Pouya Bashivan

2016-2020 Brain and Cognitive Sciences Massachusetts Institute of Technology, Cambridge, MA, United States 
 2020- Physiology McGill University, Montreal, QC, Canada 
Visual systems
"Pouya Bashivan"
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Gavin M. Bidelman grad student 2012-2016 University of Memphis
James J. DiCarlo post-doc 2016-2020


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Amirozhan Dehghani research scientist 2020- McGill
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Yang H, Zhang J, Jin Z, et al. (2023) Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory. Brain Structure & Function
Ratan Murty NA, Bashivan P, Abate A, et al. (2021) Computational models of category-selective brain regions enable high-throughput tests of selectivity. Nature Communications. 12: 5540
Bidelman GM, Brown JA, Bashivan P. (2020) Auditory cortex supports verbal working memory capacity. Neuroreport
Bashivan P, Kar K, DiCarlo JJ. (2019) Neural population control via deep image synthesis. Science (New York, N.Y.). 364
Rajalingham R, Issa EB, Bashivan P, et al. (2018) Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Bashivan P, Bidelman GM, Yeasin M. (2014) Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. The European Journal of Neuroscience. 40: 3774-84
Bashivan P, Yeasin M, Bidelman GM. (2014) Modulation of brain connectivity by memory load in a working memory network Ieee Ssci 2014 - 2014 Ieee Symposium Series On Computational Intelligence - Ccmb 2014: 2014 Ieee Symposium On Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings. 127-133
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