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CBMM, NSF STC » About » People » Pouya Bashivan

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Pouya Bashivan

Pouya
Bashivan
Postdoc
  • Massachusetts Institute of Technology (MIT)
Lab Affiliation(s):  DiCarlo

Associated Research Module: 

  • Module 1: Visual Stream
  • Module 1 Co-PI(s)

Associated Research Thrust: 

  • Exploring Future Directions
  • Co-Investigators
Advisor/s: 
James DiCarlo

CBMM Publications

P. Bashivan, Kar, K., and DiCarlo, J. J., “Neural Population Control via Deep Image Synthesis”, Science, vol. 364, no. 6439, 2019.
J. Kubilius, Schrimpf, M., Kar, K., Rajalingham, R., Hong, H., Majaj, N. J., Issa, E. B., Bashivan, P., Prescott-Roy, J., Schmidt, K., Nayebi, A., Bear, D., Yamins, D. L. K., and DiCarlo, J. J., “Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs”, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.
M. Schrimpf and Kubilius, J., “Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?”, bioRxiv preprint, 2018.
L. Arend, Han, Y., Schrimpf, M., Bashivan, P., Kar, K., Poggio, T., DiCarlo, J. J., and Boix, X., “Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results”. 2018.
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News & Videos:

May 2, 2019
A computer model of vision created by MIT neuroscientists designed these images that can stimulate very high activity in individual neurons.  Image: Pouya Bashivan
Putting vision models to the test [MIT News]
May 2, 2019
James DiCarlo, Pouya Bashivan, Kohitij Kar
Embedded thumbnail for Neural Population Control via Deep Image Synthesis
Neural Population Control via Deep Image Synthesis
August 12, 2018
Pouya Bashivan
Embedded thumbnail for Tutorial: Computational Models of Human Vision - Part 1 (27:06)
Tutorial: Computational Models of Human Vision - Part 1 (27:06)
June 5, 2018
Pouya Bashivan
Embedded thumbnail for Selective Neural Manipulation in Area V4
Selective Neural Manipulation in Area V4
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