Predicting the temporal-dynamic trajectories of cortical neuronal responses in non-human primates based on deep spiking neural network
Author:
Funder
The Major Key Project of the Peng Cheng Laboratory
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-09989-1.pdf
Reference31 articles.
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3. Cadieu CF, Hong H, Yamins DL, Pinto N, Ardila D, Solomon EA, Majaj NJ, DiCarlo JJ (2014) Deep neural networks rival the representation of primate IT cortex for core visual object recognition. PLoS Comput Biol 10(12):e1003963. https://doi.org/10.1371/journal.pcbi.1003963
4. Carandini M, Demb JB, Mante V, Tolhurst DJ, Dan Y, Olshausen BA, Gallant JL, Rust NC (2005) Do we know what the early visual system does? J Neurosci 25(46):10577–10597
5. Chang L, Egger B, Vetter T, Tsao DY (2021) Explaining face representation in the primate brain using different computational models. Current Biology 31(13):2785–2795. https://doi.org/10.1016/j.cub.2021.04.014
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