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Neural computation from retina to visual cortex

从视网膜到视觉皮层的神经计算

基本信息

批准号：
8549248
负责人：
MARKUS MEISTER
金额：
$ 30.7万
依托单位：
CALIFORNIA INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2003
资助国家：
美国
起止时间：
2003-03-01 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8549248
关键词：
Action Potentials Acute Address Area Back Basic Science Brain Code Collaborations Complex Computer Simulation Development Diagnosis Discrimination Disease Electronics Eye Fiber Optics Fire - disasters Functional disorder Genetic Goals Head Human Image Language Lead Light Maps Methods Modeling Motion Neurons Neurosciences Ocular Prosthesis Optic Nerve Output Pattern Performance Photoreceptors Physiological Process Prosthesis Prosthesis Design Reporting Research Research Personnel Response to stimulus physiology Retina Retinal Retinal Degeneration Retinal Ganglion Cells Role Saccades Scheme Science Signal Transduction Speed Stream Synapses System Testing Thalamic structure Time Training Travel Ursidae Family Vision Visual Visual Cortex Visual Perception Visual system structure Work absorption area striata cell type data modeling experience falls ganglion cell improved meetings neural circuit relating to nervous system research study sample fixation tool transmission process visual coding visual information visual process visual processing

项目摘要

Project Summary This research aims at understanding how visual information is processed in the eye and brain. Vision begins in the retina, a complex network of neurons in the back of the eye where visual images are converted into streams of action potentials that travel through the fibers of the optic nerve to the brain. There the signals pass through the thalamus to the visual cortex, where much larger circuits of neurons are brought to bear. Recent research has changed our view of the retina: Whereas it used to be considered a simple prefilter for the visual image, new results suggest that the retina computes quite specific features of the scene and conveys those to the brain through many parallel channels. The proposed research will build on this work, both to further our understanding of how the retina converts images into spike trains, and to investigate how this code for visual scenes can be used by the brain for further processing. This will be addressed in a collaborative project that combines experimental as well as theoretical and computational approaches. The specific aims are: (1) to unify diverse functions of the retina under a common mathematical formalism, and use this to discover new functions; (2) to determine how our brain might process retinal signals for rapid understanding of a new scene; (3) to explain how our fine vision can be so acute, given that the eyes are never holding still. If successful, this research will offer benefits on multiple fronts. First, it will expand our notions of what a neural circuit like the retina can compute and how the information is encoded in its output, an important goal of systems neuroscience. Second, it will help resolve two mysteries of visual processing, relating to both its remarkable speed and its high acuity. Third, progress in these areas will benefit brain science in general. Many of the circuit motifs encountered in the retina are repeated in other brain areas, and may well serve similar network-level functions. Finally, an improved understanding of early visual function can change how one thinks about visual diseases and therapy. For example, it now appears that certain functions previously assigned to the visual cortex already happen in the retina; if so, then retinal dysfunction could also have much more elaborate effects on visual experience. Conversely, in efforts to treat retinal degeneration by electronic or genetic prostheses one needs to know which aspects of retinal function the prosthesis should emulate to support visual perception.

项目摘要这项研究旨在了解视觉信息是如何在眼睛和大脑中处理的。愿景始于视网膜是眼睛后部的一个复杂的神经元网络，视觉图像在这里被转换成通过视神经纤维到达大脑的动作电位流。在那里信号传递通过丘脑到达视觉皮层，在那里产生更大的神经元回路。最近研究已经改变了我们对视网膜的看法：虽然它曾经被认为是视觉的一个简单的前置过滤器，新的研究结果表明，视网膜计算场景的非常具体的特征，并将这些特征传达给大脑通过许多平行的通道。拟议的研究将建立在这项工作的基础上，既为了进一步我们的研究，了解视网膜如何将图像转换为尖峰序列，并研究这是如何编码视觉信号的。场景可以被大脑用于进一步处理。这将在一个合作项目中得到解决，结合了实验以及理论和计算方法。具体目标是：（1）统一不同的功能的视网膜下一个共同的数学形式主义，并利用这一发现新的（2）确定我们的大脑如何处理视网膜信号以快速理解新场景; (3)来解释为什么我们的视力如此敏锐，因为眼睛从来没有静止过。如果成功，这项研究将在多个方面带来好处。首先，它将扩展我们的概念，像视网膜这样的神经回路可以计算，以及信息是如何编码在其输出中的，这是一个重要的目标，系统神经科学其次，它将有助于解决视觉处理的两个谜团，速度惊人，敏锐度极高。第三，这些领域的进展将使脑科学普遍受益。许多在视网膜中遇到的电路图案在其他大脑区域重复，并且可能很好地服务于类似的功能。网络级功能。最后，对早期视觉功能的更好理解可以改变一个人的思维方式关于视觉疾病和治疗。例如，现在看来，以前分配给视网膜已经发生视觉皮质功能障碍;如果是这样，那么视网膜功能障碍还可能有更多对视觉体验的影响。相反地，在通过电子或电子显微镜治疗视网膜变性的努力中，遗传假体需要知道假体应该模仿视网膜功能的哪些方面，支持视觉感知。