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SPACE AND ATTENTION IN PARIETAL CORTEX
Abstract
▪ Abstract The space around us is represented not once but many times in parietal cortex. These multiple representations encode locations and objects of interest in several egocentric reference frames. Stimulus representations are transformed from the coordinates of receptor surfaces, such as the retina or the cochlea, into the coordinates of effectors, such as the eye, head, or hand. The transformation is accomplished by dynamic updating of spatial representations in conjunction with voluntary movements. This direct sensory-to-motor coordinate transformation obviates the need for a single representation of space in environmental coordinates. In addition to representing object locations in motoric coordinates, parietal neurons exhibit strong modulation by attention. Both top-down and bottom-up mechanisms of attention contribute to the enhancement of visual responses. The saliance of a stimulus is the primary factor in determining the neural response to it. Although parietal neurons represent objects in motor coordinates, visual responses are independent of the intention to perform specific motor acts.
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“These neurons exhibited spatially selective persistent activity that predicted whether an eye movement was planned into the response field (RF) of the neuron on a memory guided saccade task(29–31).”
From Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex (2009) · cites this paper as [29]
In the citing paper
“LIP plays a multitude of cognitive and sensory-motor roles that could, in principle, change during training and account for the changes in LIP responses during motion viewing 20–22.”
From Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area (2008) · cites this paper as [20]
In the citing paper
“In addition, previous studies have shown that LIP responses are modulated by many factors, such as attention, expectation, time, motor intention, experienced value, reward, and the prior probability of making an eye movement12,13,39–42.”
From Microstimulation of macaque area LIP affects decision-making in a motion discrimination task (2006) · cites this paper as [12]
In the citing paper
“Although we refer to the core regions of these systems as if they were homogeneous elements (e.g., IPS or FEF), each contains multiple functional subcomponents (5-7, 18, 19).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [19]
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Metadata
- Authors
- Colby, C. L., & Goldberg, M. E.
- Affiliations
- University of Pittsburgh (US)
- Georgetown University (US)
- ORCID
- Goldberg, Michael E.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 1999-03
- Volume
- 22
- Issue
- 1
- Pages
- 319-349
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2144200546
- Cited by
- 1,710
- References
- 103
- Citations by year
- 2026: 16 · 2025: 33 · 2024: 44 · 2023: 40 · 2022: 24 · 2021: 38 · 2020: 42 · 2019: 53 · 2018: 48 · 2017: 40 · 2016: 46 · 2015: 68 · 2014: 65 · 2013: 77 · 2012: 75
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Spatial Neglect and Hemispheric Dysfunction
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- parietal cortex, spatial representation, attention, egocentric reference frame, top-down attention, bottom-up attention, salience, visual attention, object location, voluntary movement
- MeSH terms
- Animals, Attention, Brain Mapping, Eye Movements, Mouth, Parietal Lobe, Space Perception, Hand Strength
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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