chemical and Biomolecular Engineering, Sogang University, Seoul 04107, Korea.

6. Institute of Emergent Materials, Sogang University, Seoul 04107, Korea.

Abstract

A successful emulation of human conscious responses is demonstrated through an artificial stimulus-response system.

Funder

Creative Materials Discovery Program through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT

National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT

Korea Medical Device Development Fund grant funded by the Korea government

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference37 articles.

1. An Artificial Sensory Neuron with Tactile Perceptual Learning

2. Towards organic neuromorphic devices for adaptive sensing and novel computing paradigms in bioelectronics

3. Pattern Recognition Using Carbon Nanotube Synaptic Transistors with an Adjustable Weight Update Protocol

4. Transparent and flexible photonic artificial synapse with piezo-phototronic modulator: Versatile memory capability and higher order learning algorithm

5. Strain-controlled power devices as inspired by human reflex

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Emerging optoelectronic artificial synapses and memristors based on low-dimensional nanomaterials;Applied Physics Reviews;2024-01-19

2. Bimodal Bioinspired Sensory Neuron With Tactile and Visual Perceptual Capabilities;IEEE Electron Device Letters;2023-12

3. Artificial Neuron Devices;Chemical Reviews;2023-11-17

4. Artificial visual‐tactile perception array for enhanced memory and neuromorphic computations;InfoMat;2023-11-05

5. How to Control the State Transformation from Short-Term Potentiation to Long-Term Potentiation of Charge Trapping Synapse?;2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD);2023-09-27