How to cite mgl

Please use our Zenodo based DOI for citing use of mgl in manuscripts:

DOI

The Zenodo site has a tool for how to format for different journals, but here is an example:

g, JL, Merriam, EP, Schluppeck, D, & Larsson, J (2018) MGL: Visual psychophysics stimuli and experimental design package (Version 2.0) Zenodo http://doi.org/10.5281/zenodo.1299497

Publications that cite mgl in methods

Below is a list of publications that have cited the use of mgl in Methods (or sometimes in Supplementary Materials). As we did not use the Zenodo DOI until recently this was the best way of citing mgl previously. This list was last updated in August, 2020. Please contact us if you have an update to this publication list.

Abrahamyan, A., Silva, L., Dakin, S., Carandini, M., Gardner, J. (2016). Adaptable history biases in human perceptual decisions. Proceedings of the National Academy of Sciences 113(25), E3548 57. https://dx.doi.org/10.1073/pnas.1518786113

Abrams, J., Barbot, A., Carrasco, M. (2010). Voluntary attention increases perceived spatial frequency. Attention, perception & psychophysics 72(6), 1510-21. https://dx.doi.org/10.3758/app.72.6.1510

Allred, S., Radonjić, A., Gilchrist, A., Brainard, D. (2012). Lightness perception in high dynamic range images: local and remote luminance effects. Journal of vision 12(2), 7 7. https://dx.doi.org/10.1167/12.2.7

Barbot, A., Landy, M., Carrasco, M. (2012). Differential effects of exogenous and endogenous attention on second-order texture contrast sensitivity Journal of vision

Barbot, A., Landy, M., Carrasco, M. (2011). Exogenous attention enhances 2nd-order contrast sensitivity. Vision research 51(9), 1086-98. https://dx.doi.org/10.1016/j.visres.2011.02.022

Becker, M., Miller, J., Liu, T. (2012). A severe capacity limit in the consolidation of orientation information into visual short-term memory Attention, Perception, & Psychophysics 75(3), 415-425. https://dx.doi.org/10.3758/s13414-012-0410-0

Beckett, A., Peirce, J., Sanchez-Panchuelo, R., Francis, S., Schluppeck, D. (2012). Contribution of large scale biases in decoding of direction-of-motion from high-resolution fMRI data in human early visual cortex NeuroImage 63(3), 1623-1632. https://dx.doi.org/10.1016/j.neuroimage.2012.07.066

Benson, N., Butt, O., Datta, R., Radoeva, P., Brainard, D., Aguirre, G. (2012). The retinotopic organization of striate cortex is well predicted by surface topology. Current biology : CB 22(21), 2081-5. https://dx.doi.org/10.1016/j.cub.2012.09.014

Birman, D., Gardner, J. (2019). A flexible readout mechanism of human sensory representations. Nature communications 10(1), 3500. https://dx.doi.org/10.1038/s41467-019-11448-7

Birman, D., Gardner, J. (2018). A quantitative framework for motion visibility in human cortex. Journal of neurophysiology 120(4), 1824 1839. https://dx.doi.org/10.1152/jn.00433.2018

Cafaro, J., Zylberberg, J., Field, G. (2020). Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells. The Journal of neuroscience : the official journal of the Society for Neuroscience 40(30), 5807-5819. https://dx.doi.org/10.1523/jneurosci.0564-20.2020

Choe, K., Blake, R., Lee, S. (2014). Dissociation between Neural Signatures of Stimulus and Choice in Population Activity of Human V1 during Perceptual Decision-Making The Journal of neuroscience : the official journal of the Society for Neuroscience 34(7), 2725 2743. https://dx.doi.org/10.1523/jneurosci.1606-13.2014

Choe, K., Blake, R., Lee, S. (2016). Pupil size dynamics during fixation impact the accuracy and precision of video-based gaze estimation Vision Research 118(), 48-59. https://dx.doi.org/10.1016/j.visres.2014.12.018

Datta, R., Aguirre, G., Hu, S., Detre, J., Cucchiara, B. (2013). Interictal cortical hyperresponsiveness in migraine is directly related to the presence of aura. Cephalalgia : an international journal of headache 33(6), 365-74. https://dx.doi.org/10.1177/0333102412474503

Dobs, K., Schultz, J., Bülthoff, I., Gardner, J. (2018). Task-dependent enhancement of facial expression and identity representations in human cortex. NeuroImage 172(), 689 702. https://dx.doi.org/10.1016/j.neuroimage.2018.02.013

Dugué, L., Xue, A., Carrasco, M. (2017). Distinct perceptual rhythms for feature and conjunction searches. Journal of vision 17(3), 22. https://dx.doi.org/10.1167/17.3.22

Dugué, L., Merriam, E., Heeger, D., Carrasco, M. (2017). Specific Visual Subregions of TPJ Mediate Reorienting of Spatial Attention Cerebral Cortex 28(7), 2375-2390. https://dx.doi.org/10.1093/cercor/bhx140

Fang, M., Ravizza, S., Liu, T. (2019). Attention induces surround suppression in visual working memory. Psychonomic bulletin & review 26(6), 1925-1932. https://dx.doi.org/10.3758/s13423-019-01624-7

Fang, M., Becker, M., Liu, T. (2019). Attention to colors induces surround suppression at category boundaries Scientific Reports 9(1), 1443. https://dx.doi.org/10.1038/s41598-018-37610-7

Fang, M., Liu, T. (2019). The profile of attentional modulation to visual features. Journal of vision 19(13), 13. https://dx.doi.org/10.1167/19.13.13

Freeman, J., Ziemba, C., Heeger, D., Simoncelli, E., Movshon, J. (2013). A functional and perceptual signature of the second visual area in primates. Nature Neuroscience 16(7), 974 981. https://dx.doi.org/10.1038/nn.3402

Freeman, J., Heeger, D., Merriam, E. (2013). Coarse-Scale Biases for Spirals and Orientation in Human Visual Cortex The Journal of neuroscience : the official journal of the Society for Neuroscience 33(50), 19695 19703. https://dx.doi.org/10.1523/jneurosci.0889-13.2013

Freeman, J., Donner, T., Heeger, D. (2011). Inter-area correlations in the ventral visual pathway reflect feature integration Journal of vision 11(4), 15 15.

Freeman, J., Brouwer, G., Heeger, D., Merriam, E. (2011). Orientation decoding depends on maps, not columns. Journal of Neuroscience 31(13), 4792 4804. https://dx.doi.org/10.1523/jneurosci.5160-10.2011

Gardner, J., Merriam, E., Movshon, J., Heeger, D. (2008). Maps of visual space in human occipital cortex are retinotopic, not spatiotopic. The Journal of neuroscience : the official journal of the Society for Neuroscience 28(15), 3988 3999. https://dx.doi.org/10.1523/jneurosci.5476-07.2008

Gong, M., Liu, T. (2018). Reward differentially interacts with physical salience in feature-based attention Journal of Vision 18(11), 12. https://dx.doi.org/10.1167/18.11.12

Hammett, S., Smith, A., Wall, M., Larsson, J. (2013). Implicit representations of luminance and the temporal structure of moving stimuli in multiple regions of human visual cortex revealed by multivariate pattern classification analysis Journal of Neurophysiology 110(3), 688-699. https://dx.doi.org/10.1152/jn.00359.2012

Hara, Y., Pestilli, F., Gardner, J. (2014). Differing effects of attention in single-units and populations are well predicted by heterogeneous tuning and the normalization model of attention. Frontiers in computational neuroscience 8(), 12. https://dx.doi.org/10.3389/fncom.2014.00012

Hara, Y., Gardner, J. (2014). Encoding of graded changes in spatial specificity of prior cues in human visual cortex Journal of Neurophysiology 112(11), 2834-2849. https://dx.doi.org/10.1152/jn.00729.2013

Herrmann, K., Heeger, D., Carrasco, M. (2012). Feature-based attention enhances performance by increasing response gain. Vision research 74(), 10 20. https://dx.doi.org/10.1016/j.visres.2012.04.016

Hou, Y., Liu, T. (2012). Neural correlates of object-based attentional selection in human cortex. Neuropsychologia 50(12), 2916-25. https://dx.doi.org/10.1016/j.neuropsychologia.2012.08.022

Ikkai, A., Dandekar, S., Curtis, C. (2016). Lateralization in Alpha-Band Oscillations Predicts the Locus and Spatial Distribution of Attention. PloS one 11(5), e0154796. https://dx.doi.org/10.1371/journal.pone.0154796

Ikkai, A., Jerde, T., Curtis, C. (2011). Perception and action selection dissociate human ventral and dorsal cortex. Journal of cognitive neuroscience 23(6), 1494 1506. https://dx.doi.org/10.1162/jocn.2010.21499

Jerde, T., Merriam, E., Riggall, A., Hedges, J., Curtis, C. (2012). Prioritized Maps of Space in Human Frontoparietal Cortex The Journal of neuroscience : the official journal of the Society for Neuroscience 32(48), 17382 17390. https://dx.doi.org/10.1523/jneurosci.3810-12.2012

Jigo, M., Carrasco, M. (2018). Attention alters spatial resolution by modulating second-order processing Journal of Vision 18(7), 2. https://dx.doi.org/10.1167/18.7.2

Jigo, M., Carrasco, M. (2020). Differential impact of exogenous and endogenous attention on the contrast sensitivity function across eccentricity. Journal of vision 20(6), 11. https://dx.doi.org/10.1167/jov.20.6.11

Jigo, M., Gong, M., Liu, T. (2018). Neural Determinants of Task Performance during Feature-Based Attention in Human Cortex eneuro 5(1), ENEURO.0375-17.2018. https://dx.doi.org/10.1523/eneuro.0375-17.2018

Jogan, M., Stocker, A. (2014). A new two-alternative forced choice method for the unbiased characterization of perceptual bias and discriminability. Journal of vision 14(3)https://dx.doi.org/10.1167/14.3.20

Jogan, M., Stocker, A. (2015). Signal Integration in Human Visual Speed Perception. Journal of Neuroscience 35(25), 9381 9390. https://dx.doi.org/10.1523/jneurosci.4801-14.2015

Klyszejko, Z., Rahmati, M., Curtis, C. (2014). Attentional priority determines working memory precision. Vision research 105(), 70-6. https://dx.doi.org/10.1016/j.visres.2014.09.002

Laquitaine, S., Gardner, J. (2018). A Switching Observer for Human Perceptual Estimation. Neuron 97(2), 462 474.e6. https://dx.doi.org/10.1016/j.neuron.2017.12.011

Lee, T., Brainard, D. (2014). The effect of photometric and geometric context on photometric and geometric lightness effects. Journal of vision 14(1)https://dx.doi.org/10.1167/14.1.24

Liu, T., Hou, Y. (2013). A hierarchy of attentional priority signals in human frontoparietal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 33(42), 16606 16616. https://dx.doi.org/10.1523/jneurosci.1780-13.2013

Liu, T., Mance, I. (2011). Constant spread of feature-based attention across the visual field Vision Research 51(1), 26-33. https://dx.doi.org/10.1016/j.visres.2010.09.023

Liu, T., Hospadaruk, L., Zhu, D., Gardner, J. (2011). Feature-specific attentional priority signals in human cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 31(12), 4484 4495. https://dx.doi.org/10.1523/jneurosci.5745-10.2011

Liu, T., Hou, Y. (2011). Global feature-based attention to orientation Journal of vision 11(10), 8 8.

Liu, T., Cable, D., Gardner, J. (2017). Inverted encoding models of human population response conflate noise and neural tuning width. The Journal of Neuroscience 38(2), 398-408. https://dx.doi.org/10.1523/jneurosci.2453-17.2017

Liu, T., Jigo, M. (2017). Limits in feature-based attention to multiple colors Attention, Perception, & Psychophysics 79(8), 2327-2337. https://dx.doi.org/10.3758/s13414-017-1390-x

Liu, T., Pleskac, T. (2011). Neural correlates of evidence accumulation in a perceptual decision task Journal of neurophysiology 106(5), 2383 2398.

Liu, T. (2016). Neural representation of object-specific attentional priority. NeuroImage 129(), 15-24. https://dx.doi.org/10.1016/j.neuroimage.2016.01.034

Luu, L., Stocker, A. (2018). Post-decision biases reveal a self-consistency principle in perceptual inference eLife 7(), e33334. https://dx.doi.org/10.7554/elife.33334

Main, K., Pestilli, F., Mezer, A., Yeatman, J., Martin, R., Phipps, S., Wandell, B. (2014). Speed discrimination predicts word but not pseudo-word reading rate in adults and children. Brain and language 138(), 27-37. https://dx.doi.org/10.1016/j.bandl.2014.09.003

Mance, I., Becker, M., Liu, T. (2012). Parallel consolidation of simple features into visual short-term memory. Journal of experimental psychology Human perception and performance 38(2), 429 438.

McGuire, J., Nassar, M., Gold, J., Kable, J. (2014). Functionally dissociable influences on learning rate in a dynamic environment. Neuron 84(4), 870-81. https://dx.doi.org/10.1016/j.neuron.2014.10.013

McMahon, D., Leopold, D. (2012). Stimulus Timing-Dependent Plasticity in High-Level Vision Current biology : CB 22(4), 332 337.

Merriam, E., Gardner, J., Movshon, J., Heeger, D. (2013). Modulation of visual responses by gaze direction in human visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 33(24), 9879 9889. https://dx.doi.org/10.1523/jneurosci.0500-12.2013

Miller, J., Becker, M., Liu, T. (2014). The bandwidth of consolidation into visual short-term memory depends on the visual feature Visual Cognition 22(7), 920-947. https://dx.doi.org/10.1080/13506285.2014.936923

Montagna, B., Pestilli, F., Carrasco, M. (2009). Attention trades off spatial acuity Vision Research 49(7), 735-745. https://dx.doi.org/10.1016/j.visres.2009.02.001

Montaser-Kouhsari, L., Carrasco, M. (2009). Perceptual asymmetries are preserved in short-term memory tasks. Attention, perception & psychophysics 71(8), 1782-92. https://dx.doi.org/10.3758/app.71.8.1782

Nassar, M., Bruckner, R., Gold, J., Li, S., Heekeren, H., Eppinger, B. (2016). Age differences in learning emerge from an insufficient representation of uncertainty in older adults. Nature communications 7(1), 11609. https://dx.doi.org/10.1038/ncomms11609

Olkkonen, M., Brainard, D.Joint effects of illumination geometry and object shape in the perception of surface reflectance i-Perception 2(9), 1014 1034.

Olkkonen, M., Saarela, T., Allred, S. (2016). Perception-memory interactions reveal a computational strategy for perceptual constancy Journal of Vision 16(3), 38. https://dx.doi.org/10.1167/16.3.38

Olkkonen, M., Allred, S. (2014). Short-term memory affects color perception in context. PloS one 9(1), e86488. https://dx.doi.org/10.1371/journal.pone.0086488

Olkkonen, M., McCarthy, P., Allred, S. (2014). The central tendency bias in color perception: effects of internal and external noise. Journal of vision 14(11), 5-5. https://dx.doi.org/10.1167/14.11.5

Park, S., Cha, K., Lee, S. (2013). Coaxial anisotropy of cortical point spread in human visual areas. The Journal of neuroscience : the official journal of the Society for Neuroscience 33(3), 1143 56a. https://dx.doi.org/10.1523/jneurosci.2404-12.2013

Pestilli, F., Carrasco, M., Heeger, D., Gardner, J. (2011). Attentional enhancement via selection and pooling of early sensory responses in human visual cortex. Neuron 72(5), 832 846. https://dx.doi.org/10.1016/j.neuron.2011.09.025

Radonjic, A., Cottaris, N., Brainard, D. (2015). Color constancy in a naturalistic, goal-directed task. Journal of vision 15(13), 3. https://dx.doi.org/10.1167/15.13.3

Radonjic, A., Pearce, B., Aston, S., Krieger, A., Dubin, H., Cottaris, N., Brainard, D., Hurlbert, A. (2016). Illumination discrimination in real and simulated scenes. Journal of vision 16(11), 2. https://dx.doi.org/10.1167/16.11.2

Radonjic, A., Ding, X., Krieger, A., Aston, S., Hurlbert, A., Brainard, D. (2018). Illumination discrimination in the absence of a fixed surface-reflectance layout. Journal of vision 18(5), 11. https://dx.doi.org/10.1167/18.5.11

Radonjić, A., Cottaris, N., Brainard, D. (2015). Color constancy supports cross-illumination color selection. Journal of vision 15(6), 13. https://dx.doi.org/10.1167/15.6.13

Radonjić, A., Cottaris, N., Brainard, D. (2018). Quantifying how humans trade off color and material in object identification Electronic Imaging 2018(14), 1-6. https://dx.doi.org/10.2352/issn.2470-1173.2018.14.hvei-516

Radonjić, A., Allred, S., Gilchrist, A., Brainard, D. (2011). The Dynamic Range of Human Lightness Perception Current biology : CB 21(22), 1931 1936.

Radonjić, A., Brainard, D. (2016). The nature of instructional effects in color constancy. Journal of experimental psychology. Human perception and performance 42(6), 847-65. https://dx.doi.org/10.1037/xhp0000184

Radonjić, A., Cottaris, N., Brainard, D. (2019). The relative contribution of color and material in object selection PLOS Computational Biology 15(4), e1006950. https://dx.doi.org/10.1371/journal.pcbi.1006950

Rhoades, C., Shah, N., Manookin, M., Brackbill, N., Kling, A., Goetz, G., Sher, A., Litke, A., Chichilnisky, E. (2019). Unusual Physiological Properties of Smooth Monostratified Ganglion Cell Types in Primate Retina. Neuron 103(4), 658-672.e6. https://dx.doi.org/10.1016/j.neuron.2019.05.036

Riesen, G., Norcia, A., Gardner, J. (2019). Humans Perceive Binocular Rivalry and Fusion in a Tristable Dynamic State. The Journal of Neuroscience 39(43), 8527-8537. https://dx.doi.org/10.1523/jneurosci.0713-19.2019

Roberts, M., Cymerman, R., Smith, R., Kiorpes, L., Carrasco, M. (2016). Covert spatial attention is functionally intact in amblyopic human adults. Journal of vision 16(15), 30. https://dx.doi.org/10.1167/16.15.30

Roberts, M., Ashinoff, B., Castellanos, F., Carrasco, M. (2017). When attention is intact in adults with ADHD Psychonomic Bulletin & Review 25(4), 1423-1434. https://dx.doi.org/10.3758/s13423-017-1407-4

Roth, Z., Heeger, D., Merriam, E. (2018). Stimulus vignetting and orientation selectivity in human visual cortex eLife 7(), e37241. https://dx.doi.org/10.7554/elife.37241

Ruff, D., Brainard, D., Cohen, M. (2018). Neuronal population mechanisms of lightness perception. Journal of neurophysiology 120(5), 2296-2310. https://dx.doi.org/10.1152/jn.00906.2017

Ryu, J., Lee, S. (2018). Stimulus-Tuned Structure of Correlated fMRI Activity in Human Visual Cortex. Cerebral cortex (New York, N.Y. : 1991) 28(2), 693-712. https://dx.doi.org/10.1093/cercor/bhw411

Samaha, J., Switzky, M., Postle, B. (2019). Confidence boosts serial dependence in orientation estimation. Journal of vision 19(4), 25. https://dx.doi.org/10.1167/19.4.25

Samaha, J., Barrett, J., Sheldon, A., LaRocque, J., Postle, B. (2016). Dissociating Perceptual Confidence from Discrimination Accuracy Reveals No Influence of Metacognitive Awareness on Working Memory. Frontiers in psychology 7(), 851. https://dx.doi.org/10.3389/fpsyg.2016.00851

Samaha, J., Iemi, L., Postle, B. (2017). Prestimulus alpha-band power biases visual discrimination confidence, but not accuracy. Consciousness and cognition 54(), 47-55. https://dx.doi.org/10.1016/j.concog.2017.02.005

Senoussi, M., Moreland, J., Busch, N., Dugué, L. (2019). Attention explores space periodically at the theta frequency Journal of Vision 19(5), 22. https://dx.doi.org/10.1167/19.5.22

Shah, N., Brackbill, N., Rhoades, C., Kling, A., Goetz, G., Litke, A., Sher, A., Simoncelli, E., Chichilnisky, E. (2020). Inference of nonlinear receptive field subunits with spike-triggered clustering eLife 9(), e45743. https://dx.doi.org/10.7554/elife.45743

Shai, A., Anastassiou, C., Larkum, M., Koch, C. (2015). Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting. PLoS computational biology 11(3), e1004090. https://dx.doi.org/10.1371/journal.pcbi.1004090

Şentürk, G., Greenberg, A., Liu, T. (2016). Saccade latency indexes exogenous and endogenous object-based attention. Attention, perception & psychophysics 78(7), 1998-2013. https://dx.doi.org/10.3758/s13414-016-1136-1

Tark, K., Curtis, C. (2013). Deciding where to look based on visual, auditory, and semantic information. Brain research 1525(), 26-38. https://dx.doi.org/10.1016/j.brainres.2013.06.002

Vintch, B., Gardner, J. (2014). Cortical correlates of human motion perception biases. Journal of Neuroscience 34(7), 2592 2604. https://dx.doi.org/10.1523/jneurosci.2809-13.2014

Wang, H., Merriam, E., Freeman, J., Heeger, D. (2014). Motion Direction Biases and Decoding in Human Visual Cortex The Journal of neuroscience : the official journal of the Society for Neuroscience 34(37), 12601 12615. https://dx.doi.org/10.1523/jneurosci.1034-14.2014

Wang, Y., Miller, J., Liu, T. (2015). Suppression effects in feature-based attention. Journal of vision 15(5), 15. https://dx.doi.org/10.1167/15.5.15

Wardle, S., Ritchie, J., Seymour, K., Carlson, T. (2016). Edge-related activity is not necessary to explain orientation decoding in human visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 37(5), 1187-1196. https://dx.doi.org/10.1523/jneurosci.2690-16.2016

White, A., Carrasco, M. (2011). Feature-based attention involuntarily and simultaneously improves visual performance across locations Journal of vision 11(6), 15 15.

White, A., Lunau, R., Carrasco, M. (2014). The attentional effects of single cues and color singletons on visual sensitivity. Journal of experimental psychology Human perception and performance 40(2), 639 652. https://dx.doi.org/10.1037/a0033775

Xing, Y., Ledgeway, T., McGraw, P., Schluppeck, D. (2013). Decoding working memory of stimulus contrast in early visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 33(25), 10301 10311. https://dx.doi.org/10.1523/jneurosci.3754-12.2013

Yashar, A., White, A., Fang, W., Carrasco, M. (2017). Feature singletons attract spatial attention independently of feature priming. Journal of vision 17(9), 7. https://dx.doi.org/10.1167/17.9.7

Yashar, A., Chen, J., Carrasco, M. (2015). Rapid and long-lasting reduction of crowding through training. Journal of vision 15(10), 15. https://dx.doi.org/10.1167/15.10.15

Ye, C., Hu, Z., Li, H., Ristaniemi, T., Liu, Q., Liu, T. (2017). A two-phase model of resource allocation in visual working memory. Journal of experimental psychology. Learning, memory, and cognition 43(10), 1557 1566. https://dx.doi.org/10.1037/xlm0000376

Yuval-Greenberg, S., Heeger, D. (2013). Continuous flash suppression modulates cortical activity in early visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 33(23), 9635 9643. https://dx.doi.org/10.1523/jneurosci.4612-12.2013

Yuval-Greenberg, S., Merriam, E., Heeger, D. (2014). Spontaneous microsaccades reflect shifts in covert attention. The Journal of neuroscience : the official journal of the Society for Neuroscience 34(41), 13693-700. https://dx.doi.org/10.1523/jneurosci.0582-14.2014

Zamboni, E., Ledgeway, T., McGraw, P., Schluppeck, D. (2016). Do perceptual biases emerge early or late in visual processing? Decision-biases in motion perception. Proceedings. Biological sciences / The Royal Society 283(1833), 20160263. https://dx.doi.org/10.1098/rspb.2016.0263

Zeigenfuse, M., Pleskac, T., Liu, T. (2014). Rapid decisions from experience. Cognition 131(2), 181-94. https://dx.doi.org/10.1016/j.cognition.2013.12.012

Zhang, Y., Ye, C., Roberson, D., Zhao, G., Xue, C., Liu, Q. (2018). The bilateral field advantage effect in memory precision. Quarterly journal of experimental psychology (2006) 71(3), 749-758. https://dx.doi.org/10.1080/17470218.2016.1276943

Xing, Y., Ledgeway, T., McGraw, P., Schluppeck, D. (2014). The influence of spatial pattern on visual short-term memory for contrast. Attention, perception & psychophysics 76(7), 1925-32. https://dx.doi.org/10.3758/s13414-014-0671-x