CORDIS Project
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This project aims to create a biologically inspired model for understanding sentence comprehension using recurrent neural networks. It focuses on developing a system that processes language inputs incrementally, allowing for contextual understanding and learning from user interactions, particularly in robotics applicat…
In this project, we propose to build a biologically plausible model of sentence comprehension based on recurrent neural networks called reservoirs.
Human sentence comprehension is mainly handled by prefrontal cortex areas, which have highly recurrent connectivity.
In both biological and artificial neural networks this recurrence is supposed to enable the management of different aspects of time such as working memory and contextual information processing.
Here, we propose to develop the Reservoir…
UNIVERSITAET HAMBURG
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