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Compositional Sparsity of Learnable Functions. (2024). CBMM-Memo-145.pdf (1.25 MB)
Dissociable neuronal substrates of visual feature attention and working memory. Neuron 112, 850 - 863.e6 (2024).
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image and Vision Computing 142, 104894 (2024).
A ubiquitous spectrolaminar motif of local field potential power across the primate cortexAbstract. Nature Neuroscience 27, 547 - 560 (2024).
What have we learned about artificial intelligence from studying the brain?. Biological Cybernetics 118, 1 - 5 (2024).
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)
Cervelli menti algoritmi. 272 (Sperling & Kupfer, 2023). at <https://www.sperling.it/libri/cervelli-menti-algoritmi-marco-magrini>
CNNs reveal the computational implausibility of the expertise hypothesis. iScience 26, 105976 (2023).
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)
Decoding of human identity by computer vision and neuronal visionAbstract. Scientific Reports 13, (2023).
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)
EEG Entropy in REM Sleep as a Physiologic Biomarker in Early Clinical Stages of Alzheimer’s Disease. Journal of Alzheimer's Disease 91, 1557 - 1572 (2023).
Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381, (2023). houlihan2023computedappraisals.pdf (2.37 MB)
An empirical assay of view-invariant object learning in humans and comparison with baseline image-computable models. bioRxiv (2023). at <https://www.biorxiv.org/content/10.1101/2022.12.31.522402v1>
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>
A Homogeneous Transformer Architecture. (2023). CBMM-Memo-143.pdf (1.07 MB)
Implicit regularization with strongly convex bias: Stability and acceleration. Analysis and Applications 21, 165 - 191 (2023).