M
Masoud Ghodrati
Researcher at Monash University, Clayton campus
Publications - 21
Citations - 1456
Masoud Ghodrati is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Cognitive neuroscience of visual object recognition & 3D single-object recognition. The author has an hindex of 11, co-authored 21 publications receiving 978 citations. Previous affiliations of Masoud Ghodrati include Monash University & Discovery Institute.
Papers
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Journal ArticleDOI
Deep learning in spiking neural networks
Amirhossein Tavanaei,Masoud Ghodrati,Saeed Reza Kheradpisheh,Timothée Masquelier,Anthony S. Maida +4 more
TL;DR: The emerging picture is that SNNs still lag behind ANNs in terms of accuracy, but the gap is decreasing, and can even vanish on some tasks, while SNN's typically require many fewer operations and are the better candidates to process spatio-temporal data.
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Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh,Saeed Reza Kheradpisheh,Masoud Ghodrati,Masoud Ghodrati,Mohammad Ganjtabesh,Timothée Masquelier +5 more
TL;DR: This work benchmarked eight state-of-the-art DCNNs, the HMAX model, and a baseline shallow model and compared their results to those of humans with backward masking to demonstrate that shallow nets can outperform deep nets and humans when variations are weak.
Journal ArticleDOI
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh,Saeed Reza Kheradpisheh,Masoud Ghodrati,Masoud Ghodrati,Mohammad Ganjtabesh,Timothée Masquelier +5 more
TL;DR: In this paper, the authors compared eight state-of-the-art CNNs, the HMAX model, and a baseline shallow model and compared their results to those of humans with backward masking.
Journal ArticleDOI
Towards building a more complex view of the lateral geniculate nucleus: recent advances in understanding its role
TL;DR: Detailed anatomical, neurophysiological, brain imaging, and modeling studies that have in recent years built up a much more complex view of the lateral geniculate nucleus are reviewed, suggesting that the role of LGN deserves more careful consideration in developing models of high‐level visual processing.
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The (un)suitability of modern liquid crystal displays (LCDs) for vision research
TL;DR: Of the consumer-grade and gaming displays tested, and if problems with spatial uniformity are taken into account, the Eizo FG2421 is the most suitable alternative to CRTs, although both are good replacements for a CRT, provided their spatial imperfections are considered.