Please also see my Google Scholar and Semantic Scholar profiles for a list of all publications.

2021

Schrimpf, Martin; Blank, Idan A; Tuckute, Greta; Kauf, Carina; Hosseini, Eghbal A; Kanwisher, Nancy G; Tenenbaum, Joshua B; Fedorenko, Evelina

The neural architecture of language: Integrative modeling converges on predictive processing Journal Article

In: Proceedings of the National Academy of Sciences (PNAS), 2021.

Abstract | Links | BibTeX

Kar, Kohitij; Schrimpf, Martin; Schmidt, Kailyn; DiCarlo, James J

Chemogenetic suppression of macaque V4 neurons produces retinotopically specific deficits in downstream IT neural activity patterns and core object recognition behavior Inproceedings

In: Journal of Vision, pp. 2489, The Association for Research in Vision and Ophthalmology, 2021, ISSN: 1534-7362.

Links | BibTeX

Marques, Tiago; Schrimpf, Martin; DiCarlo, James J

Multi-scale hierarchical neural network models that bridge from single neurons in the primate primary visual cortex to object recognition behavior Technical Report

2021.

Abstract | Links | BibTeX

Gan, Chuang; Schwartz, Jeremy; Alter, Seth; Schrimpf, Martin; Traer, James; Freitas, Julian De; Kubilius, Jonas; Bhandwaldar, Abhishek; Haber, Nick; Sano, Megumi; Kim, Kuno; Wang, Elias; Mrowca, Damian; Lingelbach, Michael; Curtis, Aidan; Feigelis, Kevin; Bear, Daniel M; Gutfreund, Dan; Cox, David; DiCarlo, James J; McDermott, Josh; Tenenbaum, Joshua B; Yamins, Daniel L K

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Inproceedings

In: Neural Information Processing Systems (NeurIPS; oral), 2021.

Abstract | Links | BibTeX

Zhuang, Chengxu; Yan, Siming; Nayebi, Aran; Schrimpf, Martin; Frank, Michael C; DiCarlo, James J; Yamins, Daniel L K

Unsupervised Neural Network Models of the Ventral Visual Stream Journal Article

In: Proceedings of the National Academy of Sciences (PNAS), 2021.

Abstract | Links | BibTeX

2020

Dapello, Joel; Marques, Tiago; Schrimpf, Martin; Geiger, Franziska; Cox, David D; DiCarlo, James J

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations Inproceedings

In: Neural Information Processing Systems (NeurIPS; spotlight), 2020.

Abstract | Links | BibTeX

Geiger, Franziska; Schrimpf, Martin; Marques, Tiago; Dicarlo, James J

Wiring Up Vision : Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream Technical Report

2020.

Abstract | Links | BibTeX

Schrimpf, Martin; Kubilius, Jonas; Lee, Michael J; Murty, N. Apurva Ratan; Ajemian, Robert; DiCarlo, James J.

Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence Journal Article

In: Neuron, 2020, ISSN: 0896-6273.

Abstract | Links | BibTeX

2019

Kubilius*, Jonas; Schrimpf*, Martin; Kar, Kohitij; Rajalingham, Rishi; Hong, Ha; Majaj, Najib J.; Issa, Elias B.; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Nayebi, Aran; Bear, Daniel; Yamins, Daniel L. K.; DiCarlo, James J.

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs Inproceedings

In: Neural Information Processing Systems (NeurIPS; oral), 2019.

Abstract | BibTeX

Jozwik, Kamila Maria; Schrimpf, Martin; Kanwisher, Nancy; DiCarlo, James J.

To find better neural network models of human vision, find better neural network models of primate vision Technical Report

2019.

Abstract | Links | BibTeX

Schrimpf*, Martin; Kubilius*, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Ziemba, Corey; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; J., DiCarlo James

Using Brain-Score to Evaluate and Build Neural Networks for Brain-Like Object Recognition Inproceedings

In: Computational and Systems Neuroscience (Cosyne), 2019.

BibTeX

2018

Bashivan, Pouya; Schrimpf, Martin; Ajemian, Robert; Rish, Irina; Riemer, Matthew; Yuhai, Tu

Continual Learning with Self-Organizing Maps Inproceedings

In: Neural Information Processing Systems (NeurIPS) Continual Learning Workshop, 2018.

BibTeX

Schrimpf, Martin; Kubilius, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; Dicarlo, James J

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? Technical Report

2018.

Abstract | Links | BibTeX

Kubilius, Jonas; Schrimpf, Martin; Nayebi, Aran; Bear, Daniel; Yamins, Daniel L K; Dicarlo, James J

CORnet: Modeling the Neural Mechanisms of Core Object Recognition Technical Report

2018.

Abstract | Links | BibTeX

Tang, Hanlin; Schrimpf, Martin; Lotter, William; Moerman, Charlotte; Paredes, Ana; Caro, Josue Ortega; Hardesty, Walter; Cox, David; Kreiman, Gabriel

Recurrent computations for visual pattern completion Journal Article

In: Proceedings of the National Academy of Sciences, 115 (35), 2018, ISSN: 0027-8424.

Abstract | Links | BibTeX

Schrimpf*, Martin; Kubilius*, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; J., James J. DiCarlo James

Brain-Score: Which Artificial Neural Network Best Emulates the Brain’s Neural Network? Inproceedings

In: Cognitive Computational Neuroscience (CCN), 2018.

BibTeX

Arend, Luke; Han, Yena; Schrimpf, Martin; Bashivan, Pouya; Kar, Kohitij; Poggio, Tomaso; DiCarlo, James J; Boix, Xavier

Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results Technical Report

2018.

BibTeX

2017

Schrimpf*, Martin; Merity*, Stephen; Bradbury, James; Socher, Richard

A Flexible Approach to Automated RNN Architecture Generation Inproceedings

In: International Conference on Learning Representations (ICLR) Workshop Track, 2017.

Abstract | Links | BibTeX

Schrimpf, Martin

Brain-inspired Recurrent Neural Algorithms for Advanced Object Recognition Masters Thesis

Technical University Munich, LMU Munich, University of Augsburg, Universitätsstraße 6a, 86135 Augsburg, 2017.

Abstract | Links | BibTeX

Cheney*, Nicholas; Schrimpf*, Martin; Kreiman, Gabriel

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations Technical Report

2017.

Abstract | Links | BibTeX

2016

Schrimpf, Martin

Should I use Tensorflow Technical Manual

University of Augsburg 2016, (Seminar Paper).

Abstract | Links | BibTeX

2014

Schrimpf, Martin

Scalable Database Concurrency Control using Transactional Memory Technical Report

Technical University Munich Bachelor Thesis, 2014.

Abstract | Links | BibTeX