no code implementations • 28 Nov 2022 • Tal Golan, Wenxuan Guo, Heiko H. Schütt, Nikolaus Kriegeskorte
Comparing representations of complex stimuli in neural network layers to human brain representations or behavioral judgments can guide model development.
1 code implementation • 7 Apr 2022 • Tal Golan, Matthew Siegelman, Nikolaus Kriegeskorte, Christopher Baldassano
Neural network language models can serve as computational hypotheses about how humans process language.
2 code implementations • 21 Nov 2019 • Tal Golan, Prashant C. Raju, Nikolaus Kriegeskorte
To efficiently compare models' ability to predict human responses, we synthesize controversial stimuli: images for which different models produce distinct responses.
2 code implementations • NeurIPS 2019 • Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
Unfortunately, acquiring sufficient "labeled" pairs of {Image, fMRI} (i. e., images with their corresponding fMRI responses) to span the huge space of natural images is prohibitive for many reasons.
1 code implementation • 13 Feb 2019 • Nikolaus Kriegeskorte, Tal Golan
Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence, where they are used to approximate functions and dynamics by learning from examples.