Visual temporal attention from perception to computation

RN Denison - Nature Reviews Psychology, 2024 - nature.com
Visual attention unfolds across space and time to prioritize a subset of incoming visual
information. Distinct in key ways from spatial attention, temporal attention is a growing …

“Reliable organisms from unreliable components” revisited: the linear drift, linear infinitesimal variance model of decision making

PL Smith - Psychonomic Bulletin & Review, 2023 - Springer
Diffusion models of decision making, in which successive samples of noisy evidence are
accumulated to decision criteria, provide a theoretical solution to von Neumann's problem of …

A dynamic normalization model of temporal attention

RN Denison, M Carrasco, DJ Heeger - Nature Human Behaviour, 2021 - nature.com
Vision is dynamic, handling a continuously changing stream of input, yet most models of
visual attention are static. Here, we develop a dynamic normalization model of visual …

Neural pathways and computations that achieve stable contrast processing tuned to natural scenes

B Gür, L Ramirez, J Cornean, F Thurn… - Nature …, 2024 - nature.com
Natural scenes are highly dynamic, challenging the reliability of visual processing. Yet,
humans and many animals perform accurate visual behaviors, whereas computer vision …

A revised diffusion model for conflict tasks

PS Lee, DK Sewell - Psychonomic Bulletin & Review, 2024 - Springer
The recently developed diffusion model for conflict tasks (DMC) Ulrich et al.(Cognitive
Psychology, 78, 148–174,) provides a good account of data from all standard conflict tasks …

[HTML][HTML] The attention-weighted sample-size model of visual short-term memory: Attention capture predicts resource allocation and memory load

PL Smith, SD Lilburn, EA Corbett, DK Sewell… - Cognitive …, 2016 - Elsevier
We investigated the capacity of visual short-term memory (VSTM) in a phase discrimination
task that required judgments about the configural relations between pairs of black and white …

Predicting neuronal dynamics with a delayed gain control model

J Zhou, NC Benson, K Kay… - PLoS computational …, 2019 - journals.plos.org
Visual neurons respond to static images with specific dynamics: neuronal responses sum
sub-additively over time, reduce in amplitude with repeated or sustained stimuli (neuronal …

Object selection costs in visual working memory: A diffusion model analysis of the focus of attention.

DK Sewell, SD Lilburn, PL Smith - Journal of experimental …, 2016 - psycnet.apa.org
A central question in working memory research concerns the degree to which information in
working memory is accessible to other cognitive processes (eg, decision-making). Theories …

The power law of visual working memory characterizes attention engagement.

PL Smith, EA Corbett, SD Lilburn… - Psychological …, 2018 - psycnet.apa.org
The quality or precision of stimulus representations in visual working memory can be
characterized by a power law, which states that precision decreases as a power of the …

[HTML][HTML] The separable effects of feature precision and item load in visual short-term memory

SD Lilburn, PL Smith, DK Sewell - Journal of vision, 2019 - iovs.arvojournals.org
Visual short-term memory (VSTM) has been described as being limited by the number of
discrete visual objects, the aggregate quantity of information across multiple visual objects …