Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.

Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
复制标题

DOI:
10.1371/journal.pone.0127547
复制
发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Rotter S
Rotter S
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Sadeh S;Clopath C;Rotter S

文献摘要

参考文献

相似文献

虽然在眼睛睁开时是非特异性的,但啮齿动物视觉皮层中的网络在眼睛睁开后获得非随机结构,具有相似偏好取向的神经元之间的连接的特定偏好。由于方向选择性已经存在于睁眼时,因此尚不清楚网络布线中的这种特异性如何有助于特征选择性。使用大规模抑制主导的尖峰网络作为模型,我们表明,功能特定的连接导致前馈调谐的线性放大,与最近的电生理单神经元记录在啮齿动物新皮层一致。我们的研究结果表明,最佳的扩增是在特定的连接的中间制度。在这种配置中,观察到成对相关性的适度增加,与最近的实验结果一致。此外,我们观察到,功能特定的连接导致出现的方向选择性混响活动,并需要在网络响应模式完成。我们的理论分析提供了一个机械的理解子网络的视觉刺激的反应,并投射光的制度的操作中存在的特定连接的感觉皮层。
Although non-specific at the onset of eye opening, networks in rodent visual cortex attain a non-random structure after eye opening, with a specific bias for connections between neurons of similar preferred orientations. As orientation selectivity is already present at eye opening, it remains unclear how this specificity in network wiring contributes to feature selectivity. Using large-scale inhibition-dominated spiking networks as a model, we show that feature-specific connectivity leads to a linear amplification of feedforward tuning, consistent with recent electrophysiological single-neuron recordings in rodent neocortex. Our results show that optimal amplification is achieved at an intermediate regime of specific connectivity. In this configuration a moderate increase of pairwise correlations is observed, consistent with recent experimental findings. Furthermore, we observed that feature-specific connectivity leads to the emergence of orientation-selective reverberating activity, and entails pattern completion in network responses. Our theoretical analysis provides a mechanistic understanding of subnetworks’ responses to visual stimuli, and casts light on the regime of operation of sensory cortices in the presence of specific connectivity.
DOI: 10.1016/j.neuron.2011.02.025
发表时间: 2011-03-24
期刊: Neuron
影响因子: 16.2
作者:
Fino E;Yuste R
通讯作者: Yuste R
DOI: 10.1038/nature11665
发表时间: 2013-01-03
期刊: Nature
影响因子: 64.8
作者:
通讯作者: --
DOI: 10.1038/nn.3494
发表时间: 2013-09
影响因子: 25
作者:
Li, Ya-tang;Ibrahim, Leena A.;Liu, Bao-hua;Zhang, Li I.;Tao, Huizhong Whit
通讯作者: Tao, Huizhong Whit
DOI: 10.1038/nn.2876
发表时间: 2011-07-17
影响因子: 25
作者:
Hofer SB;Ko H;Pichler B;Vogelstein J;Ros H;Zeng H;Lein E;Lesica NA;Mrsic-Flogel TD
通讯作者: Mrsic-Flogel TD
DOI: 10.1016/j.neuron.2012.08.029
发表时间: 2012-11-08
期刊: Neuron
影响因子: 16.2
作者:
Hansen BJ;Chelaru MI;Dragoi V
通讯作者: Dragoi V