The DOI matches its Crossref record; 67 of the 68 references it cites were found in a registry or an index.
Modeling the Temporal Dynamics of IT Neurons in Visual Search: A Mechanism for Top-Down Selective Attention
Abstract
We propose a neural model for object-oriented attention in which various visual stimuli (shapes, colors, letters, etc.) are represented by competing, mutually inhibitory, cell assemblies. The model's response to a sequence of cue and target stimuli mimics the neural responses in infero temporal (IT) visual cortex of monkeys performing a visual search task: enhanced response during the display of the stimulus, which decays but remains above a spontaneous rate after the cue disappears. When, subsequently, a display consisting of the target and several distractors is presented, the activity of all stimulus-driven cells is initially enhanced. After a short period of time, however, the activity of the cell assembly representing the cue stimulus is enhanced while the activity of the distractors decays because of mutual competition and a small top-down “expectational” input. The model fits the measured delayed activity in IT-cortex, recently reported by Chelazzi, Miller, Duncan, and Desimone (1993a), and we suggest that such a process, which is largely independent of the number of distractors, may be used by the visual system for selecting an expected target (appearing at an uncertain location) among distractors.
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“In that proposal, certain bottom-up pathways carried error signals indicating when there was a mismatch between data and their reconstruction or prediction with contextual priors and that when there was no error, the lower area would be relatively inactive.”
From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [7]
In the citing paper
“These experiments support our earlier proposal 1 and related ideas 7,16,74 that top-down generative signals could explain away the earlier evidence based on efficient coding consideration.”
From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [7]
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Metadata
- Authors
- Usher, M., & Niebur, E.
- Affiliations
- Carnegie Mellon University (US)
- California Institute of Technology (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 1996
- Volume
- 8
- Issue
- 4
- Pages
- 311-327
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2099555952
- Cited by
- 147
- References
- 68
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 1 · 2014: 3 · 2013: 4 · 2012: 2
- FWCI
- 2.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- visual search, inferotemporal cortex, cell assemblies, reciprocal inhibition, distractor suppression, temporal dynamics of neural responses
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