Suppr超能文献

基于空间和特征的注意力对V4神经元反应的联合效应。

Combined effects of spatial and feature-based attention on responses of V4 neurons.

作者信息

Hayden Benjamin Y, Gallant Jack L

机构信息

Department of Molecular and Cell Biology, University of California, Berkeley, 94720, USA.

出版信息

Vision Res. 2009 Jun;49(10):1182-7. doi: 10.1016/j.visres.2008.06.011. Epub 2008 Aug 3.

Abstract

Attention is thought to be controlled by a specialized fronto-parietal network that modulates the responses of neurons in sensory and association cortex. However, the principles by which this network affects the responses of these sensory and association neurons remains unknown. In particular, it remains unclear whether different forms of attention, such as spatial and feature-based attention, independently modulate responses of single neurons. We recorded responses of single V4 neurons in a task that controls both forms of attention independently. We find that the combined effects of spatial and feature-based attention can be described as the sum of independent processes with a small super-additive interaction term. This pattern of effects demonstrates that the spatial and feature-based aspects of the attentional control system can independently affect responses of single neurons. These results are consistent with the idea that spatial and feature-based attention are controlled by distinct neural substrates whose effects combine synergistically to influence responses of visual neurons.

摘要

注意力被认为是由一个专门的额顶叶网络控制的,该网络调节感觉皮层和联合皮层中神经元的反应。然而,这个网络影响这些感觉神经元和联合神经元反应的原理仍然未知。特别是,目前尚不清楚不同形式的注意力,如空间注意力和基于特征的注意力,是否独立调节单个神经元的反应。我们在一个能独立控制这两种注意力形式的任务中记录了单个V4神经元的反应。我们发现,空间注意力和基于特征的注意力的联合效应可以描述为独立过程的总和,带有一个小的超加性交互项。这种效应模式表明,注意力控制系统的空间和基于特征的方面可以独立影响单个神经元的反应。这些结果与以下观点一致,即空间注意力和基于特征的注意力由不同的神经基质控制,其效应协同结合以影响视觉神经元的反应。

相似文献

1
Combined effects of spatial and feature-based attention on responses of V4 neurons.
Vision Res. 2009 Jun;49(10):1182-7. doi: 10.1016/j.visres.2008.06.011. Epub 2008 Aug 3.
2
Combining spatial and feature-based attention within the receptive field of MT neurons.
Vision Res. 2009 Jun;49(10):1188-93. doi: 10.1016/j.visres.2009.04.003. Epub 2009 Apr 10.
3
Attention to both space and feature modulates neuronal responses in macaque area V4.
J Neurophysiol. 2000 Mar;83(3):1751-5. doi: 10.1152/jn.2000.83.3.1751.
4
Spatial attention and the latency of neuronal responses in macaque area V4.
J Neurosci. 2007 Sep 5;27(36):9632-7. doi: 10.1523/JNEUROSCI.2734-07.2007.
5
Feature-based attention in the frontal eye field and area V4 during visual search.
Neuron. 2011 Jun 23;70(6):1205-17. doi: 10.1016/j.neuron.2011.04.032.
6
Using neuronal populations to study the mechanisms underlying spatial and feature attention.
Neuron. 2011 Jun 23;70(6):1192-204. doi: 10.1016/j.neuron.2011.04.029.
8
Spatial attention in area V4 is mediated by circuits in primary visual cortex.
Neural Netw. 2009 Oct;22(8):1039-54. doi: 10.1016/j.neunet.2009.07.010. Epub 2009 Jul 18.
9
Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex.
J Neurophysiol. 1997 Jan;77(1):24-42. doi: 10.1152/jn.1997.77.1.24.
10
How spatial and feature-based attention affect the gain and tuning of population responses.
Vision Res. 2009 Jun;49(10):1194-204. doi: 10.1016/j.visres.2008.05.025. Epub 2008 Jul 18.

引用本文的文献

1
Stimulus representations in visual cortex shaped by spatial attention and microsaccades.
Proc Natl Acad Sci U S A. 2025 Jun 3;122(22):e2420704122. doi: 10.1073/pnas.2420704122. Epub 2025 May 27.
2
Representational structures as a unifying framework for attention.
Trends Cogn Sci. 2024 May;28(5):416-427. doi: 10.1016/j.tics.2024.01.002. Epub 2024 Jan 27.
4
Microstimulation of visual area V4 improves visual stimulus detection.
Cell Rep. 2022 Sep 20;40(12):111392. doi: 10.1016/j.celrep.2022.111392.
5
Spatial and Feature-selective Attention Have Distinct, Interacting Effects on Population-level Tuning.
J Cogn Neurosci. 2022 Jan 5;34(2):290-312. doi: 10.1162/jocn_a_01796.
7
Flexible top-down modulation in human ventral temporal cortex.
Neuroimage. 2020 Sep;218:116964. doi: 10.1016/j.neuroimage.2020.116964. Epub 2020 May 18.
8
Attention in Psychology, Neuroscience, and Machine Learning.
Front Comput Neurosci. 2020 Apr 16;14:29. doi: 10.3389/fncom.2020.00029. eCollection 2020.
10
Parallel attentional facilitation of features and objects in early visual cortex.
Psychophysiology. 2020 Mar;57(3):e13498. doi: 10.1111/psyp.13498. Epub 2019 Nov 6.

本文引用的文献

1
Typologies of attentional networks.
Nat Rev Neurosci. 2006 May;7(5):367-79. doi: 10.1038/nrn1903.
2
Synergistic effect of combined temporal and spatial expectations on visual attention.
J Neurosci. 2005 Sep 7;25(36):8259-66. doi: 10.1523/JNEUROSCI.1821-05.2005.
4
Uncertainty, neuromodulation, and attention.
Neuron. 2005 May 19;46(4):681-92. doi: 10.1016/j.neuron.2005.04.026.
5
Natural stimulus statistics alter the receptive field structure of v1 neurons.
J Neurosci. 2004 Aug 4;24(31):6991-7006. doi: 10.1523/JNEUROSCI.1422-04.2004.
6
Attentional modulation of visual processing.
Annu Rev Neurosci. 2004;27:611-47. doi: 10.1146/annurev.neuro.26.041002.131039.
7
Control of object-based attention in human cortex.
Cereb Cortex. 2004 Dec;14(12):1346-57. doi: 10.1093/cercor/bhh095. Epub 2004 May 27.
9
Visuomotor origins of covert spatial attention.
Neuron. 2003 Nov 13;40(4):671-83. doi: 10.1016/s0896-6273(03)00716-5.
10
Cortical mechanisms of feature-based attentional control.
Cereb Cortex. 2003 Dec;13(12):1334-43. doi: 10.1093/cercor/bhg080.

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