Publication
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Assumption violations in causal discovery and the robustness of score matching. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (2024). at <https://proceedings.neurips.cc/paper_files/paper/2023/file/93ed74938a54a73b5e4c52bbaf42ca8e-Paper-Conference.pdf>
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 (2024).
Compositional sparsity of learnable functions. Bulletin of the American Mathematical Society 61, 438-456 (2024).
Compositional Sparsity of Learnable Functions. (2024).
CBMM-Memo-145.pdf (1.25 MB)
CBMM-Memo-145.pdf (1.25 MB) Dissociable neuronal substrates of visual feature attention and working memory. Neuron 112, 850 - 863.e6 (2024).
Dissociating language and thought in large language models. Trends in Cognitive Sciences 28, 517 - 540 (2024).
For HyperBFs AGOP is a greedy approximation to gradient descent. (2024). CBMM-Memo-148.pdf (1.06 MB)
CBMM-Memo-148.pdf (1.06 MB) Formation of Representations in Neural Networks. (2024). CBMM-Memo-150.pdf (4.03 MB)
CBMM-Memo-150.pdf (4.03 MB) On Generalization Bounds for Neural Networks with Low Rank Layers. (2024). CBMM-Memo-151.pdf (697.31 KB)
CBMM-Memo-151.pdf (697.31 KB) How does the primate brain combine generative and discriminative computations in vision?. arXiv (2024). at <https://arxiv.org/abs/2401.06005>
NeuroDecodeR: a package for neural decoding in RData_Sheet_1.docx. Frontiers in Neuroinformatics 17, (2024).
On the Power of Decision Trees in Auto-Regressive Language Modeling. (2024). CBMM-Memo-149.pdf (2.11 MB)
CBMM-Memo-149.pdf (2.11 MB) RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement LearningRESPRECT: Speeding-Up Multi-Fingered Grasping With Residual Reinforcement Learning_supp1-3363532.mp4. IEEE Robotics and Automation Letters 9, 3045 - 3052 (2024).
Self-Assembly of a Biologically Plausible Learning Circuit. (2024). CBMM-Memo-152.pdf (1.84 MB)
CBMM-Memo-152.pdf (1.84 MB) 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).
Actual and counterfactual effort contribute to responsibility attributions in collaborative tasks. Cognition 241, 105609 (2023).
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)
journal.pone_.0268577.pdf (1.99 MB) An adversarial collaboration to critically evaluate theories of consciousness. bioRxiv (2023). doi:https://doi.org/10.1101/2023.06.23.546249
Approaching human 3D shape perception with neurally mappable models. arXiv (2023). at <https://arxiv.org/abs/2308.11300>
Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition. Proceedings of the National Academy of Sciences 120, (2023).
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)
985_brainbert_self_supervised_repr.pdf (9.71 MB) Catalyzing next-generation Artificial Intelligence through NeuroAIAbstract. Nature Communications 14, (2023).