dogear

enter for all results · esc to close

Individual differences among deep neural network models

kriegeskortelab.zuckermaninstitute.columbia.edusite

Nature Communications, 2020. [All Versions].

from
AGI & CoCoSci
added
2026-10-10
likes
0

similar

  1. Shared computational principles for language processing in humans and deep language models nature.com

    Nature Neuroscience, 2022. [All Versions].

  2. Understanding the role of Individual Units in a Deep Neural Network pnas.org

    Proceedings of the National Academy of Sciences, 2020. [All Versions]. David Bau's review on network dissection for discriminative and generative models.

  3. The successor representation in human reinforcement learning gershmanlab.com

    Nature Human Behavior, 2017. [All Versions].

  4. On the information bottleneck theory of deep learning artemyk.github.io

    Journal of Statistical Mechanics: Theory and Experiment, 2019. [All Versions].

  5. Unsupervised learning by competing hidden units pnas.org

    Proceedings of the National Academy of Sciences, 2019. [All Versions].

  6. Using human brain activity to guide machine learning nature.com

    Scientific Report, 2018. [All Versions].

AGI & CoCoSci › Papers > Explainability > Explainable Deep Learning: “Nature Communications, 2020. [All Versions].”