The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates.
Abstract
When remembering a real-world scene, people encode both detailed information about specific objects and higher order information like the overall gist of the scene. However, formal models of change detection, like those used to estimate visual working memory capacity, assume observers encode only a simple memory representation that includes no higher order structure and treats items independently from one another. We present a probabilistic model of change detection that attempts to bridge this gap by formalizing the role of perceptual organization and allowing for richer, more structured memory representations. Using either standard visual working memory displays or displays in which the items are purposefully arranged in patterns, we find that models that take into account perceptual grouping between items and the encoding of higher order summary information are necessary to account for human change detection performance. Considering the higher order structure of items in visual working memory will be critical for models to make useful predictions about observers' memory capacity and change detection abilities in simple displays as well as in more natural scenes.
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Citations
Cites
The episodic buffer: a new component of working memory?
Baddeley, A. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01538-2 · Cited by 7,359 · cited 2×
“Working memory capacity constrains cognitive abilities in a wide variety of domains (Baddeley, 2000), and individual differences in this capacity predict differences in fluid intelligence, reading comprehension, and academic achievement (Alloway & Alloway, 2010; Daneman & Carpenter, 1980; Fukuda, Vogel, Mayr, & Awh, 2…”
BackgroundInfluentialThe 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
Chase, W. G., & Simon, H. A. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90004-2 · Cited by 4,479
Chunking mechanisms in human learning
GOBET, F., LANE, P., CROKER, S., CHENG, P., JONES, G., OLIVER, I., & PINE, J. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01662-4 · Cited by 1,157
Theory-based Bayesian models of inductive learning and reasoning
Tenenbaum, J. B., Griffiths, T. L., & Kemp, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.009 · Cited by 880 · cited 2×
“Furthermore, by using probabilistic models, we obtain the ability to use more complex and structured knowledge in our memory encoding model, rather than treating each item as an independent unit (e.g., Kemp & Tenenbaum, 2008; Tenenbaum et al., 2006).”
MethodSelf-citationVision as Bayesian inference: analysis by synthesis?
Yuille, A., & Kersten, D. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.002 · Cited by 849
Acquisition of a memory skill.
Ericsson, K. A., Chase, W. G., & Faloon, S. (1980) · Science · doi:10.1126/science.7375930 · Cited by 579 · cited 1×
“Ericsson, Chase, and Faloon (1980) famously reported a similar case where a particular observer was able to increase his digit span from seven to 79 digits by recoding information about the digits into running times from various races he was familiar with, effectively converting the 79 digits into…”
BackgroundA review of visual memory capacity: Beyond individual items and toward structured representations
Brady, T. F., Konkle, T., & Alvarez, G. A. (2011) · Journal of Vision · doi:10.1167/11.5.4 · Cited by 556
Self-citationConstant Capacity in an Immediate Serial-Recall Task: A Logical Sequel to Miller (1956)
Cowan, N., Chen, Z., & Rouder, J. N. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.00732.x · Cited by 129
Visual Salience Affects Performance in a Working Memory Task
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Cited by
A review of visual memory capacity: Beyond individual items and toward structured representations
Brady, T. F., Konkle, T., & Alvarez, G. A. (2011) · Journal of Vision · doi:10.1167/11.5.4 · Cited by 556
Self-citationWhat is the Bandwidth of Perceptual Experience?
Cohen, M. A., Dennett, D. C., & Kanwisher, N. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.006 · Cited by 419
An interference model of visual working memory.
Oberauer, K., & Lin, H.-Y. (2017) · Psychological Review · doi:10.1037/rev0000044 · Cited by 344
Factorial comparison of working memory models.
van den Berg, R., Awh, E., & Ma, W. J. (2014) · Psychological Review · doi:10.1037/a0035234 · Cited by 311
Working Memory Maturation: Can We Get at the Essence of Cognitive Growth?
Cowan, N. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691615621279 · Cited by 225
“Numerous adult studies have shown that there is some memory for the configuration or structure across items, in addition to memory of individual items (e.g., Brady & Tenenbaum, 2013; Jiang, Olson, & Chun, 2000; Woodman, Vecera, & Luck, 2003; Xu & Chun, 2007).”
Background
Metadata
- Authors
- Brady, T. F., & Tenenbaum, J. B.
- Venue
- Psychological Review
- Published
- 2013
- Volume
- 120
- Issue
- 1
- Pages
- 85-109
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2127868335
- Cited by
- 215
- References
- 10
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- closed
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