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An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLOS ONE 18, e0268577 (2023). journal.pone_.0268577.pdf (1.99 MB)
BrainBERT: Self-supervised representation learning for Intracranial Electrodes. International Conference on Learning Representations (2023). at <https://openreview.net/forum?id=xmcYx_reUn6> 985_brainbert_self_supervised_repr.pdf (9.71 MB)
Cross-task specificity and within-task invariance of cognitive control processes. Cell Reports 42, 111919 (2023). PIIS2211124722018174.pdf (3.97 MB)
Decoding of human identity by computer vision and neuronal vision. Scientific Reports 13, (2023). s41598-022-26946-w.pdf (1.88 MB)
Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds. Research (2023). doi:10.34133/research.0024 research.0024.pdf (4.05 MB)
Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds. Research 6, (2023). research.0024.pdf (5.19 MB)
Feature learning in deep classifiers through Intermediate Neural Collapse. (2023). Feature_Learning_memo.pdf (2.16 MB)
For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability. Analysis and Applications 21, 193 - 215 (2023).
Forward learning with top-down feedback: empirical and analytical characterization. arXiv (2023). at <https://arxiv.org/abs/2302.05440>
Norm-Based Generalization Bounds for Compositionally Sparse Neural Networks. (2023). Norm-based bounds for convnets.pdf (1.2 MB)
SGD and Weight Decay Provably Induce a Low-Rank Bias in Deep Neural Networks. (2023). Low-rank bias.pdf (2.38 MB)
Sparse distributed memory is a continual learner. International Conference on Learning Representations (2023). at <https://openreview.net/forum?id=JknGeelZJpHP> 6086_sparse_distributed_memory_is_a.pdf (13.3 MB)
Animal-to-Animal Variability in Partial Hippocampal Remapping in Repeated Environments. The Journal of Neuroscience 42, 5268 - 5280 (2022). 5268.full_.pdf (2.97 MB)
An approximate representation of objects underlies physical reasoning. psyArXiv (2022). at <https://psyarxiv.com/vebu5/>
Brain-like functional specialization emerges spontaneously in deep neural networks. Science Advances 8, (2022).
A computational probe into the behavioral and neural markers of atypical facial emotion processing in autism. The Journal of Neuroscience JN-RM-2229-21 (2022). doi:10.1523/JNEUROSCI.2229-21.2022
Deep neural network models of sound localization reveal how perception is adapted to real-world environments. Nature Human Behavior 6, 111–133 (2022). s41562-021-01244-z.pdf (7.22 MB)
Do computational models of vision need shape-based representations? Evidence from an individual with intriguing visual perceptions. Cognitive Neuropsychology 1 - 3 (2022). doi:10.1080/02643294.2022.2041588
Early concepts of intimacy: Young humans use saliva sharing to infer close relationships. Science 375, 311 - 315 (2022).
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. arXiv (2022). doi:10.48550/arXiv.2201.03965 On_the_Efficacy_of_Co-Attention_Transformer_Layers.pdf (35.54 MB)
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. Proceedings of the 39th International Conference on Machine Learning, PMLR 162, 4937-4955 (2022). dellaferrera22a.pdf (909.91 KB)
Eszopiclone and Zolpidem Produce Opposite Effects on Hippocampal Ripple DensityDataSheet1.docx. Frontiers in Pharmacology 12, (2022).
Face neurons encode nonsemantic features. Proceedings of the National Academy of Sciences 119, (2022).
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks. International Conference on Learning Representations (ICLR) (2022). at <https://openreview.net/forum?id=yeP_zx9vqNm>
Harmonicity aids hearing in noise. Attention, Perception, & Psychophysics (2022). doi:10.3758/s13414-021-02376-0