Rats and humans differ in processing collinear visual features

Frontiers in Neural Circuits

Volumn 7, Issue DEC, 2013, Pages

  Meier, Philip M ^a   Reinagel, Pamela ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Attention; Collinearity; Contrast; Cortical computation; Flanker task; Psychophysics; Rodent; Visual perception

Indexed keywords

ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ARTICLE; ATTENTION; COLLINEAR FLANKING; CONTRAST MASKING; HUMAN; HUMAN EXPERIMENT; HUMAN VERSUS ANIMAL COMPARISON; INFORMATION PROCESSING; MALE; NONHUMAN; PATTERN RECOGNITION; PSYCHOPHYSICS; SIGNAL DETECTION; SPECIES DIFFERENCE; TASK PERFORMANCE; VISUAL ACUITY; VISUAL DISCRIMINATION; VISUAL STIMULATION; ANIMAL; COMPARATIVE STUDY; CONTRAST SENSITIVITY; ORIENTATION; PHOTOSTIMULATION; PHYSIOLOGY; RAT; VISION; VISUAL CORTEX; COLLINEARITY; CONTRAST; CORTICAL COMPUTATION; FLANKER TASK; RODENT;

ANIMALS; ATTENTION; CONTRAST SENSITIVITY; HUMANS; ORIENTATION; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; RATS; VISUAL CORTEX; VISUAL PERCEPTION;

ATTENTION; COLLINEARITY; CONTRAST; CORTICAL COMPUTATION; FLANKER TASK; PSYCHOPHYSICS; RODENT; VISUAL PERCEPTION;

EID: 84890450640     PISSN: 16625110     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncir.2013.00197     Document Type: Article

References (39)

1. Alemi-Neissi, A., Rosselli, F., and Zoccolan, D. (2013). Multifeatural shape processing in rats engaged in invariant visual object recognition. J. Neurosci. 33, 5939-5956. doi: 10.1523/JNEUROSCI.3629-12.2013
2. Andermann, M., Kerlin, A., Roumis, D., Glickfeld, L., and Reid, R. (2011). Functional specialization of mouse higher visual cortical areas. Neuron 72, 1025-1039. doi: 10.1016/j.neuron.2011.11.013
3. Barlow, H. (1961). Possible principles underlying the transformation of sensory messages. Sensory Commun. Available at: http://www.trin.cam.ac.uk/horacebarlow/21.pdf
4. Birch, D., and Jacobs, G. H. (1979). Spatial contrast sensitivity in albino and pigmented rats. Vision Res. 19, 933-937. doi: 10.1016/0042-6989(79)90029-4
5. Bonin, V., Histed, M. H., Yurgenson, S., and Reid, R. C. (2011). Local diversity and fine-scale organization of receptive fields in mouse visual cortex. J. Neurosci. 31, 18506-185021. doi: 10.1523/JNEUROSCI.2974-11.2011
6. Bussey, T. J., Padain, T. L., Skillings, E. A., Winters, B. D., Morton, A. J., and Saksida, L. M. (2008). The touchscreen cognitive testing method for rodents: how to get the best out of your rat. Learn. Mem. 15, 516-523. doi:10.1101/lm.987808
7. Bussey, T. J., Saksida, L. M., and Rothblat, L. A. (2001). Discrimination of computer-graphic stimuli by mice: a method for the behavioral characterization of transgenic and gene-knockout models. Behav. Neurosci. 115, 957-960. doi: 10.1037/0735-7044.115.4.957
8. Chelazzi, L., Rossi, F., Tempia, F., Ghirardi, M., and Strata, P. (1989). Saccadic eye movements and gaze holding in the head-restrained pigmented rat. Eur. J. Neurosci. 1, 639-646. doi: 10.1111/j.1460-9568.1989.tb00369.x
9. Chen, C., and Tyler, C. W. (2002). Lateral modulation of contrast discrimination: flanker orientation effects. J. Vis. 2, 520-530. doi: 10.1167/2.6.8
10. Chen, C., and Tyler, C. W. (2008). Excitatory and inhibitory interaction fields of flankers revealed by contrast-masking functions. J. Vis. 8, 10.1-10.14. doi: 10.1167/8.4.10
11. Coen-Cagli, R., Dayan, P., and Schwartz, O. (2012). Cortical surround interactions and perceptual salience via natural scene statistics. PLoS Comput. Biol. 8:e1002405. doi:10.1371/journal.pcbi.1002405
12. Dean, P. (1981). Visual pathways and acuity hooded rats. Behav. Brain Res. 3, 239-271. doi: 10.1016/0166-4328(81)90050-4
13. Freeman, E., Sagi, D., and Driver, J. (2001). Lateral interactions between targets and flankers in low-level vision depend on attention to the flankers. Nat. Neurosci. 4, 1032-1036. doi: 10.1038/nn728
14. Haider, B., Häusser, M., and Carandini, M. (2013). Inhibition dominates sensory responses in the awake cortex. Nature 493, 97-100. doi: 10.1038/nature11665
15. Huberman, A., and Niell, C. (2011). What can mice tell us about how vision works? Trends Neurosci. 34, 464-473. doi: 10.1016/j.tins.2011.07.002
16. Keller, J., Strasburger, H., Cerutti, D. T., and Sabel, B. A. (2000). Assessing spatial vision-automated measurement of the contrast-sensitivity function in the hooded rat. J. Neurosci. Methods 97, 103-110. doi: 10.1016/S0165-0270(00)00173-4
17. Kimble, T., and Williams, R. (2000). Structure of the cone photoreceptor mosaic in the retinal periphery of adult humans: analysis as a function of age, sex, and hemifield. Anat. Embryol. 201, 305-316. doi: 10.1007/s004290050319
18. Lashley, K. S. (1930). The mechanisms of vision. I. A method for rapid analysis of pattern-vision in the rat. J. Genet. Psychol. 37, 453-460. doi:10.1080/08856559.1930.9944155
19. Levi, D. M. (2008). Crowding: an essential bottleneck for object recognition: a mini-review. Vision Res. 48, 635-654. doi: 10.1016/j.visres.2007.12.009
20. Levi, D. M., and Carney, T. (2011). The effect of flankers on three tasks in central, peripheral, and amblyopic vision. J. Vis. 11, 10. doi: 10.1167/11.1.10
21. Meier, P., Flister, E., and Reinagel, P. (2011). Collinear features impair visual detection by rats. J. Vis. 11. doi:10.1167/11.3.22
22. Meier, P., and Reinagel, P. (2011). Rat performance on visual detection task modeled with divisive normalization and adaptive decision thresholds. J. Vis. 11, pii: 1. doi: 10.1167/11.9.1
23. Niell, C., and Stryker, M. (2008). Highly selective receptive fields in mouse visual cortex. J. Neurosci. 28, 7520-7536. doi: 10.1523/JNEUROSCI.0623-08.2008
24. Ohki, K., Chung, S., Ch'ng, Y., Kara, P., and Reid, R. (2005). Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex. Nature 433, 597-603. doi: 10.1038/nature03274
25. Olshausen, B. A., and Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609. doi: 10.1038/381607a0
26. Ortín-Martínez, A., Jiménez-López, M., Nadal-Nicolás, F., Salinas-Navarro, M., Alarcón-Martínez, L., Sauvé, Y., et al. (2010). Automated quantification and topographical distribution of the whole population of S-and L-cones in adult albino and pigmented rats. Invest. Ophthalmol. Vis. Sci. 51, 3171-3183. doi: 10.1167/iovs.09-4861
27. Petrov, Y., Verghese, P., and McKee, S. (2006). Collinear facilitation is largely uncertainty reduction. J. Vis. 6, 170-178. doi: 10.1167/6.2.8
28. Polat, U., Mizobe, K., Pettet, M. W., Kasamatsu, T., and Norcia, A. M. (1998). Collinear stimuli regulate visual responses depending on cell's contrast threshold. Nature 391, 580-584. doi: 10.1038/35372
29. Polat, U., and Sagi, D. (2007). The relationship between the subjective and objective aspects of visual filling-in. Vision Res. 47, 2473-2481. doi: 10.1016/j.visres.2007.06.007
30. Reid, R. (2012). From functional architecture to functional connectomics. Neuron 75, 209-217. doi: 10.1016/j.neuron.2012.06.031
31. Ruderman, D., and Bialek, W. (1994). Statistics of natural images: scaling in the woods. Phys. Rev. Lett. 73, 814-817. doi: 10.1103/PhysRevLett.73.814
32. Seriès, P., Lorenceau, J., and Frégnac, Y. (2003). The silent surround of V1 receptive fields: theory and experiments. J. Physiol. Paris 97, 453-474. doi: 10.1016/j.jphysparis.2004.01.023
33. Simoncelli, E. P., and Olshausen, B. A. (2001). Natural image statistics and neural representation. Annu. Rev. Neurosci. 24, 1193-1216. doi: 10.1146/annurev.neuro.24.1.1193
34. Tolhurst, D. J., Tadmor, Y., and Chao, T. (1992). Amplitude spectra of natural images. Ophthalmic Physiol. Opt. 12, 229-232. doi: 10.1111/j.1475-1313.1992.tb00296.x
35. van den Bergh, G., Zhang, B., Arckens, L., and Chino, Y. M. (2010). Receptive-field properties of V1 and V2 neurons in mice and macaque monkeys. J. Comp. Neurol. 518, 2051-2070. doi: 10.1002/cne.22321
36. van der Schaaf, A., and van Hateren, J. H. (1996). Modelling the power spectra of natural images: statistics and information. Vision Res. 36, 2759-2770. doi: 10.1016/0042-6989(96)00002-8
37. Wiesenfeld, Z., and Branchek, T. (1976). Refractive state and visual acuity in the hooded rat. Vision Res. 16, 823-827. doi: 10.1016/0042-6989(76)90142-5
38. Williams, C. B., and Hess, R. F. (1998). Relationship between facilitation at threshold and suprathreshold contour integration. J. Opt. Soc. Am. 15, 2046-2051. doi: 10.1364/JOSAA.15.002046
39. Zarrinpar, A., and Callaway, E. M. (2006). Local connections to specific types of layer 6 neurons in the rat visual cortex. J. Neurophysiol. 95, 1751-1761. doi: 10.1152/jn.00974.2005