The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Modulation of Neuronal Activity in Superior Colliculus by Changes in Target Probability
Open accessAbstract
Complex visual scenes require that a target for an impending saccadic eye movement be selected from a larger number of possible targets. We investigated whether changing the probability that a visual stimulus would be selected as the target for a saccade altered activity of monkey superior colliculus (SC) neurons in two experiments. First, we changed the number of possible targets on each trial. Second, we kept the visual display constant and presented a single saccade target repeatedly so that target probability was established over time. Buildup neurons in the SC, those with delay period activity, showed a consistent reduction in activity as the probability of the saccade decreased, independent of the visual stimulus configuration. Other SC neurons, fixation and burst, were largely unaffected by the changes in saccade target probability. Because we had monkeys making saccades to many locations within the visual field, we could examine activity associated with saccades outside of the movement field of neurons. We found the activity of buildup neurons to be similar across the SC, before the target was identified, and reduced when the number of possible targets increased. The results of our experiments are consistent with a role for this activity in establishing a motor set. We found, consistent with this interpretation, that the activity of these neurons was predictive of the latency of a saccadic eye movement and not other saccade parameters such as end point or peak velocity.
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“A major difference between 2- and 4-choice responses was the firing rate at the beginning of the decision process (Fig. 3), consistent with the inverse relationship between the number of possible eye movement directions and firing rates in the superior colliculus preceding a saccade instruction 30.”
From Decision-making with multiple alternatives (2008) · cites this paper as [30]
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“A major difference between 2- and 4-choice responses was the firing rate at the beginning of the decision process (Fig. 3), consistent with the inverse relationship between the number of possible eye movement directions and firing rates in the superior colliculus preceding a saccade instruction 30.”
From Decision-making with multiple alternatives (2008) · cites this paper as [30]
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Metadata
- Authors
- Basso, M. A., & Wurtz, R. H.
- Affiliations
- National Eye Institute (US)
- ORCID
- Basso, Michele A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1998-09-15
- Volume
- 18
- Issue
- 18
- Pages
- 7519-7534
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6793246
- OpenAlex
- W2151783777
- Cited by
- 474
- References
- 38
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 7 · 2023: 20 · 2022: 6 · 2021: 14 · 2020: 7 · 2019: 10 · 2018: 13 · 2017: 20 · 2016: 11 · 2015: 21 · 2014: 14 · 2013: 17 · 2012: 17
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- superior colliculus, saccades, target probability, delay-period activity, burst neurons, target selection, neuronal activity modulation
- MeSH terms
- Animals, Haplorhini, Electrophysiology, Fixation, Ocular, Functional Laterality, Motor Neurons, Periodicity, Photic Stimulation, Reaction Time, Saccades, Superior Colliculi
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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