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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.


  
Experimental and Model-Based Investigation of the Effect of the Free-Surface Flow Regime on the Detection Threshold of Warm Water Inflows 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Le Lay, Hugo;  Thomas, Zahra;  Bour, Olivier;  Rouault, Francois;  Pichelin, Pascal;  Moatar, Florentina
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/02
groundwater  river  quantifying  flow regime  laminar  temperature  
Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (13) : 7034-7052
作者:  Wang, Tao;  Wu, Dong L.;  Gong, Jie;  Tsai, Victoria
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
laminar cirrus  ice water content (IWC)  water vapor (H2O)  TTL  tropopause  total water budget  
Turbulent and Laminar Flow in Karst Conduits Under Unsteady Flow Conditions: Interpretation of Pumping Tests by Discrete Conduit-Continuum Modeling 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (3) : 1918-1933
作者:  Giese, M.;  Reimann, T.;  Bailly-Comte, V.;  Marechal, J. -C.;  Sauter, M.;  Geyer, T.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
karst  pumping test analysis  turbulent flow  laminar flow  
Reconciling the Reynolds number dependence of scalar roughness length and laminar resistance 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (7)
作者:  Li, Dan;  Rigden, Angela;  Salvucci, Guido;  Liu, Heping
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
scalar roughness length  laminar resistance  Reynolds number  scaling