Modelling fast forms of visual neural plasticity using a modified second-order motion energy model-Reference-Cited by-同舟云学术

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Modelling fast forms of visual neural plasticity using a modified second-order motion energy model

Published:2014-07-31 Issue:3 Volume:37 Page:493-504
ISSN:0929-5313
Container-title:Journal of Computational Neuroscience
language:en
Short-container-title:J Comput Neurosci

Author:

Pavan Andrea,Contillo Adriano,Mather George

Publisher

Springer Science and Business Media LLC

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems

Link

http://link.springer.com/content/pdf/10.1007/s10827-014-0520-x.pdf

Reference56 articles.

1. Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A, 2, 284–299.

2. Amit, D. J. (1989). Modeling brain function. New York: Cambridge University Press.

3. Arnold, D. H., & Clifford, C. W. (2002). Determinants of asynchronous processing in vision. Proceedings of the Royal Society of London, B269, 579–583.

4. Bergen, J. R., & Wilson, H. R. (1985). Prediction of flicker sensitivities from temporal three pulse data. Vision Research, 25, 577–582.

5. Boudreau, C. E., & Ferster, D. (2005). Short-term depression in thalamocortical synapses of cat primary visual cortex. Journal of Neuroscience, 25, 7179–7190.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short- and long-term forms of neural adaptation: An ERP investigation of dynamic motion aftereffects;Cortex;2020-04

2. A Practical SSVEP-Based Algorithm for Perceptual Dominance Estimation in Binocular Rivalry;IEEE Transactions on Cognitive and Developmental Systems;2018-06

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