title: Neural correlates of reliability-based cue weighting during multisensory integration.
abstract: Integration of multiple sensory cues is essential for precise and accurate perception and behavioral performance, yet the reliability of sensory signals can vary across modalities and viewing conditions. Human observers typically employ the optimal strategy of weighting each cue in proportion to its reliability, but the neural basis of this computation remains poorly understood. We trained monkeys to perform a heading discrimination task from visual and vestibular cues, varying cue reliability randomly. The monkeys appropriately placed greater weight on the more reliable cue, and population decoding of neural responses in the dorsal medial superior temporal area closely predicted behavioral cue weighting, including modest deviations from optimality. We found that the mathematical combination of visual and vestibular inputs by single neurons is generally consistent with recent theories of optimal probabilistic computation in neural circuits. These results provide direct evidence for a neural mechanism mediating a simple and widespread form of statistical inference.
authors.affiliation: Department of Anatomy and Neurobiology, Washington University School of Medicine, Saint Louis, Missouri, USA. crfetsch@u.washington.edu
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Fetsch
authors.forename: Alexandre
authors.initials: A
authors.lastname: Pouget
authors.forename: Gregory C
authors.initials: GC
authors.lastname: DeAngelis
authors.forename: Dora E
authors.initials: DE
authors.lastname: Angelaki
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D003220:Conflict, Psychological; D003463:Cues; D019416:Head Movements / Q000502:physiology; D008253:Macaca mulatta; D008959:Models, Neurological; D009039:Motion Perception / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D011434:Proprioception / Q000502:physiology*; D014722:Vestibule, Labyrinth / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*
references.citation: J Neurophysiol. 2007 Sep;98(3):1115-24
references.pmid: 17615139
references.citation: Vis Neurosci. 2006 Jan-Feb;23(1):49-60
references.pmid: 16597350
references.citation: J Neurosci. 2007 Sep 5;27(36):9742-56
references.pmid: 17804635
references.citation: Eur J Neurosci. 2002 Oct;16(8):1569-86
references.pmid: 12405971
references.citation: J Neurosci. 2009 Dec 9;29(49):15601-12
references.pmid: 20007484
references.citation: J Opt Soc Am A Opt Image Sci Vis. 2003 Jul;20(7):1391-7
references.pmid: 12868643
references.citation: Vis Neurosci. 1993 Nov-Dec;10(6):1157-69
references.pmid: 8257671
references.citation: Vision Res. 1995 Feb;35(3):389-412
references.pmid: 7892735
references.citation: J Neurophysiol. 2010 Sep;104(3):1506-22
references.pmid: 20631212
references.citation: J Vis. 2004 Dec 01;4(12):967-92
references.pmid: 15669906
references.citation: Neuron. 2010 May 27;66(4):596-609
references.pmid: 20510863
references.citation: Nat Neurosci. 2007 Aug;10(8):1038-47
references.pmid: 17618278
references.citation: J Neurosci. 2006 Jan 4;26(1):73-85
references.pmid: 16399674
references.citation: J Neurophysiol. 1998 Oct;80(4):1816-27
references.pmid: 9772241
references.citation: J Neurosci. 1998 Aug 1;18(15):5958-75
references.pmid: 9671682
references.citation: Psychol Bull. 2007 Jul;133(4):625-37
references.pmid: 17592958
references.citation: J Neurosci. 1983 Dec;3(12):2563-86
references.pmid: 6655500
references.citation: J Comp Neurol. 1995 Mar 6;353(2):291-305
references.pmid: 7745137
references.citation: J Opt Soc Am A Opt Image Sci Vis. 2005 May;22(5):801-9
references.pmid: 15898539
references.citation: J Neurophysiol. 1988 Aug;60(2):580-603
references.pmid: 3171643
references.citation: Cereb Cortex. 1991 Jan-Feb;1(1):1-47
references.pmid: 1822724
references.citation: Nat Neurosci. 2011 Jun;14(6):775-82
references.pmid: 21552274
references.citation: Vision Res. 1999 Oct;39(21):3621-9
references.pmid: 10746132
references.citation: Vision Res. 1993 Dec;33(18):2685-96
references.pmid: 8296465
references.citation: J Neurosci. 1996 Oct 1;16(19):6265-85
references.pmid: 8815907
references.citation: PLoS One. 2007 Sep 26;2(9):e943
references.pmid: 17895984
references.citation: Neural Netw. 2008 Jun;21(5):774-85
references.pmid: 18280109
references.citation: Exp Brain Res. 1997 Oct;117(1):1-16
references.pmid: 9386000
references.citation: J Comp Neurol. 2000 Dec 4;428(1):112-37
references.pmid: 11058227
references.citation: Vision Res. 2003 Nov;43(24):2539-58
references.pmid: 13129541
references.citation: Neuron. 2008 Aug 28;59(4):662-73
references.pmid: 18760701
references.citation: J Neurophysiol. 1989 Sep;62(3):626-41
references.pmid: 2769351
references.citation: Trends Neurosci. 2004 Dec;27(12):712-9
references.pmid: 15541511
references.citation: J Neurosci. 2011 Aug 17;31(33):12036-52
references.pmid: 21849564
references.citation: Curr Biol. 2004 Feb 3;14(3):257-62
references.pmid: 14761661
references.citation: Percept Psychophys. 2001 Nov;63(8):1293-313
references.pmid: 11800458
references.citation: J Neurophysiol. 1996 Oct;76(4):2790-3
references.pmid: 8899646
references.citation: Nat Neurosci. 2006 Nov;9(11):1432-8
references.pmid: 17057707
references.citation: Nat Neurosci. 2006 May;9(5):690-6
references.pmid: 16617339
references.citation: Curr Biol. 2002 May 14;12(10):834-7
references.pmid: 12015120
references.citation: Nature. 2002 Jan 24;415(6870):429-33
references.pmid: 11807554
references.citation: Nat Neurosci. 2008 Oct;11(10):1201-10
references.pmid: 18776893
references.citation: J Vis. 2007 May 23;7(7):5.1-24
references.pmid: 17685801