Tutorial Workshop on Contemporary Deep Neural Network Models


Neural network models were exploited in the late 80’s and 90’s to model human cognition, based on developments such as the back propagation learning algorithm. Over the last 10 years, massive data sets, enhanced computational resources, and new developments in algorithms have led to explosive growth in use of such models in machine learning and artificial intelligence. We propose a workshop to bring the tools, methods, and insights from this research into contemporary cognitive science and cognitive neuroscience.

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