Workgroup on Neuromophic Natural Language Processing Home Page

We will study neuromorphic NLP by (1) better understanding the language computation in the brain and (2) by building bio-inspired real-time NLP systems. Such constraints are typically ignored by the NLP community. Input to the NLP systems will use off-the-shelf speech processing modules or text as input and output. We propose that the NLP system be implemented in a spike-based architecture using PyNN and Nest, Brian, or SpiNNaker. Here is a version of the working group proposal.

The project members include:

Related Sites:

Tutorials and Code: