A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum.
A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum.
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DOI：
10.3389/fncir.2017.00088
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发表时间：
2017
影响因子：
3.5
通讯作者：
Meyer MP
中科院分区：
文献类型：
--
作者：
Abbas F;Triplett MA;Goodhill GJ;Meyer MP
引起视网膜方向选择性的电路机制已被广泛研究，但方向选择性是如何在大脑的retinorecipient区域建立的还不太清楚。使用功能成像在幼斑马鱼，我们研究的方向是如何编码的视顶盖的三层神经元的群体，视网膜神经节细胞轴突（RGCs），一层的表面抑制性中间神经元（SIN），和室周神经元（PVNs），这构成了大多数的神经元在顶盖。我们表明，运动方向的表示是在每一层进行变换。在RGCs和SIN的水平上，运动的方向由三个方向选择性（DS）亚型编码，这些亚型被调谐为向上、向下和尾侧-吻侧运动。然而，SIN的调谐是显着狭窄，这导致了一个显着的差距，在表示运动的喙尾方向上的SIN的水平。与以前的研究结果相一致，我们证明，在PVNs的水平上，运动的方向是由四种DS细胞类型编码的，其中包括一个额外的DS PVN细胞类型调整到喙尾运动。引人注目的是，这种新兴的细胞类型的调谐配置文件重叠的差距在代表的喙尾运动在SIN的水平。使用我们的功能成像数据，我们构建了一个简单的计算模型，该模型演示了PVN的新兴群体是如何通过顶盖网络每层细胞的相互作用产生的。该模型预测，PVN调整到喙尾运动可以通过收敛的DS RGCs调整到向上和向下的运动和前馈调谐抑制通过SIN抑制非首选方向的反应。因此，通过重塑从视网膜继承的方向性调谐，来自SIN的抑制性输入可以生成DS PVN的新亚型，并且这样做增强了方向性刺激的编码。
The circuit mechanisms that give rise to direction selectivity in the retina have been studied extensively but how direction selectivity is established in retinorecipient areas of the brain is less well understood. Using functional imaging in larval zebrafish we examine how the direction of motion is encoded by populations of neurons at three layers of the optic tectum; retinal ganglion cell axons (RGCs), a layer of superficial inhibitory interneurons (SINs), and periventricular neurons (PVNs), which constitute the majority of neurons in the tectum. We show that the representation of motion direction is transformed at each layer. At the level of RGCs and SINs the direction of motion is encoded by three direction-selective (DS) subtypes tuned to upward, downward, and caudal-to-rostral motion. However, the tuning of SINs is significantly narrower and this leads to a conspicuous gap in the representation of motion in the rostral-to-caudal direction at the level of SINs. Consistent with previous findings we demonstrate that, at the level of PVNs the direction of motion is encoded by four DS cell types which include an additional DS PVN cell type tuned to rostral-to-caudal motion. Strikingly, the tuning profile of this emergent cell type overlaps with the gap in the representation of rostral-to-caudal motion at the level of SINs. Using our functional imaging data we constructed a simple computational model that demonstrates how the emergent population of PVNs is generated by the interactions of cells at each layer of the tectal network. The model predicts that PVNs tuned to rostral-to-caudal motion can be generated via convergence of DS RGCs tuned to upward and downward motion and feedforward tuned inhibition via SINs which suppresses responses to non-preferred directions. Thus, by reshaping directional tuning that is inherited from the retina inhibitory inputs from SINs can generate a novel subtype of DS PVN and in so doing enhance the encoding of directional stimuli.
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影响因子：
3.5
作者：
Engert, Florian
通讯作者：
Engert, Florian
影响因子：
--
作者：
Luque, MA;Pérez-Pérez, MP;Torres, B
通讯作者：
Torres, B
影响因子：
16.2
作者：
Nikolaou, Nikolas;Lowe, Andrew S.;Meyer, Martin P.
通讯作者：
Meyer, Martin P.
DOI：
10.1523/jneurosci.0907-11.2011
发表时间：
2011-05-25
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Kay JN;De la Huerta I;Kim IJ;Zhang Y;Yamagata M;Chu MW;Meister M;Sanes JR
通讯作者：
Sanes JR
影响因子：
9.2
作者：
Preuss, Stephanie J.;Trivedi, Chintan A.;Bollmann, Johann H.
通讯作者：
Bollmann, Johann H.