Attention Improves Transfer of Motion Information between V1 and MT

被引:35
作者
Saproo, Sameer [1 ,2 ,3 ]
Serences, John T. [3 ,4 ]
机构
[1] NYU, Dept Psychol, New York, NY 10003 USA
[2] NYU, Ctr Neural Sci, New York, NY 10003 USA
[3] Univ Calif San Diego, Dept Psychol, San Diego, CA 92093 USA
[4] Univ Calif San Diego, Neurosci Grad Program, San Diego, CA 92093 USA
关键词
correlations; fMRI; gain; information theory; MT; HUMAN VISUAL-CORTEX; AREA MT; POPULATION CODES; STRIATE CORTEX; CORTICAL AREAS; CHANNEL NOISE; RESPONSES; NEURONS; BOLD; V4;
D O I
10.1523/JNEUROSCI.3484-13.2014
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Selective attention modulates activity within individual visual areas; however, the role of attention in mediating the transfer of information between areas is not well understood. Here, we used fMRI to assess attention-related changes in coupled BOLD activation in two key areas of human visual cortex that are involved in motion processing: V1 and MT. To examine attention-related changes in cross-area coupling, multivoxel patterns in each visual area were decomposed to estimate the trial-by-trial response amplitude in a set of direction-selective "channels." In both V1 and MT, BOLD responses increase in direction-selective channels tuned to the attended direction of motion and decrease in channels tuned away from the attended direction. Furthermore, the modulation of cross-area correlations between similarly tuned populations is inversely related to the modulation of their mean responses, an observation that can be explained via a feedforward motion computation in MT and a modulation of local noise correlations in V1. More importantly, these modulations accompany an increase in the cross-area mutual information between direction-selective response patterns in V1 and MT, suggesting that attention improves the transfer of sensory information between cortical areas that cooperate to support perception. Finally, our model suggests that divisive normalization of neural activity in V1 before its integration by MT is critical to cross-area information coupling, both in terms of cross-area correlation as well as cross-area mutual information.
引用
收藏
页码:3586 / 3596
页数:11
相关论文
共 61 条
  • [1] The effect of correlated variability on the accuracy of a population code
    Abbott, LF
    Dayan, P
    [J]. NEURAL COMPUTATION, 1999, 11 (01) : 91 - 101
  • [2] Combining Feature Selection and Integration-A Neural Model for MT Motion Selectivity
    Beck, Cornelia
    Neumann, Heiko
    [J]. PLOS ONE, 2011, 6 (07):
  • [3] Structure and function of visual area MT
    Born, RT
    Bradley, DC
    [J]. ANNUAL REVIEW OF NEUROSCIENCE, 2005, 28 : 157 - 189
  • [4] Linear systems analysis of functional magnetic resonance imaging in human V1
    Boynton, GM
    Engel, SA
    Glover, GH
    Heeger, DJ
    [J]. JOURNAL OF NEUROSCIENCE, 1996, 16 (13) : 4207 - 4221
  • [5] Synergy in a neural code
    Brenner, N
    Strong, SP
    Koberle, R
    Bialek, W
    van Steveninck, RRD
    [J]. NEURAL COMPUTATION, 2000, 12 (07) : 1531 - 1552
  • [6] Spatial attention improves reliability of fMRI retinotopic mapping signals in occipital and parietal cortex
    Bressler, David W.
    Silver, Michael A.
    [J]. NEUROIMAGE, 2010, 53 (02) : 526 - 533
  • [7] Attention enhances synaptic efficacy and the signal-to-noise ratio in neural circuits
    Briggs, Farran
    Mangun, George R.
    Usrey, W. Martin
    [J]. NATURE, 2013, 499 (7459) : 476 - +
  • [8] Cross-orientation suppression in human visual cortex
    Brouwer, Gijs Joost
    Heeger, David J.
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2011, 106 (05) : 2108 - 2119
  • [9] Decoding and Reconstructing Color from Responses in Human Visual Cortex
    Brouwer, Gijs Joost
    Heeger, David J.
    [J]. JOURNAL OF NEUROSCIENCE, 2009, 29 (44) : 13992 - 14003
  • [10] Chai B, 2009, ADV NEURAL INFORM PR, V22, P279