Cessac Bruno, Kornprobst Pierre, Kraria Selim, Nasser Hassan, Pamplona Daniela, Portelli Geoffrey, Viéville Thierry
Biovision Team, Inria, Université Côte d'AzurSophia Antipolis, France.
Inria, Mnemosyne Project TeamBordeaux, France.
Front Neuroinform. 2017 Sep 1;11:49. doi: 10.3389/fninf.2017.00049. eCollection 2017.
The retina encodes visual scenes by trains of action potentials that are sent to the brain via the optic nerve. In this paper, we describe a new free access user-end software allowing to better understand this coding. It is called PRANAS (https://pranas.inria.fr), standing for Platform for Retinal ANalysis And Simulation. PRANAS targets neuroscientists and modelers by providing a unique set of retina-related tools. PRANAS integrates a retina simulator allowing large scale simulations while keeping a strong biological plausibility and a toolbox for the analysis of spike train population statistics. The statistical method (entropy maximization under constraints) takes into account both spatial and temporal correlations as constraints, allowing to analyze the effects of memory on statistics. PRANAS also integrates a tool computing and representing in 3D (time-space) receptive fields. All these tools are accessible through a friendly graphical user interface. The most CPU-costly of them have been implemented to run in parallel.
视网膜通过一系列动作电位对视觉场景进行编码,这些动作电位通过视神经发送到大脑。在本文中,我们描述了一种新的免费访问的用户端软件,它能让人更好地理解这种编码方式。该软件名为PRANAS(https://pranas.inria.fr),即视网膜分析与模拟平台。PRANAS通过提供一套独特的与视网膜相关的工具,面向神经科学家和建模人员。PRANAS集成了一个视网膜模拟器,可进行大规模模拟,同时保持较强的生物学合理性,还集成了一个用于分析脉冲序列群体统计数据的工具箱。统计方法(约束条件下的熵最大化)将空间和时间相关性都作为约束条件考虑在内,从而能够分析记忆对统计数据的影响。PRANAS还集成了一个以三维(时空)方式计算和表示感受野的工具。所有这些工具都可通过友好的图形用户界面访问。其中计算量最大的工具已实现并行运行。