Crossref journal-article
Society for Neuroscience
The Journal of Neuroscience (393)
Abstract

The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes that fMRI responses are proportional to local average neural activity averaged over a period of time. This work reports results from three empirical tests that support this hypothesis. First, fMRI responses in human primary visual cortex (V1) depend separably on stimulus timing and stimulus contrast. Second, responses to long-duration stimuli can be predicted from responses to shorter duration stimuli. Third, the noise in the fMRI data is independent of stimulus contrast and temporal period. Although these tests can not prove the correctness of the linear transform model, they might have been used to reject the model. Because the linear transform model is consistent with our data, we proceeded to estimate the temporal fMRI impulse–response function and the underlying (presumably neural) contrast–response function of human V1.

Bibliography

Boynton, G. M., Engel, S. A., Glover, G. H., & Heeger, D. J. (1996). Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1. The Journal of Neuroscience, 16(13), 4207–4221.

Authors 4
  1. Geoffrey M. Boynton (first)
  2. Stephen A. Engel (additional)
  3. Gary H. Glover (additional)
  4. David J. Heeger (additional)
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Dates
Type When
Created 7 years, 4 months ago (April 2, 2018, 2:35 p.m.)
Deposited 2 years, 4 months ago (April 13, 2023, 6:47 a.m.)
Indexed 1 week, 4 days ago (Aug. 20, 2025, 9:19 a.m.)
Issued 29 years, 1 month ago (July 1, 1996)
Published 29 years, 1 month ago (July 1, 1996)
Published Online 29 years, 1 month ago (July 1, 1996)
Published Print 29 years, 1 month ago (July 1, 1996)
Funders 0

None

@article{Boynton_1996, title={Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1}, volume={16}, ISSN={1529-2401}, url={http://dx.doi.org/10.1523/jneurosci.16-13-04207.1996}, DOI={10.1523/jneurosci.16-13-04207.1996}, number={13}, journal={The Journal of Neuroscience}, publisher={Society for Neuroscience}, author={Boynton, Geoffrey M. and Engel, Stephen A. and Glover, Gary H. and Heeger, David J.}, year={1996}, month=jul, pages={4207–4221} }