Quantifying the Brain Predictivity of Artificial Neural Networks with Nonlinear Response Mapping
Aditi Anand, Sanchari Sen, Kaushik Roy
This paper introduces a method to quantify neural predictivity by mapping ANN activations to brain responses with a nonlinear function, finding that non-linear mapping improves predictivity and that pruning increases it.
Frontiers in Computational Neuroscience · Aug 24, 2021Peer-reviewedNeuroscience