Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes-Reference-Cited by-同舟云学术

Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes

Published:2020-04 Issue:4 Volume:6 Page:449-461
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Yu Zhaofei,Liu Jian K.,Jia Shanshan,Zhang Yichen,Zheng Yajing,Tian Yonghong,Huang Tiejun

Funder

National Basic Research Program of China

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

China Postdoctoral Science Foundation

International Talent Exchange Program of Beijing Municipal Commission of Science and Technology

Royal Society Newton Advanced Fellowship

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference191 articles.

1. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex;Chapin;Nat Neurosci,1999

2. Direct cortical control of 3D neuroprosthetic devices;Taylor;Science,2002

3. Cognitive control signals for neural prosthetics;Musallam;Science,2004

4. Direct control of paralysed muscles by cortical neurons;Moritz;Nature,2008

5. Cortical control of a prosthetic arm for self-feeding;Velliste;Nature,2008

Cited by 28 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. Decoding dynamic visual scenes across the brain hierarchy;PLOS Computational Biology;2024-08-02

2. Decoding dynamic visual scenes across the brain hierarchy;2024-06-28

3. Review of bio-inspired image sensors for efficient machine vision;Advanced Photonics;2024-04-08

4. An FPGA implementation of Bayesian inference with spiking neural networks;Frontiers in Neuroscience;2024-01-05

5. A Retina-Inspired Computational Model for Stimulation Efficacy Characterization and Implementation Optimization of Implantable Optogenetic Epi-Retinal Neuro- Stimulators;IEEE Access;2024