Attention improves object representation in visual cortical field potentials.
Selective attention improves perception and modulates neuronal responses, but how attention-dependent changes of cortical activity improve the processing of attended objects is an open question. Changes in total signal strength or enhancements in signal-to-noise ratio have been proposed as putative mechanisms. However, it is still not clear whether, and to what extent, these processes contribute to the large perceptual improvements. We studied the ability to discriminate states of activity in visual cortex evoked by differently shaped objects depending on selective attention in monkeys. We found that gamma-band activity from V4 and V1 contains a high amount of information about stimulus shape, which increases for V4 recordings considerably with attention in successful trials, but not in case of behavioral errors. This effect resulted from enhanced differences between the stimulus-specific distributions of power spectral amplitudes. It could be explained neither by enhancements of signal-to-noise ratios, nor by changes in total signal power. Instead our results indicate that attention causes underlying cortical network states to become more distinct for different stimuli, providing a new neurophysiological explanation for improvements of behavioral performance by attention. The absence of the enhancement in discriminability in trials with behavioral errors demonstrates the relevance of this novel neural mechanism for perception.
Rotermund
David
D
Institute for Theoretical Physics, University of Bremen, Germany. davrot@neuro.uni-bremen.de
Taylor
Katja
K
Ernst
Udo A
UA
Kreiter
Andreas K
AK
Pawelzik
Klaus R
KR
D000465:Algorithms; D000818:Animals; D001288:Attention; D005074:Evoked Potentials, Visual; D008253:Macaca mulatta; D008297:Male; D008839:Microelectrodes; D009483:Neuropsychological Tests; D010775:Photic Stimulation; D013647:Task Performance and Analysis; D013997:Time Factors; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*
Annu Rev Neurosci. 2004;27:611-47
15217345
J Neurosci. 1997 May 1;17(9):3201-14
9096154
Phys Rev Lett. 1996 Jul 22;77(4):635-638
10062864
Nat Neurosci. 2006 Dec;9(12):1526-33
17115043
Nature. 2006 Feb 9;439(7077):733-6
16372022
Neuroreport. 1993 Mar;4(3):243-6
8477045
J Neurophysiol. 1989 May;61(5):900-17
2723733
Neuron. 2009 Jan 15;61(1):35-41
19146811
Trends Cogn Sci. 2005 Oct;9(10):474-80
16150631
J Neurosci. 2000 Jul 15;20(14):5461-7
10884329
Nature. 2000 Mar 9;404(6774):187-90
10724171
J Comp Neurol. 1981 Oct 1;201(4):519-39
7287933
Neuron. 2000 Jun;26(3):703-14
10896165
Neuron. 1999 Aug;23(4):765-73
10482242
Neuron. 2007 Jul 5;55(1):131-41
17610822
Eur J Neurosci. 1990;2(7):588-606
12106294
Vision Res. 1997 Jan;37(1):25-43
9068829
Int Rev Neurobiol. 1971 Jul;15:227-72
4949975
Neural Comput. 2000 May;12(5):1207-45
10905814
Trends Neurosci. 1998 Nov;21(11):453-60
9829684
IEEE Trans Biomed Eng. 1984 May;31(5):419-27
6430785
J Neurosci. 2008 Apr 30;28(18):4823-35
18448659
Vis Neurosci. 2001 Jul-Aug;18(4):527-40
11829299
J Exp Psychol Hum Percept Perform. 1981 Apr;7(2):275-85
6453922
Science. 2002 Jun 7;296(5574):1829-32
12052948
Nat Neurosci. 2009 Jan;12(1):70-6
19029885
Science. 2006 Jun 16;312(5780):1622-7
16778049
Neural Comput. 2001 Jul;13(7):1443-71
11440593
IEEE Trans Biomed Eng. 1984 Dec;31(12):833-50
6396209
Curr Biol. 2004 May 4;14(9):744-51
15120065
Nature. 1996 Aug 8;382(6591):539-41
8700227
Neuron. 2003 Feb 6;37(3):513-23
12575957
J Neurosci. 2006 Jul 26;26(30):7779-90
16870724
J Neurosci. 1999 Jan 1;19(1):431-41
9870971
Eur J Neurosci. 1990;2(7):607-619
12106295
J Neurosci. 1988 Jun;8(6):1831-45
3385477
J Neurosci. 1999 Mar 1;19(5):1736-53
10024360
Science. 1985 Aug 23;229(4715):782-4
4023713
Science. 2007 Jun 15;316(5831):1609-12
17569862
Nat Neurosci. 2006 Sep;9(9):1156-60
16906153
Science. 2005 Apr 22;308(5721):529-34
15845848
Science. 2001 Feb 23;291(5508):1560-3
11222864
Cereb Cortex. 2005 Sep;15(9):1424-37
15659657
Annu Rev Neurosci. 1995;18:555-86
7605074
Cogn Psychol. 1992 Oct;24(4):502-34
1473333
Nature. 2000 Nov 16;408(6810):361-5
11099043
IEEE Trans Biomed Eng. 1987 Apr;34(4):283-8
3504202
Electroencephalogr Clin Neurophysiol. 1997 Nov;103(5):499-515
9402881
Science. 2008 Apr 4;320(5872):110-3
18388295
J Neurophysiol. 1993 Sep;70(3):909-19
8229178