Visual coding with a population of direction-selective neurons
Visual coding with a population of direction-selective neurons
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DOI：
10.1152/jn.00919.2014
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发表时间：
2015-10-01
影响因子：
2.5
通讯作者：
Hierlemann, Andreas
中科院分区：
文献类型：
--
作者：
Fiscella, Michele;Franke, Felix;Hierlemann, Andreas
大脑从类似于20种视网膜神经节细胞的动作电位中解码视觉场景。在视网膜神经节细胞中，方向选择性神经节细胞(DSGCs)编码运动方向。一些研究集中在通过记录多个单位的活动来编码或解码运动方向，主要是在视觉皮质。在这项研究中，我们使用基于微电子学的高密度微电极阵列(HDMEA)同时记录了兔视网膜所有四种类型的开关DSGCs，并使用概率和线性解码器解码它们的协同活动。此外，我们还研究了刺激参数(运动物体的速度、大小、角度)的修改以及使用不同的调谐曲线拟合对解码精度的影响。最后，我们基于实际数据模拟了开关DSGC的活动，以了解调谐曲线宽度和单元优先方向的角度分布对译码性能的影响。我们发现，平均而言，概率解码策略的性能优于线性方法，并且解码精度对速度等刺激参数的变化具有很强的鲁棒性。通过随机洗牌试验消除了细胞之间的噪声相关性，导致解码精度下降。此外，我们发现调谐曲线很宽，以便以较高的平均误差为代价将大误差降至最低，并且平均而言，视网膜方向选择系统不会从四种以上类型的开关DSGCs或细胞首选方向的完美对齐中获得实质性好处。
The brain decodes the visual scene from the action potentials of similar to 20 retinal ganglion cell types. Among the retinal ganglion cells, direction-selective ganglion cells (DSGCs) encode motion direction. Several studies have focused on the encoding or decoding of motion direction by recording multiunit activity, mainly in the visual cortex. In this study, we simultaneously recorded from all four types of ON-OFF DSGCs of the rabbit retina using a microelectronics-based high-density microelectrode array (HDMEA) and decoded their concerted activity using probabilistic and linear decoders. Furthermore, we investigated how the modification of stimulus parameters (velocity, size, angle of moving object) and the use of different tuning curve fits influenced decoding precision. Finally, we simulated ON-OFF DSGC activity, based on real data, in order to understand how tuning curve widths and the angular distribution of the cells' preferred directions influence decoding performance. We found that probabilistic decoding strategies outperformed, on average, linear methods and that decoding precision was robust to changes in stimulus parameters such as velocity. The removal of noise correlations among cells, by random shuffling trials, caused a drop in decoding precision. Moreover, we found that tuning curves are broad in order to minimize large errors at the expense of a higher average error, and that the retinal direction-selective system would not substantially benefit, on average, from having more than four types of ON-OFF DSGCs or from a perfect alignment of the cells' preferred directions.