Banerjee Sreya, Scheirer Walter J, Li Lei
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States.
Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States.
Front Comput Neurosci. 2019 Feb 26;13:3. doi: 10.3389/fncom.2019.00003. eCollection 2019.
We propose a computational model of vision that describes the integration of cross-modal sensory information between the olfactory and visual systems in zebrafish based on the principles of the statistical extreme value theory. The integration of olfacto-retinal information is mediated by the centrifugal pathway that originates from the olfactory bulb and terminates in the neural retina. Motivation for using extreme value theory stems from physiological evidence suggesting that extremes and not the mean of the cell responses direct cellular activity in the vertebrate brain. We argue that the visual system, as measured by retinal ganglion cell responses in spikes/sec, follows an extreme value process for sensory integration and the increase in visual sensitivity from the olfactory input can be better modeled using extreme value distributions. As zebrafish maintains high evolutionary proximity to mammals, our model can be extended to other vertebrates as well.
我们提出了一种视觉计算模型,该模型基于统计极值理论的原理,描述了斑马鱼嗅觉和视觉系统之间跨模态感官信息的整合。嗅觉-视网膜信息的整合由源自嗅球并终止于神经视网膜的离心通路介导。使用极值理论的动机源于生理学证据,表明在脊椎动物大脑中,细胞反应的极值而非平均值指导细胞活动。我们认为,以视网膜神经节细胞每秒发放的脉冲数来衡量的视觉系统,遵循用于感官整合的极值过程,并且来自嗅觉输入的视觉敏感性增加可以使用极值分布更好地建模。由于斑马鱼与哺乳动物在进化上保持着高度的亲缘关系,我们的模型也可以扩展到其他脊椎动物。