The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Tracking multiple independent targets: Evidence for a parallel tracking mechanism*
Abstract
There is considerable evidence that visual attention is concentrated at a single locus in the visual field, and that this locus can be moved independent of eye movements. Two studies are reported which suggest that, while certain aspects of attention require that locations be scanned serially, at least one operation may be carried out in parallel across several independent loci in the visual field. That is the operation of indexing features and tracking their identity. The studies show that: (a) subjects are able to track a subset of up to 5 objects in a field of 10 identical randomly-moving objects in order to distinguish a change in a target from a change in a distractor; and (b) when the speed and distance parameters of the display are designed so that, on the basis of some very conservative assumptions about the speed of attention movement and encoding times, the predicted performance of a serial scanning and updating algorithm would not exceed about 40% accuracy, subjects still manage to do the task with 87% accuracy. These findings are discussed in relation to an earlier, and independently motivated model of feature-binding--called the FINST model--which posits a primitive identity maintenance mechanism that indexes and tracks a limited number of visual objects in parallel. These indexes are hypothesized to serve the function of binding visual features prior to subsequent pattern recognition.
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Citations
Cites
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Visual attention within and around the field of focal attention: A zoom lens model
Eriksen, C. W., & St. James, J. D. (1986) · Perception & Psychophysics · doi:10.3758/bf03211502 · Cited by 1,907
Spatial extent of attention to letters and words.
LaBerge, D. (1983) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.9.3.371 · Cited by 620
Cited by
The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
The reviewing of object files: Object-specific integration of information
Kahneman, D., Treisman, A., & Gibbs, B. J. (1992) · Cognitive Psychology · doi:10.1016/0010-0285(92)90007-o · Cited by 2,218
A taxonomy of external and internal attention.
Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100427 · Cited by 1,472
Capacity limits of information processing in the brain
Marois, R., & Ivanoff, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.04.010 · Cited by 928
Baumeister, R. F., Gailliot, M., DeWall, C. N., & Oaten, M. (2006) · Journal of Personality · doi:10.1111/j.1467-6494.2006.00428.x · Cited by 910
Rensink, R. A. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135125 · Cited by 850
Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.013 · Cited by 710
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Haidt, J., & Joseph, C. (2008) · The Innate Mind, Volume 3 · doi:10.1093/acprof:oso/9780195332834.003.0019 · Cited by 650
Enumeration versus multiple object tracking: the case of action video game players
Green, C. S., & Bavelier, D. (2006) · Cognition · doi:10.1016/j.cognition.2005.10.004 · Cited by 560
Consciousness cannot be separated from function
Cohen, M. A., & Dennett, D. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.06.008 · Cited by 542
Brain plasticity through the life span: Learning to learn and action video games
Bavelier, D., Green, C. S., Pouget, A., & Schrater, P. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152832 · Cited by 541
Peake, J. M., Kerr, G., & Sullivan, J. P. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00743 · Cited by 523
Situation awareness during driving: Explicit and implicit knowledge in dynamic spatial memory.
Gugerty, L. J. (1997) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.3.1.42 · Cited by 227
Quilty-Dunn, J., Porot, N., & Mandelbaum, E. (2023) · Behavioral and Brain Sciences · doi:10.1017/s0140525x22002849 · Cited by 205
Deep problems with neural network models of human vision
Bowers, J. S., Malhotra, G., Dujmović, M., Llera Montero, M., Tsvetkov, C., Biscione, V., Puebla, G., Adolfi, F., Hummel, J. E., Heaton, R. F., et al. (2023) · Behavioral and Brain Sciences · doi:10.1017/s0140525x22002813 · Cited by 204
(2010) · Cited by 186
Perceptual learning during action video game playing
Green, C. S., Li, R., & Bavelier, D. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01054.x · Cited by 182
Tomasi, D., Volkow, N. D., Wang, R., Telang, F., Wang, G.-J., Chang, L., Ernst, T., & Fowler, J. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006102 · Cited by 154
Tomasi, D., Volkow, N. D., Wang, G. J., Wang, R., Telang, F., Caparelli, E. C., Wong, C., Jayne, M., & Fowler, J. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.060 · Cited by 145
Split-brain: what we know now and why this is important for understanding consciousness
de Haan, E. H. F., Corballis, P. M., Hillyard, S. A., Marzi, C. A., Seth, A., Lamme, V. A. F., Volz, L., Fabri, M., Schechter, E., Bayne, T., et al. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09439-3 · Cited by 86
Elephants have a nose for quantity
Plotnik, J. M., Brubaker, D. L., Dale, R., Tiller, L. N., Mumby, H. S., & Clayton, N. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818284116 · Cited by 71
Resolving dual-task interference: an fMRI study
Jiang, Y. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.01.043 · Cited by 71
Multiple object tracking in autism spectrum disorders
Koldewyn, K., Weigelt, S., Kanwisher, N., & Jiang, Y. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1694-6 · Cited by 62
Wahn, B., Schmitz, L., Gerster, F. N., & Weiss, M. (2023) · PLOS ONE · doi:10.1371/journal.pone.0286102 · Cited by 49
“We addressed this question by conducting two behavioral experiments in which participants performed a multiple object tracking (MOT) task [15].”
MethodThe Impact of Action Video Game Training on Mathematical Abilities in Adults
Libertus, M. E., Liu, A., Pikul, O., Jacques, T., Cardoso-Leite, P., Halberda, J., & Bavelier, D. (2017) · AERA Open · doi:10.1177/2332858417740857 · Cited by 39
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
Riochet, R., Castro, M. Y., Bernard, M., Lerer, A., Fergus, R., Izard, V., & Dupoux, E. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3083839 · Cited by 19
Metadata
- Authors
- Pylyshyn, Z. W., & Storm, R. W.
- Venue
- Spatial Vision
- Publisher
- Walter de Gruyter GmbH
- Published
- 1988
- Volume
- 3
- Issue
- 3
- Pages
- 179-197
- ISSN
- 0169-1015 (ISSN-L)
- 1568-5683
- OpenAlex
- W2015634454
- Cited by
- 1,906
- References
- 3
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- closed
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