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Feedback generates a second receptive field in neurons of the visual cortex 期刊论文
NATURE, 2020
作者:  Shi, Enzheng;  Yuan, Biao;  Shiring, Stephen B.;  Gao, Yao;  Akriti;  Guo, Yunfan;  Su, Cong;  Lai, Minliang;  Yang, Peidong;  Kong, Jing;  Savoie, Brett M.;  Yu, Yi;  Dou, Letian
收藏  |  浏览/下载:45/0  |  提交时间:2020/07/03

Animals sense the environment through pathways that link sensory organs to the brain. In the visual system, these feedforward pathways define the classical feedforward receptive field (ffRF), the area in space in which visual stimuli excite a neuron(1). The visual system also uses visual context-the visual scene surrounding a stimulus-to predict the content of the stimulus(2), and accordingly, neurons have been identified that are excited by stimuli outside their ffRF(3-8). However, the mechanisms that generate excitation to stimuli outside the ffRF are unclear. Here we show that feedback projections onto excitatory neurons in the mouse primary visual cortex generate a second receptive field that is driven by stimuli outside the ffRF. The stimulation of this feedback receptive field (fbRF) elicits responses that are slower and are delayed in comparison with those resulting from the stimulation of the ffRF. These responses are preferentially reduced by anaesthesia and by silencing higher visual areas. Feedback inputs from higher visual areas have scattered receptive fields relative to their putative targets in the primary visual cortex, which enables the generation of the fbRF. Neurons with fbRFs are located in cortical layers that receive strong feedback projections and are absent in the main input layer, which is consistent with a laminar processing hierarchy. The observation that large, uniform stimuli-which cover both the fbRF and the ffRF-suppress these responses indicates that the fbRF and the ffRF are mutually antagonistic. Whereas somatostatin-expressing inhibitory neurons are driven by these large stimuli, inhibitory neurons that express parvalbumin and vasoactive intestinal peptide have mutually antagonistic fbRF and ffRF, similar to excitatory neurons. Feedback projections may therefore enable neurons to use context to estimate information that is missing from the ffRF and to report differences in stimulus features across visual space, regardless of whether excitation occurs inside or outside the ffRF. By complementing the ffRF, the fbRF that we identify here could contribute to predictive processing.


Feedback projections onto neurons of the mouse primary visual cortex generate a second excitatory receptive field that is driven by stimuli outside of the classical feedforward receptive field, with responses mediated by higher visual areas.


  
Information-Based Machine Learning for Tracer Signature Prediction in Karstic Environments 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mewes, B.;  Oppel, H.;  Marx, V.;  Hartmann, A.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Machine learning  entropy  information content  karst  hydrograph separation  
Using geo-tagged Instagram posts to reveal landscape values around current and proposed hydroelectric dams and their reservoirs 期刊论文
LANDSCAPE AND URBAN PLANNING, 2018, 170: 283-292
作者:  Chen, Yan;  Parkins, John R.;  Sherren, Kate
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Landscape values  Hydroelectric dam  User generated content social media  Instagram  Geographic information  Spatial analysis  
Sense size-dependent dust loading and emission from space using reflected solar and infrared spectral measurements: An observation system simulation experiment 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (15)
作者:  Xu, Xiaoguang;  Wang, Jun;  Wang, Yi;  Henze, Daven K.;  Zhang, Li;  Grell, Georg A.;  McKeen, Stuart A.;  Wielicki, Bruce A.
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
OSSE  size-dependent dust emission  CLARREO  UV-VIS-NIR-IR spectrum  inverse modeling  information content  
Information content of visible and midinfrared radiances for retrieving tropical ice cloud properties 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (9)
作者:  Chang, Kai-Wei;  39;Ecuyer, Tristan S.
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
information content  AIRS  MODIS  ice clouds  cirrus  channel selection