17 results on '"Joel Zylberberg"'
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2. What's the Opposite of a Face? Finding Shared Decodable Concepts and their Negations in the Brain.
3. Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks.
4. Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models.
5. Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer.
6. Different Spectral Representations in Optimized Artificial Neural Networks and Brains.
7. Improved object recognition using neural networks trained to mimic the brain's statistical properties.
8. A self-organizing short-term dynamical memory network.
9. Training neural networks to have brain-like representations improves object recognition performance.
10. Using deep learning to reveal the neural code for images in primary visual cortex.
11. Robust information propagation through noisy neural circuits.
12. A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data.
13. The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes.
14. Sparse Coding Models Can Exhibit Decreasing Sparseness while Learning Sparse Codes for Natural Images.
15. A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields.
16. Triplet correlations among similarly tuned cells impact population coding.
17. How Should Prey Animals Respond to Uncertain Threats?
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