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作 者:王松伟[1] 张涛[1] 师丽[2] WANG Song-wei;ZHANG Tao;SHI Li(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;Department of Automation,Tsinghua University ,Beijing 100084,China)
机构地区:[1]郑州大学电气工程学院,郑州450001 [2]清华大学自动化系,北京100084
出 处:《科学技术与工程》2019年第3期55-61,共7页Science Technology and Engineering
基 金:国家自然科学基金(U1304602);河南省科技攻关计划项目(162102310167);河南省脑科学与脑机接口技术重点实验室开放基金(HNBBL17005)资助
摘 要:感知系统神经科学的一个基本目标是刻画刺激和神经元响应之间的功能性关系。空间统一白噪声(spatial uniform white noise,SUN)刺激包含了丰富的时间变化信息,SUN刺激下的神经响应揭示了其时间编码属性。基于视网膜神经节细胞-视顶盖(retinal ganglion cells-optic tectum,RGC-OT)神经回路的信息整合假设,提出了信鸽视顶盖浅中层ON-OFF神经元SUN刺激响应的双滤波器半波整流模型,用于SUN刺激响应的预报。为解决凸优化问题,利用二次曲线对半波整流进行近似,将双滤波器模型转换为广义二次模型(generalized quadratic model,GQM),然后进行优化,预报结果表明二次模型与传统的线性-非线性-泊松分布(linear nolinear possion,LNP)模型相比较,获得了更好的预报效果。该结果也验证了OT神经元以不同的通路进行时变的亮度增强和降低的信息处理的假设。One of the central problems in systems neuroscience is that of characterizing the functional relationship between sensory stimuli and neural spike responses.Spatial uniform white noise(SUN)stimulation is rich in temporal variation and the neural response to SUN stimulation reveals its temporal encoding properties.Based on the information integration hypothesis of retinal ganglion cells-optic tectum(RGC-OT)neural circuits,a double-filter half-wave rectification model was proposed to predict the responses of ON-OFF neurons to SUN stimulus in the optic tectum.In order to solve the convex optimization problem,a quadratic curve was used to approximate the half-wave rectification and the double-filter model was transformed into a generalized quadratic model(GQM)under the constraint of linear matrix inequalities.The forecast results showed that the quadratic model had better predictive power than the classical linear nolinear possion(LNP)model.This result also supports the information integration hypothesis that OT neurons process time-varying information about brightness enhancement and reduction via different pathways.
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