NeuroAI
26 items tagged
(2026).
Neuronal Tuning Aligns Dynamically with Object- and Texture Manifolds across the Visual Hierarchy.
Nature Neuroscience.
(2025).
Structure as an inductive bias for brain–model alignment.
Nature Machine Intelligence.
(2025).
Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment.
Journal of Vision.
(2024).
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules.
The First Workshop on System-2 Reasoning at Scale, NeurIPS'24.
(2024).
Do diffusion models generalize on abstract rules for reasoning?.
2024 Conference on Cognitive Computational Neuroscience.
(2023).
Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale.
NeurIPS 2023 UniReps Workshop: the First Workshop on Unifying Representations in Neural Models.
(2022).
On the Level Sets and Invariance of Neural Tuning Landscapes.
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations.
(2022).
Factorized convolution models for interpreting neuron-guided images synthesis.
2022 Conference on Cognitive Computational Neuroscience.
(2021).
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.
NeurIPS 2021 SVRHM Workshop.
(2019).
A mechanism for synaptic copy between neural circuits.
Neural computation.