no code implementations • 21 Mar 2024 • Stephan Pohl, Edgar Y. Walker, David L. Barack, Jennifer Lee, Rachel N. Denison, Ned Block, Florent Meyniel, Wei Ji Ma
We discuss how common methods such as correlational analyses, decoding and encoding models, representational similarity analysis, and tests of statistical dependence are used to evaluate the desiderata.
no code implementations • 27 May 2022 • Heiko H. Schütt, Wei Ji Ma
A visual system has to learn both which features to extract from images and how to group locations into (proto-)objects.
no code implementations • 9 Feb 2022 • Edgar Y Walker, Stephan Pohl, Rachel N Denison, David L Barack, Jennifer Lee, Ned Block, Wei Ji Ma, Florent Meyniel
The study of the brain's representations of uncertainty is a central topic in neuroscience.
no code implementations • 2 May 2020 • Wei Ji Ma, Benjamin Peters
What might sound like the beginning of a joke has become an attractive prospect for many cognitive scientists: the use of deep neural network models (DNNs) as models of human behavior in perceptual and cognitive tasks.
2 code implementations • 12 Jan 2020 • Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
We provide theoretical arguments in favor of IBS and an empirical assessment of the method for maximum-likelihood estimation with simulation-based models.
4 code implementations • NeurIPS 2017 • Luigi Acerbi, Wei Ji Ma
Computational models in fields such as computational neuroscience are often evaluated via stochastic simulation or numerical approximation.
1 code implementation • 12 Jan 2016 • A. Emin Orhan, Wei Ji Ma
We show that generic neural networks trained with a simple error-based learning rule perform near-optimal probabilistic inference in nine common psychophysical tasks.
no code implementations • NeurIPS 2014 • Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar
Bayesian observer models are very effective in describing human performance in perceptual tasks, so much so that they are trusted to faithfully recover hidden mental representations of priors, likelihoods, or loss functions from the data.