A spiking thalamus model for form and motion processing of images

Suhas E. Chelian, N. Srinivasa
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引用次数: 2

Abstract

The thalamus, far from being a simple relay, supports several functions including attention and awareness. Recent spiking models of the thalamus tend to focus on abstract thalamocortical features such as rhythms and synchrony. Here a new spiking retino-thalamic model is presented that reproduces several aspects in visual processing including distinct form and motion processing pathways. Using test and natural image sequences, differences between parvocellular and magnocellular relay neurons are studied. In line with several experimental results, parvocellular neurons are found to be more sensitive to changes in color (necessary for form processing) than temporal frequency (necessary for motion processing) and conversely for magnocellular neurons. This model can in turn be used as input into subsequent cortical models or as a tool to aid in experimentation. Future extensions could include modeling brainstem or cortical influence on thalamic processing, as well as the control of virtual agents.
一种用于图像形式和运动处理的尖峰丘脑模型
丘脑远不是一个简单的中继器,它支持包括注意力和意识在内的几种功能。最近的丘脑峰值模型倾向于关注抽象的丘脑皮质特征,如节奏和同步性。本文提出了一个新的视网膜-丘脑尖峰模型,该模型再现了视觉加工的几个方面,包括不同的形式和运动加工途径。利用测试和自然图像序列,研究了细小细胞和大细胞中继神经元之间的差异。根据几个实验结果,细小细胞神经元对颜色变化(形式处理所必需的)比时间频率变化(运动处理所必需的)更敏感,而对大细胞神经元则相反。该模型可作为后续皮层模型的输入,或作为辅助实验的工具。未来的扩展可能包括模拟脑干或皮层对丘脑处理的影响,以及虚拟代理的控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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