Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models

no code implementations • NeurIPS 2018 • Amir Dezfouli, Richard Morris, Fabio T. Ramos, Peter Dayan, Bernard Balleine

One standard approach to this is model-based fMRI data analysis, in which a model is fitted to the behavioral data, i. e., a subject's choices, and then the neural data are parsed to find brain regions whose BOLD signals are related to the model's internal signals.

Decision Making

Missing Value Imputation With Unsupervised Backpropagation

no code implementations • 19 Dec 2013 • Michael S. Gashler, Michael R. Smith, Richard Morris, Tony Martinez

We evaluate UBP with the task of imputing missing values in datasets, and show that UBP is able to predict missing values with significantly lower sum-squared error than other collaborative filtering and imputation techniques.

Collaborative Filtering General Classification +1