Pouya Bashivan - Concepedia

Author

Pouya Bashivan

McGovern Institute for Brain Research ORCID

Also Known As

Bashivan, Pouya, Pouya Bashivan

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

McGovern Institute for Brain Research University of Memphis Massachusetts Institute of Technology McGill University

About

Pouya Bashivan is an author at McGovern Institute for Brain Research specializing in cognitive science, social sciences, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Social Sciences	9	9	958
2	Cognitive Science	9	9	958
3	Engineering	7	7	909
4	Medicine	3	3	70
5	Business	1	1	21

Pouya Bashivan

Publications

2.1K

Citations

H-Index

Page 1

	Year	Citations
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? Martin Schrimpf, Jonas Kubilius, Ha Hong, Convolutional Neural NetworkEngineeringObject CategorizationNeural Networks (Machine Learning)Brain Mapping	2018	493
Neural population control via deep image synthesis Pouya Bashivan, Kohitij Kar, James J. DiCarlo Science	2019	441
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Journal of Neuroscience	2018	364
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks Pouya Bashivan, Irina Rish, Mohammed Yeasin, arXiv (Cornell University) EngineeringMachine LearningRecurrent Neural NetworkSocial SciencesEeg Analysis Techniques	2015	161
Computational models of category-selective brain regions enable high-throughput tests of selectivity N. Apurva Ratan Murty, Pouya Bashivan, Alex Abate, Nature Communications	2021	116
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs Jonas Kubilius, Martin Schrimpf, Pouya Bashivan, Lirias (KU Leuven) Geometric LearningConvolutional Neural NetworkEngineeringObject CategorizationRecurrent Connectivity	2019	108
Spectrotemporal dynamics of the <scp>EEG</scp> during working memory encoding and maintenance predicts individual behavioral capacity Pouya Bashivan, Gavin M. Bidelman, Mohammed Yeasin European Journal of Neuroscience	2014	94
Mental State Recognition via Wearable EEG Pouya Bashivan, Irina Rish, Steve Heisig arXiv (Cornell University) Mental State RecognitionEngineeringMachine LearningEeg HeadsetsAffective Neuroscience	2016	47
Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Convolutional Neural NetworkEngineeringObject CategorizationAbstract Primates—includingVisual Cognitive Neuroscience	2018	46
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms M. Gheiratmand, Irina Rish, Guillermo Cecchi, Schizophrenia	2017	45

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