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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
Published on: December 8, 2023
Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific
James J DiCarlo1, Daniel L K Yamins2, Michael E Ferguson1
1Dept. of Brain and Cognitive Sciences, Quest for Intelligence, and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA dicarlo@mit.edu; https://dicarlolab.mit.edu mferg@mit.edu evelina9@mit.edu; https://evlab.mit.edu/ msch@mit.edu; https://mschrimpf.com/.
Abstract:
In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the currently leading models of human vision without producing alternatives. They eschew the use of public benchmarking platforms to compare vision models with the brain and behavior, and they advocate for a fragmented, phenomenon-specific modeling approach. These are unconstructive to scientific progress. We outline how the Brain-Score community is moving forward to add new model-to-human comparisons to its community-transparent suite of benchmarks.
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