Export 848 results:
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)
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)
Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381, (2023).
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>
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 neural architecture of theory-based reinforcement learning. Neuron 111, 1331 - 1344.e8 (2023).
Neural coding: Stimulating cortex to alter visual perception. Current Biology 33, R117 - R118 (2023).
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. arXiv (2023). at <https://arxiv.org/abs/2301.05223>
Norm-Based Generalization Bounds for Compositionally Sparse Neural Networks. (2023). Norm-based bounds for convnets.pdf (1.2 MB)
Out of sight, out of mind: Responses in primate ventral visual cortex track individual fixations during natural vision. bioRxiv (2023). doi:10.1101/2023.02.08.527666
Physics informed machine learning for wind speed prediction. Energy 268, 126628 (2023).
Preliminary evidence for selective cortical responses to music in one‐month‐old infants. Developmental Science (2023). doi:10.1111/desc.13387 Developmental Science - 2023 - Kosakowski - Preliminary evidence for selective cortical responses to music in one‐month‐old.pdf (2.6 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)
Using artificial neural networks to ask ‘why’ questions of minds and brains. Trends in Neurosciences 46, 240 - 254 (2023).