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10/15/2022
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Neuroscience has long been an important driver of progress in artificial...
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06/17/2022
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
The neural underpinning of the biological visual system is challenging t...
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03/16/2022
Understanding robustness and generalization of artificial neural networks through Fourier masks
Despite the enormous success of artificial neural networks (ANNs) in man...
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07/29/2021
Towards robust vision by multi-task learning on monkey visual cortex
Deep neural networks set the state-of-the-art across many tasks in compu...
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12/10/2020
Flexible Few-Shot Learning with Contextual Similarity
Existing approaches to few-shot learning deal with tasks that have persi...
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10/22/2020
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
In recent years, artificial neural networks have achieved state-of-the-a...
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11/11/2019
Learning From Brains How to Regularize Machines
Despite impressive performance on numerous visual tasks, Convolutional N...
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04/15/2019
Three scenarios for continual learning
Standard artificial neural networks suffer from the well-known issue of ...
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09/27/2018
Generative replay with feedback connections as a general strategy for continual learning
Standard artificial neural networks suffer from the well-known issue of ...
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09/27/2018
A rotation-equivariant convolutional neural network model of primary visual cortex
Classical models describe primary visual cortex (V1) as a filter bank of...
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07/29/2018
