Simulation of the visual perception in retinal prosthesis
视网膜假体视觉感知的模拟
基本信息
- 批准号:529532-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A retinal prosthesis aims at giving back vision to blind people. To do so, an external camera captures visual**scenes and sends this information to an electrode array, which is positioned in the eye, in order to stimulate**directly the retina. The electric pulses from the electrodes are sent to the brain along the optic nerve and**interpreted as sight. Many types of patterns can be used to stimulate the different electrodes comprising the**array. Typically, the stimulation is proportional to the intensity of the pixels in the image captured by the**camera. However, it has been shown that this approach is not well adapted to the structures of the retina that**are stimulated by the electrodes, namely the retinal ganglion cells. iBIONICS, a company that is currently**developing a novel retinal prosthesis, wishes to implement such an adapted stimulation approach in its bionic**eye. The research proposal aims at simulating a perceived image using an adapted stimulation approach and**comparing it with an image obtained with the traditional stimulation approach. This work will pave the way to**the implementation of this adapted stimulation approach in iBIONICS' implants and could significantly**improve the perceptual quality of future iBIONICS' implantees.**
一种视网膜假体旨在让盲人恢复视力。为了做到这一点,一个外部摄像头捕捉视觉场景,并将这些信息发送到位于眼睛内的电极阵列,以直接刺激视网膜。来自电极的电脉冲沿着视神经发送到大脑,并被解读为视觉。许多类型的模式可以用来刺激组成该阵列的不同电极。通常,刺激与相机捕获的图像中像素的强度成正比。然而,研究表明,这种方法不适用于受电极刺激的视网膜结构,即视网膜神经节细胞。iBIONICS公司目前正在开发一种新型视网膜假体,希望在其仿生眼中实现这种适应性刺激方法。该研究计划旨在使用适应性刺激方法模拟感知图像,并将其与传统刺激方法获得的图像进行比较。这项工作将为在iBIONICS植入物中实施这种适应性刺激方法铺平道路,并可能显著提高未来iBIONICS植入物的感知质量
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Plourde, Eric其他文献
A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal
- DOI:
10.1109/tbme.2011.2113349 - 发表时间:
2011-06-01 - 期刊:
- 影响因子:4.6
- 作者:
Plourde, Eric;Delgutte, Bertrand;Brown, Emery N. - 通讯作者:
Brown, Emery N.
Recent Developments in Speech Enhancement in the Short-Time Fourier Transform Domain
- DOI:
10.1109/mcas.2016.2583681 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:6.9
- 作者:
Parchami, Mahdi;Zhu, Wei-Ping;Plourde, Eric - 通讯作者:
Plourde, Eric
The effect of input noises on the activity of auditory neurons using GLM-based metrics*
- DOI:
10.1088/1741-2552/abe979 - 发表时间:
2021-08-01 - 期刊:
- 影响因子:4
- 作者:
Hosseini, Maryam;Rodriguez, Gerardo;Plourde, Eric - 通讯作者:
Plourde, Eric
Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement
- DOI:
10.1016/j.specom.2016.11.003 - 发表时间:
2017-03-01 - 期刊:
- 影响因子:3.2
- 作者:
Chung, Hanwook;Plourde, Eric;Champagne, Benoit - 通讯作者:
Champagne, Benoit
A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre
- DOI:
10.1109/taslp.2016.2530405 - 发表时间:
2016-05-01 - 期刊:
- 影响因子:5.4
- 作者:
Adeli, Mohammad;Rouat, Jean;Plourde, Eric - 通讯作者:
Plourde, Eric
Plourde, Eric的其他文献
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{{ truncateString('Plourde, Eric', 18)}}的其他基金
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPIN-2020-05077 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPAS-2020-00112 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPAS-2020-00112 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPIN-2020-05077 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPIN-2020-05077 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Design and implementation of spiking neural network based speech enhancement algorithms
基于尖峰神经网络的语音增强算法的设计与实现
- 批准号:
RGPAS-2020-00112 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Development of innovative speech enhancement algorithms based on the central auditory system.
开发基于中央听觉系统的创新语音增强算法。
- 批准号:
RGPIN-2014-05301 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of innovative speech enhancement algorithms based on the central auditory system.
开发基于中央听觉系统的创新语音增强算法。
- 批准号:
RGPIN-2014-05301 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of innovative speech enhancement algorithms based on the central auditory system.
开发基于中央听觉系统的创新语音增强算法。
- 批准号:
RGPIN-2014-05301 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of innovative speech enhancement algorithms based on the central auditory system.
开发基于中央听觉系统的创新语音增强算法。
- 批准号:
RGPIN-2014-05301 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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- 批准号:61175096
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