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Export 860 results:
Compositional Sparsity of Learnable Functions. (2024).
CBMM-Memo-145.pdf (1.25 MB)
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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)
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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)
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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)
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Decoding of human identity by computer vision and neuronal vision. Scientific Reports 13, (2023).
s41598-022-26946-w.pdf (1.88 MB)
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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)
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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)
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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)
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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)
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Implicit regularization with strongly convex bias: Stability and acceleration. Analysis and Applications 21, 165 - 191 (2023).
Infants and toddlers leverage their understanding of action goals to evaluate agents who help others. Child Development (2023). doi:10.1111/cdev.13895
The Janus effects of SGD vs GD: high noise and low rank. (2023).
The_Janus_effects_of_SGD_vs_GD__high_noise_and_low_rank-4.pdf (2.83 MB)
Updated with appendix showing empirically that the main results extend to deep nonlinear networks (2.95 MB)
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Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions. PLOS Biology 21, e3002366 (2023).
Minute-scale periodicity of neuronal firing in the human entorhinal cortex. Cell Reports 42, 113271 (2023).
1-s2.0-S2211124723012834-main.pdf (5.33 MB)
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Model metamers reveal divergent invariances between biological and artificial neural networks. Nature Neuroscience (2023). doi:10.1038/s41593-023-01442-0
Neural coding: Stimulating cortex to alter visual perception. Current Biology 33, R117 - R118 (2023).