List of Papers/Publications

The following is a list of current papers that use ngc-learn (this list will be actively updated as we discover others that use ngc-learn):

  1. Ororbia, A., and Kifer, D. The neural coding framework for learning generative models. Nature Communications 13, 2064 (2022).

  2. Ororbia, A., and Mali, A. Backprop-free reinforcement learning with active neural generative coding. Proceedings of the AAAI Conference on Artificial intelligence (2022).

  3. Ororbia, A. “Spiking neural predictive coding for continual learning from data streams.” arXiv preprint arXiv:1908.08655 (2019).

  4. Ororbia, A, and Kelly, M. Alex. “CogNGen: constructing the kernel of a hyperdimensional predictive processing cognitive architecture.” Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci), Volume 44 (2022).

  5. Ororbia, A., and Kelly, M. Alex. ““Learning using a Hyperdimensional Predictive Processing Cognitive Architecture.” 15th International Conference on Artificial General Intelligence (AGI) (2022).

  6. Ororbia, A., Mali, A., Kifer, D., & Giles, C. L. “Lifelong neural predictive coding: Learning cumulatively online without forgetting.” Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) (2022).

Note: Please let us know if your work uses ngc-learn so we can update this page to accurately track ngc-learn’s use and include your work in the accumulating body of work in predictive processing and/or brain-inspired computational modeling.