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Real-Time Emulator for Reproducing Graded Potentials in Vertebrate Retina

机译:实时仿真器,可在脊椎动物视网膜中重现渐变电位

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摘要

In most parts of the retina, neuronal circuits process visual signals represented by slowly changing membrane potentials, or so-called graded potentials. A feasible approach to speculate about the functional roles of retinal neuronal circuits is to reproduce the graded potentials of retinal neurons in response to natural scenes. In this study, we developed a simulation platform for reproducing graded potentials with the following features: real-time reproduction of retinal neural activities in response to natural scenes, a configurable model structure, and compact hardware. The spatio-temporal properties of neurons were emulated efficiently by a mixed analog-digital architecture that consisted of analog resistive networks and a field-programmable gate array. The neural activities on sustained and transient pathways were emulated from 128128 inputs at 200 frames per second.
机译:在视网膜的大部分区域,神经元回路处理视觉信号,这些信号由缓慢变化的膜电位或所谓的梯度电位表示。推测视网膜神经元回路功能作用的一种可行方法是,根据自然场景重现视网膜神经元的分级电位。在这项研究中,我们开发了一个模拟平台,用于再现具有以下特征的分级电势:响应自然场景实时再现视网膜神经活动,可配置的模型结构和紧凑的硬件。通过由模拟电阻网络和现场可编程门阵列组成的混合模数架构,可以有效地模拟神经元的时空特性。从128128个输入以每秒200帧的速度模拟了持续和短暂途径的神经活动。

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