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Volumn 9, Issue 4, 2009, Pages

Adaptive precision pooling of model neuron activities predicts the efficiency of human visual learning

Author keywords

Computational modeling; Depth; Learning

Indexed keywords

ADAPTATION; ARTICLE; ARTIFACT; ATTENTION; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LEARNING; METHODOLOGY; NERVE CELL; NORMAL DISTRIBUTION; PERCEPTIVE DISCRIMINATION; PHOTOSTIMULATION; PHYSIOLOGY; PREDICTION AND FORECASTING; VISION;

EID: 65449150266     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.4.22     Document Type: Article
Times cited : (36)

References (59)
  • 1
    • 0036977557 scopus 로고    scopus 로고
    • Abbey, C. K., & Eckstein, M. P. (2002). Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments. Journal of Vision, 2(1):5, 66-78, http://journalofvision.org/2/1/5/, doi:10.1167/2.1.5.
    • Abbey, C. K., & Eckstein, M. P. (2002). Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments. Journal of Vision, 2(1):5, 66-78, http://journalofvision.org/2/1/5/, doi:10.1167/2.1.5.
  • 4
    • 0036974726 scopus 로고    scopus 로고
    • Journal of Vision, 2
    • 1:8, doi:10.1167/2.1.8
    • Ahumada, A. J., Jr. (2002). Classification image weights and internal noise level estimation. Journal of Vision, 2(1):8, 121-131, http://journalofvision.org/2/1/8/, doi:10.1167/2.1.8.
    • (2002) , pp. 121-131
    • Ahumada Jr., A.J.1
  • 5
    • 70449138408 scopus 로고
    • Increment thresholds at low intensities considered as signal/noise discriminations
    • Barlow, H. B. (1957). Increment thresholds at low intensities considered as signal/noise discriminations. Journal of Physiology (London), 136, 469-488.
    • (1957) Journal of Physiology (London) , vol.136 , pp. 469-488
    • Barlow, H.B.1
  • 6
    • 0000853640 scopus 로고
    • The neuron doctrine in perception
    • M. S. Gazzaniga Ed, Cambridge, MA: MIT Press
    • Barlow, H. B. (1995). The neuron doctrine in perception. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (pp. 415-435). Cambridge, MA: MIT Press.
    • (1995) The cognitive neurosciences , pp. 415-435
    • Barlow, H.B.1
  • 8
    • 85012688561 scopus 로고
    • Princeton, NJ: Princeton University Press
    • Bellman, R. E. (1957). Dynamic programming. Princeton, NJ: Princeton University Press.
    • (1957) Dynamic programming
    • Bellman, R.E.1
  • 10
    • 0027180633 scopus 로고
    • Shape from texture: Ideal observers and human psychophysics
    • Blake, A., Bülthoff, H. H., & Sheinberg, D. (1993). Shape from texture: Ideal observers and human psychophysics. Vision Research, 33, 1723-1737.
    • (1993) Vision Research , vol.33 , pp. 1723-1737
    • Blake, A.1    Bülthoff, H.H.2    Sheinberg, D.3
  • 11
    • 0023149046 scopus 로고
    • Visual orientation and spatial frequency discrimination: A comparison of single neurons and behavior
    • Bradley, A., Skottun, B. C., Ohzawa, I., Sclar, G., & Freeman, R. D. (1987). Visual orientation and spatial frequency discrimination: A comparison of single neurons and behavior. Journal of Neurophysiology, 57, 755-772.
    • (1987) Journal of Neurophysiology , vol.57 , pp. 755-772
    • Bradley, A.1    Skottun, B.C.2    Ohzawa, I.3    Sclar, G.4    Freeman, R.D.5
  • 12
    • 0030050457 scopus 로고    scopus 로고
    • A relationship between behavioral choice and the visual responses of neurons in macaque MT
    • Britten, K. H., Newsome, W. T., Shadlen, M. N., Celebrini, S., & Movshon, J. A. (1996). A relationship between behavioral choice and the visual responses of neurons in macaque MT. Visual Neuroscience, 13, 87-100.
    • (1996) Visual Neuroscience , vol.13 , pp. 87-100
    • Britten, K.H.1    Newsome, W.T.2    Shadlen, M.N.3    Celebrini, S.4    Movshon, J.A.5
  • 13
    • 0002881359 scopus 로고
    • Orthogonal distribution analysis: A new approach to the study of texture perception
    • M. S. Landy & J. A. Movshon Eds, Cambridge, MA: MIT Press
    • Chubb, C., & Landy, M. S. (1991). Orthogonal distribution analysis: A new approach to the study of texture perception. In M. S. Landy & J. A. Movshon (Eds.), Computational models of visual processing (pp. 291-301). Cambridge, MA: MIT Press.
    • (1991) Computational models of visual processing , pp. 291-301
    • Chubb, C.1    Landy, M.S.2
  • 14
    • 0036157119 scopus 로고    scopus 로고
    • Attentional control of texture orientation judgments
    • Chubb, C., & Talevich, J. (2002). Attentional control of texture orientation judgments. Vision Research, 42, 311-330.
    • (2002) Vision Research , vol.42 , pp. 311-330
    • Chubb, C.1    Talevich, J.2
  • 15
    • 0027470059 scopus 로고
    • Effects of different texture cues on curved surfaces viewed stereoscopically
    • Cumming, B. G., Johnston, E. B., & Parker, A. J. (1993). Effects of different texture cues on curved surfaces viewed stereoscopically. Vision Research, 33, 827-838.
    • (1993) Vision Research , vol.33 , pp. 827-838
    • Cumming, B.G.1    Johnston, E.B.2    Parker, A.J.3
  • 18
  • 19
    • 0032988922 scopus 로고    scopus 로고
    • Mechanisms of perceptual learning
    • Dosher, B. A., & Lu, Z.-L. (1999). Mechanisms of perceptual learning. Vision Research, 39, 3197-3221.
    • (1999) Vision Research , vol.39 , pp. 3197-3221
    • Dosher, B.A.1    Lu, Z.-L.2
  • 20
    • 26044471722 scopus 로고    scopus 로고
    • Eckstein, M. P., Abbey, C. K., Pham, B. T., & Shimozaki, S. S. (2004). Perceptual learning through optimization of attentional weighting: Human versus optimal Bayesian learner. Journal of Vision, 4(12):3, 1006-1019, http://journalofvision.org/4/12/3/, doi:10.1167/4.12.3.
    • Eckstein, M. P., Abbey, C. K., Pham, B. T., & Shimozaki, S. S. (2004). Perceptual learning through optimization of attentional weighting: Human versus optimal Bayesian learner. Journal of Vision, 4(12):3, 1006-1019, http://journalofvision.org/4/12/3/, doi:10.1167/4.12.3.
  • 21
    • 25144433270 scopus 로고    scopus 로고
    • Journal of Vision, 4
    • 10:4, doi:10.1167/4.10.4
    • Fahle, M. (2004). Perceptual learning: A case for early selection. Journal of Vision, 4(10):4, 879-890, http://journalofvision.org/ 4/10/4/, doi:10.1167/4.10.4.
    • (2004) , pp. 879-890
    • Fahle, M.1
  • 22
    • 0029087095 scopus 로고
    • Fast perceptual learning in hyperacuity
    • Fahle, M., Edelman, S., & Poggio, T. (1995). Fast perceptual learning in hyperacuity. Vision Research, 35, 3003-3013.
    • (1995) Vision Research , vol.35 , pp. 3003-3013
    • Fahle, M.1    Edelman, S.2    Poggio, T.3
  • 23
    • 0019302778 scopus 로고
    • Perceptual learning specific for orientation and spatial frequency
    • Fiorentini, A., & Berardi, N. (1980). Perceptual learning specific for orientation and spatial frequency. Nature, 287, 43-44.
    • (1980) Nature , vol.287 , pp. 43-44
    • Fiorentini, A.1    Berardi, N.2
  • 24
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-Hebbian learning
    • Földiák, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological Cybernetics, 64, 165-170.
    • (1990) Biological Cybernetics , vol.64 , pp. 165-170
    • Földiák, P.1
  • 25
    • 0024652875 scopus 로고
    • Sequential ideal-observer analysis of visual discriminations
    • Geisler, W. S. (1989). Sequential ideal-observer analysis of visual discriminations. Psychological Review, 96, 267-314.
    • (1989) Psychological Review , vol.96 , pp. 267-314
    • Geisler, W.S.1
  • 26
    • 34249290925 scopus 로고
    • Perceptual learning; differentiation or enrichment?
    • Gibson, J. J., & Gibson, E. J. (1955). Perceptual learning; differentiation or enrichment? Psychological Review, 62, 32-41.
    • (1955) Psychological Review , vol.62 , pp. 32-41
    • Gibson, J.J.1    Gibson, E.J.2
  • 27
    • 0033547445 scopus 로고    scopus 로고
    • Signal but not noise changes with perceptual learning
    • Gold, J., Bennett, P. J., & Sekuler, A. B. (1999). Signal but not noise changes with perceptual learning. Nature, 402, 176-178.
    • (1999) Nature , vol.402 , pp. 176-178
    • Gold, J.1    Bennett, P.J.2    Sekuler, A.B.3
  • 28
    • 1842565185 scopus 로고    scopus 로고
    • Characterizing perceptual learning with external noise
    • Gold, J., Sekuler, A. B., & Bennett, P. J. (2004). Characterizing perceptual learning with external noise. Cognitive Science, 28, 167-207.
    • (2004) Cognitive Science , vol.28 , pp. 167-207
    • Gold, J.1    Sekuler, A.B.2    Bennett, P.J.3
  • 31
    • 0026904517 scopus 로고
    • Normalization of cell responses in cat striate cortex
    • Heeger, D. J. (1992). Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9, 181-197.
    • (1992) Visual Neuroscience , vol.9 , pp. 181-197
    • Heeger, D.J.1
  • 32
    • 0037028040 scopus 로고    scopus 로고
    • View from the top: Hierarchies and reverse hierarchies in the visual system
    • Hochstein, S., & Ahissar, M. (2002). View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron, 36, 791-804.
    • (2002) Neuron , vol.36 , pp. 791-804
    • Hochstein, S.1    Ahissar, M.2
  • 33
    • 34247389262 scopus 로고    scopus 로고
    • A new perceptual illusion reveals mechanisms of sensory decoding
    • Jazayeri, M., & Movshon, J. A. (2007). A new perceptual illusion reveals mechanisms of sensory decoding. Nature, 446, 912-915.
    • (2007) Nature , vol.446 , pp. 912-915
    • Jazayeri, M.1    Movshon, J.A.2
  • 35
    • 0031871525 scopus 로고    scopus 로고
    • Ideal observer perturbation analysis reveals human strategies for inferring surface orientation from texture
    • Knill, D. C. (1998). Ideal observer perturbation analysis reveals human strategies for inferring surface orientation from texture. Vision Research, 38, 2635-2656.
    • (1998) Vision Research , vol.38 , pp. 2635-2656
    • Knill, D.C.1
  • 36
    • 41149146041 scopus 로고    scopus 로고
    • Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
    • Law, C.-T., & Gold, J. I. (2008). Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area. Nature Neuroscience, 11, 505-513.
    • (2008) Nature Neuroscience , vol.11 , pp. 505-513
    • Law, C.-T.1    Gold, J.I.2
  • 37
    • 0037452922 scopus 로고    scopus 로고
    • The cost of cortical computation
    • Lennie, P. (2003). The cost of cortical computation. Current Biology, 13, 493-497.
    • (2003) Current Biology , vol.13 , pp. 493-497
    • Lennie, P.1
  • 38
    • 0036976618 scopus 로고    scopus 로고
    • Levi, D. M., & Klein, S. A. (2002). Classification images for detection and position discrimination in the fovea and parafovea. Journal of Vision, 2(1):4, 46-65, http://journalofvision.org/2/ 1/4/, doi:10.1167/2.1.4.
    • Levi, D. M., & Klein, S. A. (2002). Classification images for detection and position discrimination in the fovea and parafovea. Journal of Vision, 2(1):4, 46-65, http://journalofvision.org/2/ 1/4/, doi:10.1167/2.1.4.
  • 39
    • 0033991342 scopus 로고    scopus 로고
    • Mechanisms of generalization in perceptual learning
    • Liu, Z., & Weinshall, D. (2000). Mechanisms of generalization in perceptual learning. Vision Research, 40, 97-109.
    • (2000) Vision Research , vol.40 , pp. 97-109
    • Liu, Z.1    Weinshall, D.2
  • 40
    • 33646935438 scopus 로고    scopus 로고
    • Journal of Vision, 6
    • 4:12, doi:10.1167/6.4.12
    • Lu, H., & Liu, Z. (2006). Computing dynamic classification images from correlation maps. Journal of Vision, 6(4):12, 475-483, http://journalofvision.org/6/4/12/, doi:10.1167/6.4.12.
    • (2006) , pp. 475-483
    • Lu, H.1    Liu, Z.2
  • 42
    • 39749101307 scopus 로고    scopus 로고
    • Michel, M. M., & Jacobs, R. A. (2008). Learning optimal integration of arbitrary features in a perceptual discrimination task. Journal of Vision, 8(2):3, 1-16, http://journalofvision.org/8/2/3/, doi:10.1167/ 8.2.3.
    • Michel, M. M., & Jacobs, R. A. (2008). Learning optimal integration of arbitrary features in a perceptual discrimination task. Journal of Vision, 8(2):3, 1-16, http://journalofvision.org/8/2/3/, doi:10.1167/ 8.2.3.
  • 43
    • 16644380084 scopus 로고    scopus 로고
    • Precision pooling predicts primate perceptual performance
    • Nadler, J. W., & DeAngelis, G. C. (2005). Precision pooling predicts primate perceptual performance. Nature Neuroscience, 8, 12-13.
    • (2005) Nature Neuroscience , vol.8 , pp. 12-13
    • Nadler, J.W.1    DeAngelis, G.C.2
  • 44
    • 0025100474 scopus 로고
    • Stereoscopic depth discrimination in the visual cortex: Neurons ideally suited as disparity detectors
    • Ohzawa, I., DeAngelis, G. C., & Freeman, R. D. (1990). Stereoscopic depth discrimination in the visual cortex: Neurons ideally suited as disparity detectors. Science, 249, 1037-1041.
    • (1990) Science , vol.249 , pp. 1037-1041
    • Ohzawa, I.1    DeAngelis, G.C.2    Freeman, R.D.3
  • 45
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 46
    • 0031922118 scopus 로고    scopus 로고
    • Sense and the single neuron: Probing the physiology of perception
    • Parker, A. J., & Newsome, W. T. (1998). Sense and the single neuron: Probing the physiology of perception. Annual Review of Neuroscience, 21, 227-277.
    • (1998) Annual Review of Neuroscience , vol.21 , pp. 227-277
    • Parker, A.J.1    Newsome, W.T.2
  • 47
    • 27944494461 scopus 로고    scopus 로고
    • The dynamics of perceptual learning: An incremental reweighting model
    • Petrov, A. A., Dosher, B. A., & Lu, Z.-L. (2005). The dynamics of perceptual learning: An incremental reweighting model. Psychological Review, 112, 715-743.
    • (2005) Psychological Review , vol.112 , pp. 715-743
    • Petrov, A.A.1    Dosher, B.A.2    Lu, Z.-L.3
  • 48
    • 0041355614 scopus 로고    scopus 로고
    • Inference and computation with population codes
    • Pouget, A., Dayan, P., & Zemel, R. S. (2003). Inference and computation with population codes. Annual Review Neuroscience, 26, 381-410.
    • (2003) Annual Review Neuroscience , vol.26 , pp. 381-410
    • Pouget, A.1    Dayan, P.2    Zemel, R.S.3
  • 49
    • 16644383303 scopus 로고    scopus 로고
    • Neural population code for fine perceptual decisions in area MT
    • Purushothaman, G., & Bradley, D. C. (2005). Neural population code for fine perceptual decisions in area MT. Nature Neuroscience, 8, 99-106.
    • (2005) Nature Neuroscience , vol.8 , pp. 99-106
    • Purushothaman, G.1    Bradley, D.C.2
  • 51
    • 0002109138 scopus 로고
    • A theory of Pavlovian conditioning: The effectiveness of reinforcement and non-reinforcement
    • A. H. Black & W. F. Prokasy Eds, New York: Appleton-Century-Crofts
    • Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: The effectiveness of reinforcement and non-reinforcement. In A. H. Black & W. F. Prokasy (Eds.), Classical conditioning II: Current research and theory (pp. 64-99). New York: Appleton-Century-Crofts.
    • (1972) Classical conditioning II: Current research and theory , pp. 64-99
    • Rescorla, R.A.1    Wagner, A.R.2
  • 52
    • 65449121374 scopus 로고    scopus 로고
    • The role of insight in perceptual learning: Evidence from illusory contour perception
    • M. Fahle & T. Poggio Eds, Cambridge, MA: MIT Press
    • Rubin, N., Nakayama, K., & Shapley, R. (2002). The role of insight in perceptual learning: Evidence from illusory contour perception. In M. Fahle & T. Poggio (Eds.), Perceptual learning (pp. 235-251). Cambridge, MA: MIT Press.
    • (2002) Perceptual learning , pp. 235-251
    • Rubin, N.1    Nakayama, K.2    Shapley, R.3
  • 53
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323, 533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 54
    • 0028831938 scopus 로고
    • Perceptual learning in vernier acuity: What is learned?
    • Saarinen, J., & Levi, D. M. (1995). Perceptual learning in vernier acuity: What is learned? Vision Research, 35, 519-527.
    • (1995) Vision Research , vol.35 , pp. 519-527
    • Saarinen, J.1    Levi, D.M.2
  • 55
    • 0035797397 scopus 로고    scopus 로고
    • Practicing orientation identification improves orientation coding in V1 neurons
    • Schoups, A., Vogels, R., Qian, N., & Orban, G. (2001). Practicing orientation identification improves orientation coding in V1 neurons. Nature, 412, 549-553.
    • (2001) Nature , vol.412 , pp. 549-553
    • Schoups, A.1    Vogels, R.2    Qian, N.3    Orban, G.4
  • 56
    • 0029928664 scopus 로고    scopus 로고
    • A computational analysis of the relationship between neuronal and behavioral responses to visual motion
    • Shadlen, M. N., Britten, K. H., Newsome, W. T., & Movshon, J. A. (1996). A computational analysis of the relationship between neuronal and behavioral responses to visual motion. Journal of Neuroscience, 16, 1486-1510.
    • (1996) Journal of Neuroscience , vol.16 , pp. 1486-1510
    • Shadlen, M.N.1    Britten, K.H.2    Newsome, W.T.3    Movshon, J.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.