Suppr超能文献

相似文献

1
Integrating modality-specific expectancies for the deployment of spatial attention.
Sci Rep. 2018 Jan 19;8(1):1210. doi: 10.1038/s41598-018-19593-7.
2
Spatial Attention, Motor Intention, and Bayesian Cue Predictability in the Human Brain.
J Neurosci. 2017 May 24;37(21):5334-5344. doi: 10.1523/JNEUROSCI.3255-16.2017. Epub 2017 Apr 27.
3
Interactions between voluntary and stimulus-driven spatial attention mechanisms across sensory modalities.
J Cogn Neurosci. 2009 Dec;21(12):2384-97. doi: 10.1162/jocn.2008.21178.
4
Cholinergic stimulation enhances Bayesian belief updating in the deployment of spatial attention.
J Neurosci. 2014 Nov 19;34(47):15735-42. doi: 10.1523/JNEUROSCI.0091-14.2014.
6
Space-independent modality-driven attentional capture in auditory, tactile and visual systems.
Exp Brain Res. 2004 Apr;155(3):301-10. doi: 10.1007/s00221-003-1724-x. Epub 2003 Dec 5.
7
The impact of probabilistic feature cueing depends on the level of cue abstraction.
Exp Brain Res. 2016 Mar;234(3):685-94. doi: 10.1007/s00221-015-4487-2. Epub 2015 Nov 19.
8
The role of crossmodal competition and dimensional overlap in crossmodal attention switching.
Acta Psychol (Amst). 2015 Feb;155:67-76. doi: 10.1016/j.actpsy.2014.12.006. Epub 2015 Jan 8.
9
Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention.
J Neurosci. 2015 Aug 19;35(33):11532-42. doi: 10.1523/JNEUROSCI.1382-15.2015.
10
The role of preparation and cue-modality in crossmodal task switching.
Acta Psychol (Amst). 2010 Jul;134(3):318-22. doi: 10.1016/j.actpsy.2010.03.004.

引用本文的文献

1
Non-spatial inhibition of return attenuates audiovisual integration owing to modality disparities.
Atten Percept Psychophys. 2024 Oct;86(7):2315-2328. doi: 10.3758/s13414-023-02825-y. Epub 2023 Dec 20.
3
What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective.
Front Integr Neurosci. 2020 Feb 27;14:10. doi: 10.3389/fnint.2020.00010. eCollection 2020.

本文引用的文献

1
Spatial Attention, Motor Intention, and Bayesian Cue Predictability in the Human Brain.
J Neurosci. 2017 May 24;37(21):5334-5344. doi: 10.1523/JNEUROSCI.3255-16.2017. Epub 2017 Apr 27.
2
Functional mechanisms of probabilistic inference in feature- and space-based attentional systems.
Neuroimage. 2016 Nov 15;142:553-564. doi: 10.1016/j.neuroimage.2016.08.010. Epub 2016 Aug 11.
3
Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention.
J Neurosci. 2015 Aug 19;35(33):11532-42. doi: 10.1523/JNEUROSCI.1382-15.2015.
4
Cortical hierarchies perform Bayesian causal inference in multisensory perception.
PLoS Biol. 2015 Feb 24;13(2):e1002073. doi: 10.1371/journal.pbio.1002073. eCollection 2015 Feb.
5
Bayesian model selection for group studies - revisited.
Neuroimage. 2014 Jan 1;84:971-85. doi: 10.1016/j.neuroimage.2013.08.065. Epub 2013 Sep 7.
6
Using Arduino microcontroller boards to measure response latencies.
Behav Res Methods. 2013 Dec;45(4):1332-46. doi: 10.3758/s13428-013-0336-z.
7
Spatial attention, precision, and Bayesian inference: a study of saccadic response speed.
Cereb Cortex. 2014 Jun;24(6):1436-50. doi: 10.1093/cercor/bhs418. Epub 2013 Jan 14.
8
Bayesian model selection for group studies.
Neuroimage. 2009 Jul 15;46(4):1004-17. doi: 10.1016/j.neuroimage.2009.03.025. Epub 2009 Mar 20.
9
Generalized linear mixed models: a practical guide for ecology and evolution.
Trends Ecol Evol. 2009 Mar;24(3):127-35. doi: 10.1016/j.tree.2008.10.008.
10
Integrated Bayesian models of learning and decision making for saccadic eye movements.
Neural Netw. 2008 Nov;21(9):1247-60. doi: 10.1016/j.neunet.2008.08.007. Epub 2008 Sep 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验