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A Data-driven Typology of Vision Models from Integrated Representational Metrics
Large vision models differ widely in architecture and training paradigm, yet we lack principled methods to determine which aspects of …
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Brain-model evaluations need the neuroai turing test
What makes an artificial system a good model of intelligence? The classical test proposed by Alan Turing focuses on behavior, requiring …
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Integrated representational signatures strengthen specificity in brains and models
The extent to which different neural or artificial neural networks (models) rely on equivalent representations to support similar tasks …
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Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families
Representational similarity metrics are fundamental tools in neuroscience and AI, yet we lack systematic comparisons of their …
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Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
The human language system represents both linguistic forms and meanings, but the abstractness of the meaning representations remains …
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Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport
Standard representational similarity methods align each layer of a network to its best match in another independently, producing …
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Higher visual areas act like domain-general filters with strong selectivity and functional specialization
Neuroscientific studies rely heavily on a-priori hypotheses, which can bias results toward existing theories. Here, we use a …
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Privileged representational axes in biological and artificial neural networks
The widespread finding of neural populations apparently tuned to specific, identifiable fea- tures of our external environment (e.g., …
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Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Common measures of neural representational (dis)similarity are designed to be insensitive to rotations and reflections of the neural …
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