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05/19/2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Humans and animals have a rich and flexible understanding of the physica...
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10/22/2020
Identifying Learning Rules From Neural Network Observables
The brain modifies its synaptic strengths during learning in order to be...
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06/22/2020
Learning Physical Graph Representations from Visual Scenes
Convolutional Neural Networks (CNNs) have proved exceptional at learning...
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02/28/2020
Two Routes to Scalable Credit Assignment without Weight Symmetry
The neural plausibility of backpropagation has long been disputed, prima...
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12/12/2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Recently, deep feedforward neural networks have achieved considerable su...
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09/13/2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Deep convolutional artificial neural networks (ANNs) are the leading cla...
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06/20/2018
Task-Driven Convolutional Recurrent Models of the Visual System
Feed-forward convolutional neural networks (CNNs) are currently state-of...
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03/27/2017
Biologically inspired protection of deep networks from adversarial attacks
Inspired by biophysical principles underlying nonlinear dendritic comput...
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02/06/2017