The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Magnocellular Projections as the Trigger of Top-Down Facilitation in Recognition
Open accessAbstract
Object recognition is traditionally viewed as a hierarchical, bottom-up neural process. This view has been challenged recently by theoretical models and by findings indicating that top-down processes are involved in facilitating recognition. However, how such high-level information can be activated quickly enough to facilitate the bottom-up processing is yet unknown. We propose that such top-down facilitation is triggered by magnocellular information projected early and rapidly to the orbitofrontal cortex. Using human neuroimaging, we show that stimuli designed to bias processing toward the magnocellular pathway differentially activated the orbitofrontal cortex compared with parvocellular-biased stimuli. Although the magnocellular stimuli had a lower contrast than the parvocellular stimuli, they were recognized faster and just as accurately. Moreover, orbitofrontal activity predicted the performance advantage for the magnocellular, but not for the parvocellular-biased, stimuli, whereas the opposite was true in the fusiform gyrus. Last, analyses of effective connectivity using dynamic causal modeling showed that magnocellular-biased stimuli significantly activated pathways from occipital visual cortex to orbitofrontal cortex and from orbitofrontal cortex to fusiform gyrus. Conversely, parvocellular-biased stimuli significantly activated a pathway from the occipital visual cortex to fusiform gyrus. Our findings support the proposal that fast magnocellular projections linking early visual and inferotemporal object recognition regions with the orbitofrontal cortex facilitate object recognition by enabling the generation of early predictions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 2×
“…top-down information is important in facilitating object recognition (Grossberg, 1980; Kosslyn, 1994; Ullman, 1995), and others have noted that the efficiency of visual recognition cannot be fully explained by bottom-up processes alone (Mumford, 1994; Lamme and Roelfsema, 2000; Bullier, 2001).”
BackgroundKRINGELBACH, M. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.03.006 · Cited by 1,977
Image And Brain: The Resolution of the Imagery Debate
Kosslyn, S. M. (1994) · doi:10.7551/mitpress/3653.001.0001 · Cited by 1,977
Effects of Attention and Emotion on Face Processing in the Human Brain
Vuilleumier, P., Armony, J. L., Driver, J., & Dolan, R. J. (2001) · Neuron · doi:10.1016/s0896-6273(01)00328-2 · Cited by 1,664
A subcortical pathway to the right amygdala mediating “unseen” fear
Morris, J. S., Öhman, A., & Dolan, R. J. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1680 · Cited by 1,349
Automatic and intentional brain responses during evaluation of trustworthiness of faces
Winston, J. S., Strange, B. A., O'Doherty, J., & Dolan, R. J. (2002) · Nature Neuroscience · doi:10.1038/nn816 · Cited by 993
Architectonic subdivision of the human orbital and medial prefrontal cortex
Öngür, D., Ferry, A. T., & Price, J. L. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10609 · Cited by 944
A cortical mechanism for triggering top-down facilitation in visual object recognition
Bar, M. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321662976 · Cited by 900
Self-citationComparing dynamic causal models.
Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848
Cited by
Pessoa, L., & Adolphs, R. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2920 · Cited by 1,794
Cognition does not affect perception: Evaluating the evidence for “top-down” effects
Firestone, C., & Scholl, B. J. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000965 · Cited by 1,200
Expectation (and attention) in visual cognition
Summerfield, C., & Egner, T. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.003 · Cited by 950
The role of the parahippocampal cortex in cognition
Aminoff, E. M., Kveraga, K., & Bar, M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.009 · Cited by 855
Self-citationSee it with feeling: affective predictions during object perception
Barrett, L. F., & Bar, M. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0312 · Cited by 632
Self-citation
Metadata
- Authors
- Kveraga, K., Boshyan, J., & Bar, M.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-11-28
- Volume
- 27
- Issue
- 48
- Pages
- 13232-13240
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2051674195
- Cited by
- 399
- References
- 15
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnocellular Projections as the Trigger of Top-Down Facilitation in Recognition. https://app.cochat.ai/papers/10.1523/jneurosci.3481-07.2007
- The paper
- Kveraga, K., Boshyan, J., & Bar, M. (2007). Magnocellular Projections as the Trigger of Top-Down Facilitation in Recognition. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.3481-07.2007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.