DTL’s partner Centrum Wiskunde & Informatica (CWI) and the Netherlands Institute for Neuroscience (NIN) have developed a biologically plausible neural network model for working memory. The model tries to answer the question how memory cells can learn to remember task related information. The results were published in the March edition of PLoS Computational Biology
Scientists understand how neurons, the smallest computational units of the brain, behave during tasks, but how brains learn to make efficient choices is unknown, in particular when the brain’s working memory is involved. The brain’s working memory is an essential part of intelligence that has been studied for a long time. To develop their model, the researchers created a parallel with complex animal behaviour-learning through reinforcement learning.