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The neuroconnectionist research programme
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
Functional neuroimaging as a catalyst for integrated neuroscience
Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
Consciousness in artificial intelligence: insights from the science of consciousness
P Butlin, R Long, E Elmoznino, Y Bengio… - ar** high-level visual representation in brains and machines?
The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …
models offers new potential for examining how different inductive biases impact …
Improving neural network representations using human similarity judgments
Deep neural networks have reached human-level performance on many computer vision
tasks. However, the objectives used to train these networks enforce only that similar images …
tasks. However, the objectives used to train these networks enforce only that similar images …