Stimulus ensemble and cortical layer determine V1 spatial receptive fields.
The concept of receptive field is a linear, feed-forward view of visual signal processing. Frequently used models of V1 neurons, like the dynamic Linear filter--static nonlinearity--Poisson [corrected] spike encoder model, predict that receptive fields measured with different stimulus ensembles should be similar. Here, we tested this concept by comparing spatiotemporal maps of V1 neurons derived from two very different, but commonly used, stimulus ensembles: sparse noise and Hartley subspace stimuli. We found maps from the two methods agreed for neurons in input layer 4C but were very different for neurons in superficial layers of V1. Many layer 2/3 cells have receptive fields with multiple elongated subregions when mapped with Hartley stimuli, but their spatial maps collapse to only a single, less-elongated subregion when mapped with sparse noise. Moreover, for upper layer V1 neurons, the preferred orientation for Hartley maps is much closer to the preferred orientation measured with drifting gratings than is the orientation preference of sparse-noise maps. These results challenge the concept of a stimulus-invariant receptive field and imply that intracortical interactions shape fundamental properties of layer 2/3 neurons.
Yeh
Chun-I
CI
Center for Neural Science, New York University, New York, NY 10003, USA. ciy@cns.nyu.edu
Xing
Dajun
D
Williams
Patrick E
PE
Shapley
Robert M
RM
D000465:Algorithms; D000818:Animals; D001921:Brain / Q000166:cytology / Q000502:physiology; D001931:Brain Mapping; D004567:Electrodes, Implanted; D004594:Electrophysiology; D008252:Macaca fascicularis; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D013028:Space Perception / Q000502:physiology*; D014793:Visual Cortex / Q000166:cytology / Q000502:physiology*; D014794:Visual Fields / Q000502:physiology*
Nature. 2006 Feb 23;439(7079):936-42
16495990
J Neurophysiol. 2002 Nov;88(5):2557-74
12424294
Nat Neurosci. 2005 Mar;8(3):372-9
15711543
J Neurosci. 2002 Jul 1;22(13):5639-51
12097515
Annu Rev Neurosci. 1998;21:47-74
9530491
J Neurophysiol. 2006 Nov;96(5):2253-64
16855115
J Physiol. 1962 Jan;160:106-54
14449617
J Physiol. 1968 Mar;195(1):215-43
4966457
Neuron. 2002 Dec 5;36(5):969-78
12467599
J Neurosci. 1988 Oct;8(10):3541-8
3193169
J Neurophysiol. 2002 Jul;88(1):455-63
12091567
Annu Rev Neurosci. 1988;11:253-88
3284442
J Neurosci. 1984 Mar;4(3):880-95
6200586
IEEE Trans Biomed Eng. 1968 Jul;15(3):169-79
5667803
Neuron. 2005 Jun 16;46(6):945-56
15953422
J Neurosci Methods. 1995 Dec;63(1-2):43-54
8788047
J Neurophysiol. 1993 Apr;69(4):1118-35
8492152
J Physiol. 2004 Aug 1;558(Pt 3):717-28
15155794
J Neurophysiol. 2003 Aug;90(2):946-60
12711706
J Neurophysiol. 2007 Feb;97(2):1326-41
17079343
J Neurophysiol. 1993 Apr;69(4):1091-117
8492151
J Vis. 2002;2(1):12-24
12678594
Vis Neurosci. 1991 Mar;6(3):239-55
2054326
Nature. 1995 Nov 16;378(6554):281-4
7477347
J Neurosci. 2005 Nov 16;25(46):10577-97
16291931
J Neurophysiol. 1987 Dec;58(6):1187-211
3437330
J Neurosci. 1985 Dec;5(12):3329-49
3001242
J Neurophysiol. 2006 Jan;95(1):379-400
16148274
Vis Neurosci. 1996 Sep-Oct;13(5):907-22
8903033
J Physiol. 1977 Jun;268(2):391-421
874916
Neuron. 2003 Feb 20;37(4):663-80
12597863
J Neurosci. 2004 Aug 4;24(31):6991-7006
15295035
J Neurophysiol. 2005 Jun;93(6):3524-36
15647396
J Neurophysiol. 1987 Dec;58(6):1233-58
3437332
Vision Res. 1997 Sep;37(17):2455-64
9381680
J Neurophysiol. 2007 Jan;97(1):407-14
17021020
J Neurosci. 2007 May 23;27(21):5706-18
17522315
Vis Neurosci. 1997 Nov-Dec;14(6):1015-27
9447685
Vis Neurosci. 1992 Aug;9(2):181-97
1504027