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Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model

机译:自然连续和点状视觉中早期视觉系统中的相对尖峰时间编码和基于STDP的方向选择性:一种计算模型

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We have built a phenomenological spiking model of the cat early visual system comprising the retina, the Lateral Geniculate Nucleus (LGN) and V1 's layer 4, and established four main results (1) When exposed to videos that reproduce with high fidelity what a cat experiences under natural conditions, adjacent Retinal Ganglion Cells (RGCs) have spike-time correlations at a short timescale (~30 ms), despite neuronal noise and possible jitter accumulation. (2) In accordance with recent experimental findings, the LGN filters out some noise. It thus increases the spike reliability and temporal precision, the sparsity, and, importantly, further decreases down to ~15 ms adjacent cells' correlation timescale. (3) Downstream simple cells in V1's layer 4, if equipped with Spike Timing-Dependent Plasticity (STDP), may detect these fine-scale cross-correlations, and thus connect principally to ON- and OFF-centre cells with Receptive Fields (RF) aligned in the visual space, and thereby become orientation selective, in accordance with Hubel and Wiesel (Journal of Physiology 160:106-154, 1962) classic model. Up to this point we dealt with continuous vision, and there was no absolute time reference such as a stimulus onset, yet information was encoded and decoded in the relative spike times. (4) We then simulated saccades to a static image and benchmarked relative spike time coding and time-to-first spike coding w.r.t. to saccade landing in the context of orientation representation. In both the retina and the LGN, relative spike times are more precise, less affected by pre-landing history and global contrast than absolute ones, and lead to robust contrast invariant orientation representations in VI.
机译:我们建立了包括视网膜,外侧膝状核(LGN)和V1层4在内的猫早期视觉系统的现象学峰值模型,并建立了四个主要结果(1)暴露于高保真度再现的视频中,猫在自然条件下的经历,尽管神经元噪声和可能的抖动积累,相邻的视网膜神经节细胞(RGC)在较短的时间范围内(〜30 ms)具有尖峰时间相关性。 (2)根据最近的实验结果,LGN过滤掉了一些噪声。因此,它提高了尖峰可靠性和时间精度,稀疏性,并且重要的是,进一步降低了相邻小区相关时间尺度的〜15 ms。 (3)如果V1的第4层中的下游简单单元格配备了基于Spike Timing-计时相关的可塑性(STDP),则可以检测到这些精细的互相关性,从而主要连接到具有接收场(RF)的ON和OFF中心单元格上。 )在经典的模型中根据Hubel和Wiesel(Journal of Physiology 160:106-154,1962)在视觉空间中对齐,从而变得具有方向选择性。到目前为止,我们处理的是连续视觉,还没有绝对的时间参考(例如刺激发作),但是信息是以相对的尖峰时间进行编码和解码的。 (4)然后我们将扫视运动模拟成静态图像,并确定基准的相对尖峰时间编码和首次尖峰时间编码w.r.t.在定向表示的背景下扫视着陆。在视网膜和LGN中,相对尖峰时间都更精确,与绝对值相比,着陆历史和全局对比度的影响更小,并且可以在VI中获得可靠的对比度不变方向表示。

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