Deadline: 2020-10-16 Status: Open
The challenge of this Call is to contribute to the development of neural network modules serving cognitive functions such as working memory and attention in order to store and manipulate abstract representations in order to enable basic planning and problem solving. Since conventional (deep) learning neural networks lack the ability to perform symbol-like processing, innovative solutions are required to provide neural implementations of working memory, attention and executive functions that can be integrated into the large-scale cognitive architectures.
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