Martin Schrimpf

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Martin Schrimpf

Driving and suppressing the human language network using large language models

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Fixing the problems of deep neural networks will require better training data and learning algorithms

Driving and suppressing the human language network using large language models

Fixing the problems of deep neural networks will require better training data and learning algorithms

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision